CN117388945A - Identification method for fracture-body oil reservoir type - Google Patents
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Abstract
The invention provides a method and a device for identifying a fracture reservoir type, a computer readable storage medium and electronic equipment. The method includes determining a lithology type of the reservoir of the investigation region and a reservoir type of the reservoir; analyzing reservoir porosity of the study area; acquiring a conventional logging curve of a research area, and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying the reservoir type of the research area based on the conventional logging curve; establishing identification standards of different types of reservoirs based on the porosities of the different types of reservoirs, the overlapping amplitude differences of the sensitive logging curves and the values of the sensitive logging response characteristics; and identifying and dividing the reservoir types in the research area by using the identification standards of different types of reservoirs. The reservoir type identification standard established by the invention can accurately and intuitively identify different types of reservoirs, and can greatly improve the accuracy of reservoir identification of a fracture reservoir by a logging technology, thereby guiding the exploration and development work of an oil field.
Description
Technical Field
The invention relates to the technical field of oil and gas exploration logging, in particular to a method and a device for identifying fracture-body oil reservoir type of tight sandstone, a computer readable storage medium and electronic equipment.
Background
The use of natural gamma or natural potential logging is a common means of identifying reservoirs using logging techniques. For a conventional oil reservoir with simple lithology, the reservoir layer shows low natural gamma value and natural potential negative abnormality on logging response, and the identification effect is good. However, for tight sandstone fracture-reservoir with cracks and holes, three types of reservoirs of pores, cracks-pores and cracks-holes exist, and only natural gamma or natural potential curves are utilized, so that the three types of reservoir of fracture-reservoir cannot be effectively distinguished, the defects of easiness in misjudgment and low recognition accuracy are overcome, and the recognition accuracy cannot achieve satisfactory effects.
The development of a fracture-body oil reservoir in a certain area of the Chinese Erdos basin is firstly poor in mudstone reservoir property, a reservoir layer is not developed, and only sandstone has the condition of developing an effective reservoir layer; secondly, the fracture-body oil reservoir is controlled by a sliding fault, and is divided into three reservoir types of pore type, crack-pore type and crack-pore type according to the stratum breaking degree, wherein the more the cracks and the pores develop, the greater the porosity of the reservoir; thirdly, through the data calibration of rock cores, drilling wells, leakage and the like, logging response characteristics of different types of reservoirs are different, but logging sensitivity curves, identification methods and identification standards are not clear. Therefore, the identification flow of the fracture reservoir type comprises four parts of lithology identification, porosity calculation, logging sensitivity curve optimization and reservoir identification method. Most of the existing technical methods only depend on a single logging curve to consider the problem of reservoir type identification, and are high in difficulty and low in precision. Based on three aspects of lithology recognition, porosity calculation and logging response, a sensitivity curve and a recognition method are optimized, a set of logging standard suitable for fracture reservoir recognition is established, and the problems of oil reservoir exploration and development are always solved.
Disclosure of Invention
In view of the above problems, embodiments of the present invention provide a method, an apparatus, a computer-readable storage medium, and an electronic device for identifying a fracture reservoir type.
In a first aspect, an embodiment of the present invention provides a method for identifying a fracture-body reservoir type, including:
s100, determining the lithology type of an oil reservoir in a research area and the reservoir type of the oil reservoir; wherein the reservoir types include at least one of a pore type, a fracture-pore type, and a fracture-pore type;
s200, analyzing the reservoir porosity of the research area;
s300, acquiring a conventional logging curve of a research area, and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying the reservoir type of the research area based on the conventional logging curve;
s400, establishing identification standards of different types of reservoirs based on the porosities of the different types of reservoirs, the overlapping amplitude differences of the sensitive logging curves and the values of the sensitive logging response characteristics;
s500, identifying and dividing reservoir types in a research area by using identification standards of different types of reservoirs.
According to an embodiment of the present invention, the step S100 includes:
based on the core observation and the sheet analysis results, the lithology type of the oil reservoir in the research area is determined by using a natural gamma logging curve.
According to an embodiment of the present invention, the determining lithology type of the oil reservoir in the research area by using the natural gamma logging curve includes:
when the natural gamma GR value is smaller than a preset first threshold value and the argillaceous content SH value is smaller than a preset second threshold value, determining that the logging lithology of the research area is sandstone;
and when the natural gamma GR value is larger than a preset first threshold value and the argillaceous content SH value is larger than a preset second threshold value, determining that the logging lithology of the research area is argillaceous.
