Quantitative evaluation method, system and equipment for mudstone sealing property and storage medium

Abstract

The embodiment of the invention relates to the technical field of natural gas exploration and development, and discloses a mudstone sealing property quantitative evaluation method, system and device and a storage medium, and the method comprises the steps: determining a sample parameter well; acquiring sample factor parameters of the sample parameter well, which influence the mudstone sealing property, and factor parameters of all wells in the to-be-evaluated block; respectively calculating weight values of single sample factor parameters; according to the factor parameters of all wells in the to-be-evaluated block and the weight values of the single sample factor parameters, calculating a mudstone sealing index T; and evaluating the mudstone sealing performance of all wells in the to-be-evaluated block according to the mudstone sealing index T. According to the embodiment of the invention, the method can achieve the quantitative evaluation of the mudstone sealing performance, and improves the recognition precision of an enriched gas reservoir.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the technical field of natural gas exploration and development, and in particular to a method, system, device and storage medium for quantitatively evaluating mudstone sealing properties. Background Art

[0002] Mudstone caprocks play an important sealing role in natural gas accumulation. Caprocks are of great significance to the formation and distribution of natural gas reservoirs. On the one hand, mudstone caprocks affect the accumulation and enrichment of natural gas. On the other hand, caprocks effectively reduce the large-scale diffusion loss of natural gas, allowing more natural gas to migrate to suitable traps and accumulate.

[0003] In the research results of existing technologies, the evaluation of mudstone sealing capacity is mainly based on qualitative evaluation, which takes relatively few influencing factors into consideration and lacks comprehensive quantitative evaluation of multiple factors. At the same time, the qualitative evaluation of mudstone sealing is not accurate enough. Summary of the invention

[0004] The embodiments of the present disclosure provide a method, system, device and storage medium for quantitatively evaluating the sealing property of mudstone to solve or alleviate one or more of the above technical problems in the prior art.

[0005] According to one aspect of the present disclosure, a method for quantitatively evaluating the sealing property of mudstone is provided, comprising:

[0006] Determine sample parameter wells;

[0007] Obtain sample factor parameters affecting mudstone sealing of sample parameter wells and factor parameters of all wells in the block to be evaluated;

[0008] Calculate the weight values ​​of single sample factor parameters respectively;

[0009] The mudstone sealing index T is calculated according to the factor parameters of all wells in the block to be evaluated and the weight values ​​of the single sample factor parameters;

[0010] The mudstone sealing index T is used to evaluate the mudstone sealing properties of all wells in the block to be evaluated.

[0011] In a possible implementation, determining the sample parameter well includes:

[0012] Determine a gas reservoir that meets the target conditions, wherein the gas reservoir that meets the target conditions is an independent lithological trap, has no fracture communication, has a mudstone isolation ratio exceeding R%, and has the same gas source migrating upward;

[0013] In the gas reservoirs meeting the target conditions, a sample parameter well meeting the set conditions is selected at every set distance, and the parameter well meeting the set conditions is a parameter well having actual measured experimental data of mudstone.

[0014] In a possible implementation, the sample factor parameters include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of the mudstone sample, and the cumulative thickness and number of mudstone layers between two gas-bearing layers of the parameter well;

[0015] The factor parameters of all wells in the block to be evaluated include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of mudstone in all wells in the block to be evaluated, and cumulative thickness and number of mudstone layers between two gas-bearing layers in each well in the block to be evaluated.

[0016] In a possible implementation, respectively calculating the weight values ​​of the single sample factor parameters includes:

[0017] Calculate the average of the single sample factor parameters separately and standard deviation V i ;

[0018] Based on the average of the single sample factor parameters and standard deviation V i , calculate the coefficient of variation D of the single sample factor parameters respectively i ;

[0019] According to the coefficient of variation D of the single sample factor parameter i The sum of the coefficients of variation of all sample factor parameters is used to obtain the weight value M of the single sample factor parameter. i .

[0020] In a possible implementation, the average of the single sample factor parameters is and standard deviation V i The calculation formulas are:

[0021]

[0022]

[0023] In the formula, n represents the number of single sample factors; f i Represents the single sample factor parameter; i represents the single sample factor number.

[0024] In a possible implementation, the coefficient of variation D of the single sample factor parameter is i The calculation formula is:

[0025]

[0026] In the formula, f i represents the single sample factor parameter; i represents the single sample factor number; p represents the value of i; Represents the average of the single sample factor parameters; V i Represents the standard deviation of the single-sample factor parameter.

[0027] In a possible implementation, the weight value M of the single sample factor parameter is i The calculation formula is:

[0028]

[0029] Where D i It represents the coefficient of variation of the single sample factor parameter; i represents the single sample factor number; p represents the value of i.

