CN106285661A - Low-resistance oil layer identification method and device based on judgment index - Google Patents
Low-resistance oil layer identification method and device based on judgment index Download PDFInfo
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Abstract
The application provides a low-resistance oil layer identification method and device based on a judgment index. The method includes defining a low resistivity reservoir of the target exploration area; acquiring data information of a target exploration area, and finding out a verified low-resistance oil layer; analyzing and processing the cause of the low-resistance oil layer, determining a low-resistance oil layer identification method suitable for the target exploration area, solving an empirical judgment index corresponding to the low-resistance oil layer identification method, and obtaining the distribution range of the empirical judgment index; searching a suspicious low-resistance oil layer in the target exploration area, and calculating to obtain a target judgment index of the suspicious low-resistance oil layer; and determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range. By utilizing the method and the device, various oil layer identification methods can be comprehensively considered, uncertainty and judgment pair probability in the judgment process can be quantitatively reflected, subjective influence of manual identification is reduced, and the identification accuracy is improved.
Description
Technical Field
The application belongs to the field of reservoir logging evaluation in exploration and development of clastic rock oil and gas reservoirs, and particularly relates to a low-resistance oil layer identification method and device based on a judgment index.
Background
Compared with a normal oil-gas layer, the low-resistivity oil-gas layer has lower resistivity and can be even lower than a water layer, the identification difficulty is higher, the accuracy is usually not high, oil layer omission and water layer supplement are frequently caused in oil well production increasing measures based on the low-resistivity oil-gas layer, great obstruction is caused to later measures, and the reserve foundation and the technical requirements of layer series succession are difficult to meet. With the continuous development of oil and gas, most oil fields in China enter the middle and later development stages, and unrecognized low-resistance oil layers are increasingly important as residual potential.
At present, the research on the low-resistance oil layer identification method at home and abroad is mainly focused on two aspects: one aspect is identification based on conventional methods. The method is characterized in that the causes of low-resistance oil layers are researched by adopting a plurality of core analysis means such as common flakes, cast flakes, X-diffraction, trace element analysis, electronic probes and the like, the low-resistance oil layers are identified by utilizing a conventional logging curve aiming at different causes, and scholars at home and abroad propose a plurality of qualitative and quantitative identification methods, for example, Lichanxi and the like respectively adopt a graphic method, an invasion factor identification method and a multi-well contrast method to identify the low-resistance oil layers in the text of 'evaluation method for low-amplitude and low-resistance oil layers invaded by fresh water drilling fluid'. Zhang Chong et al, in the study of mechanism of cause of low-resistance oil reservoir and well logging identification method, proposed to draw a cross-plot by using the resistivity read by long and short electrodes, draw a no-invasion line, identify the fluid, and so on. The existing low-resistivity oil layer identification method is mainly based on conventional logging information and new logging technical information such as nuclear magnetic resonance, array induction and the like. Although the data on a single well is rich, the sampling rate is higher and can reach 0.125m generally, and the resolution is higher. However, due to the limitation of complex geological conditions, although the acquisition method and the interpretation means are continuously improved, the interpretation of various data is often multi-solvable, part of suspicious oil layers is difficult to determine whether the suspicious oil layers are low-resistivity oil layers, and the condition of the low-resistivity oil layers in a research area is difficult to completely master only by means of single-well data. Meanwhile, the application conditions of various low-resistance oil layer identification methods are different, the applicability of various methods is not fully and comprehensively considered, and the uncertainty and the judgment pair probability of the judgment process are not reflected in the existing method, so that the final low-resistance oil layer identification result has no quantitative evaluation basis, the artificial subjective identification influence is large, and the judgment accuracy is reduced.
Therefore, a low-resistance oil layer identification method which can comprehensively utilize a plurality of methods for judgment and can quantitatively embody uncertainty and judgment probability in the judgment process is urgently needed in the existing oil and gas exploration.
Disclosure of Invention
The invention aims to solve the problems that the existing methods for identifying various low-resistance oil layers have different application conditions, a method for judging by comprehensively utilizing various methods is lacked, and the uncertainty and the judgment pair probability of the judging process are not reflected in the existing methods, and provides a method and a device for comprehensively identifying the low-resistance oil layers based on a judgment index, which can comprehensively consider the various oil layer identification methods and quantitatively reflect the uncertainty and the judgment pair probability in the judging process.
The application provides a low-resistance oil layer identification method and device based on a judgment index, which are realized as follows:
a low resistivity reservoir identification method based on a predicate index, the method comprising:
defining a low-resistance oil layer of a target exploration area;
acquiring data information of a target exploration area, and finding out a low-resistance oil layer which is proved by the data information and accords with the definition;
analyzing and processing the cause of the low-resistance oil layer of the target exploration, and determining a low-resistance oil layer identification method suitable for the target exploration area according to the analysis and processing result;
based on the adaptability and accuracy of the low-resistance oil layer identification method in a target exploration area, calculating an empirical judgment index corresponding to the low-resistance oil layer identification method according to a defined judgment index calculation mode, and acquiring the distribution range of the empirical judgment index;
searching a suspicious low-resistance oil layer in the target exploration area, and calculating to obtain a target judgment index of the suspicious low-resistance oil layer; and determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range.