According to an embodiment of the present invention, the step S100 includes:
and judging the development degree of cracks and holes of the research area according to the drilling time change, the well leakage size, the groove surface rising condition and the calibration of imaging logging data of the well drilling of the research area, and determining the reservoir type of the oil reservoir of the research area.
According to an embodiment of the present invention, the step S200 includes:
and acquiring an acoustic time difference logging curve of the research area, and calculating the porosity of the reservoir by using the acoustic time difference logging curve.
According to an embodiment of the present invention, the step S300 includes:
acquiring a natural gamma logging curve, an eight-lateral resistivity logging curve and a sonic time difference logging curve of a reservoir;
and determining that the sensitive logging curve is an eight-lateral resistivity logging curve and a sound wave time difference logging curve by manufacturing an eight-lateral resistivity-sound wave time difference intersection plate and a natural gamma-sound wave time difference intersection plate, and determining that the sensitive logging response characteristic is a natural gamma logging response characteristic, an eight-lateral resistivity logging response characteristic and a sound wave time difference logging response characteristic.
According to an embodiment of the present invention, the step S400 includes:
overlapping the eight-side resistivity logging curve and the acoustic time difference logging curve under a specified scale, and establishing identification standards of different types of reservoirs according to the overlapping amplitude difference and the porosity of the eight-side resistivity logging curve and the acoustic time difference logging curve of the different types of reservoirs and the values of natural gamma, eight-side resistivity and acoustic time difference.
In a second aspect, the present invention also provides an apparatus, comprising:
the type determining module is used for determining the lithology type of the oil deposit in the research area and the reservoir type of the oil deposit; wherein the reservoir types include at least one of a pore type, a fracture-pore type, and a fracture-pore type;
the pore analysis module is used for analyzing the porosity of the reservoir in the research area;
the parameter selection module is used for acquiring a conventional logging curve of the research area and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying the reservoir type of the research area based on the conventional logging curve;
the standard establishing module is used for establishing identification standards of different types of reservoirs based on the porosity of the different types of reservoirs, the overlapping amplitude difference of the sensitive logging curves and the value of the sensitive logging response characteristic;
and the identification and division module is used for identifying and dividing the reservoir types in the research area by utilizing the identification standards of different types of reservoirs.
In a third aspect, an embodiment of the present invention provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements a method for identifying a fracture reservoir type as described in the first aspect.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement a method of identifying a fracture reservoir type as described in the first aspect.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the embodiment of the invention establishes a set of identification standards suitable for different types of reservoirs of fracture-body tight sandstone reservoirs based on three aspects of lithology identification, porosity calculation and logging response, and avoids the defects of easy misjudgment and low accuracy of identification results existing in the process of identifying the types of the reservoirs of fracture-body reservoirs by only using a small number of logging curves in the prior art. According to the invention, the lithology, physical properties, cracks and other influencing factors which influence the fracture reservoir type identification are fully considered, and the accuracy of the logging technology in the identification of different types of reservoirs of fracture reservoirs is greatly improved. The method has wide application range in field practice, has strong operability for identifying the oil and gas reservoirs with different lithologies such as sandstone, limestone and the like and the reservoir types with different well types such as a vertical well, a horizontal well and the like, and greatly improves the guiding effect on the exploration and development of the oil and gas field.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a workflow diagram of a method for identifying a fracture reservoir type according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a fracture reservoir RT-AC reservoir type identification chart for use in a location in accordance with a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a pattern recognition of a GR-AC reservoir type for a fractured reservoir in accordance with a second embodiment of the present invention;
FIG. 4 is a graph showing the identification effect of different types of reservoirs of a fractured reservoir applied to a certain area according to the second embodiment of the present invention;
fig. 5 is a schematic diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the method for identifying a fracture-body reservoir type according to the first embodiment of the present invention mainly includes the following steps.
