Method and device for calculating average permeability value of rock reservoir, electronic equipment and medium

Abstract

This application discloses a method, apparatus, electronic device, and medium for calculating the average permeability of rock reservoirs. The method may include: calculating the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme values ​​of permeability in a known multi-well reservoir; establishing a fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme values ​​of permeability in the known multi-well reservoir; and substituting the arithmetic mean of the logarithmic values ​​of the extreme values ​​of permeability into the fitting relationship to calculate the corresponding logarithmic value of the average permeability. This invention improves the accuracy of estimating the average permeability of a work area, making subsequent research results that require the use of the average permeability of the work area more reliable.

Description

Technical Field

[0001] This invention relates to the fields of geology and geophysics, and more specifically, to a method, apparatus, electronic device, and medium for calculating the average permeability of rock reservoirs. Background Technology

[0002] Currently, the exploration and development of hydrothermal geothermal resources is progressing rapidly, and the average permeability of geothermal reservoirs is a crucial rock property parameter for geothermal exploration and development. Typically, the effective permeability range of the target rock reservoir in the study area can be collected and understood, but the specific and accurate average permeability information is unknown; sometimes, only the maximum effective permeability information is available. In this scenario, the commonly used general average permeability value for the rock and reservoir is often simply used directly. This results in a significant error between the average permeability obtained for the study area and the actual average permeability, casting doubt on the reliability of subsequent research results.

[0003] Therefore, it is necessary to develop a method, apparatus, electronic equipment, and medium for calculating the average permeability of rock reservoirs.

[0004] The information disclosed in the background section of this invention is intended only to enhance the understanding of the general background of this invention, and should not be construed as an admission or in any way implying that such information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] This invention proposes a method, apparatus, electronic device, and medium for calculating the average permeability of rock reservoirs, which improves the accuracy of the average permeability estimation of the work area and makes the results of subsequent studies that require the use of the average permeability of the work area more reliable.

[0006] In a first aspect, embodiments of this disclosure provide a method for calculating the average permeability value of a rock reservoir, including:

[0007] Calculate the logarithmic average of the average permeability and the logarithmic arithmetic mean of the extreme permeability of the known multi-well reservoir.

[0008] Establish a fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme values ​​of permeability in the known multi-well reservoir;

[0009] Substitute the logarithmic arithmetic mean of the maximum and minimum permeability of the multi-well reservoir into the fitted relationship to calculate the corresponding logarithmic value of the average permeability.

[0010] As a specific implementation of this disclosure, the logarithmic arithmetic mean of the extreme and minimum effective penetration rates is calculated using the maximum effective penetration rate and the minimum effective penetration rate.

[0011] As a specific implementation of this disclosure, the logarithmic arithmetic mean of the extreme value penetration rate is:

[0012] lg(K 算均 )=(lg(K 最大 )+lg(K 最小 )) / 2

[0013] Wherein lg(K) 算均 ) represents the logarithmic arithmetic mean of the extreme values ​​of permeability, lg(K) 最大 ) is the logarithm of the maximum effective permeability, lg(K) 最小 ) is the logarithm of the minimum effective permeability.

[0014] As a specific implementation of this disclosure, if there is no minimum effective permeability, the general lower limit of permeability of the lithology is used instead.

[0015] As one specific implementation of this disclosure, the fitting relationship is a linear fitting relationship.

[0016] As a specific implementation of this disclosure, establishing the fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme permeability in the known multi-well reservoir includes:

[0017] Establish an initial fitting relationship;

[0018] Substituting the logarithmic values ​​of the average permeability and the logarithmic arithmetic mean of the extreme permeability values ​​in the known multi-well reservoirs into the initial fitting relationship, the fitting parameters are calculated, and thus the fitting relationship is obtained.

[0019] Secondly, embodiments of this disclosure also provide a device for calculating the average permeability value of a rock reservoir, comprising:

[0020] The calculation module calculates the logarithmic average of the average permeability and the logarithmic arithmetic mean of the extreme permeability of known multi-well reservoirs.

[0021] The fitting module establishes a fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic permeability of the maximum and minimum values ​​in the known multi-well reservoir.

[0022] Substitute the logarithmic arithmetic mean of the maximum and minimum permeability of the multi-well reservoir into the fitting relationship to calculate the corresponding logarithmic value of the average permeability.

