Normalization method and device of relative permeability curve, electronic equipment and storage medium
The phase permeability curve in the oil and gas field was processed through the segmented fitting calculation method, which solved the problem of poor linear relationship between the relative permeability of the fluid and the logarithmic saturation, improved the normalization accuracy of the phase permeability curve, and represented the reservoir Fluid seepage characteristics.
Patent Information
- Application Number
- CN202310871861.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-16
- Publication Date
- 2025-01-17
AI Technical Summary
In the process of normalizing phase permeability curves in oil and gas fields, due to the poor logarithmic linear relationship between the relative permeability of the fluid and the fluid saturation, the calculation of characteristic parameters is inaccurate, resulting in relatively large normalization errors in reservoir phase permeability curves. big.
The segmented fitting calculation method is used to standardize the rock sample experimental data and determine the characteristic parameters according to geological characteristics and reservoir classification. The core samples with nonlinear relationships are processed in segments to obtain the consistency of various reservoirs. Relative permeability curve.
It effectively reduces the error caused by low linear fitting accuracy, improves the accuracy of normalization of phase permeability curves, and ensures the representativeness of the seepage characteristics of reservoir fluids in each flow stage.
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Figure CN119322919A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the technical field of oil and gas reservoir engineering, and specifically relates to a normalization method for a relative permeability curve of a reservoir fluid. Background Art
[0002] The relative permeability curve (phase permeability curve) can reflect the complex process of fluid seepage in the reservoir during the development of oil and gas fields. It is an important basic data for dynamic analysis, capacity calculation and development index prediction during the development and production of oil and gas fields, and is of great significance for guiding the development of oil and gas reservoirs. The phase permeability curve is usually obtained by laboratory measurement. The phase permeability curve measured for each rock sample has certain differences. On the basis of reasonable reservoir division, the representative phase permeability curve is normalized to obtain a phase permeability curve that can represent the seepage characteristics of each type of reservoir. At present, the main normalization methods include the average method, the empirical formula method, the relative permeability characteristic curve method, the polynomial fitting method and the cubic spline difference method.
[0003] The most commonly used method is the empirical formula method, which analyzes the phase permeability curve obtained from the core experiment, standardizes the fluid saturation and relative permeability, takes the logarithm of both ends of the exponential relationship equation between the standardized relative permeability and the fluid saturation to obtain the logarithmic linear relationship between the standardized relative permeability and the standardized fluid saturation, and uses the slope of the fitted linear relationship to obtain the characteristic parameters of each rock sample. However, in the process of normalizing the phase permeability curve for actual oil and gas fields, it is often encountered that the logarithmic linear relationship between the standardized relative permeability and the fluid saturation of a certain phase is poor or obviously not a logarithmic linear relationship. However, due to the limitations of the normalization formula, the characteristic parameters calculated by fitting according to the straight line and the calculation of the normalization of the reservoir phase permeability curve using the characteristic parameters will have relatively large errors. In view of the problem of the poor logarithmic linear relationship between the fluid relative permeability and the fluid saturation during the normalization process, how to effectively avoid the error caused by the low accuracy of linear fitting is a problem that needs to be solved urgently. Summary of the invention
[0004] In view of this, the present application provides a normalization method, device, electronic device and storage medium for a phase permeability curve, which uses segmented characteristic parameter fitting calculation and phase permeability curve normalization to effectively avoid the problem of inaccurate characteristic parameter calculation caused by the poor logarithmic linear relationship between fluid relative permeability and fluid saturation, so as to help solve the problem in the prior art that the phase permeability curve obtained after normalization cannot effectively represent the seepage characteristics of the reservoir fluid in each flow stage.
[0005] In a first aspect, an embodiment of the present application provides a method for normalizing a phase permeability curve, comprising:
[0006] Analyze the geological characteristics of the location to be studied and establish corresponding reservoir classification;
[0007] According to the reservoir classification, the rock samples for phase permeability curve are classified, and after quality inspection, the rock sample experimental data participating in normalization calculation are determined and standardized;
[0008] Determine the normalized characteristic parameters of the rock sample experimental data one by one, and for the core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates, determine the normalized characteristic parameters in sections;
[0009] According to the reservoir classification, determining the average value of normalized characteristic parameters of rock sample experimental data in each type of reservoir;
[0010] According to the average values of the normalized characteristic parameters of the rock sample experimental data in various reservoirs, the normalized relative permeability curves of the rock sample experimental data in various reservoirs are obtained;
[0011] For the core samples in which the relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates, the intersection of the relative permeability curves obtained by segmented calculation is used as the boundary to obtain the normalized relative permeability curves segmentally.