In a preferred embodiment, the defining of the low resistivity reservoir defining the target survey area comprises:
and carrying out reservoir classification on the target exploration area according to the reservoir geological feature data of the target exploration area, and defining an oil layer with the resistivity ratio of the inside of each type of reservoir to the nearby water layer being less than 2 as a low-resistivity oil layer in the reservoir.
In a preferred embodiment, the calculation method of the applicability and the accuracy is as follows:
adaptation rate Di:dimensionless;
accuracy Ei:dimensionless
In the formula, i belongs to [1, n ], n is the number of the determined low-resistance oil layer identification methods suitable for the target exploration area, Di is the applicable rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, P is the total number of the low-resistance oil layers in the library, Di is the applicable number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer in the target exploration area, Ei is the identification correct rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, and Ei is the judgment number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer.
In a preferred embodiment, the decision index G is defined as follows:
wherein,
dimensionless;dimensionless;
in the above formula, RiIs the judgment index of the i-th low-resistance oil layer identification method, CiThe method is an ith low-resistivity oil layer identification method for the suitability of the reservoir to be judged.
In a preferred embodiment, the determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range includes:
and when the target judgment index is in the distribution range, confirming that the suspicious low-resistance oil layer is a low-resistance oil layer.
In a preferred embodiment, the method further comprises:
and for the suspicious low-resistance oil layer of which the target judgment index does not belong to the distribution range, taking the corresponding target judgment index as an output probability result for judging the target judgment index as the low-resistance oil layer.
A low resistivity reservoir identification apparatus based on a decision index, the apparatus comprising:
the low-resistance oil layer definition module is used for acquiring definition information of the low-resistance oil layer and determining a seismic oil layer of a defined target exploration area;
the low-resistance oil layer determining module is used for acquiring data information of a target exploration area and finding out a low-resistance oil layer which is confirmed by the data information and accords with the definition;
the identification method determination module is used for analyzing and processing the cause of the low-resistance oil layer of the target exploration and determining a low-resistance oil layer identification method suitable for the target exploration area according to the analysis and processing result;
the judgment index calculation module is used for solving an empirical judgment index corresponding to the low-resistance oil layer identification method according to a defined judgment index calculation mode based on the adaptability and accuracy of the low-resistance oil layer identification method in a target exploration area and acquiring the distribution range of the empirical judgment index;
the first identification module is used for searching a suspicious low-resistance oil layer in the target exploration area and calculating to obtain a target judgment index of the suspicious low-resistance oil layer; and determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range.
In a preferred embodiment, the defining of the low resistivity reservoir defining the target survey area comprises:
and carrying out reservoir classification on the target exploration area according to the reservoir geological feature data of the target exploration area, and defining an oil layer with the resistivity ratio of the inside of each type of reservoir to the nearby water layer being less than 2 as a low-resistivity oil layer in the reservoir.
In a preferred embodiment, the calculation method of the applicability and the accuracy is as follows:
adaptation rate Di:dimensionless;
accuracy Ei:dimensionless
In the formula, i belongs to [1, n ], n is the number of the determined low-resistance oil layer identification methods suitable for the target exploration area, Di is the applicable rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, P is the total number of the low-resistance oil layers in the library, Di is the applicable number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer in the target exploration area, Ei is the identification correct rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, and Ei is the judgment number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer.
In a preferred embodiment, the decision index G is defined as follows:
wherein,
dimensionless;dimensionless;
in the above formula, RiIs the judgment index of the i-th low-resistance oil layer identification method, CiThe method is an ith low-resistivity oil layer identification method for the suitability of the reservoir to be judged.
In a preferred embodiment, the determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range includes:
and when the target judgment index is in the distribution range, confirming that the suspicious low-resistance oil layer is a low-resistance oil layer.
In a preferred embodiment, the apparatus further comprises:
and the second identification module is used for taking the corresponding target judgment index as an output probability result of the low-resistance oil layer for the suspicious low-resistance oil layer of which the target judgment index does not belong to the distribution range.
