CN115478836A - Method, device and equipment for determining threshold information of pore parameters and storage medium - Google Patents

Method, device and equipment for determining threshold information of pore parameters and storage medium Download PDF

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CN115478836A
CN115478836A CN202110664926.0A CN202110664926A CN115478836A CN 115478836 A CN115478836 A CN 115478836A CN 202110664926 A CN202110664926 A CN 202110664926A CN 115478836 A CN115478836 A CN 115478836A
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parameter
pore
core
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赵春妮
贾松
李舫
夏茂龙
卢晓敏
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Petrochina Co Ltd
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    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
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Abstract

The application provides a method, a device, equipment and a storage medium for determining threshold information of pore parameters, and belongs to the technical field of oil-gas development. The method comprises the following steps: determining a minimum pore infiltration parameter of an oil-gas layer according to a pore parameter, an infiltration parameter and a yield parameter of the first sample core, and determining a plurality of target cores from a plurality of test cores according to a pore parameter and a bound water saturation parameter of the second sample core; determining at least one first target core with a pore infiltration parameter not smaller than the minimum pore infiltration parameter and at least one second target core with a pore infiltration parameter smaller than the minimum pore infiltration parameter from a plurality of target cores according to the minimum pore infiltration parameter, and determining threshold information based on the reserve of the at least one first target core and the reserve of the at least one second target core. The contribution and influence of the reserves of the first target core and the second target core on the hydrocarbon reserve of the hydrocarbon reservoir are comprehensively considered, so that the accuracy of the determined threshold information of the pore parameters is improved.

Description

Method, device and equipment for determining threshold information of pore parameters and storage medium
Technical Field
The application relates to the technical field of oil and gas development, in particular to a method, a device, equipment and a storage medium for determining threshold information of pore parameters.
Background
Before the development of the hydrocarbon reservoir, whether the geological reserves of the hydrocarbon reservoir meet the development conditions needs to be determined, and then the hydrocarbon reservoir meeting the development conditions needs to be developed. The geologic reserves of a hydrocarbon reservoir are currently typically determined by a volumetric method, and prior to determining the geologic reserves of a hydrocarbon reservoir by a volumetric method, a lower porosity limit of the hydrocarbon reservoir needs to be determined.
In the related art, the method for determining the lower limit of the porosity of the hydrocarbon reservoir comprises the following steps: obtaining test data of a plurality of test points in an area where a hydrocarbon reservoir is located, wherein the test data comprises simulated daily output and porosity corresponding to a rock core at the position of the test point; determining relation data between the simulated daily output and the porosity through a direct proportion function based on the simulated daily output and the porosity corresponding to the rock core at each test point position; and determining the standard daily output of the area where the hydrocarbon reservoir is located, and then determining the porosity lower limit of the hydrocarbon reservoir through the standard daily output and the relation data.
However, the positive correlation between the porosity of the hydrocarbon reservoir and the simulated daily output is only suitable for homogeneous hydrocarbon reservoirs, and for heterogeneous hydrocarbon reservoirs, the positive correlation between the porosity of the hydrocarbon reservoir and the simulated daily output is poor, and the porosity and the simulated daily output are not in a direct proportion relation, so that the relation data determined by the direct proportion function in the related technology is inaccurate, and the accuracy of the porosity lower limit of the hydrocarbon reservoir determined by the relation data is low.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for determining threshold information of a porosity parameter, which can improve the accuracy of the determined porosity lower limit of an oil-gas reservoir. The technical scheme is as follows:
in one aspect, the present application provides a method for determining threshold information of a pore parameter, including:
determining a plurality of first sample cores, a plurality of second sample cores and a plurality of test cores in an oil and gas layer to be tested;
for each first sample core, determining a pore parameter, a permeability parameter, and a yield parameter of the first sample core, and, for each second sample core, determining a pore parameter and a bound water saturation parameter of the second sample core;
determining a minimum pore infiltration parameter of the hydrocarbon reservoir according to the pore parameter, the permeability parameter and the yield parameter of the first sample core, and determining a plurality of target cores from the plurality of test cores according to the pore parameter and the bound water saturation parameter of the second sample core;
determining at least one first target core and at least one second target core from the plurality of target cores according to the minimum pore infiltration parameter, wherein the first target core is a target core with a pore infiltration parameter not smaller than the minimum pore infiltration parameter, and the second target core is a target core with a pore infiltration parameter smaller than the minimum pore infiltration parameter;
determining the reserves of the at least one first target core and the reserves of the at least one second target core, and determining threshold information of the pore parameters of the hydrocarbon reservoir based on the reserves of the at least one first target core and the reserves of the at least one second target core.
In one possible implementation, the determining a minimum pore infiltration parameter of the hydrocarbon reservoir from the pore parameter, the permeability parameter, and the production parameter of the first sample core includes:
determining the standard yield of the oil-gas layer and the first sample core pore infiltration parameters, wherein the pore infiltration parameters of any first sample core are the product of the pore parameters and the infiltration parameters of the first sample core;
determining first relation data according to the yield parameter and the pore infiltration parameter of the first sample core, wherein the first relation data is used for expressing the relation between the yield parameter and the pore infiltration parameter;
and determining the minimum pore volume parameter of the hydrocarbon reservoir according to the first relation data and the standard yield of the hydrocarbon reservoir.
In another possible implementation manner, the determining first relational data according to the yield parameter and the pore volume parameter of the first sample core includes:
inputting the yield parameter and the pore infiltration parameter of each rock core into a first formula, and determining a first parameter and a second parameter in the first formula to obtain first relational data;
the formula I is as follows:
Figure BDA0003116918970000021
wherein q represents the yield parameter,
Figure BDA0003116918970000022
represents the pore volume parameter, a represents the first parameter, and b represents the second parameter.
In another possible implementation manner, the determining a plurality of target cores from the plurality of test cores according to the pore parameter and the bound water saturation parameter of the second sample core includes:
determining second relation data between the pore parameter and the bound water saturation parameter according to the pore parameter and the bound water saturation parameter of the second sample core, wherein the second relation data is used for representing a negative correlation relation between the pore parameter and the bound water saturation parameter;
determining the minimum pore parameter of the hydrocarbon reservoir according to the maximum bound water saturation parameter of the hydrocarbon reservoir and the second relation data;
determining pore parameters of the plurality of test cores, and determining a plurality of target cores with pore parameters not smaller than the minimum pore parameters from the plurality of test cores.
In another possible implementation manner, the determining, according to the pore parameter and the bound water saturation parameter of the second sample core, second relationship data between the pore parameter and the bound water saturation parameter includes:
inputting the pore parameters and the bound water saturation parameters of the second sample core into a second formula, and determining third parameters and fourth parameters in the second formula to obtain second relational data;
the formula II is as follows:
Figure BDA0003116918970000031
wherein S is w Represents the bound water saturation parameter of the water-containing gas,
Figure BDA0003116918970000032
represents the pore parameter, c represents the third parameter, and d represents the fourth parameter.
In another possible implementation manner, the determining the reserve of the at least one first target core and the reserve of the at least one second target core includes:
for each first target core, determining the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the first target core, and determining the reserve of the first target core according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the first target core by using a third formula to obtain the reserve of at least one first target core;
the formula III is as follows:
Figure BDA0003116918970000033
and the number of the first and second groups,
for each second target core, determining the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core, and determining the reserve of the second target core according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core by the following formula IV to obtain the reserve of at least one second target core;
the formula four is as follows:
Figure BDA0003116918970000034
wherein, A 1 Representing the hydrocarbon-bearing area, h, of the first target core 1 Representing an effective reservoir thickness of the first target core, B 1 Representing a volume coefficient of the first target core,
Figure BDA0003116918970000035
a pore parameter indicative of the first target core,
Figure BDA0003116918970000041
representing the reserve of the first target core, S w1 Representing bound water saturation parameter, A, of the first target core 2 Representing the hydrocarbon-bearing area of the second target core, h 2 Representing the effective reservoir thickness of the second target core, B 2 A volume factor representing the second target core,
Figure BDA0003116918970000042
a pore parameter representative of the second target core,
Figure BDA0003116918970000043
representing the reserve of the second target core, S w2 Representing a bound water saturation parameter of the second target core.