[0012] In a possible implementation, the rock samples for phase permeability curves are classified according to the reservoir classification, and the rock sample experimental data involved in normalization calculation is determined after quality inspection and standardized, including:
[0013] The rock sample experimental data is standardized according to formula (1):
[0014]
[0015] In a possible implementation, the normalized characteristic parameters of the rock sample experimental data are determined one by one, and for core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates, the normalized characteristic parameters are determined in sections, including:
[0016] According to formula (2), the relative permeability index relationship of the rock sample experimental data is obtained:
[0017]
[0018] According to formula (3), the logarithms of both ends of the relative permeability index relationship of the rock sample experimental data are obtained:
[0019]
[0020] If the logarithmic relationship between the relative permeability and water saturation of the core to be studied is a piecewise linear correlation, the second regression relationship is expressed by formula (4):
[0021]
[0022] If the logarithmic relationship between the relative permeability and water saturation of the core to be studied is not linear, the normalized characteristic parameter values of the rock sample experimental data are determined in sections.
[0023] In a possible implementation, obtaining the normalized relative permeability curve of the rock sample experimental data in various reservoirs according to the average value of the normalized characteristic parameters of the rock sample experimental data in various reservoirs includes:
[0024] The normalized characteristic parameter average value of the rock sample experimental data is obtained using formula (5):
[0025]
[0026] In a possible implementation, obtaining the normalized relative permeability curve of the rock sample experimental data in various reservoirs according to the average value of the normalized characteristic parameters of the rock sample experimental data in various reservoirs includes:
[0027] S w * Assign a value of 0 to 1 and calculate the normalized phase permeability curve according to formula (6):
[0028]
[0029] In formula (1) to formula (6), K rg is the measured gas phase relative permeability of the core, K rw is the measured relative permeability of water phase in the core, S w is the measured water saturation of the core, S wi is the irreducible water saturation measured in the core, S gr is the residual gas saturation measured in the core, K rg (S wi ) is the gas phase relative permeability measured at irreducible water saturation in the core, K rw (S gr ) is the relative permeability of water phase measured at residual gas saturation in the core; K′ rg is the normalized gas phase relative permeability, K′ rw is the normalized water phase relative permeability, is the standardized water saturation, a, b, c are the characteristic parameters of normalized calculation, is the sample average of gas phase relative permeability at irreducible water saturation, is the sample average of the relative permeability of the water phase at residual gas saturation, is the sample average value of irreducible water saturation, is the sample average value of residual gas saturation, is the sample average value of the characteristic parameter, S w is the water saturation of the normalized relative permeability curve, is the relative permeability of water phase in segment 1 of the normalized relative permeability curve, is the relative permeability of water phase in segment 2 of the normalized relative permeability curve, is the gas phase relative permeability of the normalized relative permeability curve.
[0030] In a second aspect, a normalization device for a phase permeability curve comprises:
[0031] Reservoir classification module: used to analyze the geological characteristics of the location to be studied and establish corresponding reservoir classification;
[0032] Data standardization processing module: used to classify the rock samples for phase permeability curve according to the reservoir classification, determine the rock sample experimental data involved in normalization calculation after quality inspection and perform standardization processing;
[0033] Normalized characteristic parameter value acquisition module: used to determine the normalized characteristic parameters of the rock sample experimental data one by one, and determine the normalized characteristic parameters in sections for core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates;
[0034] Normalized characteristic parameter average value acquisition module: used to determine the average value of the normalized characteristic parameters of the rock sample experimental data in each type of reservoir according to the reservoir classification;
[0035] A module for acquiring normalized relative permeability curves of various reservoirs: used to acquire normalized relative permeability curves of rock sample experimental data in various reservoirs according to the average values of normalized characteristic parameters of rock sample experimental data in various reservoirs;
[0036] The module for obtaining normalized relative permeability curves by segment is used for core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates. The intersection of the relative permeability curves obtained by segment calculation is used as the boundary to obtain normalized relative permeability curves by segment.