1. Determining lithology type of fracture reservoir development
According to the core observation and the sheet analysis results, determining that the lithology of the fracture body sandstone reservoir mainly comprises sandstone and mudstone, wherein the mudstone does not have the capability of storing oil and gas, is a non-reservoir, and the effective reservoir is developed in the sandstone. The mudstone has high gamma logging response characteristic due to the existence of radioactive minerals, the sandstone does not contain radioactive minerals, has relatively low gamma logging response characteristic, is calibrated according to core observation and sheet identification data, and is divided into sandstone and mudstone by utilizing a natural gamma curve.
2. Determining reservoir type of fractured reservoir
Judging the development degree of cracks and holes according to the drilling time change, the well leakage size, the groove surface rising condition and the imaging logging information of the well drilling, and determining the fracture reservoir with three reservoir types, namely pore type, crack-pore type and crack-hole type.
3. Calculating a reservoir porosity curve
The acoustic moveout curve is less affected by borehole collapse, and is converted into a formation porosity curve phi by using the acoustic moveout logging curve through the following formula s ：
Wherein:
φ s : acoustic porosity,%;
Δt: the target layer acoustic time difference logging value is expressed in units of mu s/ft;
Δt mac : stratum layerThe difference value of the acoustic wave time of the rock skeleton is expressed in units of mu s/ft;
Δt f : the acoustic time difference in formation fluid, in units of μs/ft.
4. Determining a sensitive log identifying a reservoir type
Reading conventional logging curve values such as natural gamma, eight-side resistivity, acoustic time difference and the like of typical pore type, fracture-pore type and fracture-pore type reservoirs, manufacturing a resistivity-acoustic time difference, natural gamma-acoustic time difference intersection plate, determining eight-side resistivity and acoustic time difference curves as sensitive curves for fracture reservoir type identification, and determining eight-side resistivity, acoustic time difference and natural gamma logging response characteristics of three types of pore type, fracture-pore type and fracture-pore type reservoirs.
5. Identification method and criteria for determining different types of reservoirs
Aiming at the defects that a resistivity-acoustic wave time difference and natural gamma-acoustic wave time difference intersection plate cannot completely distinguish a fracture-pore type reservoir layer and a fracture-pore type reservoir layer, eight lateral and acoustic wave curves are overlapped under a certain scale, and according to the eight lateral resistivity and acoustic wave time difference overlapping amplitude differences and the porosity of different types of reservoir layers, the identification standards of three types of reservoir layers, namely pore type, fracture-pore type and fracture-pore type, are established, and reservoir type identification and division are carried out on a research area.
Based on three aspects of lithology recognition, porosity calculation and logging response, a sensitivity curve and a recognition method are optimized, and a set of logging standards suitable for fracture oil reservoir type recognition are established. Firstly, determining the lithology type of sandstone as a development reservoir, calibrating according to core observation and sheet identification data, and dividing sandstone and mudstone by using a natural gamma curve; determining three reservoir types of fracture oil reservoirs, namely pore type, crack-pore type and crack-pore type according to drilling time change, well leakage size, groove surface rising condition and imaging logging data calibration of a well; making a resistivity-acoustic wave time difference and natural gamma-acoustic wave time difference intersection plate, determining that an eight-lateral resistivity and acoustic wave time difference curve is a sensitive curve for fracture reservoir type identification, and determining logging response characteristics of three types of reservoirs; the acoustic time difference curve is less influenced by borehole collapse, and the porosity of three reservoir types, namely, a pore type, a crack-pore type and a crack-pore type is calculated by using the acoustic time difference logging curve; overlapping eight-side direction and acoustic wave curves under a certain scale, and establishing three reservoir identification standards of pore type, crack-pore type and crack-hole type according to the eight-side direction resistivity and acoustic wave time difference overlapping amplitude difference, the porosity and logging response characteristics of different types of reservoirs, so as to identify and divide the reservoir types of the research area. The method and the device avoid the defects of easy misjudgment and low recognition accuracy existing in the process of recognizing the reservoir type of the fractured reservoir by only a small amount of logging curves, and the established reservoir type recognition standard can accurately and intuitively recognize different types of reservoirs such as pore type, crack-hole type and the like, and can greatly improve the recognition accuracy of logging technology in the fractured reservoir, thereby guiding the exploration and development work of an oil field.