The low-resistance oil layer identification method and device based on the judgment index, provided by the invention, take the applicability of the method into consideration, integrate various identification methods suitable for the conditions of a research area in the low-resistance oil layer identification, and avoid the limitation of judging by using one method. And a quantitative judgment mode is adopted, so that the subjective influence of manual identification is reduced, and the accuracy is obviously increased. The embodiment of the invention can give out the judgment index of the suspicious low-resistance oil layer based on the data of the determined low-resistance oil layer database, can determine whether the suspicious low-resistance oil layer is the low-resistance oil layer according to the distribution of the judgment index, and can indicate the probability of whether the suspicious low-resistance oil layer is the low-resistance oil layer, thereby reflecting the uncertainty of the judgment process. In practical application, the oil reservoirs can be ranked from high to low according to the judgment index, the probability that the suspicious layer is the low-resistance oil layer is gradually reduced, important reference is provided for residual oil reservoir exploitation, and the method has great practical production significance.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
FIG. 1 is a flow chart of a method of one embodiment of a low resistivity reservoir identification method based on a decision index of the present invention;
FIG. 2 is a schematic illustration of production dynamics data acquired for a target survey area in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the concept of determining a low resistivity oil reservoir using the generated dynamic data according to the present invention;
FIG. 4 is a block diagram of an embodiment of a low resistivity reservoir identification apparatus based on a decision index according to the present invention;
fig. 5 is a schematic block diagram of an embodiment of a low-resistance oil layer identification device based on a judgment index.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
FIG. 1 is a flow chart of a method of an embodiment of a low resistivity reservoir identification method based on a decision index according to the present invention. Although the present invention provides the method operation steps or apparatus structures as shown in the following embodiments or figures, more or less operation steps or module units after combination may be included in the method or apparatus based on the conventional or non-inventive labor. In the case of steps or structures which do not logically have the necessary cause and effect relationship, the execution order of the steps or the block structure of the apparatus is not limited to the execution order or the block structure shown in the embodiment or the drawings of the present invention. When the described method or module structure is applied to a practical device or an end product, the method or module structure according to the embodiment or the figures may be executed sequentially or executed in parallel (for example, in the environment of parallel processors or multi-thread processing, or even in the environment of distributed processing).
Fig. 1 is a schematic flow chart of a method of an embodiment of a low-resistivity oil reservoir identification method based on a judgment index according to the present application. Specifically, in an embodiment of the present invention, a low-resistance oil reservoir identification method based on a decision index is provided as shown in fig. 1, and may include:
s1: a low resistivity reservoir of the target exploration area is defined.
The method can firstly define the low-resistance oil layer of a target exploration area needing to identify the low-resistance oil layer, and determine the meaning of the low-resistance oil layer of the area (or the condition required to be met by the low-resistance oil layer of the area, and the like). The definition of the low resistivity reservoir may be based on production requirements and/or the geology of the target exploration area, with conventional or custom-designed conditions set. In one embodiment of the invention, considering that different types of reservoirs have different contents and forms of mud and cement and have different compactness, which all affect the resistivity of an oil-water layer, the low-resistance oil layer can be defined according to the types of the reservoirs in the embodiment. Accordingly, in one embodiment of the present invention, the defining of the low resistivity reservoir defining the target survey area may include:
s101: and carrying out reservoir classification on the target exploration area according to the reservoir geological feature data of the target exploration area, and defining an oil layer with the resistivity ratio of the inside of each type of reservoir to the nearby water layer being less than 2 as a low-resistivity oil layer in the reservoir.
Generally, an oil-water system has several oil layers and several water layers, and for an oil layer, the resistivity ratio is compared with the resistivity of the nearest water layer, and is less than 2, and the oil-water system can be regarded as a low-resistivity oil layer,
The reservoir geological characteristics can be particularly researched, the reservoir in a research area is classified according to the obtained core calibration, comprehensive granularity, reservoir physical properties, pore types, logging curve characteristic data and the like (such as a classification scheme shown in table 1), and an oil layer with the resistivity ratio of the inner part of each type of reservoir to the nearby water layer being less than 2 is defined as a low-resistance oil layer in the reservoir. The reference resistivity of water layers in the same reservoir type is usually different, and even if the oil-water layer is close to the water layer, the comparison cannot be carried out if the reservoir types are different. In one embodiment, a reservoir type classification scheme may be as shown in table 1:
table 1: reservoir classification scheme
S2: and acquiring data information of the target exploration area, and finding out the low-resistivity oil layer which is proved to be in accordance with the definition by the data information.
In specific implementation, the data information of the target exploration area, such as core information, oil test information, production dynamic information and the like, can be collated to find out the verified low-resistance oil layer which conforms to the definition of the low-resistance oil layer of the target exploration area, such as different reservoir types corresponding to different low-resistance oil layers and the like. In one embodiment of the invention, a low-resistance oil layer database can be established according to the low-resistance oil layer verified by various data information of the target area, and the sorted data can be stored according to a set format. The core data and the oil test data can directly give a judgment result whether the reservoir is a low-resistance oil layer, and the production dynamic data method can comprehensively judge according to data such as daily produced liquid, daily produced oil, water content, working fluid level and the like to obtain a result. Fig. 2 is a schematic diagram of dynamic data of production of a target exploration area acquired in an embodiment of the invention, and fig. 3 is a schematic diagram of the principle of judging a low resistivity oil layer by using the generated dynamic data in the invention. Referring to the dynamic production data acquired from a exploration area shown in fig. 2, one of the production wells firstly perforates 15 and 16 layers, then perforates 17 to 19 layers after plugging the 15 and 16 layers, and judges that the oil production is high and the water content is low in the initial stage after perforation 17 to 19 layers are oil layers. No. 20-21 layers and No. 17-19 layers are not shielded by an interlayer, and if the water layer is a water layer, a large amount of water is produced after the water layer is opened, so that the No. 20-21 layer at the lower part is judged to be an oil layer. And comparing the oil layer with a water layer of the same reservoir type, and judging that the No. 20-21 oil layer is a low-resistance oil layer.