[0037] In a third aspect, an embodiment of the present application provides an electronic device, including:
[0038] processor;
[0039] Memory;
[0040] And a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, and when the instructions are executed by the processor, the electronic device executes any one of the methods described in the first aspect.
[0041] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein the device where the computer-readable storage medium is located in the time and space where the program is executed executes any one of the methods described in the first aspect.
[0042] In the embodiments of the present application, the present invention adopts a normalized calculation method for a segmented relative permeability curve. On the basis of reasonable reservoir type classification and experimental data quality inspection, the difference between the logarithmic linear relationship between actual fluid relative permeability data and fluid saturation and the theoretical empirical formula is considered. Different linear regression relationships are adopted for different seepage stages in the normalized calculation process to reduce the error of the normalized relative permeability curve caused by the low precision of a unified straight line fitting for the entire seepage stage.
[0043] Taking the actual experimental data of K gas reservoir as an example, based on geological research, the standardization of gas-water relative permeability curves, eigenvalue acquisition, normalized eigenvalue fitting analysis and classified gas-water relative permeability curve normalization calculation are carried out for different reservoir types. The relative permeability experimental data of the gas reservoir show that the logarithmic linear relationship between gas phase permeability and water saturation is obvious, but the logarithmic linear relationship between water phase permeability and water saturation is poor. The error of water phase relative permeability calculated by eigenvalue obtained by linear fitting is large, while the error of gas phase relative permeability calculated by eigenvalue fitting of segmented linear relationship is significantly reduced. It is more reasonable to use the segmented method for normalization calculation of relative permeability curves. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0045] Figure 1 A flow chart of a normalization method for a phase permeability curve provided in an embodiment of the present application;
[0046] Figure 2 A schematic diagram of the logarithmic linear relationship fitting between the normalized water phase relative permeability and the normalized water saturation provided in the embodiment of the present application;
[0047] Figure 3 A schematic diagram of the logarithmic linear relationship fitting between the normalized gas phase relative permeability and the normalized water saturation provided in the embodiment of the present application;
[0048] Figure 4 A schematic diagram showing the comparison between the normalized fitting calculation results and the measured data provided in the embodiment of the present application;
[0049] Figure 5 A schematic diagram of a normalized relative permeability curve (1-10 mD) provided in an embodiment of the present application;
[0050] Figure 6 A schematic diagram of a normalized relative permeability curve (<1 mD) provided in an embodiment of the present application;
[0051] Figure 7 A structural block diagram of a phase permeability curve normalization device provided in an embodiment of the present application;
[0052] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0053] In order to better understand the technical solution of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.
[0054] It should be clear that the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.
[0055] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.
[0056] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.
[0057] In the process of normalizing phase permeability curves in actual oil and gas fields, the problem of poor logarithmic linear relationship between the standardized relative permeability of a certain phase and the fluid saturation is often encountered. Limited by the current normalization method, if the linear relationship is still used for fitting, the calculated normalized phase permeability curve of the reservoir will have a large error.
[0058] In view of the above problems, the present invention proposes a method for segmented normalization calculation of relative permeability curves. This method is based on geological research and reasonable reservoir classification, and performs quality inspection, standardization processing, analysis and fitting on the core experimental relative permeability data of various reservoirs to obtain normalized characteristic parameters. The normalized calculation is performed according to reservoir analysis to obtain representative partitioned relative permeability curves.
[0059] In order to make the technical content and technical advantages of the present invention clearer, the present invention is further described below with reference to the accompanying drawings and taking the experimental data of the K gas reservoir as an example. It should be pointed out that unless otherwise defined, the relevant terms used in the present invention should be technical terms that can be understood by technicians with general skills in the technical field to which the present invention belongs, and are described in detail below with reference to the accompanying drawings.