[0023] As a specific implementation of this disclosure, the logarithmic arithmetic mean of the extreme and minimum effective penetration rates is calculated using the maximum effective penetration rate and the minimum effective penetration rate.

[0024] As a specific implementation of this disclosure, the logarithmic arithmetic mean of the extreme value penetration rate is:

[0025] lg(K 算均 )=(lg(K 最大)+lg(K 最小 )) / 2

[0026] Wherein lg(K) 算均 ) represents the logarithmic arithmetic mean of the extreme values ​​of permeability, lg(K) 最大 ) is the logarithm of the maximum effective permeability, lg(K) 最小 ) is the logarithm of the minimum effective permeability.

[0027] As a specific implementation of this disclosure, if there is no minimum effective permeability, the general lower limit of permeability of the lithology is used instead.

[0028] As one specific implementation of this disclosure, the fitting relationship is a linear fitting relationship.

[0029] As a specific implementation of this disclosure, establishing the fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme permeability in the known multi-well reservoir includes:

[0030] Establish an initial fitting relationship;

[0031] Substituting the logarithmic values ​​of the average permeability and the logarithmic arithmetic mean of the extreme permeability values ​​in the known multi-well reservoirs into the initial fitting relationship, the fitting parameters are calculated, and thus the fitting relationship is obtained.

[0032] Thirdly, embodiments of this disclosure also provide an electronic device, the electronic device comprising:

[0033] Memory, which stores executable instructions;

[0034] A processor that executes the executable instructions in the memory to implement the method for calculating the average permeability value of the rock reservoir.

[0035] Fourthly, embodiments of this disclosure also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for calculating the average permeability value of a rock reservoir.

[0036] Its beneficial effects are as follows:

[0037] This invention is based on permeability data that conforms to a log-normal distribution under natural conditions. Knowing only the maximum and minimum effective permeability of the target geothermal reservoir in the work area, the average permeability value of the target geothermal reservoir in the work area can be estimated by fitting a formula. The estimated average permeability value of the target geothermal reservoir in the work area is more accurate in a statistical sense than the general average permeability value of this type of rock reservoir, and the calculation is also more convenient.

[0038] The methods and apparatus of the present invention have other features and advantages that will be apparent from or will be set forth in detail in the accompanying drawings and following detailed description, which together serve to explain the particular principles of the invention. Attached Figure Description

[0039] The above and other objects, features and advantages of the present invention will become more apparent from the more detailed description of exemplary embodiments of the invention in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same parts.

[0040] Figure 1 A flowchart illustrating the steps of a method for calculating the average permeability value of a rock reservoir according to an embodiment of the present invention is shown.

[0041] Figure 2 A schematic diagram is shown illustrating the relationship between the logarithmic value of the average permeability and the logarithmic arithmetic mean of the maximum and minimum effective permeability of the Guantao Formation sandstone reservoir in the Kaifeng Depression, according to an embodiment of the present invention.

[0042] Figure 3 A schematic diagram showing the relationship between the logarithmic value of the average permeability of the Ordovician carbonate reservoir in the Taiyuan Basin and the logarithmic arithmetic mean of the maximum and minimum effective permeability is shown according to an embodiment of the present invention.

[0043] Figure 4 A block diagram of a rock reservoir average permeability calculation device according to an embodiment of the present invention is shown.

[0044] Explanation of reference numerals in the attached figures:

[0045] 201. Calculation module; 202. Fitting module; 203. Substitution module. Detailed Implementation

[0046] Preferred embodiments of the invention will now be described in more detail. While preferred embodiments of the invention are described below, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0047] To facilitate understanding of the solutions and effects of the embodiments of the present invention, seven specific application examples are given below. Those skilled in the art should understand that these examples are merely for the purpose of understanding the present invention, and any specific details therein are not intended to limit the present invention in any way.

[0048] Example 1

[0049] Figure 1A flowchart illustrating the steps of a method for calculating the average permeability value of a rock reservoir according to an embodiment of the present invention is shown.

[0050] like Figure 1 As shown, the method for calculating the average permeability of the rock reservoir includes: Step 101, calculating the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme values ​​of permeability in the known multi-well rock reservoir; Step 102, establishing a fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme values ​​of permeability in the known multi-well rock reservoir; Step 103, substituting the arithmetic mean of the logarithmic values ​​of the extreme values ​​of permeability of the multi-well rock reservoir into the fitting relationship, and calculating the corresponding logarithmic value of the average permeability.