In another possible implementation manner, the determining threshold information of the pore parameter of the hydrocarbon reservoir based on the reserve of the at least one first target core and the reserve of the at least one second target core includes:
sequencing the at least one first target core from small to large according to the pore parameter of each first target core, and determining a first total reserve of the sequenced plurality of first target cores, wherein the first total reserve is the sum of the reserves of the plurality of first target cores of which the pore parameter is smaller than a preset parameter;
sequencing the at least one second target core from large to small according to the pore parameter of each second target core, and determining a second total reserve of the sequenced second target cores, wherein the second total reserve is the sum of the reserves of the second target cores of which the pore parameter is not less than the preset parameter;
and determining corresponding target preset parameters when the first total reserve volume is the same as the second total reserve volume, and determining the target preset parameters as threshold information of pore parameters of the oil-gas reservoir.
In another aspect, the present application provides an apparatus for determining threshold information of a pore parameter, the apparatus comprising:
the first determining module is used for determining a plurality of first sample cores, a plurality of second sample cores and a plurality of testing cores in an oil and gas formation to be tested;
the second determining module is used for determining the pore parameter, the permeability parameter and the yield parameter of each first sample core, and determining the pore parameter and the bound water saturation parameter of each second sample core;
the third determining module is used for determining the minimum pore infiltration parameter of the oil-gas layer according to the pore parameter, the infiltration parameter and the yield parameter of the first sample core, and determining a plurality of target cores from the plurality of test cores according to the pore parameter and the bound water saturation parameter of the second sample core;
a fourth determining module, configured to determine, according to the minimum pore infiltration parameter, at least one first target core and at least one second target core from the multiple target cores, where the first target core is a target core whose pore infiltration parameter is not less than the minimum pore infiltration parameter, and the second target core is a target core whose pore infiltration parameter is less than the minimum pore infiltration parameter;
a fifth determination module to determine the reserve of the at least one first target core and the reserve of the at least one second target core, and determine threshold information for a pore parameter of the hydrocarbon reservoir based on the reserve of the at least one first target core and the reserve of the at least one second target core.
In a possible implementation manner, the third determining module is configured to determine the standard yield of the hydrocarbon reservoir and the pore volume parameter of the first sample core, where the pore volume parameter of any first sample core is a product of a pore parameter and a permeability parameter of the first sample core; determining first relation data according to the yield parameter and the pore infiltration parameter of the first sample core, wherein the first relation data is used for expressing the relation between the yield parameter and the pore infiltration parameter; and determining the minimum pore volume parameter of the hydrocarbon reservoir according to the first relation data and the standard yield of the hydrocarbon reservoir.
In another possible implementation manner, the third determining module is configured to input the yield parameter and the pore volume parameter of the first sample core into a first formula, and determine a first parameter and a second parameter in the first formula to obtain the first relational data;
the formula I is as follows:
Figure BDA0003116918970000051
wherein q represents the yield parameter,
Figure BDA0003116918970000052
represents the pore volume parameter, a represents the first parameter, and b represents the second parameter.
In another possible implementation manner, the third determining module is configured to determine second relation data between the pore parameter and the bound water saturation parameter according to the pore parameter and the bound water saturation parameter of the second sample core, where the second relation data is used to represent a negative correlation relationship between the pore parameter and the bound water saturation parameter; determining the minimum pore parameter of the hydrocarbon reservoir according to the maximum bound water saturation parameter of the hydrocarbon reservoir and the second relation data; determining pore parameters of the plurality of test cores, and determining a plurality of target cores with pore parameters not less than the minimum pore parameter from the plurality of test cores.
In another possible implementation manner, the third determining module is configured to input the pore parameter and the bound water saturation parameter of the second sample core into a second formula, and determine a third parameter and a fourth parameter in the second formula to obtain the second relational data;
the formula II is as follows:
Figure BDA0003116918970000053
wherein S is w Represents the bound water saturation parameter of the water-containing gas,
Figure BDA0003116918970000054
represents the pore parameter, c represents the third parameter, and d represents the fourth parameter.
In another possible implementation manner, the fifth determining module is configured to determine, for each first target core, an oil-gas area, an effective reservoir thickness, a volume coefficient, a bound water saturation parameter, and a pore parameter of the first target core, and determine, according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter, and the pore parameter of the first target core, a reserve of the first target core by using a third formula below, so as to obtain a reserve of the at least one first target core;
the formula III is as follows:
Figure BDA0003116918970000061
and the number of the first and second groups,
for each second target core, determining the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core, and determining the reserve of the second target core according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core by the following formula IV to obtain the reserve of at least one second target core;
the formula four is as follows:
Figure BDA0003116918970000062
wherein A is 1 Representing the hydrocarbon-bearing area, h, of the first target core 1 Representing an effective reservoir thickness of the first target core, B 1 Representing a volume coefficient of the first target core,
Figure BDA0003116918970000063
a pore parameter indicative of the first target core,
Figure BDA0003116918970000064
representing the reserve of the first target core, S w1 Representing a bound water saturation parameter, A, of the first target core 2 Representing the hydrocarbon-bearing area, h, of the second target core 2 Representing the effective reservoir thickness of the second target core, B 2 Representing a volume factor of the second target core,
Figure BDA0003116918970000065
a pore parameter indicative of the second target core,
Figure BDA0003116918970000066
representing the reserve of the second target core, S w2 Representing a bound water saturation parameter of the second target core.
In another possible implementation manner, the fifth determining module is configured to sort, according to the pore parameter of each first target core, the at least one first target core from small to large according to the pore parameter, and determine a first total reserve of the sorted first target cores, where the first total reserve is a sum of reserves of the first target cores whose pore parameter is smaller than a preset parameter; sequencing the at least one second target core from large to small according to the pore parameter of each second target core, and determining a second total reserve of the sequenced second target cores, wherein the second total reserve is the sum of the reserves of the second target cores of which the pore parameter is not less than the preset parameter; and determining corresponding target preset parameters when the first total reserve amount is the same as the second total reserve amount, and determining the target preset parameters as threshold information of the pore parameters of the oil-gas layer.
In another aspect, an embodiment of the present application provides a computer device, where the computer device includes: a processor and a memory, the memory having stored therein at least one program code, the at least one program code being loaded by the processor and executed to perform operations performed in a method of threshold information determination of a pore parameter for implementing any of the possible implementations described above.
In another aspect, an embodiment of the present application provides a computer-readable storage medium, where at least one program code is stored in the computer-readable storage medium, and the at least one program code is loaded by a processor and executed to implement the operations performed in the method for determining threshold information of a pore parameter according to any one of the foregoing possible implementations.
The technical scheme provided by the embodiment of the application has the beneficial effects that at least:
on one hand, because an effective core with a pore infiltration parameter not less than a minimum pore infiltration parameter and an ineffective core with a pore infiltration parameter less than the minimum pore infiltration parameter are determined from a plurality of cores in an oil and gas layer through the minimum pore infiltration parameter of the oil and gas layer, and the minimum pore infiltration parameter of the oil and gas layer is determined through two dimensions of porosity and permeability of the oil and gas layer, the accuracy of determining the effective core and the ineffective core is improved; on the other hand, the porosity corresponding to the situation that the reserve volume of the effective core is the same as the oil storage gas volume of the ineffective core is determined to be used as the lower limit of the porosity, so that the oil and gas reserve volume of the ineffective core in the effective thickness section and the oil and gas reserve volume of the effective core not in the effective thickness section can be mutually offset, and the oil and gas reserve volume of the determined effective thickness section is closer to the true value. Therefore, the effective rock core and the invalid rock core in the oil and gas reservoir can be accurately determined from two dimensions of porosity and permeability, the contribution and the influence of the reserves of the effective rock core and the invalid rock core on the oil and gas reserves of the oil and gas reservoir can be comprehensively considered, so that the determined threshold information of the pore parameters is closer to the actual lower limit of the porosity of the oil and gas reservoir, and the accuracy of the determined threshold information of the pore parameters is further improved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart illustrating a method of threshold information determination of a pore parameter in accordance with an exemplary embodiment;
FIG. 2 is a schematic diagram illustrating a determination principle of threshold information of a pore parameter according to an exemplary embodiment;
FIG. 3 is a schematic diagram illustrating a target preset parameter when it is determined that the first total reserve amount and the second total reserve amount are the same, according to an exemplary embodiment;
FIG. 4 is a block diagram illustrating an apparatus for determining threshold information for a pore parameter in accordance with an exemplary embodiment;
fig. 5 is a block diagram of a computer device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
FIG. 1 is a flow chart illustrating a method of threshold information determination of a pore parameter according to an exemplary embodiment. Referring to fig. 1, the method includes:
101. the computer device determines a plurality of first sample cores, a plurality of second sample cores, and a plurality of test cores within an oil and gas formation to be tested.