[0060] See also Figure 1 , is a schematic diagram of a process flow of a normalization method for a phase permeability curve provided in an embodiment of the present application. Figure 1 As shown, it mainly includes the following steps.
[0061] S101: Analyze the geological characteristics of the location to be studied and establish corresponding reservoir classification;
[0062] In the embodiment of the present application, the K gas reservoir is a carbonate gas reservoir, and a total of 29 cores in the main layer section were subjected to gas-water relative permeability measurement experiments. Due to the strong heterogeneity of the reservoir, the air permeability of the 29 cores ranged from 0.607 to 1476.35 mD, the porosity ranged from 5.6 to 21.99%, and the bound water saturation ranged from 0.35 to 0.87. Through reservoir analysis and sample quality inspection, the reservoirs were divided into 4 categories according to the permeability ranges of <1 mD, 1 to 10 mD, 10 to 100 mD and >100 mD.
[0063] S102: Classifying the rock samples for phase permeability curve according to the reservoir classification, determining the rock sample experimental data involved in normalization calculation after quality inspection and performing standardization processing;
[0064] In this implementation, the rock sample experimental data is standardized according to formula (1):
[0065]
[0066] S103: determining normalized characteristic parameters of the rock sample experimental data one by one, and determining normalized characteristic parameters in sections for core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates;
[0067] In this embodiment, the relative permeability index relationship of the rock sample experimental data is obtained according to formula (2):
[0068]
[0069] According to formula (3), the logarithms of both ends of the relative permeability index relationship of the rock sample experimental data are obtained:
[0070]
[0071] If the logarithmic relationship between the relative permeability and water saturation of the core to be studied is a piecewise linear correlation, the second regression relationship is expressed by formula (4):
[0072]
[0073] If the logarithmic relationship between the relative permeability and water saturation of the core to be studied is not linear, the normalized characteristic parameter values of the rock sample experimental data are determined in sections.
[0074] Through normalization processing, it is found that when the permeability is greater than 10mD, the logarithmic linear relationship between the relative permeability of the gas and water phases and the water saturation is better. When the permeability is less than 10mD, the logarithmic linear relationship between the gas phase relative permeability and the water saturation is better, while the logarithmic linear relationship between the water phase relative permeability and the water saturation is weaker. Taking sample 77H as an example, the logarithmic plate of the standardized water phase permeability and water saturation (lgKrw'~lgSw*) is obviously not a straight line passing through the origin. Figure 2 , Figure 3 As shown in the figure, if a straight line fitting is used, although the correlation coefficient is high, the Krw calculated by the eigenvalue is obviously very different from the actual experimental data; however, if the logarithmic plate relationship is divided into two sections, a straight line relationship with an intercept of 0 and a straight line relationship with an intercept not equal to 0 are used for segmented fitting respectively, and the Krw calculated in the two sections is divided by the intersection of the two calculation curves, and the segmented fitting degree is higher. Figure 4 shown.
[0075] S104: according to the reservoir classification, determining the average value of the normalized characteristic parameters of the rock sample experimental data in each type of reservoir;
[0076] The normalized characteristic parameter average value of the rock sample experimental data is obtained using formula (5):
[0077]
[0078] S105: obtaining normalized relative permeability curves of the rock sample experimental data in various reservoirs according to average values of normalized characteristic parameters of the rock sample experimental data in various reservoirs;
[0079] S w * Assign a value of 0 to 1 and calculate the normalized phase permeability curve according to formula (6):
[0080]
[0081] In formula (1) to formula (6), K rg is the measured gas phase relative permeability of the core, K rw is the measured relative permeability of water phase in the core, S w is the measured water saturation of the core, S wi is the irreducible water saturation measured in the core, S gr is the residual gas saturation measured in the core, K rg (S wi ) is the gas phase relative permeability measured at irreducible water saturation in the core, K rw (S gr ) is the relative permeability of water phase measured at residual gas saturation in the core; K′ rg is the normalized gas phase relative permeability, K′ rw is the normalized water phase relative permeability, is the standardized water saturation, a, b, c are the characteristic parameters of normalized calculation, is the sample average of gas phase relative permeability at irreducible water saturation, is the sample average of the relative permeability of the water phase at residual gas saturation, is the sample average value of irreducible water saturation, is the sample average value of residual gas saturation, is the sample average value of the characteristic parameter, S w is the water saturation of the normalized relative permeability curve, is the relative permeability of water phase in segment 1 of the normalized relative permeability curve, is the relative permeability of water phase in segment 2 of the normalized relative permeability curve, is the gas phase relative permeability of the normalized relative permeability curve.