In an embodiment of the invention, the established low resistivity reservoir database may mainly include core data, oil testing data, production dynamic data, logging curve characteristic data and the like of a low resistivity reservoir. The logging curve data mainly comprises logging technical data of the natural potential amplitude ratio, the lithological index, the deep resistivity, the shallow resistivity, the acoustic time difference, the density, the neutron, the Rw (inverse computation) and nuclear magnetic resonance logging, the array induction logging, the azimuth resistivity logging and the like of the layer. The data related to the low-resistance oil layer in the confirmed target exploration area are collated to obtain core data, oil testing data, dynamic data, logging curve characteristic data and the like, and can be collated or stored in a standardized manner according to a set storage mode to establish a low-resistance oil layer database of the target exploration area.
The low-resistance oil layer confirmed by each item of data in the target exploration area is collated to establish a low-resistance oil layer database, wherein,
the natural potential amplitude ratio is:dimensionless number;
Δ SP is the natural potential amplitude difference of the layer in mV, Δ SPmaxThe maximum value of the amplitude difference of the natural potential of the reservoir which belongs to the same base line with the layer is in mV;
lithology index of
SHindexIs lithology index, dimensionless, GRmin、GRmaxThe natural gamma log values are respectively the natural gamma log values of the target layer, the pure sandstone and the pure mudstone, and the unit API is used.
Rw (inverse calculation) is used for selecting rock electricity parameters for different reservoir types, and an Archie formula can be utilizedThe resistivity of the formation water obtained by inverse calculation has the unit of ohm.m. SwThe degree of saturation of the reservoir water is,is the porosity of the reservoir, RtThe resistivity of the reservoir is represented by the unit omega · m, wherein a and b are lithological indexes, m is a cementation index, n is a saturation index, and a, b, m and n are obtained from a rock-electricity experiment.
In this embodiment, data information of a target exploration area may be acquired, a low-resistance oil layer confirmed by the data information in the target exploration area may be found, and a low-resistance oil layer database of the target exploration area may be established after the data information is collated in a set manner. Of course, during actual field processing, the specific established low-resistivity oil reservoir database can be customized to set which parameter information is to be included according to actual needs or design requirements.
S2: and analyzing and processing the cause of the low-resistance oil layer, and determining a low-resistance oil layer identification method suitable for the target exploration area according to the analysis and processing result.
When the method is implemented, all causes of the low-resistance oil layer in the low-resistance oil layer database can be analyzed and processed through core analysis data such as core data, slice data and X-diffraction data, scanning electron microscope data and the like, for example, the existing identification method is investigated, and then all applicable identification methods under the existing economic and technical conditions are provided. For example, in one embodiment, the causes of the low resistivity reservoir are found to include high irreducible water saturation due to high shale content or fine pore structure, low oil saturation, presence of conductive minerals, additional conductivity of clay minerals, and other engineering factors. Therefore, a diagram method of Rw (inverse calculation) -lithology index, an explanation model method considering silt components, a reservoir process analysis method and a comprehensive method (combining a resistivity change characteristic method, a production dynamic data method and a natural potential amplitude method) are provided for the analysis and processing result of the low-resistance oil reservoir cause, and 4 low-resistance oil reservoir identification methods suitable for the target exploration area.
S4: and sequentially identifying the verified low-resistance oil layers by using the low-resistance oil layer identification method, and solving the adaptability and accuracy of each low-resistance oil layer identification method.
Specifically, for example, through the analysis processing of the low-resistance reservoir cause of the target exploration area, a diagram method of Rw (inverse calculation) -lithology index suitable for the target exploration area, an interpretation model method (improved method) considering silt components, a reservoir process analysis method and a low-resistance reservoir identification method in the comprehensive method 4 are finally selected. Then, the selected various methods can be used for sequentially researching low-resistance oil layers in the low-resistance oil layer library, and the proper utilization rate D of each method is calculated according to the judgment resultiAnd accuracy Ei. At one endIn one embodiment, the results of the fitness and accuracy of the selected method are shown in table 2 below:
table 2: suitability rate and accuracy rate of selected low-resistance oil layer identification method
| Method of producing a composite material | Suitability rate Di | Accuracy Ei |
| Method of making a plate | 0.842 | 0.604 |
| Interpretation of model methods | 0.842 | 0.763 |
| Method for analyzing process of formation and accumulation | 0.745 | 0.831 |
| Synthetic method | 0.722 | 0.895 |
The suitability ratio D shown in Table 2 aboveiAnd accuracy EiThe calculation method of one embodiment is as follows:
s401: adaptation rate Di:dimensionless;
accuracy Ei:and no dimension is required.