Example two
The present invention is further described with respect to a certain sand group JH-X well as shown in FIGS. 2-4:
1. determining lithology type of fracture reservoir development
According to the core observation and the sheet analysis results, determining that the lithology of the fracture body sandstone reservoir mainly comprises sandstone and shale, wherein the shale has no oil and gas storage capacity, is a non-reservoir, and the effective reservoirs are all developed in the sandstone. The mudstone has high gamma logging response characteristic due to the existence of radioactive minerals, the sandstone does not contain radioactive minerals, has relatively low gamma logging response characteristic, is calibrated according to core observation and sheet identification data, and is divided into sandstone and mudstone by utilizing a natural gamma curve.
The natural gamma curve is utilized to divide sandstone and shale, which belongs to the basic principle and the conventional method of logging, and the specific method is not described in the patent. Based on the characteristic of different lithology logging response of a sand layer group in a research area of the Erdos basin, the logging identification standards of sandstone and mudstone are determined.
The sandstone and mudstone logging judgment basis is as follows:
when the natural gamma GR value is less than 100API, the argillaceous content SH value is less than 30%, and the logging lithology is identified as sandstone;
at natural gamma GR values greater than 100API, the shale content SH values greater than 30%, the logging lithology is identified as mudstone.
2. Determining reservoir type of fractured reservoir
And judging the development degree of cracks and holes according to the well drilling time change, well leakage size, groove surface rising condition and calibration of 2 imaging logging data of a 25-hole horizontal well in a sand layer group in a research area of the Erdos basin, and determining that a fractured reservoir has three reservoir types, namely a pore type, a crack-pore type and a crack-hole type.
The pore type, crack-pore type and crack-pore type are determined according to the following steps:
pore-type reservoir: the drilling time is unchanged, no lost circulation and groove surface rising change are caused, and no crack and hole development is seen in an imaging logging image;
fracture-pore reservoirs: when drilling, well leakage is reduced, the slurry leakage amount is less than 20 square, the groove surface slightly rises, the imaging logging image shows that cracks develop, and no holes are formed;
fracture-pore reservoirs: the drilling time variation is more than 20min/m, part of the wells are emptied, the slurry leakage is more than 20 square, or the loss-returning leakage occurs, the overflow is common, the rising of the groove surface is obvious, and the imaging logging image shows dense development of cracks and holes.
3. Calculating a reservoir porosity curve
The acoustic moveout curve is less affected by borehole collapse, and is converted into a formation porosity curve phi by using the acoustic moveout logging curve through the following formula s ：
Wherein:
φ s : acoustic porosity,%;
Δt: the target layer acoustic time difference logging value is expressed in units of mu s/ft;
Δt mac : stratum layerThe difference value of the acoustic wave time of the rock skeleton is expressed in units of mu s/ft;
Δt f : the acoustic time difference in formation fluid, in units of μs/ft.
Taking a sand layer group of a research area of an Erdos basin as an example, the acoustic wave time difference delta t of a stratum rock framework mac The value is 182 mu s/m, and the acoustic wave time difference delta t of the stratum fluid is equal to that of the stratum fluid f The value of 620 mu s/m is substituted into the above formula to convert the acoustic wave time difference curve delta t of the long 8 stratum into an acoustic wave porosity curve phi s 。
4. Determining a sensitive log identifying a reservoir type
Reading the natural gamma, eight-side resistivity, acoustic time difference and other conventional logging curve values of 49 typical pore types, fracture-pore types and fracture-pore type reservoirs of a sand layer group 25 horizontal wells in a research area of an Erdos basin, manufacturing a resistivity-acoustic time difference, natural gamma-acoustic time difference intersection chart (see fig. 2 and 3), determining that the eight-side resistivity and acoustic time difference curve is a sensitive curve for fracture reservoir type identification, and determining eight-side resistivity, acoustic time difference and natural gamma logging response characteristics of three types of reservoirs of pore types, fracture-pore types and fracture-pore types.
The pore type, crack-pore type and crack-hole type logging response characteristics are as follows:
pore-type reservoir: natural gamma GR values less than 100API, eight lateral resistivities greater than 50ohm m; the acoustic wave time difference AC value is more than 200 mu s/m and less than 240 mu s/m;
fracture-pore reservoirs: natural gamma GR values less than 100API, eight lateral resistivities greater than 30ohm m, less than 50ohm m; the acoustic wave time difference AC value is more than 235 mu s/m and less than 280 mu s/m;
fracture-pore reservoirs: natural gamma GR values less than 100API, eight lateral resistivities less than 40ohm m; the acoustic wave time difference AC value is greater than 250 mus/m.