The plurality of test cores within the hydrocarbon formation to be tested may be uniformly selected or non-uniformly selected. In one possible implementation, the plurality of test cores are uniformly selected. Correspondingly, the step of determining a plurality of test cores in the oil and gas layer to be tested by the computer equipment comprises the following steps: the computer equipment determines a first preset distance between any two sampling points in the oil-gas layer, selects a plurality of sampling points from the oil-gas layer according to the first preset distance, and determines rock cores corresponding to the sampling points as a plurality of test rock cores in the oil-gas layer.
Wherein the first preset distance may be any value between 0.1m and 0.5m, for example, 0.1m, 0.2m, 0.5m, etc.; in the embodiment of the present application, the value of the first preset distance is not specifically limited, and may be set and modified as needed.
Wherein the number of the plurality of test cores may be any number between 100 and 10000, for example, 300, 500, 800, and the like; in the embodiment of the present application, the number of the plurality of test cores is not specifically limited, and may be set and modified as needed.
It should be noted that one sampling point may correspond to one test core, or may correspond to a plurality of test cores. When one sampling point corresponds to a plurality of test cores, the depth intervals between any two test cores in the plurality of test cores are the same. Wherein the depth interval may be any value between 0.3m and 1m, e.g., 0.3m, 0.4m, 0.5m, etc.; in the embodiment of the present application, the value of the depth interval is not particularly limited, and may be set and modified as needed.
In one possible implementation, a computer device randomly determines a plurality of first sample cores and a plurality of second sample cores from a plurality of test cores. In another possible implementation manner, the computer device determines the porosity of the plurality of test cores, determines the porosity distribution information of the plurality of test cores, and determines the plurality of first sample cores and the plurality of second sample cores from the plurality of test cores according to the porosity distribution information.
For example, the number of test cores was 100; the number of the test cores with the porosity of 0 to 1 is 50, the number of the test cores with the porosity of 1 to 2 is 30, the number of the test cores with the porosity of 2 to 3 is 20, and the number of the test cores with the porosity of 3 to 4 is 10. Selecting 5 first sample cores and 5 second sample cores from a test core with porosity between 0 and 1 by computer equipment; selecting 3 first sample cores and 3 second sample cores from a test core with porosity between 1 and 2; selecting 2 first sample cores and 2 second sample cores from a test core with porosity between 2 and 3; 1 first sample core and 1 second sample core were selected from test cores having porosities between 3 and 4.
In another possible implementation, a computer device determines a plurality of zones within a hydrocarbon formation, and selects at least one first sample core and at least one second sample core from each zone to obtain a plurality of first sample cores and a plurality of second sample cores. Optionally, the areas of the plurality of regions are the same, and the computer device divides the hydrocarbon reservoir into the plurality of regions with the same area according to the total area of the hydrocarbon reservoir.
The number of the plurality of first sample cores can be any number between 10-50, e.g., 10, 15, 20, etc.; the number of the plurality of second sample cores may be any number between 10 and 50, for example, 10, 15, 20, etc.; in the embodiment of the present application, the number of the plurality of first sample cores and the plurality of second sample cores is not particularly limited, and may be set and modified as needed.
102. The computer device determines, for each first sample core, a pore parameter, a permeability parameter, and a yield parameter of the first sample core, and, for each second sample core, a pore parameter and a bound water saturation parameter of the second sample core.
In one possible implementation, the porosity parameter comprises porosity, the permeability parameter comprises permeability, and the irreducible water saturation parameter comprises irreducible water saturation.
In one possible implementation, the computer device determines the above parameters by testing. Correspondingly, the method comprises the following steps: for each first sample core, the computer equipment determines the porosity of the first sample core through a porosity tester, determines the permeability of the first sample core through a permeability tester, and determines the yield parameter of the first sample core through full-simulation capacity equipment; and for each second sample core, determining the porosity of the second sample core through a porosity tester, and determining the irreducible water saturation of the second sample core through a mercury intrusion experiment tester. Alternatively, the production parameter of the first sample core may be a daily production corresponding to the first sample core.
The method has the advantages that the irreducible water saturation of the sample core can be obtained through testing by the relative permeability tester, and when the type of the sample core is suitable for determining the irreducible water saturation through the mercury intrusion experiment tester, the computer equipment can also determine the irreducible water saturation through the relative permeability tester, so that the irreducible water saturation can be determined by all types of sample cores, and the adaptability of determining the irreducible water saturation is improved.
In another possible implementation manner, for each first sample core and each second sample core, a tester obtains a pore parameter, a permeability parameter, and a yield parameter of the first sample core, and a pore parameter and a bound water saturation parameter of the second sample core through a test, uploads the parameters to a computer device, and the computer device stores the parameters to obtain the pore parameter, the permeability parameter, and the yield parameter of the first sample core, and the pore parameter and the bound water saturation parameter of the second sample core.
103. The computer device determines a minimum pore infiltration parameter of the hydrocarbon reservoir based on the pore parameter, the permeability parameter, and the production parameter of the first sample core, and determines a plurality of target cores from the plurality of test cores based on the pore parameter and the irreducible water saturation parameter of the second sample core.
In one possible implementation manner, the step of determining, by the computer device, the minimum pore volume parameter of the hydrocarbon reservoir according to the pore parameter, the permeability parameter, and the yield parameter of the first sample core is as follows: the computer equipment determines the standard yield of a hydrocarbon reservoir and the pore infiltration parameters of the first sample core, wherein the pore infiltration parameter of any first sample core is the product of the pore parameter and the infiltration parameter of the first sample core; according to the first sampleDetermining first relation data according to the yield parameter and the pore infiltration parameter of the rock core, wherein the first relation data is used for expressing the relation between the yield parameter and the pore infiltration parameter; and determining the minimum pore volume parameter of the hydrocarbon reservoir according to the first relational data and the standard yield of the hydrocarbon reservoir. Optionally, the porosity parameter is porosity, using letters
Figure BDA0003116918970000101
Denotes that the permeability parameter is permeability, denoted by the letter k, the pore permeability parameter is
Figure BDA0003116918970000102
In one possible implementation, the standard yield is a measure of the reserve of the burial depth of the hydrocarbon reservoir, and the computer device stores a correspondence between depth and standard yield. Correspondingly, the step of obtaining the standard yield of the hydrocarbon reservoir by the computer equipment comprises the following steps: the computer equipment determines the depth of the hydrocarbon reservoir and determines the standard yield corresponding to the depth of the hydrocarbon reservoir from the stored correspondence between the depth and the standard yield according to the depth of the hydrocarbon reservoir. Optionally, the yield up to standard is the daily yield up to standard.
In a possible implementation manner, the step of determining, by the computer device, the first relation data according to the yield parameter and the pore infiltration parameter of the first sample core includes: the computer equipment inputs the yield parameter and the pore infiltration parameter of the first sample core into a first formula, and determines a first parameter and a second parameter in the first formula to obtain first relational data;
the formula I is as follows:
Figure BDA0003116918970000111
wherein q represents a yield parameter,
Figure BDA0003116918970000112
represents a pore volume parameter, a represents a first parameter, and b represents a second parameter.
It should be noted that the number of the first sample cores is at least three, and the larger the number of the first sample cores is, the closer the obtained first data parameter is to the actual situation. When the number of the first sample cores is multiple, the computer device may use an average value of the multiple first parameters as a final first parameter and use an average value of the multiple second parameters as a final second parameter.
For example, the number of first sample cores was 3; the core comprises a core A, a core B and a core C. The computer equipment determines a first parameter a according to the rock core A and the rock core B 1 And a second parameter b 1 (ii) a The computer equipment determines a first parameter a according to the rock core A and the rock core C 2 And a second parameter b 2 (ii) a The computer equipment determines a first parameter a according to the rock core B and the rock core C 3 And a second parameter b 3 (ii) a Computer equipment determines first parameter a 1 、a 2 And a 3 Is the final first parameter a; the computer device determines a second parameter b 1 、b 2 And b 3 Is the final second parameter b.