In the formula, i belongs to [1, n ], n is the number of the determined low-resistance oil layer identification methods suitable for the target exploration area, Di is the applicable rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, P is the total number of the low-resistance oil layers in the library, Di is the applicable number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer in the target exploration area, Ei is the identification correct rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, and Ei is the judgment number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer.
S5: and based on the adaptability and accuracy of the low-resistance oil layer identification method in a target exploration area, calculating an empirical judgment index corresponding to the low-resistance oil layer identification method according to a defined judgment index calculation mode, and acquiring the distribution range of the empirical judgment index.
And further, the verified low-resistance oil layers in the low-resistance oil layer database can be sequentially judged by adopting the selected low-resistance oil layer identification method to obtain the numerical values of the judgment indexes of the methods. In this embodiment, because the determination index is obtained based on the existing data in the low-resistivity oil reservoir database, the determination index of the low-resistivity oil reservoir identification method obtained by calculation may be used as an empirical determination index of the target exploration area, and may be used to list a distribution range of a G value of the determination index to determine the property of the suspicious low-resistivity oil reservoir. The judgment index in this embodiment is calculated based on the availability and the accuracy of each identification method according to a certain calculation mode, and specifically, how to calculate the judgment index according to the availability and the accuracy can be a calculation mode of self-defining the judgment index according to design requirements, so that the judgment index can comprehensively and quantitatively reflect the correctness and the applicability of the method to all the verified low resistivity oil reservoir identifications in the target exploration area. An embodiment of the present invention provides an implementation manner of calculating a determination index of a low-resistivity reservoir identification method, and in this embodiment, the determination index G may be defined as follows:
wherein,
dimensionless;dimensionless;
in the above formula, i ∈ [1, n]N is the number of the determined low-resistance oil layer identification methods suitable for the target exploration area, Di is the applicable rate of the i-th low-resistance oil layer identification method to the verified low-resistance oil layer, P is the total number of the low-resistance oil layers in the reservoir, Di is the applicable number of the i-th low-resistance oil layer identification method to the verified low-resistance oil layer in the target exploration area, Ei is the identification correct rate of the i-th low-resistance oil layer identification method to the verified low-resistance oil layer, and Ei is the identification correct rate of the i-th low-resistance oil layer identification method to the verified low-resistance oil layerThe number of pairs of low-resistance oil layers. RiIs the judgment index of the i-th low-resistance oil layer identification method, CiThe method is an ith low-resistance oil layer identification method for the suitability rate of a reservoir to be judged, n is the total number of methods, and m is the number of all judgment methods applicable to the layer. In a specific implementation application scene, all suspicious oil layers are judged by the defined judgment index method, the judgment index Gi is calculated by the formula, if the low-resistance oil layers confirmed in the target exploration area are judged by the selected method in sequence, the G values of the experience judgment indexes corresponding to all the methods are calculated according to the definition, and finally the distribution range of the G values is 0.781-0.853.
The G value obtained by the calculation method of the embodiment can reflect the probability that the reservoir is a low-resistivity oil layer judged by the selected low-resistivity oil layer identification method.
S6: searching a suspicious low-resistance oil layer in the target exploration area, and calculating to obtain a target judgment index of the suspicious low-resistance oil layer; and determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range.
In this embodiment, after establishing the verified low-resistance oil reservoir database and calculating the empirical determination indexes of all low-resistance oil reservoir identification methods applicable to the target exploration area, the suspicious low-resistance oil reservoir in the target exploration area to be identified can be further calculated, and it is determined whether the suspicious low-resistance oil reservoir contains oil or the property of the suspicious low-resistance oil reservoir, and other information.
In a specific application scene, if the target judgment indexes of No. 1 to No. 3 suspicious oil low-resistance oil layers are calculated to be 0.458, 0.81 and 0.69 respectively, and the distribution range of the G value of the regional experience judgment index is 0.781 to 0.853. And then identifying the suspicious low-resistance oil layer according to the distribution relation between the target judgment index and the distribution range, and determining an identification result.
Specifically, the mode of identifying the oil layer with low resistance according to the distribution condition of the target judgment index of the suspicious oil layer with low resistance in the respective range of the empirical judgment index can be accepted or rejected by the empirical judgment of operators, or the judgment standard is set in a self-defined mode, for example, the oil layer is formed when the target judgment index is near the median of the respective range, or the oil layer is surrounded in the dense respective interval, and the like. In an embodiment of the present invention, the determining the identification result of the suspicious low resistivity reservoir according to the distribution of the target judgment index in the distribution range may include:
s501: and when the target judgment index is in the distribution range, confirming that the suspicious low-resistance oil layer is a low-resistance oil layer.