[0051] In one example, the logarithmic arithmetic mean of the maximum and minimum effective permeability is calculated.

[0052] In one example, the logarithmic arithmetic mean of the extreme permeability is:

[0053] lg(K 算均 )=(lg(K 最大 )+lg(K 最小 )) / 2

[0054] Wherein lg(K) 算均 ) represents the logarithmic arithmetic mean of the extreme values ​​of permeability, lg(K) 最大 ) is the logarithm of the maximum effective permeability, lg(K) 最小 ) is the logarithm of the minimum effective permeability.

[0055] In one example, if there is no minimum effective permeability, the lower limit of the general permeability of the rock type is used instead.

[0056] In one example, the fitting relationship is a linear fit.

[0057] In one example, establishing the fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic permeability of a known multi-well reservoir includes:

[0058] Establish an initial fitting relationship;

[0059] By substituting the known logarithmic values ​​of the average permeability and the logarithmic arithmetic mean of the extreme permeability values ​​in the multi-well reservoir into the initial fitting relationship, the fitting parameters are calculated, and thus the fitting relationship is obtained.

[0060] Specifically, this invention uses the effective maximum and minimum values ​​in a work area sample that conforms to a log-normal distribution to estimate the overall average value of the sample.

[0061] First, take the common logarithm of the maximum and minimum effective permeability of the target reservoir from multiple wells with the same reservoir around the work area, and then calculate the extreme values ​​of the maximum and minimum effective permeability logarithm arithmetic mean lg(K). 算均 ):

[0062] lg(K 算均 )=(lg(K 最大 )+lg(K 最小 )) / 2

[0063] If there is no minimum effective permeability, the lower limit of the general permeability of the rock type can be used instead.

[0064] The logarithmic value of the average permeability of the surrounding wells is lg(K). 均 ) and the maximum and minimum effective permeability, the logarithmic arithmetic mean of permeability, lg(K) 算均 Substitute these values ​​into the following formula to obtain the fitting coefficients A and B:

[0065] lg(K 均 )=A·lg(K 算均 )+B

[0066] The logarithmic arithmetic mean lg(K) of the target rock reservoir in the work area was calculated. 算均 Substituting these values ​​into the fitting formula, the average permeability of the target rock reservoir in the work area can be estimated.

[0067] Example 2

[0068] The present invention also provides a device for calculating the average permeability value of a rock reservoir, comprising:

[0069] The calculation module calculates the logarithmic average of the average permeability and the logarithmic arithmetic mean of the extreme permeability of known multi-well reservoirs.

[0070] The fitting module establishes a fitting relationship between the logarithmic value of the average permeability in a known multi-well reservoir and the logarithmic arithmetic mean of the extreme permeability values.

[0071] Substitute the logarithmic arithmetic mean of the maximum and minimum permeability of the multi-well reservoir into the fitting relationship, and calculate the corresponding logarithmic value of the average permeability.

[0072] In one example, the logarithmic arithmetic mean of the maximum and minimum effective permeability is calculated.

[0073] In one example, the logarithmic arithmetic mean of the extreme permeability is:

[0074] lg(K 算均 )=(lg(K 最大 )+lg(K 最小 )) / 2

[0075] Wherein lg(K) 算均 ) represents the logarithmic arithmetic mean of the extreme values ​​of permeability, lg(K) 最大 ) is the logarithm of the maximum effective permeability, lg(K) 最小 ) is the logarithm of the minimum effective permeability.

[0076] In one example, if there is no minimum effective permeability, the lower limit of the general permeability of the rock type is used instead.

[0077] In one example, the fitting relationship is a linear fit.

[0078] In one example, establishing the fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic permeability of a known multi-well reservoir includes:

[0079] Establish an initial fitting relationship;

[0080] By substituting the known logarithmic values ​​of the average permeability and the logarithmic arithmetic mean of the extreme permeability values ​​in the multi-well reservoir into the initial fitting relationship, the fitting parameters are calculated, and thus the fitting relationship is obtained.

[0081] Specifically, this invention uses the effective maximum and minimum values ​​in a work area sample that conforms to a log-normal distribution to estimate the overall average value of the sample.