In one possible implementation, the step of determining, by the computer device, a minimum pore volume parameter of the hydrocarbon reservoir based on the first relational data and the yield to standard is: and inputting the standard yield into the first relation data by the computer equipment to obtain a target pore infiltration parameter corresponding to the standard yield, and taking the target pore infiltration parameter as the minimum pore infiltration parameter of the oil-gas reservoir.
It should be noted that under certain conditions such as production pressure difference, the positive correlation between the simulated production and the pore-permeability product parameter of the hydrocarbon reservoir is high. The yield that minimum hole infiltration parameter corresponds is the standard yield of this hydrocarbon zone, and effective rock core and the invalid rock core that can include to this hydrocarbon zone through the minimum hole infiltration parameter of hydrocarbon zone like this distinguish, promptly, the rock core that hole infiltration parameter is not less than minimum hole infiltration parameter is effective rock core, and the rock core that hole infiltration parameter is less than minimum hole infiltration parameter is invalid rock core.
In the embodiment of the application, because the positive correlation relationship between the simulated yield and the pore permeability parameter is established, and the simulated yield corresponding to the core with the minimum pore permeability parameter is the standard yield of the oil and gas reservoir, the simulated yield corresponding to the core with the pore permeability parameter smaller than the minimum pore permeability parameter is smaller than the standard yield of the oil and gas reservoir, the simulated yield corresponding to the core with the pore permeability parameter not smaller than the minimum pore permeability parameter can reach or exceed the standard yield of the oil and gas reservoir, and the daily yield of the well drilled in the oil and gas reservoir is required to be not smaller than the standard yield and has development value, therefore, the effective core and the ineffective core included in the oil and gas reservoir are distinguished through the minimum pore permeability parameter of the oil and gas reservoir, the simulated yield corresponding to the effective core can be ensured to be not smaller than the standard yield, and the target oil and gas reservoir determined through the effective core has development value.
In one possible implementation, the computer device determines a plurality of target cores from the plurality of test cores based on the pore parameter and the bound water saturation parameter of the second sample core by: the computer equipment determines second relation data between the pore parameters and the bound water saturation parameters according to the pore parameters and the bound water saturation parameters of the second sample core, wherein the second relation data is used for expressing a negative correlation relation between the pore parameters and the bound water saturation parameters; determining the minimum pore parameter of the hydrocarbon reservoir according to the maximum bound water saturation parameter of the hydrocarbon reservoir and the second relation data; determining pore parameters of the plurality of test cores, and determining a plurality of target cores from the plurality of test cores, wherein the pore parameters are not less than the minimum pore parameters.
In one possible implementation manner, the step of determining, by the computer device, second relationship data between the pore parameter and the bound water saturation parameter according to the pore parameter and the bound water saturation parameter of the second sample core includes: the computer equipment inputs the pore parameters and the bound water saturation parameters of the second sample core into a second formula, and determines third parameters and fourth parameters in the second formula to obtain second relational data;
the formula II is as follows:
Figure BDA0003116918970000121
wherein S is w The bound water saturation parameter is expressed as,
Figure BDA0003116918970000122
denotes the pore parameter, c denotes the third parameter, d denotes the fourth parameter.
It should be noted that, for a third parameter and a fourth parameter, the larger the number of the second sample cores, the closer the obtained second data parameter is to the actual situation, the pore parameter and the bound water saturation parameter of the second sample core. When the number of the second sample cores is plural, the computer device may take an average value of the plurality of third parameters as a final third parameter and an average value of the plurality of fourth parameters as a final fourth parameter.
For example, the number of second sample cores was 3; the core A, the core B and the core C are included. The computer equipment determines a third parameter c according to the rock core A and the rock core B 1 And a fourth parameter d 1 (ii) a The computer equipment determines a third parameter C according to the rock core A and the rock core C 2 And a fourth parameter d 2 (ii) a The computer equipment determines a third parameter C according to the rock core B and the rock core C 3 And a fourth parameter d 3 (ii) a The computer device determines a third parameter c 1 、c 2 And c 3 Is the final third parameter c; the computer device determines a fourth parameter d 1 、d 2 And d 3 Is the final fourth parameter d.
In one possible implementation, the step of determining, by the computer device, the minimum pore parameter of the hydrocarbon reservoir based on the maximum bound water saturation parameter of the hydrocarbon reservoir and the second relationship data is: and the computer equipment inputs the maximum bound water saturation parameter into the second relation data to obtain the minimum pore parameter of the oil-gas reservoir.
It should be noted that the minimum pore parameter is a pore parameter corresponding to the maximum bound water saturation parameter, and is a minimum pore parameter of the reservoir containing oil and gas. When the pore parameter of the reservoir is less than or equal to the minimum pore parameter, filling all reservoir spaces of the reservoir with the bound water; when the pore parameter of the reservoir is not less than the minimum pore parameter, the reservoir has a reservoir space for storing oil and gas except for bound water, and the reservoir has a prerequisite for development. In the embodiment of the application, the pore parameters and the bound water saturation parameters are in a negative correlation relationship, and the pore parameters corresponding to the maximum bound water saturation parameters are determined to be the minimum pore parameters, so that the rock core not less than the minimum pore parameters can be ensured to be the target rock core with development prerequisites. In one possible implementation, the maximum water saturation parameter is 100%.
The other point to be noted is that the porosity of the hydrocarbon reservoir is characterized by the size of the reservoir space of the hydrocarbon reservoir, the permeability of the hydrocarbon reservoir is characterized by the connectivity between the reservoir spaces, and the simulated daily production is related to both the reservoir space and the connectivity between the reservoir spaces, that is, the simulated daily production is related to both the porosity and the permeability of the hydrocarbon reservoir, and under the condition of certain conditions such as production pressure difference, the correlation between the simulated daily production and the permeability is not less than the correlation with the porosity.
For a homogeneous hydrocarbon reservoir, the permeability of multiple zones within the hydrocarbon reservoir is uniformly distributed, the connectivity between reservoir spaces is better, the positive correlation between the porosity of the hydrocarbon reservoir and the simulated daily production is strong, and at this time, the simulated daily production determined by the porosity is substantially the same as the simulated daily production determined by both the porosity and the permeability. However, for the heterogeneous hydrocarbon reservoir, even if the reservoir space of the hydrocarbon reservoir is large, the simulated daily yield is small in value due to low connectivity between the reservoir spaces, and therefore, the method for determining the lower limit of the porosity by simulating the correlation between the daily yield and the porosity in the prior art is not feasible in the heterogeneous hydrocarbon reservoir.
Under the certain condition of production pressure differential etc. condition, the positive correlation of simulation daily output and hole permeability product parameter is higher, and in this application embodiment, because the minimum hole permeability parameter of confirming the oil gas layer through the porosity and the two dimensions of permeability of this oil gas layer, so improved the degree of accuracy of the effective rock core of confirming and invalid rock core, and then improved the accuracy of the porosity lower limit confirmed through effective rock core and invalid rock core.
104. And the computer equipment determines at least one first target core and at least one second target core from the plurality of target cores according to the minimum pore infiltration parameter, wherein the first target core is a target core with a pore infiltration parameter not less than the minimum pore infiltration parameter, and the second target core is a target core with a pore infiltration parameter less than the minimum pore infiltration parameter.
And the pore infiltration parameter of the target core is the product of the pore parameter and the infiltration parameter of the target core.
In one possible implementation manner, the step of determining, by the computer device, at least one first target core and at least one second target core from the plurality of target cores according to the minimum pore permeability parameter includes: and the computer equipment determines at least one first target core with the pore infiltration parameter not less than the minimum pore infiltration parameter from the multiple target cores according to the minimum pore infiltration parameter, and determines at least one second target core with the pore infiltration parameter less than the minimum pore infiltration parameter from the multiple target cores.
One point to be noted is that when the pore infiltration parameter of the target core is not less than the minimum pore infiltration parameter, the target core is determined to be an effective core; when the pore infiltration parameter of the target core is smaller than the minimum pore infiltration parameter, determining that the target core is an invalid core; that is, the first target core is an active core and the second target core is an inactive core.
105. And the computer equipment determines the reserve volume of each first target core and the reserve volume of each second target core, and determines the threshold information of the pore parameters of the hydrocarbon reservoir based on the reserve volume of each first target core and the reserve volume of each second target core.
Optionally, the threshold information of the pore parameter is a limit value of the porosity, for example, the threshold information of the pore parameter is a lower limit value of the pore parameter. Optionally, the reserves in the embodiment of the present application are oil and gas reserves.