From the above-described different types of reservoir logging response characterization, the range values can better distinguish pore-type reservoirs, but the fracture-pore-type reservoir and fracture-pore-type reservoir have some overlap in sonic time differences and eight-lateral resistivity thresholds (see the shaded portion of fig. 2), and cannot completely distinguish between the two types of reservoirs.
5. Identification method and criteria for determining different types of reservoirs
Aiming at the defects that a resistivity-acoustic wave time difference and natural gamma-acoustic wave time difference intersection plate cannot completely distinguish a fracture-pore type reservoir layer and a fracture-pore type reservoir layer, eight lateral and acoustic wave curves are overlapped under a certain scale, and according to the eight lateral resistivity and acoustic wave time difference overlapping amplitude differences and the porosity of different types of reservoir layers, the identification standards of three types of reservoir layers, namely pore type, fracture-pore type and fracture-pore type, are established, and reservoir type identification and division are carried out on a research area.
The method for identifying the reservoir type by overlapping the eight-side resistivity and the acoustic time difference curve is as follows:
1) Selecting a pore type reservoir layer with the view thickness of a horizontal section being larger than 50m, overlapping eight-lateral resistivity and acoustic wave time difference curves, and adopting the scale method and the range as follows:
the eight-lateral resistivity curve adopts a logarithmic scale, the left scale is 200ohm m, and the right scale is 10ohm m; the acoustic time difference curve adopts linear scale, and the basic scale value is: the left scale is 250 mu s/m, and the right scale is 150 mu s/m; .
2) If the scale is adopted, the eight-side resistivity and the acoustic wave time difference curve are not completely overlapped, the eight-side resistivity curve is fixed, the left scale value and the right scale value of the acoustic wave time difference curve are dynamically adjusted, and the adjustment method comprises the following steps: the sonic moveout left and right scales are increased 5 mus/m each time synchronously, but the difference between the left and right scales remains 100 mus/m unchanged until the eight-lateral resistivity and sonic moveout curves overlap at the selected porosity reservoirs.
3) After the eight-side resistivity and the acoustic wave time difference curve are overlapped, comprehensively identifying different types of reservoirs of the fracture oil reservoir according to the logging response value and the amplitude difference of the eight-side resistivity and the acoustic wave time difference curve:
pore-type reservoir: the eight-side resistivity and the acoustic wave time difference curve are basically overlapped, and no amplitude difference exists; average porosity less than 7%; meanwhile, the natural gamma GR value is smaller than 100API, and the eight-lateral resistivity is larger than 50ohm m; the acoustic wave time difference AC value is greater than 200 mu s/m and less than 240 mu s/m.
Fracture-pore reservoirs: the eight-side resistivity and acoustic wave time difference curve generate a medium amplitude difference; average porosity is greater than 7% and less than 10%; meanwhile, the natural gamma GR value is smaller than 100API, the eight-lateral resistivity is larger than 30ohm m and smaller than 50ohm m; the acoustic wave time difference AC value is more than 235 mu s/m and less than 280 mu s/m;
fracture-pore reservoirs: the eight-side resistivity and the acoustic wave time difference curve generate larger amplitude difference; average porosity greater than 10%; meanwhile, the natural gamma GR value is less than 100API, and the eight-lateral resistivity is less than 40ohm m; the acoustic wave time difference AC value is greater than 250 mus/m.
If the eight-side resistivity and acoustic wave moveout curves have a large amplitude difference, but the natural gamma is greater than 100API, the argillaceous content SH value is greater than 30%, and the layer is identified as mudstone and is a non-reservoir layer.
And selecting a different type of reservoir identification effect diagram of a fracture oil reservoir of a certain research area of the Erdos basin shown in fig. 4 to explain the identification result. 1900-2420 m is a fracture-body oil reservoir horizontal well section with a reservoir type to be identified, a sixth channel in fig. 4 is an AC-LL8 curve overlapping channel, and a seventh channel is a reservoir type identification conclusion.