[0082] First, take the common logarithm of the maximum and minimum effective permeability of the target reservoir from multiple wells with the same reservoir around the work area, and then calculate the extreme values ​​of the maximum and minimum effective permeability logarithm arithmetic mean lg(K). 算均 ):

[0083] lg(K 算均 )=(lg(K 最大 )+lg(K 最小 )) / 2

[0084] If there is no minimum effective permeability, the lower limit of the general permeability of the rock type can be used instead.

[0085] The logarithmic value of the average permeability of the surrounding wells is lg(K). 均 ) and the logarithmic mean of the extreme values ​​of permeability lg(K) 算均 Substitute these values ​​into the following formula to obtain the fitting coefficients A and B:

[0086] lg(K 均 )=A·lg(K 算均 )+B

[0087] The maximum and minimum permeability logarithmic arithmetic mean of the target reservoir in the work area was calculated as lg(K). 算均 Substituting these values ​​into the fitting formula, the average permeability of the target rock reservoir in the work area can be estimated.

[0088] Example 3

[0089] Figure 2 A schematic diagram is shown illustrating the relationship between the logarithmic value of the average permeability and the logarithmic arithmetic mean of the maximum and minimum effective permeability of the Guantao Formation sandstone reservoir in the Kaifeng Depression, according to an embodiment of the present invention.

[0090] like Figure 2 As shown, in the Kaifeng Depression of North China, for the Guantao Formation sandstone reservoir, after applying this method, A can be taken as 0.55 and B as 1.45. Therefore, the Guantao Formation sandstone reservoir in the Kaifeng Depression is:

[0091] lg(K 均 )=0.55lg(K 算均 +1.45

[0092] The results are shown in Table 1. The ratio of the estimated average permeability to the actual average permeability is 1.35, which is between 0.5 and 2.

[0093] Table 1

[0094]

[0095] Example 4

[0096] Figure 3 A schematic diagram showing the relationship between the logarithmic value of the average permeability of the Ordovician carbonate reservoir in the Taiyuan Basin and the logarithmic arithmetic mean of the maximum and minimum effective permeability is shown according to an embodiment of the present invention.

[0097] like Figure 3 As shown, in the Taiyuan Basin of North China, for the Ordovician carbonate reservoir, after applying this method, with A taken as 1.175 and B as 0.385, the Ordovician carbonate reservoir in the Taiyuan Basin is:

[0098] lg(K 均 )=1.175lg(K 算均 +0.385

[0099] The results are shown in Table 2. The ratio of the estimated average penetration rate to the actual value is 1.68, which is between 0.5 and 2.

[0100] Table 2

[0101]

[0102] Example 5

[0103] Figure 4 A block diagram of a rock reservoir average permeability calculation device according to an embodiment of the present invention is shown.

[0104] like Figure 4 As shown, the device for calculating the average permeability of the rock reservoir includes:

[0105] Calculation module 201 calculates the logarithmic average of the average permeability and the logarithmic arithmetic mean of the extreme values ​​of permeability for known multi-well reservoirs.

[0106] Fitting module 202 establishes a fitting relationship between the logarithmic value of the average permeability in a known multi-well reservoir and the logarithmic arithmetic mean of the extreme permeability values.

[0107] Substitute the logarithmic arithmetic mean of the maximum and minimum permeability of the multi-well reservoir into the fitting relationship, and calculate the corresponding logarithmic value of the average permeability.

[0108] In one example, the logarithmic arithmetic mean of the maximum and minimum effective permeability is calculated.

[0109] In one example, the logarithmic arithmetic mean of the extreme permeability is:

[0110] lg(K 算均 )=(lg(K 最大 )+lg(K 最小 )) / 2

[0111] Wherein lg(K) 算均 ) represents the logarithmic arithmetic mean of the extreme values ​​of permeability, lg(K) 最大 ) is the logarithm of the maximum effective permeability, lg(K) 最小 ) is the logarithm of the minimum effective permeability.

[0112] In one example, if there is no minimum effective permeability, the lower limit of the general permeability of the rock type is used instead.

[0113] In one example, the fitting relationship is a linear fit.

[0114] In one example, establishing the fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic permeability of a known multi-well reservoir includes:

[0115] Establish an initial fitting relationship;

[0116] By substituting the known logarithmic values ​​of the average permeability and the logarithmic arithmetic mean of the extreme permeability values ​​in the multi-well reservoir into the initial fitting relationship, the fitting parameters are calculated, and thus the fitting relationship is obtained.