In one possible implementation manner, the step of determining, by the computer device, the reserve of each first target core and the reserve of each second target core is: for each first target core, the computer equipment determines the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the first target core, and determines the reserve of the first target core according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the first target core through the following formula III to obtain the reserve of at least one first target core;
the formula III is as follows:
Figure BDA0003116918970000141
and (c) a second step of,
for each second target core, determining the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core, and determining the reserve of the second target core according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core by the following formula IV to obtain the reserve of at least one second target core;
the formula four is as follows:
Figure BDA0003116918970000142
wherein A is 1 Representing the hydrocarbon-bearing area of the first target core, h 1 Effective reservoir thickness, B, representing the first target core 1 A volume factor of the first target core is expressed,
Figure BDA0003116918970000143
a porosity parameter of the first target core is represented,
Figure BDA0003116918970000144
representing the reserve of the first target core, S w1 Represents the bound water saturation parameter, A, of the first target core 2 Representing the hydrocarbon-bearing area, h, of the second target core 2 Effective reservoir thickness, B, for the second target core 2 The volume factor of the second target core is expressed,
Figure BDA0003116918970000145
a porosity parameter of a second target core is represented,
Figure BDA0003116918970000146
the reserve of the second target core is represented,S w2 the bound water saturation parameter of the second target core is represented.
In one possible implementation, the ratio between the product of the hydrocarbon-bearing area and the effective reservoir thickness and the volume factor may be represented by k'. Accordingly, equation three can be converted to:
Figure BDA0003116918970000151
wherein, k' 1 =0.01A 1 h 1 /B 1 . Equation four can be converted to:
Figure BDA0003116918970000152
wherein, k' 2 =0.01A 2 h 2 /B 2 . Optionally, k' 1 Can be taken as 0.01,k' 2 The value of (d) may be 0.01.
It should be noted that the computer device may obtain the bound water saturation parameter of the first target core according to the pore parameter of the first target core by using the second formula. That is to say that the first and second electrodes,
Figure BDA0003116918970000153
wherein S is w1 Representing the bound water saturation parameter of the first target core,
Figure BDA0003116918970000154
the porosity parameter of the first target core is represented, c represents the third parameter, and d represents the fourth parameter.
And the computer equipment can obtain the bound water saturation parameter of the second target core according to the pore parameter of the second target core through the second formula. That is to say,
Figure BDA0003116918970000155
wherein S is w2 The bound water saturation parameter of the second target core is expressed,
Figure BDA0003116918970000156
the porosity parameter of the second target core is represented, c represents the third parameter, and d represents the fourth parameter.
In one possible implementation manner, the computer device determines the threshold information of the pore parameter of the hydrocarbon reservoir based on the reserve of each first target core and the reserve of each second target core by the steps of: sequencing at least one first target rock core from small to large according to the pore parameters by the aid of computer equipment according to the first pore parameters of each first target rock core, and determining first total reserves which are the sum of reserves of the first target rock cores with the pore parameters smaller than preset parameters; sequencing at least one second target core from large to small according to the pore parameters of each second target core, and determining a second total reserve, wherein the second total reserve is the sum of the reserves of the second target cores, the pore parameters of which are not less than preset parameters; and determining a corresponding target preset parameter when the first total reserve amount is the same as the second total reserve amount, and determining that the target preset parameter is threshold information of the pore parameter of the oil-gas layer.
FIG. 2 is a schematic diagram illustrating a principle of threshold information determination of a pore parameter according to an exemplary embodiment. Referring to fig. 2, the abscissa is a pore parameter, the ordinate is a permeability parameter, the lower limit of porosity is a dashed line in the graph, the minimum pore permeability parameter is a curve in the graph, the sample on the upper side of the curve is an effective core not smaller than the minimum pore permeability parameter, the sample on the lower side of the curve is an ineffective core smaller than the minimum pore permeability parameter, and the actual reserve volume of the hydrocarbon reservoir is the hydrocarbon reservoir volume of the effective core, that is, the sum of the hydrocarbon reservoir volumes of the samples represented by the right triangle and the circle in the graph. However, when the porosity lower limit is determined, all samples not less than the porosity lower limit, including the invalid core sample and the valid core sample, are counted in the total hydrocarbon reserves, that is, the sum of the hydrocarbon reserves of the samples represented by the diamonds and the circles on the right side of the straight line in the figure, and when the porosity lower limit makes the sum of the hydrocarbon reserves of the samples represented by the diamonds in the area 1 and the diamond in the area 2 equal, the hydrocarbon reserves of the invalid core included in the total hydrocarbon reserves and the hydrocarbon reserves of the valid core not included in the total hydrocarbon reserves can be mutually offset, so that the determined total hydrocarbon reserves are closer to the true value.
It should be noted that the first target core is an effective core, the second target core is an ineffective core, and the oil-gas reserve of the oil-gas layer is the total oil-gas reserve of all the effective cores, that is, the total oil-gas reserve of the effective thickness section. However, when the porosity lower limit is determined, the oil and gas reserves of the effective cores smaller than the porosity lower limit will not be counted in the total oil and gas reserves, and therefore, in the embodiment of the application, the computer device determines the porosity corresponding to the oil and gas reserves of the effective cores being the same as the oil and gas reserves of the ineffective cores as the porosity lower limit, so that the oil and gas reserves of the ineffective cores and the oil and gas reserves of the effective cores not included in the total oil and gas reserves can be mutually offset, and the determined total oil and gas reserves are closer to the true value.
On one hand, because an effective core with a pore infiltration parameter not less than a minimum pore infiltration parameter and an ineffective core with a pore infiltration parameter less than the minimum pore infiltration parameter are determined from a plurality of cores in an oil and gas layer through the minimum pore infiltration parameter of the oil and gas layer, and the minimum pore infiltration parameter of the oil and gas layer is determined through two dimensions of porosity and permeability of the oil and gas layer, the accuracy of determining the effective core and the ineffective core is improved; on the other hand, in the process of determining the threshold value information of the pore parameters of the oil-gas layer through the oil-gas reserves of the effective rock core and the invalid rock core, the contribution and the influence of the oil-gas reserves of the invalid rock core on the oil-gas reserves of the oil-gas layer are considered, the porosity corresponding to the situation that the reserves of the effective rock core are the same as the oil-gas reserves of the invalid rock core is determined as the lower porosity limit, the oil-gas reserves of the invalid rock core in the effective thickness section and the oil-gas reserves of the effective rock core not in the effective thickness section can be mutually offset, and the oil-gas reserves of the determined effective thickness section are closer to the true value. Therefore, the effective rock core and the invalid rock core in the oil gas layer can be accurately determined from two dimensions of porosity and permeability, the contribution and the influence of the reserves of the effective rock core and the invalid rock core on the oil gas reserves of the oil gas layer can be comprehensively considered, so that the determined threshold information of the pore parameters is closer to the actual lower limit of the porosity of the oil gas layer, and the accuracy of the determined threshold information of the pore parameters is further improved.
The following describes a method for determining threshold information of pore parameters in the present application, taking a pore type carbonate reservoir containing fractures as an example.
Step 1, selecting 15 sample cores and 1371 test cores from the carbonate reservoir by computer equipment.
And 2, determining a pore parameter, a permeability parameter and a bound water saturation parameter of each sample core by computer equipment.
And 3, determining the minimum pore infiltration parameter of the carbonate reservoir by the computer equipment according to the pore parameter and the infiltration parameter of the sample core.
S31, determining the relation between yield and pore infiltration parameters by computer equipment according to the pore parameters and the infiltration parameters of the 15 sample cores as follows:
Figure BDA0003116918970000171
wherein q represents the yield,
Figure BDA0003116918970000172
indicating the pore volume parameter, 25.56 the first parameter, 0.7703 the second parameter.
S32, determining the qualified yield of the carbonate reservoir to be 2.0 ten thousand square per day by the computer equipment according to the depth of the carbonate reservoir; by first relational data
Figure BDA0003116918970000173
Determining a minimum pore volume parameter for a carbonate reservoir as
Figure BDA0003116918970000174
And 4, determining a plurality of target rock cores from the plurality of test rock cores by the computer equipment according to the pore parameters and the bound water saturation parameters of the sample rock cores.