[0030] In a possible implementation, the calculation of the mudstone sealing index T according to the factor parameters of all wells in the block to be evaluated and the weight values ​​of the single sample factor parameters includes:

[0031] Calculate the average value of the factor parameters of all wells in the block to be evaluated. The calculation formula is:

[0032]

[0033] In the formula, n′ represents the number of single factors of all wells in the block to be evaluated; f i ′ represents the single factor parameters of all wells in the block to be evaluated; i′ represents the single factor number of all wells in the block to be evaluated;

[0034] According to the average value of the factor parameters of all wells in the block to be evaluated and the weight value M of the single sample factor parameter i , calculate the mudstone sealing index T, the calculation formula of the mudstone sealing index T is:

[0035]

[0036] Where M1 represents the weight value of the first sample factor parameter; M2 represents the weight value of the second sample factor parameter; n Represents the weight value of the nth sample factor parameter; It represents the average value of the first factor parameter of all wells in the block to be evaluated; represents the average value of the second factor parameter of all wells in the block to be evaluated; It represents the average value of the nth factor parameter of all wells in the block to be evaluated.

[0037] According to one aspect of the present disclosure, a mudstone sealing quantitative evaluation system is provided, comprising:

[0038] A determination unit, used for determining a sample parameter well;

[0039] An acquisition unit, used to acquire sample factor parameters affecting mudstone sealing properties of the sample parameter well and factor parameters of all wells in the block to be evaluated;

[0040] A first calculation unit, used to calculate the weight value of a single sample factor parameter;

[0041] The second calculation unit is used to calculate the mudstone sealing index T according to the factor parameters of all wells in the block to be evaluated and the weight value of the single sample factor parameter;

[0042] The evaluation unit is used to evaluate the mudstone sealing properties of all wells in the evaluation block according to the mudstone sealing index T.

[0043] In a possible implementation manner, the determining unit includes:

[0044] A determination module is used to determine a gas reservoir that meets the target conditions, wherein the gas reservoir that meets the target conditions is an independent lithological trap, has no fracture communication, has a mudstone isolation ratio exceeding R%, and has the same gas source migrating upward;

[0045] The selection module is used to select a sample parameter well that meets the set conditions at a set distance in a gas reservoir that meets the target conditions. The parameter well that meets the set conditions is a parameter well with mudstone measured experimental data.

[0046] In a possible implementation, the sample factor parameters include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of the mudstone sample, and the cumulative thickness and number of mudstone layers between two gas-bearing layers of the parameter well;

[0047] The factor parameters of all wells in the block to be evaluated include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of mudstone in all wells in the block to be evaluated, and cumulative thickness and number of mudstone layers between two gas-bearing layers in each well in the block to be evaluated.

[0048] In a possible implementation manner, the first computing unit includes:

[0049] The first calculation module is used to calculate the average of single sample factor parameters and standard deviation V i ;

[0050] The second calculation module is used to calculate the average of the single sample factor parameters and standard deviation V i , calculate the coefficient of variation D of the single sample factor parameter i ;

[0051] The third calculation module is used to calculate the coefficient of variation D of the single sample factor parameter. i The sum of the coefficients of variation of all sample factor parameters is used to obtain the weight value M of the single sample factor parameter. i .

[0052] In a possible implementation, the average of the single sample factor parameters is and standard deviation V i The calculation formulas are:

[0053]

[0054]

[0055] In the formula, n represents the number of single sample factors; f i Represents the single sample factor parameter; i represents the single sample factor number.

[0056] In a possible implementation, the coefficient of variation D of the single sample factor parameter is i The calculation formula is:

[0057]

[0058] In the formula, f i represents the single sample factor parameter; i represents the single sample factor number; p represents the value of i; Represents the average of the single sample factor parameters; V i Represents the standard deviation of the single-sample factor parameter.

[0059] In a possible implementation, the weight value M of the single sample factor parameter is i The calculation formula is:

[0060]

[0061] Where D i It represents the coefficient of variation of the single sample factor parameter; i represents the single sample factor number; p represents the value of i.

[0062] In a possible implementation manner, the second computing unit includes:

[0063] The fourth calculation module is used to calculate the average value of the factor parameters of all wells in the block to be evaluated. The calculation formula is:

[0064]

[0065] In the formula, n′ represents the number of single factors of all wells in the block to be evaluated; f i ′ represents the single factor parameters of all wells in the block to be evaluated; i′ represents the single factor number of all wells in the block to be evaluated;

[0066] The fifth calculation module is used to calculate the average value of the factor parameters of all wells in the block to be evaluated. and the weight value M of the single sample factor parameter i , calculate the mudstone sealing index T, the calculation formula of the mudstone sealing index T is:

[0067]

[0068] Where M1 represents the weight value of the first sample factor parameter; M2 represents the weight value of the second sample factor parameter; n Represents the weight value of the nth sample factor parameter; It represents the average value of the first factor parameter of all wells in the block to be evaluated; represents the average value of the second factor parameter of all wells in the block to be evaluated; It represents the average value of the nth factor parameter of all wells in the block to be evaluated.