[0117] Example 6

[0118] This disclosure provides an electronic device, comprising: a memory storing executable instructions; and a processor executing the executable instructions in the memory to implement the above-described method for calculating the average permeability value of a rock reservoir.

[0119] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.

[0120] This memory is used to store non-transitory computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.

[0121] The processor may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of this disclosure, the processor is used to execute computer-readable instructions stored in the memory.

[0122] Those skilled in the art will understand that, in order to solve the technical problem of how to achieve a good user experience, this embodiment may also include well-known structures such as communication buses and interfaces, and these well-known structures should also be included within the protection scope of this disclosure.

[0123] For a detailed description of this embodiment, please refer to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.

[0124] Example 7

[0125] This disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for calculating the average permeability value of a rock reservoir.

[0126] A computer-readable storage medium according to embodiments of the present disclosure stores non-transitory computer-readable instructions. When these non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the methods described in the foregoing embodiments of the present disclosure are performed.

[0127] The aforementioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or portable hard drive), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).

[0128] Those skilled in the art should understand that the above description of the embodiments of the present invention is only intended to illustrate the beneficial effects of the embodiments of the present invention, and is not intended to limit the embodiments of the present invention to any of the examples given.

[0129] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for calculating the average permeability of a rock reservoir, characterized in that, include: Calculate the logarithmic average of the average permeability and the logarithmic arithmetic mean of the extreme permeability of the known multi-well reservoir. Establish a fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme values ​​of permeability in the known multi-well reservoir; Substitute the logarithmic arithmetic mean of the maximum and minimum permeability of the multi-well reservoir into the fitted relationship to calculate the corresponding logarithmic value of the average permeability.

2. The method for calculating the average permeability of a rock reservoir according to claim 1, wherein, The logarithmic arithmetic mean of the extreme and minimum effective permeability is calculated using the maximum and minimum effective permeability.

3. The method for calculating the average permeability of a rock reservoir according to claim 2, wherein, The logarithmic arithmetic mean of the extreme values ​​of permeability is: log(K 算均 )=(lg(K 最大 )+lg(K 最小 )) / 2 Wherein lg(K) 算均 ) represents the logarithmic arithmetic mean of the extreme values ​​of permeability, lg(K) 最大 ) is the logarithm of the maximum effective permeability, lg(K) 最小 ) is the logarithm of the minimum effective permeability.

4. The method for calculating the average permeability of a rock reservoir according to any one of claims 1-3, wherein, If there is no minimum effective permeability, the lower limit of the general permeability of the rock type shall be used instead.

5. The method for calculating the average permeability of a rock reservoir according to claim 1, wherein, The fitting relationship is a linear fitting relationship.

6. The method for calculating the average permeability of a rock reservoir according to claim 1, wherein, Establishing a fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic values ​​of the extreme permeability in the known multi-well reservoir includes: Establish an initial fitting relationship; Substituting the logarithmic values ​​of the average permeability and the logarithmic arithmetic mean of the extreme permeability values ​​in the known multi-well reservoirs into the initial fitting relationship, the fitting parameters are calculated, and thus the fitting relationship is obtained.

7. A device for calculating the average permeability of a rock reservoir, characterized in that, include: The calculation module calculates the logarithmic average of the average permeability and the logarithmic arithmetic mean of the extreme permeability of known multi-well reservoirs. The fitting module establishes a fitting relationship between the logarithmic value of the average permeability and the arithmetic mean of the logarithmic permeability of the maximum and minimum values ​​in the known multi-well reservoir. Substitute the logarithmic arithmetic mean of the maximum and minimum permeability of the multi-well reservoir into the fitting relationship to calculate the corresponding logarithmic value of the average permeability.

8. The apparatus for calculating the average permeability of a rock reservoir according to claim 7, wherein, The logarithmic arithmetic mean of the extreme and minimum effective permeability is calculated using the maximum and minimum effective permeability.

9. An electronic device, characterized in that, The electronic device includes: Memory, which stores executable instructions; A processor that executes the executable instructions in the memory to implement the method for calculating the average permeability value of a rock reservoir as described in any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method for calculating the average permeability value of a rock reservoir as described in any one of claims 1-6.

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