S41, determining a second relation between the pore parameters and the bound water saturation parameters by the computer equipment according to the pore parameters and the bound water saturation parameters of the 15 sample coresThe data are as follows:
Figure BDA0003116918970000175
wherein S is w The bound water saturation parameter is expressed as,
Figure BDA0003116918970000176
denotes the pore parameter, 111.58 denotes the third parameter, -1.16 denotes the fourth parameter.
When the computer equipment determines that the bound water saturation parameter is 100%, the minimum pore parameters of the oil-gas layer are as follows:
Figure BDA0003116918970000177
s42, selecting 868 target cores with the pore parameters not less than 1.099% from 1371 test cores of the carbonate reservoir by computer equipment.
And 5, determining 526 effective cores (first target cores) with the pore infiltration parameter not less than 0.037 and 342 ineffective cores (first target cores) with the pore infiltration parameter less than 0.037 from 868 target cores by the computer equipment according to the minimum pore infiltration parameter of 0.037. Among them, the test results of the pore permeability parameters of 868 target cores are shown in table 1 below.
TABLE 1 test results for pore infiltration parameters of target cores
Figure BDA0003116918970000178
Figure BDA0003116918970000181
Figure BDA0003116918970000191
Figure BDA0003116918970000201
Figure BDA0003116918970000211
Figure BDA0003116918970000221
Figure BDA0003116918970000231
Figure BDA0003116918970000241
Figure BDA0003116918970000251
Figure BDA0003116918970000261
And 6, determining the reserve volume of at least one effective core and the reserve volume of at least one invalid core by computer equipment, and determining the porosity lower limit of the carbonate reservoir based on the reserve volume of at least one effective core and the reserve volume of at least one invalid core.
And S61, referring to fig. 3, sequencing the 526 effective cores from small to large according to the pore parameters by the computer equipment according to the first pore parameters of each effective core, and determining a first total reserve curve of the sequenced effective cores, wherein the curve is shown as curve 1 in the figure.
After the 526 effective cores are sorted from small to large according to the pore parameters, the reserve of each effective core and the numerical value of the accumulated first total reserve are determined as shown in the following table 2.
TABLE 2 reserves per available core and cumulative first total reserves
Figure BDA0003116918970000271
Figure BDA0003116918970000281
Figure BDA0003116918970000291
Figure BDA0003116918970000301
Figure BDA0003116918970000311
Figure BDA0003116918970000321
And S62, continuing to refer to FIG. 3, sequencing the 342 invalid cores from large to small according to the pore parameters by the computer equipment according to the second pore parameters of each invalid core, and determining a second total reserve curve of the sequenced invalid cores, wherein the second total reserve curve is shown as a curve 2 in the figure.
After the 342 invalid cores are sorted from large to small according to the pore parameters, the reserve of each invalid core and the accumulated value of the second total reserve are determined as shown in the following table 3.
TABLE 3 reserves per invalid core and cumulative second Total reserves
Figure BDA0003116918970000331
Figure BDA0003116918970000341
Figure BDA0003116918970000351
Figure BDA0003116918970000361
And S63, continuing to refer to FIG. 3, the computer device determines a corresponding target preset parameter when the first total reserve is the same as the second total reserve, namely, the porosity corresponding to the intersection point position of the curve 1 and the curve 2 in the graph, and determines that the porosity is the lower limit of the porosity of the carbonate reservoir.
On one hand, because an effective core with a pore infiltration parameter not less than a minimum pore infiltration parameter and an ineffective core with a pore infiltration parameter less than the minimum pore infiltration parameter are determined from a plurality of cores in an oil and gas layer through the minimum pore infiltration parameter of the oil and gas layer, and the minimum pore infiltration parameter of the oil and gas layer is determined through two dimensions of porosity and permeability of the oil and gas layer, the accuracy of determining the effective core and the ineffective core is improved; on the other hand, in the process of determining the threshold information of the pore parameters of the oil-gas layer through the oil-gas reserves of the effective rock core and the invalid rock core, the contribution and the influence of the oil-gas reserves of the invalid rock core on the oil-gas layer are considered, the porosity corresponding to the situation that the reserves of the effective rock core are the same as the reserves of the invalid rock core is determined as the lower porosity limit, the oil-gas reserves of the invalid rock core included in the effective thickness section and the oil-gas reserves of the effective rock core not included in the effective thickness section can be mutually offset, and the oil-gas reserves of the determined effective thickness section are closer to the true value. Therefore, the effective rock core and the invalid rock core in the oil gas layer can be accurately determined from two dimensions of porosity and permeability, the contribution of the reserves of the effective rock core and the invalid rock core to the oil gas reserves of the oil gas layer can be comprehensively considered, so that the determined threshold information of the pore parameters is closer to the actual lower limit of the porosity of the oil gas layer, and the accuracy of the determined threshold information of the pore parameters is further improved.
Fig. 4 is a block diagram illustrating an apparatus for determining threshold information for a pore parameter according to an exemplary embodiment. Referring to fig. 4, the apparatus includes:
a first determining module 401, configured to determine a plurality of first sample cores, a plurality of second sample cores, and a plurality of test cores in an oil and gas formation to be tested;
a second determining module 402, configured to determine, for each first sample core, a pore parameter, a permeability parameter, and a yield parameter of the first sample core, and, for each second sample core, a pore parameter, a permeability parameter, and a bound water saturation parameter of the second sample core;
a third determining module 403, configured to determine a minimum pore volume parameter of the hydrocarbon reservoir according to the pore parameter, the permeability parameter, and the yield parameter of the first sample core, and determine a plurality of target cores from the plurality of test cores according to the pore parameter and the bound water saturation parameter of the second sample core;
a fourth determining module 404, configured to determine at least one first target core and at least one second target core from the multiple target cores according to the minimum pore infiltration parameter, where the first target core is a target core whose pore infiltration parameter is not less than the minimum pore infiltration parameter, and the second target core is a target core whose pore infiltration parameter is less than the minimum pore infiltration parameter;
a fifth determining module 405, configured to determine a reserve of the at least one first target core and a reserve of the at least one second target core, and determine threshold information of a pore parameter of the hydrocarbon reservoir based on the reserve of the at least one first target core and the reserve of the at least one second target core.
In a possible implementation manner, the third determining module 403 is configured to determine the standard yield of the hydrocarbon reservoir and the pore volume parameter of the first sample core, where the pore volume parameter of any first sample core is a product of the pore parameter and the permeability parameter of the first sample core; determining first relation data according to the yield parameter and the pore infiltration parameter of the first sample core, wherein the first relation data is used for expressing the relation between the yield parameter and the pore infiltration parameter; and determining the minimum pore infiltration parameter of the hydrocarbon reservoir according to the first relation data and the standard yield of the hydrocarbon reservoir.
In another possible implementation manner, the third determining module 403 is configured to input the yield parameter and the pore permeability parameter of the first core into the following formula one, and determine a first parameter and a second parameter in the formula one to obtain first relational data;
the formula I is as follows:
Figure BDA0003116918970000381
wherein q represents a yield parameter,
Figure BDA0003116918970000382
represents a pore volume parameter, a represents a first parameter, and b represents a second parameter.
In another possible implementation manner, the third determining module 403 is configured to determine second relationship data between the pore parameter and the bound water saturation parameter according to the pore parameter and the bound water saturation parameter of the second sample core, where the second relationship data is used to represent a negative correlation relationship between the pore parameter and the bound water saturation parameter; determining the minimum pore parameter of the hydrocarbon reservoir according to the maximum bound water saturation parameter of the hydrocarbon reservoir and the second relation data; determining pore parameters of a plurality of test cores, and determining a plurality of target cores with pore parameters not less than the minimum pore parameters from the plurality of test cores.
In another possible implementation manner, the third determining module 403 is configured to input the pore parameter and the bound water saturation parameter of the second sample core into the following formula two, and determine a third parameter and a fourth parameter in the formula two to obtain second relationship data;
the second formula is as follows:
Figure BDA0003116918970000383
wherein S is w The bound water saturation parameter is expressed as,
Figure BDA0003116918970000384
denotes the pore parameter, c denotes the third parameter, d denotes the fourth parameter.