The lithology of the 16 th layer is sandstone with the thickness of 120m, the logging response is characterized by a porosity reservoir, the average porosity is 6.5 percent, cracks do not develop, and the 16 th layer is selected as an AC-LL8 curve overlapping layer. The lithology, the reservoir porosity and the curve overlap amplitude difference are synthesized, and the reservoir type is divided as follows:
11. the sandstone is identified by the lithology of the No. 14 layer, the AC-LL8 curve is overlapped with a larger amplitude difference, the average value of the porosities is calculated to be 13.3 percent and 11 percent respectively, and the reservoir is judged to be a fracture-hole reservoir;
10. 12, 15 and 19, the AC-LL8 curves are overlapped with medium amplitude difference, and the average values of the porosities are calculated to be 7.8%, 8.7%, 9.7% and 7.6%, respectively, and are all judged to be crack-pore type reservoirs;
13. 17 layers of rock are identified, the AC-LL8 curves are overlapped almost without amplitude difference, the average value of the porosities is calculated to be 5.6 percent and 6.4 percent, and the porosity is judged to be a porous reservoir;
the 18 layers of lithology are mudstones and are non-reservoirs.
The results of the identification of the different types of reservoirs of the fracture are consistent with the results of core observation and imaging logging, the feasibility and the effectiveness of the identification method are fully illustrated, and technical basis is provided for the exploration and development work of the oil and gas reservoirs.
Example III
The following are examples of the apparatus of the present invention that may be used to perform the method embodiments of the present invention. For details not disclosed in the embodiments of the apparatus of the present invention, please refer to the embodiments of the method of the present invention.
The embodiment provides a recognition device of fracture body oil reservoir type, which is characterized by comprising:
the type determining module is used for determining the lithology type of the oil deposit in the research area and the reservoir type of the oil deposit; wherein the reservoir types include at least one of a pore type, a fracture-pore type, and a fracture-pore type;
the pore analysis module is used for analyzing the porosity of the reservoir in the research area;
the parameter selection module is used for acquiring a conventional logging curve of the research area and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying the reservoir type of the research area based on the conventional logging curve;
the standard establishing module is used for establishing identification standards of different types of reservoirs based on the porosity of the different types of reservoirs, the overlapping amplitude difference of the sensitive logging curves and the value of the sensitive logging response characteristic;
and the identification and division module is used for identifying and dividing the reservoir types in the research area by utilizing the identification standards of different types of reservoirs.
Example IV
The present embodiment provides a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the steps of a method for identifying a fracture reservoir type as described in the above embodiments.
It should be noted that, all or part of the flow of the method of the above embodiment may be implemented by a computer program, which may be stored in a computer readable storage medium and which, when executed by a processor, implements the steps of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. Of course, there are other ways of readable storage medium, such as quantum memory, graphene memory, etc. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
Example five
Fig. 5 is a schematic structural view of an electronic device according to an embodiment of the present invention. As shown in fig. 5, at the hardware level, the electronic device comprises a processor, optionally together with an internal bus, a network interface, a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (PeripheralComponent Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry StandardArchitecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, the figures are shown with only line segments, but not with only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs. The processor executes the program stored in the memory to perform all the steps in the method for identifying the fracture reservoir type.
The communication bus mentioned by the above devices may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus. The communication interface is used for communication between the electronic device and other devices.
The bus includes hardware, software, or both for coupling the above components to each other. For example, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. The bus may include one or more buses, where appropriate. Although embodiments of the invention have been described and illustrated with respect to a particular bus, the invention contemplates any suitable bus or interconnect.
The Memory may include random access Memory (Random Access Memory, RAM) or may include Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The memory may include mass storage for data or instructions. By way of example, and not limitation, the memory may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. The memory may include removable or non-removable (or fixed) media, where appropriate. In a particular embodiment, the memory is a non-volatile solid state memory. In a particular embodiment, the memory includes Read Only Memory (ROM). The ROM may be mask programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these, where appropriate.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
It should be noted that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the functions described above. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The apparatus, device, system, module or unit described in the above embodiments may be implemented in particular by a computer chip or entity or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a car-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Although the invention provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in an actual device or end product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment) as illustrated by the embodiments or by the figures.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in this document relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In this specification, each embodiment is described in a related manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, electronic devices, and readable storage medium embodiments, since they are substantially similar to method embodiments, the description is relatively simple, and references to parts of the description of method embodiments are only required.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.