In the application scenario of the above embodiment, the target determination index of the No. 2 suspicious low-resistance oil reservoir is 0.81, and the distribution range of the empirical determination index is 0.781-0.853, so that the No. 2 suspicious low-resistance oil reservoir can be considered as a low-resistance oil reservoir at this time.
Because the target judgment index of the 3 # suspicious low-resistance oil layer is 0.69 and is larger than the target judgment index of the 1 # low-resistance oil layer, the method provided by the embodiment can determine that the probability that the 3 # layer is the low-resistance oil layer is larger by taking the numerical value of the judgment index as a basis, and the 1 # layer is relatively low, so that the mining of the 2 # layer is preferentially considered in the excavation potential of the research area in the next step, and the oil testing is carried out on the 3 # suspicious oil layer. Therefore, in another embodiment of the method provided by the present invention, the method may further include:
s6: and for the suspicious low-resistance oil layer of which the target judgment index does not belong to the distribution range, taking the corresponding target judgment index as an output probability result for judging the target judgment index as the low-resistance oil layer.
Of course, in other embodiments, the determination index is defined differently, and a determination greater than 1 may occur. Even if the above is the case, when the same or equivalent scheme of S6 is implemented, the output probability result may include a mode in which the number is greater than 1, for example, if the empirical determination indexes are respectively in the range of [1.2 to 1.4], and the target determination indexes of the suspicious low-resistance oil reservoir nos. 100 and 101 are respectively 1.01 and 1.16, then the probabilities of the result pair of the suspicious low-resistance oil reservoir nos. 100 and 101 being the low-resistance oil reservoir nos. are respectively 1.01 and 1.16. According to the scheme set forth in the embodiment, the probability that the No. 101 suspicious seismic reservoir is actually a low-resistance reservoir is higher than that of the No. 100 suspicious low-resistance reservoir, so that the No. 100 suspicious seismic reservoir can be considered preferentially in exploration and exploitation, and a reliable, effective and quantitative support basis is provided for oil and gas exploration and development.
The low-resistance oil layer identification method based on the judgment index, provided by the invention, considers the applicability of the method, integrates various identification methods suitable for the conditions of a research area in the low-resistance oil layer identification, and avoids the limitation of judging by using one method. And a quantitative judgment mode is adopted, so that the subjective influence of manual identification is reduced, and the accuracy is obviously increased. The embodiment of the invention can give out the judgment index of the suspicious low-resistance oil layer based on the data of the determined low-resistance oil layer database, can determine whether the suspicious low-resistance oil layer is the low-resistance oil layer according to the distribution of the judgment index, and can indicate the probability of whether the suspicious low-resistance oil layer is the low-resistance oil layer, thereby reflecting the uncertainty of the judgment process. In practical application, the oil reservoirs can be ranked from high to low according to the judgment index, the probability that the suspicious layer is the low-resistance oil layer is gradually reduced, important reference is provided for residual oil reservoir exploitation, and the method has great practical production significance.
Based on the low-resistance oil layer identification method based on the judgment index, the invention also provides a low-resistance oil layer identification device based on the judgment index, which can be used in various terminal devices or seismic data analysis/processing systems, realizes a high-quantitative and reliable seismic oil layer identification result and improves the production efficiency. Fig. 4 is a schematic block diagram illustrating an embodiment of a low resistivity reservoir identification apparatus based on a decision index according to the present application, and as shown in fig. 4, the apparatus may include:
the low-resistance oil layer definition module 101 can be used for acquiring definition information of the low-resistance oil layer and determining a seismic oil layer of a defined target exploration area;
the low-resistance oil layer determining module 102 may be configured to obtain data information of the target exploration area, and find a low-resistance oil layer that is verified by the data information to meet the definition;
the identification method determination module 103 may be configured to analyze the cause of the low-resistance oil layer for the target exploration, and determine a low-resistance oil layer identification method applicable to the target exploration area according to an analysis result;
the judgment index calculation module 104 may be configured to calculate an empirical judgment index corresponding to the low resistivity oil layer identification method according to a defined judgment index calculation manner based on the availability and accuracy of the low resistivity oil layer identification method in the target exploration area, and obtain a distribution range of the empirical judgment index;
the first identification module 105 may be configured to search a suspicious low-resistance oil layer in the target exploration area, and calculate a target determination index of the suspicious low-resistance oil layer; and determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range.
And the definition of the low-resistance oil layer of the target exploration area enables operators to select a proper scheme according to the actual field requirements, the geological conditions and the like. In one embodiment of the apparatus provided by the present invention, the defining of the low resistivity reservoir defining the target exploration area may include:
and carrying out reservoir classification on the target exploration area according to the reservoir geological feature data of the target exploration area, and defining an oil layer with the resistivity ratio of the inside of each type of reservoir to the nearby water layer being less than 2 as a low-resistivity oil layer in the reservoir.