In another possible implementation manner, the fifth determining module 405 is configured to determine, for each first target core, the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter, and the pore parameter of the first target core, and determine, according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter, and the pore parameter of the first target core, the reserve capacity of the first target core by using the following formula three, to obtain the reserve capacity of the at least one first target core;
the formula III is as follows:
Figure BDA0003116918970000391
and the number of the first and second groups,
for each second target core, determining the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core, and determining the reserve of the second target core according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core by the following formula IV to obtain the reserve of at least one second target core;
the formula four is as follows:
Figure BDA0003116918970000392
wherein, A 1 Representing the hydrocarbon-bearing area, h, of the first target core 1 Effective reservoir thickness, B, representing the first target core 1 A volume factor of the first target core is expressed,
Figure BDA0003116918970000393
a porosity parameter of the first target core is represented,
Figure BDA0003116918970000394
representing the reserve of the first target core, S w1 Represents the bound water saturation parameter, A, of the first target core 2 Representing the hydrocarbon-bearing area of the second target core, h 2 Effective reservoir thickness, B, for the second target core 2 The volume factor of the second target core is expressed,
Figure BDA0003116918970000395
a porosity parameter of a second target core is represented,
Figure BDA0003116918970000396
representing the reserve of the second target core, S w2 The bound water saturation parameter of the second target core is represented.
In another possible implementation manner, the fifth determining module 405 is configured to rank, according to a pore parameter of each first target core, at least one first target core from small to large according to the pore parameter, and determine a first total reserve of the ranked plurality of first target cores, where the first total reserve is a sum of reserves of the plurality of first target cores of which the pore parameter is smaller than a preset parameter; sequencing at least one second target core from large to small according to the pore parameters of each second target core, and determining a second total reserve of the sequenced second target cores, wherein the second total reserve is the sum of the reserves of the second target cores of which the pore parameters are not less than preset parameters; and determining a corresponding target preset parameter when the first total reserve amount is the same as the second total reserve amount, and determining that the target preset parameter is threshold information of the pore parameter of the oil-gas layer.
The embodiment of the application provides a threshold information determining device for pore parameters, on one hand, effective cores with pore infiltration parameters not smaller than minimum pore infiltration parameters and invalid cores with pore infiltration parameters smaller than minimum pore infiltration parameters are determined from a plurality of cores in an oil and gas layer through the minimum pore infiltration parameters of the oil and gas layer, and the minimum pore infiltration parameters of the oil and gas layer are determined through two dimensions of porosity and permeability of the oil and gas layer, so that the accuracy of determining the effective cores and the invalid cores is improved; on the other hand, in the process of determining the threshold information of the pore parameters of the oil-gas layer through the oil-gas reserves of the effective rock core and the invalid rock core, the contribution and the influence of the oil-gas reserves of the invalid rock core on the oil-gas layer are considered, the porosity corresponding to the situation that the reserves of the effective rock core are the same as the reserves of the invalid rock core is determined as the lower porosity limit, the oil-gas reserves of the invalid rock core in the effective thickness section and the oil-gas reserves of the effective rock core not in the effective thickness section can be mutually offset, and the oil-gas reserves of the determined effective thickness section are closer to the true value. Therefore, the effective rock core and the invalid rock core in the oil and gas reservoir can be accurately determined from two dimensions of porosity and permeability, the contribution and the influence of the reserves of the effective rock core and the invalid rock core on the oil and gas reserves of the oil and gas reservoir can be comprehensively considered, so that the determined threshold information of the pore parameters is closer to the actual lower limit of the porosity of the oil and gas reservoir, and the accuracy of the determined threshold information of the pore parameters is further improved.
Fig. 5 shows a block diagram of a computer device 500 according to an exemplary embodiment of the present invention. The computer device 500 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion Picture Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion Picture Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Computer device 500 may also be referred to by other names such as user equipment, portable computer, laptop computer, desktop computer, and the like.
Generally, the computer device 500 includes: a processor 501 and a memory 502.
The processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 501 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 501 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 501 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, processor 501 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.
Memory 502 may include one or more computer-readable storage media, which may be non-transitory. Memory 502 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 502 is used to store at least one instruction for execution by processor 501 to implement the method for threshold information determination of pore parameters provided by the method embodiments herein.
In some embodiments, the computer device 500 may further optionally include: a peripheral interface 503 and at least one peripheral. The processor 501, memory 502 and peripheral interface 503 may be connected by a bus or signal lines. Each peripheral may be connected to the peripheral interface 503 by a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 504, display screen 505, camera 506, audio circuitry 507, positioning components 508, and power supply 509.
The peripheral interface 503 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 501 and the memory 502. In some embodiments, the processor 501, memory 502, and peripheral interface 503 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 501, the memory 502, and the peripheral interface 503 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 504 is used to receive and transmit RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 504 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 504 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 504 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 504 may communicate with other computer devices via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 504 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display screen 505 is used to display a UI (user interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 505 is a touch display screen, the display screen 505 also has the ability to capture touch signals on or over the surface of the display screen 505. The touch signal may be input to the processor 501 as a control signal for processing. At this point, the display screen 505 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 505 may be one, providing the front panel of the computer device 500; in other embodiments, the display screens 505 may be at least two, each disposed on a different surface of the computer device 500 or in a folded design; in still other embodiments, the display screen 505 may be a flexible display screen, disposed on a curved surface or on a folded surface of the computer device 500. Even more, the display screen 505 can be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The Display screen 505 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.
The camera assembly 506 is used to capture images or video. Optionally, camera assembly 506 includes a front camera and a rear camera. Generally, a front camera is disposed on a front panel of a computer apparatus, and a rear camera is disposed on a rear surface of the computer apparatus. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 506 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp and can be used for light compensation under different color temperatures.
Audio circuitry 507 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 501 for processing, or inputting the electric signals to the radio frequency circuit 504 to realize voice communication. For stereo capture or noise reduction purposes, the microphones may be multiple and located at different locations on the computer device 500. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 501 or the radio frequency circuit 504 into sound waves. The loudspeaker can be a traditional film loudspeaker and can also be a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 507 may also include a headphone jack.
The Location component 508 is used to locate the current geographic Location of the computer device 500 for navigation or LBS (Location Based Service). The Positioning component 508 may be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, the grignard System in russia, or the galileo System in the european union.
The power supply 509 is used to power the various components in the computer device 500. The power source 509 may be alternating current, direct current, disposable or rechargeable. When power supply 509 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery can also be used to support fast charge technology.
In some embodiments, the computer device 500 also includes one or more sensors 510. The one or more sensors 510 include, but are not limited to: acceleration sensor 511, gyro sensor 512, pressure sensor 513, fingerprint sensor 514, optical sensor 515, and proximity sensor 516.
The acceleration sensor 511 may detect the magnitude of acceleration in three coordinate axes of a coordinate system established with the computer apparatus 500. For example, the acceleration sensor 511 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 501 may control the display screen 505 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 511. The acceleration sensor 511 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 512 may detect a body direction and a rotation angle of the computer device 500, and the gyro sensor 512 may cooperate with the acceleration sensor 511 to acquire a 3D motion of the user on the computer device 500. The processor 501 may implement the following functions according to the data collected by the gyro sensor 512: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
The pressure sensor 513 may be disposed on a side bezel of the computer device 500 and/or underneath the display screen 505. When the pressure sensor 513 is disposed on the side frame of the computer device 500, the holding signal of the user to the computer device 500 can be detected, and the processor 501 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 513. When the pressure sensor 513 is disposed at the lower layer of the display screen 505, the processor 501 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 505. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.
The fingerprint sensor 514 is used for collecting a fingerprint of the user, and the processor 501 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 514, or the fingerprint sensor 514 identifies the identity of the user according to the collected fingerprint. Upon identifying that the user's identity is a trusted identity, the processor 501 authorizes the user to perform relevant sensitive operations, including unlocking the screen, viewing encrypted information, downloading software, paying, and changing settings, etc. The fingerprint sensor 514 may be provided on the front, back, or side of the computer device 500. When a physical key or vendor Logo is provided on the computer device 500, the fingerprint sensor 514 may be integrated with the physical key or vendor Logo.
The optical sensor 515 is used to collect the ambient light intensity. In one embodiment, the processor 501 may control the display brightness of the display screen 505 based on the ambient light intensity collected by the optical sensor 515. Specifically, when the ambient light intensity is higher, the display brightness of the display screen 505 is increased; when the ambient light intensity is low, the display brightness of the display screen 505 is reduced. In another embodiment, processor 501 may also dynamically adjust the shooting parameters of camera head assembly 506 based on the ambient light intensity collected by optical sensor 515.