[0082] S106: For core samples where the relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates, the intersection of the relative permeability curves obtained by segmented calculation is used as the boundary to obtain the normalized relative permeability curves segmentally.
[0083] Based on basic research, a segmented normalization calculation method is used for rock samples with permeability ranges of <1mD and 1-10mD. The normalized characteristic values of the two types of reservoirs are shown in Table 1, and the normalized phase permeability curves are shown in Figure 5 , Figure 6 .
[0084] Table 1 Normalized calculated eigenvalues
[0085]
[0086] Corresponding to the above-mentioned embodiment, the present application also provides a normalization device for a phase permeability curve.
[0087] See also Figure 7 , which is a structural block diagram of a normalization device for phase permeability curves provided in this application. Figure 7 As shown, it mainly includes the following modules.
[0088] Reservoir classification module 701: used to analyze the geological characteristics of the location to be studied and establish corresponding reservoir classification;
[0089] Data standardization processing module 702: used to classify the rock samples for phase permeability curve according to the reservoir classification, determine the rock sample experimental data involved in normalization calculation after quality inspection and perform standardization processing;
[0090] Normalized characteristic parameter value acquisition module 703: used to determine the normalized characteristic parameters of the rock sample experimental data one by one, and determine the normalized characteristic parameters in sections for core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates;
[0091] Normalized characteristic parameter average value acquisition module 704: used to determine the average value of the normalized characteristic parameters of the rock sample experimental data in each type of reservoir according to the reservoir classification;
[0092] The module 705 for acquiring normalized relative permeability curves of various reservoirs is used to acquire normalized relative permeability curves of rock sample experimental data of various reservoirs according to the average values of normalized characteristic parameters of rock sample experimental data of various reservoirs;
[0093] The module 706 for obtaining normalized relative permeability curves by segment is used for core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates. The normalized relative permeability curves are obtained by segmentation using the intersection of the relative permeability curves obtained by segmentation calculation as the boundary.
[0094] It should be pointed out that the specific contents involved in the embodiments of the present application can be found in the description of the above method embodiments, and for the sake of brevity, they will not be repeated here.
[0095] Corresponding to the above embodiment, an embodiment of the present application further provides an electronic device.
[0096] See also Figure 8 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 8As shown, the electronic device 800 may include: a processor 801, a memory 802 and a communication unit 803. These components communicate via one or more buses. Those skilled in the art will appreciate that the electronic device structure shown in the figure does not limit the embodiments of the present application. It may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange components differently.
[0097] The communication unit 803 is used to establish a communication channel so that the electronic device can communicate with other devices.
[0098] The processor 801 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. It runs or executes software programs and / or modules stored in the memory 802, and calls data stored in the memory to perform various functions of the electronic device and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 801 can include only a central processing unit (CPU). In the embodiment of the present application, the CPU can be a single computing core or multiple computing cores.
[0099] Memory 1002 is used to store execution instructions of processor 801. Memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination of them, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
[0100] When the execution instructions in the memory 802 are executed by the processor 801 , the electronic device 800 is enabled to execute part or all of the steps in the above method embodiment.
[0101] Corresponding to the above embodiment, the embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium may store a program, wherein when the program is running, the device where the computer-readable storage medium is located may be controlled to perform some or all of the steps in the above method embodiment. In a specific implementation, the computer-readable storage medium may be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).
[0102] Corresponding to the above-mentioned embodiment, the embodiment of the present application further provides a computer program product, which includes executable instructions. When the executable instructions are executed on a computer, the computer executes some or all of the steps in the above-mentioned method embodiment.
[0103] In the embodiments of the present application, "at least one" refers to one or more, and "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.
[0104] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0105] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0106] In several embodiments provided in the present application, any function can be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., and other media that can store program codes.