Claims (10)
1. The identification method of the fracture-body oil reservoir type is characterized by comprising the following steps of:
s100, determining the lithology type of an oil reservoir in a research area and the reservoir type of the oil reservoir; wherein the reservoir types include at least one of a pore type, a fracture-pore type, and a fracture-pore type;
s200, analyzing the reservoir porosity of the research area;
s300, acquiring a conventional logging curve of a research area, and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying the reservoir type of the research area based on the conventional logging curve;
s400, establishing identification standards of different types of reservoirs based on the porosities of the different types of reservoirs, the overlapping amplitude differences of the sensitive logging curves and the values of the sensitive logging response characteristics;
s500, identifying and dividing reservoir types in a research area by using identification standards of different types of reservoirs.
2. The method for identifying a fracture-reservoir type according to claim 1, wherein the step S100 comprises:
based on the core observation and the sheet analysis results, the lithology type of the oil reservoir in the research area is determined by using a natural gamma logging curve.
3. The method of claim 2, wherein determining the lithology type of the reservoir in the investigation region using the natural gamma log comprises:
when the natural gamma GR value is smaller than a preset first threshold value and the argillaceous content SH value is smaller than a preset second threshold value, determining that the logging lithology of the research area is sandstone;
and when the natural gamma GR value is larger than a preset first threshold value and the argillaceous content SH value is larger than a preset second threshold value, determining that the logging lithology of the research area is argillaceous.
4. The method for identifying a fracture-reservoir type according to claim 1, wherein the step S100 comprises:
and judging the development degree of cracks and holes of the research area according to the drilling time change, the well leakage size, the groove surface rising condition and the calibration of imaging logging data of the well drilling of the research area, and determining the reservoir type of the oil reservoir of the research area.
5. The method for identifying a fracture-reservoir type according to claim 1, wherein the step S200 comprises:
and acquiring an acoustic time difference logging curve of the research area, and calculating the porosity of the reservoir by using the acoustic time difference logging curve.
6. The method for identifying a fracture-reservoir type of claim 1, wherein step S300 comprises:
acquiring a natural gamma logging curve, an eight-lateral resistivity logging curve and a sonic time difference logging curve of a reservoir;
and determining that the sensitive logging curve is an eight-lateral resistivity logging curve and a sound wave time difference logging curve by manufacturing an eight-lateral resistivity-sound wave time difference intersection plate and a natural gamma-sound wave time difference intersection plate, and determining that the sensitive logging response characteristic is a natural gamma logging response characteristic, an eight-lateral resistivity logging response characteristic and a sound wave time difference logging response characteristic.
7. The method for identifying a fracture-reservoir type of claim 6, wherein step S400 comprises:
overlapping the eight-side resistivity logging curve and the acoustic time difference logging curve under a specified scale, and establishing identification standards of different types of reservoirs according to the overlapping amplitude difference and the porosity of the eight-side resistivity logging curve and the acoustic time difference logging curve of the different types of reservoirs and the values of natural gamma, eight-side resistivity and acoustic time difference.
8. A fracture-reservoir type identification device, comprising:
the type determining module is used for determining the lithology type of the oil deposit in the research area and the reservoir type of the oil deposit; wherein the reservoir types include at least one of a pore type, a fracture-pore type, and a fracture-pore type;
the pore analysis module is used for analyzing the porosity of the reservoir in the research area;
the parameter selection module is used for acquiring a conventional logging curve of the research area and determining a sensitive logging curve and a sensitive logging response characteristic which can be used for identifying the reservoir type of the research area based on the conventional logging curve;
the standard establishing module is used for establishing identification standards of different types of reservoirs based on the porosity of the different types of reservoirs, the overlapping amplitude difference of the sensitive logging curves and the value of the sensitive logging response characteristic;
and the identification and division module is used for identifying and dividing the reservoir types in the research area by utilizing the identification standards of different types of reservoirs.
9. A computer readable storage medium, having stored thereon a computer program which, when executed by a processor, implements a method of identifying a fracture reservoir type as claimed in any one of claims 1 to 7.
10. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement a method of identifying a fracture reservoir type as claimed in any one of claims 1 to 7.
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