A proximity sensor 516, also known as a distance sensor, is typically disposed on the front panel of the computer device 500. The proximity sensor 516 is used to capture the distance between the user and the front of the computer device 500. In one embodiment, the display screen 505 is controlled by the processor 501 to switch from the bright screen state to the dark screen state when the proximity sensor 516 detects that the distance between the user and the front face of the computer device 500 is gradually decreased; the display screen 505 is controlled by the processor 501 to switch from a breath-screen state to a bright-screen state when the proximity sensor 516 detects that the distance between the user and the front of the computer device 500 is gradually increasing.
Those skilled in the art will appreciate that the architecture illustrated in FIG. 5 does not constitute a limitation of computer device 500, and may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components may be employed.
In an exemplary embodiment, a storage medium comprising program code, such as a memory comprising program code, executable by a processor of an apparatus to perform the above method is also provided. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM (Read-Only Memory), a RAM (Random Access Memory), a CD-ROM (Compact Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A method for threshold information determination of a pore parameter, the method comprising:
determining a plurality of first sample cores, a plurality of second sample cores and a plurality of test cores in an oil and gas formation to be tested;
for each first sample core, determining a pore parameter, a permeability parameter, and a yield parameter of the first sample core, and, for each second sample core, determining a pore parameter and a bound water saturation parameter of the second sample core;
determining a minimum pore infiltration parameter of the hydrocarbon reservoir according to the pore parameter, the permeability parameter and the yield parameter of the first sample core, and determining a plurality of target cores from the plurality of test cores according to the pore parameter and the bound water saturation parameter of the second sample core;
determining at least one first target core and at least one second target core from the plurality of target cores according to the minimum pore infiltration parameter, wherein the first target core is a target core with a pore infiltration parameter not less than the minimum pore infiltration parameter, and the second target core is a target core with a pore infiltration parameter less than the minimum pore infiltration parameter;
determining the reserves of the at least one first target core and the at least one second target core, and determining threshold information for pore parameters of the hydrocarbon reservoir based on the reserves of the at least one first target core and the reserves of the at least one second target core.
2. The method of claim 1, wherein determining the minimum pore volume parameter for the hydrocarbon reservoir from the pore parameter, permeability parameter, and production parameter of the first sample core comprises:
determining the standard yield of the oil-gas layer and the pore infiltration parameter of the first sample core, wherein the pore infiltration parameter of any first sample core is the product of the pore parameter and the infiltration parameter of the first sample core;
determining first relation data according to the yield parameter and the pore infiltration parameter of the first sample core, wherein the first relation data is used for expressing the relation between the yield parameter and the pore infiltration parameter;
and determining the minimum pore volume parameter of the hydrocarbon reservoir according to the first relation data and the standard yield of the hydrocarbon reservoir.
3. The method according to claim 2, wherein determining first relational data from the yield parameter and the pore volume parameter of the first sample core comprises:
inputting the yield parameter and the pore infiltration parameter of the first sample core into a first formula, and determining a first parameter and a second parameter in the first formula to obtain first relational data;
the formula I is as follows:
Figure FDA0003116918960000021
wherein q represents the yield parameter,
Figure FDA0003116918960000022
represents the pore volume parameter, a represents the first parameter, and b represents the second parameter.
4. The method of claim 1, wherein determining a plurality of target cores from the plurality of test cores as a function of a porosity parameter and a bound water saturation parameter of the second sample core comprises:
determining second relation data between the pore parameter and the bound water saturation parameter according to the pore parameter and the bound water saturation parameter of the second sample core, wherein the second relation data is used for representing a negative correlation relation between the pore parameter and the bound water saturation parameter;
determining the minimum pore parameter of the hydrocarbon reservoir according to the maximum bound water saturation parameter of the hydrocarbon reservoir and the second relation data;
determining pore parameters of the plurality of test cores, and determining a plurality of target cores with pore parameters not smaller than the minimum pore parameters from the plurality of test cores.
5. The method of claim 4, wherein the determining second relationship data between the pore parameter and the tethered water saturation parameter from the pore parameter and the tethered water saturation parameter of the second sample core comprises:
inputting the pore parameters and the bound water saturation parameters of the second sample core into a second formula, and determining third parameters and fourth parameters in the second formula to obtain second relation data;
the second formula is as follows:
Figure FDA0003116918960000023
wherein S is w Represents the bound water saturation parameter of the water-containing gas,
Figure FDA0003116918960000024
represents the pore parameter, c represents the third parameter, and d represents the fourth parameter.
6. The method according to claim 1, wherein the determining the reserve of the at least one first target core and the reserve of the at least one second target core comprises:
for each first target core, determining the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the first target core, and determining the reserve of the first target core according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the first target core by using a third formula to obtain the reserve of at least one first target core;
the formula III is as follows:
Figure FDA0003116918960000031
and (c) a second step of,
for each second target core, determining the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core, and determining the reserve of the second target core according to the oil-gas area, the effective reservoir thickness, the volume coefficient, the bound water saturation parameter and the pore parameter of the second target core by the following formula IV to obtain the reserve of at least one second target core;
the formula IV is as follows:
Figure FDA0003116918960000032
wherein A is 1 Representing the hydrocarbon-bearing area, h, of the first target core 1 Representing an effective reservoir thickness of the first target core, B 1 Representing a volume coefficient of the first target core,
Figure FDA0003116918960000033
a pore parameter indicative of the first target core,
Figure FDA0003116918960000034
representing the reserve of the first target core, S w1 Representing bound water saturation parameter, A, of the first target core 2 Representing the hydrocarbon-bearing area of the second target core, h 2 Representing the effective reservoir thickness of the second target core, B 2 Representing a volume factor of the second target core,
Figure FDA0003116918960000035
a pore parameter representative of the second target core,
Figure FDA0003116918960000036
representing the reserve of the second target core, S w2 Representing a bound water saturation parameter of the second target core.
7. The method of claim 1, wherein determining threshold information for pore parameters of the hydrocarbon reservoir based on the reserve of the at least one first target core and the reserve of the at least one second target core comprises:
sequencing the at least one first target core from small to large according to the pore parameter of each first target core, and determining a first total reserve of the sequenced plurality of first target cores, wherein the first total reserve is the sum of the reserves of the plurality of first target cores of which the pore parameter is smaller than a preset parameter;
sequencing the at least one second target core from large to small according to the pore parameter of each second target core, and determining a second total reserve of the sequenced second target cores, wherein the second total reserve is the sum of the reserves of the second target cores of which the pore parameter is not less than the preset parameter;
and determining corresponding target preset parameters when the first total reserve volume is the same as the second total reserve volume, and determining the target preset parameters as threshold information of pore parameters of the oil-gas reservoir.
8. An apparatus for determining threshold information for a parameter of a hole, the apparatus comprising:
the first determining module is used for determining a plurality of first sample cores, a plurality of second sample cores and a plurality of testing cores in an oil and gas formation to be tested;
the second determination module is used for determining the pore parameter, the permeability parameter and the yield parameter of each first sample core, and determining the pore parameter and the bound water saturation parameter of each second sample core;
the third determining module is used for determining the minimum pore infiltration parameter of the oil-gas layer according to the pore parameter, the infiltration parameter and the yield parameter of the first sample core, and determining a plurality of target cores from the plurality of test cores according to the pore parameter and the bound water saturation parameter of the second sample core;
a fourth determining module, configured to determine at least one first target core and at least one second target core from the multiple target cores according to the minimum pore infiltration parameter, where the first target core is a target core whose pore infiltration parameter is not smaller than the minimum pore infiltration parameter, and the second target core is a target core whose pore infiltration parameter is smaller than the minimum pore infiltration parameter;
and the fifth determining module is used for determining the reserve of the at least one first target core and the reserve of the at least one second target core, and determining the threshold information of the pore parameters of the hydrocarbon reservoir based on the reserve of the at least one first target core and the reserve of the at least one second target core.
9. A computer device, characterized in that the computer device comprises:
a processor and a memory, the memory having stored therein at least one program code, the at least one program code loaded and executed by the processor to perform operations performed in the method for determining threshold information for a pore parameter of any of claims 1 to 7.
10. A computer-readable storage medium, having stored therein at least one program code, the at least one program code being loaded into and executed by a processor to perform operations performed in a method for threshold information determination of a pore parameter as claimed in any one of claims 1 to 7.
CN202110664926.0A 2021-06-16 2021-06-16 Method, device and equipment for determining threshold information of pore parameters and storage medium Pending CN115478836A (en)

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