Referring to the foregoing method, in the apparatus provided by the present invention, the calculation manner of the applicability and the accuracy may be:
adaptation rate Di:dimensionless;
accuracy Ei:dimensionless
In the formula, i belongs to [1, n ], n is the number of the determined low-resistance oil layer identification methods suitable for the target exploration area, Di is the applicable rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, P is the total number of the low-resistance oil layers in the library, Di is the applicable number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer in the target exploration area, Ei is the identification correct rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, and Ei is the judgment number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer.
Of course, in another embodiment, the decision index G may be defined as follows:
wherein,
dimensionless;dimensionless;
in the above formula, RiIs the judgment index of the i-th low-resistance oil layer identification method, CiThe method is an ith low-resistivity oil layer identification method for the suitability of the reservoir to be judged.
Specifically, the mode of identifying the oil layer with low resistance according to the distribution condition of the target judgment index of the suspicious oil layer with low resistance in the respective range of the empirical judgment index can be accepted or rejected by the empirical judgment of operators, or the judgment standard is set in a self-defined mode, for example, the oil layer is formed when the target judgment index is near the median of the respective range, or the oil layer is surrounded in the dense respective interval, and the like. Therefore, the first identification module 105 determines the identification result of the suspicious low resistivity reservoir according to the distribution condition of the target judgment index in the distribution range, and a specific condition may include:
and when the target judgment index is in the distribution range, confirming that the suspicious low-resistance oil layer is a low-resistance oil layer.
Fig. 5 is a schematic block diagram of another embodiment of the low-resistance reservoir identification apparatus based on the decision index, and as shown in fig. 5, the apparatus may further include:
the second identifying module 106 may be configured to, for a suspicious low-resistance oil layer whose target decision index does not belong to the distribution range, take the corresponding target decision index as an output probability result of the low-resistance oil layer.
Various parameters, index calculation, low-resistance oil layer determination modes and the like related to the device can be specifically described with reference to methods, and are not described herein again. The low-resistance oil layer identification device based on the judgment index integrates various identification methods suitable for the conditions of a research area in low-resistance oil layer identification by considering the applicability of the method, and avoids the limitation of judging by using one method. And a quantitative judgment mode is adopted, so that the subjective influence of manual identification is reduced, and the accuracy is obviously increased. The embodiment of the invention can give out the judgment index of the suspicious low-resistance oil layer based on the data of the determined low-resistance oil layer database, can determine whether the suspicious low-resistance oil layer is the low-resistance oil layer according to the distribution of the judgment index, and can indicate the probability of whether the suspicious low-resistance oil layer is the low-resistance oil layer, thereby reflecting the uncertainty of the judgment process. In practical application, the oil reservoirs can be ranked from high to low according to the judgment index, the probability that the suspicious layer is the low-resistance oil layer is gradually reduced, important reference is provided for residual oil reservoir exploitation, and the method has great practical production significance.
Although the present application refers to the descriptions of low resistivity reservoir determination, defining physical property-resistance intersection, data analysis, definition, judgment manner such as data analysis, definition, judgment manner of the algic company for tedious resistivity requirement, reservoir formation condition analysis, calculation manner of accuracy/fitness rate, judgment index calculation manner, etc., the present application is not limited to the case of data analysis, processing, description or the description mentioned in the embodiments, etc., which are necessarily in accordance with the standard seismic exploration, and some industry standards, conventional processing methods or implementation schemes slightly modified based on the custom manner or the implementation described in the embodiments can also achieve the same, equivalent or similar implementation effects or predictable implementation effects after modification of the above embodiments. Examples of data analysis, definition, determination, processing, etc. obtained by applying these modifications or variations may still fall within the scope of alternative embodiments of the present application.
Although the present application provides method steps as described in an embodiment or flowchart, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an apparatus or client product in practice executes, it may execute sequentially or in parallel (e.g., in a parallel processor or multithreaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods shown in the figures. 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, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
The units, devices, modules, etc. set forth in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the present application, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of a plurality of sub-modules or sub-units, and the like.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
While the present application has been described with examples, those of ordinary skill in the art will appreciate that there are numerous variations and permutations of the present application without departing from the spirit of the application, and it is intended that the appended claims encompass such variations and permutations without departing from the spirit of the application.
Claims (12)
1. A low resistivity reservoir identification method based on a decision index, the method comprising:
defining a low-resistance oil layer of a target exploration area;
acquiring data information of a target exploration area, and finding out a low-resistance oil layer which is proved by the data information and accords with the definition;
analyzing and processing the cause of the low-resistance oil layer of the target exploration, and determining a low-resistance oil layer identification method suitable for the target exploration area according to the analysis and processing result;
based on the adaptability and accuracy of the low-resistance oil layer identification method in a target exploration area, calculating an empirical judgment index corresponding to the low-resistance oil layer identification method according to a defined judgment index calculation mode, and acquiring the distribution range of the empirical judgment index;
searching a suspicious low-resistance oil layer in the target exploration area, and calculating to obtain a target judgment index of the suspicious low-resistance oil layer; and determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range.