[0107] The above is only a specific implementation of the present application. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. The protection scope of the present application should be based on the protection scope of the claims.
Claims
1. A normalization method for phase permeability curve, characterized in that: include: Analyze the geological characteristics of the location to be studied and establish corresponding reservoir classification; According to the reservoir classification, the rock samples for phase permeability curve are classified, and after quality inspection, the rock sample experimental data participating in normalization calculation are determined and standardized; Determine the normalized characteristic parameters of the rock sample experimental data one by one, and for the core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates, determine the normalized characteristic parameters in sections; According to the reservoir classification, determining the average value of normalized characteristic parameters of rock sample experimental data in each type of reservoir; According to the average values of the normalized characteristic parameters of the rock sample experimental data in various reservoirs, the normalized relative permeability curves of the rock sample experimental data in various reservoirs are obtained; For the core samples in which the relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates, the intersection of the relative permeability curves obtained by segmented calculation is used as the boundary to obtain the normalized relative permeability curves segmentally.
2. A method for normalizing a phase permeability curve as claimed in claim 1, characterized in that: According to the reservoir classification, the rock samples for phase permeability curve are classified, and after quality inspection, the rock sample experimental data participating in the normalization calculation are determined and standardized, including: The rock sample experimental data is standardized according to formula (1):
3. A method for normalizing a phase permeability curve as claimed in claim 1, characterized in that: The normalized characteristic parameters of the rock sample experimental data are determined one by one, and for the core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates, the normalized characteristic parameters are determined in sections, including: According to formula (2), the relative permeability index relationship of the rock sample experimental data is obtained: According to formula (3), the logarithms of both ends of the relative permeability index relationship of the rock sample experimental data are obtained: If the logarithmic relationship between the relative permeability and water saturation of the core to be studied is a piecewise linear correlation, the second regression relationship is expressed by formula (4): If the logarithmic relationship between the relative permeability and water saturation of the core to be studied is not linear, the normalized characteristic parameter values of the rock sample experimental data are determined in sections.
4. A method for normalizing a phase permeability curve as claimed in claim 1, characterized in that: The method of obtaining the normalized relative permeability curve of the rock sample experimental data in various reservoirs according to the average value of the normalized characteristic parameters of the rock sample experimental data in various reservoirs includes: The normalized characteristic parameter average value of the rock sample experimental data is obtained using formula (5):
5. A method for normalizing a phase permeability curve as claimed in claim 1, characterized in that: The method of obtaining the normalized relative permeability curve of the rock sample experimental data in various reservoirs according to the average value of the normalized characteristic parameters of the rock sample experimental data in various reservoirs includes: S w * Assign a value of 0 to 1 and calculate the normalized phase permeability curve according to formula (6):
6. A normalization device for phase permeability curve, characterized in that: include: Reservoir classification module: used to analyze the geological characteristics of the location to be studied and establish corresponding reservoir classification; Data standardization processing module: used to classify the rock samples for phase permeability curve according to the reservoir classification, determine the rock sample experimental data involved in normalization calculation after quality inspection and perform standardization processing; Normalized characteristic parameter value acquisition module: used to determine the normalized characteristic parameters of the rock sample experimental data one by one, and determine the normalized characteristic parameters in sections for core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates; Normalized characteristic parameter average value acquisition module: used to determine the average value of the normalized characteristic parameters of the rock sample experimental data in each type of reservoir according to the reservoir classification; A module for acquiring normalized relative permeability curves of various reservoirs: used to acquire normalized relative permeability curves of rock sample experimental data in various reservoirs according to the average values of normalized characteristic parameters of rock sample experimental data in various reservoirs; The module for obtaining normalized relative permeability curves by segment is used for core samples whose relative permeability and fluid saturation are obviously not in a linear relationship under double logarithmic coordinates. The intersection of the relative permeability curves obtained by segment calculation is used as the boundary to obtain normalized relative permeability curves by segment.
7. An electronic device, characterized in that: include: processor; Memory; And a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, and when the instructions are executed by the processor, the electronic device executes the method according to any one of claims 1.
8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the device where the computer-readable storage medium is located during the execution time of the program executes the method according to any one of claims 1.