2. The method of claim 1, wherein the defining a low resistivity reservoir of the target survey area comprises:
and carrying out reservoir classification on the target exploration area according to the reservoir geological feature data of the target exploration area, and defining an oil layer with the resistivity ratio of the inside of each type of reservoir to the nearby water layer being less than 2 as a low-resistivity oil layer in the reservoir.
3. The method of claim 1, wherein the fitness and accuracy are calculated by:
adaptation rate Di:dimensionless;
accuracy Ei:dimensionless
In the formula, i belongs to [1, n ], n is the number of the determined low-resistance oil layer identification methods suitable for the target exploration area, Di is the applicable rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, P is the total number of the low-resistance oil layers in the library, Di is the applicable number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer in the target exploration area, Ei is the identification correct rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, and Ei is the judgment number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer.
4. The method of claim 3, wherein the decision index G is defined as follows:
wherein,
dimensionless;dimensionless;
in the above formula, RiIs the judgment index of the i-th low-resistance oil layer identification method, CiThe method is an ith low-resistivity oil layer identification method for the suitability of the reservoir to be judged.
5. The method according to claim 1, wherein the determining the identification result of the suspicious low resistivity reservoir according to the distribution of the target judgment index in the distribution range comprises:
and when the target judgment index is in the distribution range, confirming that the suspicious low-resistance oil layer is a low-resistance oil layer.
6. The method of claim 5, wherein the method further comprises:
and for the suspicious low-resistance oil layer of which the target judgment index does not belong to the distribution range, taking the corresponding target judgment index as an output probability result for judging the target judgment index as the low-resistance oil layer.
7. A low resistivity reservoir discriminating apparatus based on a decision index, the apparatus comprising:
the low-resistance oil layer definition module is used for acquiring definition information of the low-resistance oil layer and determining a seismic oil layer of a defined target exploration area;
the low-resistance oil layer determining module is used for acquiring data information of a target exploration area and finding out a low-resistance oil layer which is confirmed by the data information and accords with the definition;
the identification method determination module is used for analyzing and processing the cause of the low-resistance oil layer of the target exploration and determining a low-resistance oil layer identification method suitable for the target exploration area according to the analysis and processing result;
the judgment index calculation module is used for solving an empirical judgment index corresponding to the low-resistance oil layer identification method according to a defined judgment index calculation mode based on the adaptability and accuracy of the low-resistance oil layer identification method in a target exploration area and acquiring the distribution range of the empirical judgment index;
the first identification module is used for searching a suspicious low-resistance oil layer in the target exploration area and calculating to obtain a target judgment index of the suspicious low-resistance oil layer; and determining the identification result of the suspicious low-resistivity oil layer according to the distribution condition of the target judgment index in the distribution range.
8. The low resistivity reservoir identifying apparatus according to claim 7, wherein the defining of the low resistivity reservoir defining the target survey area includes:
and carrying out reservoir classification on the target exploration area according to the reservoir geological feature data of the target exploration area, and defining an oil layer with the resistivity ratio of the inside of each type of reservoir to the nearby water layer being less than 2 as a low-resistivity oil layer in the reservoir.
9. The low resistivity reservoir discriminating apparatus as defined in claim 7, wherein the applicability and accuracy are calculated by:
adaptation rate Di:dimensionless;
accuracy Ei:dimensionless
In the formula, i belongs to [1, n ], n is the number of the determined low-resistance oil layer identification methods suitable for the target exploration area, Di is the applicable rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, P is the total number of the low-resistance oil layers in the library, Di is the applicable number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer in the target exploration area, Ei is the identification correct rate of the ith low-resistance oil layer identification method to the verified low-resistance oil layer, and Ei is the judgment number of the ith low-resistance oil layer identification method to the verified low-resistance oil layer.
10. The low resistivity reservoir discriminating apparatus as defined in claim 9, wherein the decision index G is defined as follows:
wherein,
dimensionless;dimensionless;
in the above formula, RiIs the judgment index of the i-th low-resistance oil layer identification method, CiThe method is an ith low-resistivity oil layer identification method for the suitability of the reservoir to be judged.
11. The apparatus for identifying a low resistivity reservoir based on a judgment index according to claim 7, wherein the determining of the identification result of the suspicious low resistivity reservoir based on the distribution of the target judgment index in the distribution range includes:
and when the target judgment index is in the distribution range, confirming that the suspicious low-resistance oil layer is a low-resistance oil layer.
12. The low resistivity reservoir identifying apparatus based on decision index as claimed in claim 11, further comprising:
and the second identification module is used for taking the corresponding target judgment index as an output probability result of the low-resistance oil layer for the suspicious low-resistance oil layer of which the target judgment index does not belong to the distribution range.
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