[0069] According to one aspect of the present disclosure, a mudstone sealing quantitative evaluation device is provided, comprising:

[0070] Processor and memory;

[0071] The memory is used to store a computer program, and the processor calls the computer program stored in the memory to execute any one of the above-mentioned methods for quantitatively evaluating the sealing properties of mudstone.

[0072] According to one aspect of the present disclosure, a computer-readable storage medium is provided, in which a computer program is stored. When the computer program is executed by a processor, the processor is enabled to execute any one of the above-mentioned methods for quantitatively evaluating the sealing properties of mudstone.

[0073] The exemplary embodiments of the present disclosure have the following beneficial effects: The exemplary embodiments of the present disclosure provide a new quantitative and accurate evaluation method for mudstone sealing based on a large amount of experimental data and comprehensive analysis of various major factors affecting mudstone sealing, providing technical support for the optimization of exploration blocks and the search for favorable natural gas enrichment areas. The exemplary embodiments of the present disclosure can accurately and quantitatively evaluate mudstone sealing, thereby increasing the accuracy of enriched gas reservoir identification.

[0074] The details of one or more embodiments of the present application are presented in the following drawings and descriptions. Other features and advantages of the present application will become apparent from the accompanying drawings. It should be understood that the above general description and the detailed descriptions below are only exemplary and explanatory and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification are used to explain the principles of the present disclosure. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0076] Figure 1 is a flow chart of a method for quantitatively evaluating the sealing properties of mudstone according to the exemplary embodiment;

[0077] Figure 2 is a comprehensive interpretation diagram of a parameter well X1 selected in a certain area of ​​the exemplary embodiment;

[0078] Figure 3 is a contour map of mudstone sealing index from 1000 to 4000 in a certain area of ​​the exemplary embodiment;

[0079] Figure 4 is a block diagram of a system for quantitatively evaluating the sealing properties of mudstone according to the exemplary embodiment;

[0080] Figure 5 It is a schematic diagram of the structure of a mudstone sealing quantitative evaluation device according to this exemplary embodiment. DETAILED DESCRIPTION

[0081] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0082] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware units or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0083] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the steps. For example, some steps may be decomposed, while some steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0084] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example.

[0085] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or sub-modules is not necessarily limited to those steps or sub-modules explicitly listed, but may include other steps or sub-modules not explicitly listed or inherent to these processes, methods, products, or apparatuses.

[0086] Figure 1 is one of the flow charts of a method for quantitatively evaluating the sealing property of mudstone in this exemplary embodiment. Figure 1 As shown, an exemplary embodiment of the present disclosure provides a method for quantitatively evaluating the sealing property of mudstone, comprising:

[0087] S1 determines the sample parameter well;

[0088] S2 obtains the sample factor parameters affecting the sealing property of mudstone of the sample parameter well and the factor parameters of all wells in the block to be evaluated;

[0089] S3 calculates the weight values ​​of single sample factor parameters respectively;

[0090] S4 calculates the mudstone sealing index T according to the factor parameters of all wells in the block to be evaluated and the weight values ​​of the single sample factor parameters;

[0091] S5 evaluates the mudstone sealing properties of all wells in the block to be evaluated according to the mudstone sealing index T.

[0092] This embodiment provides a quantitative and accurate evaluation method for mudstone sealing based on a large amount of experimental data and comprehensive factors affecting mudstone sealing, providing technical support for the optimization of exploration blocks and the search for favorable natural gas enrichment areas.

[0093] Specifically, the step S1 of determining sample parameters includes:

[0094] S11 determines a gas reservoir that meets the target conditions, wherein the gas reservoir that meets the target conditions is an independent lithological trap, has no fracture communication, has a mudstone isolation ratio exceeding R%, and has the same gas source migrating upward;

[0095] S12: In the gas reservoirs meeting the target conditions, a sample parameter well meeting the set conditions is selected at every set distance, wherein the parameter well meeting the set conditions is a parameter well having actual measured experimental data of mudstone.

[0096] For example, relatively independent lithologic traps, no fracture communication, mudstone as the main sealing function, and gas reservoirs with upward migration from the same gas source are selected. Multiple parameter wells with measured mudstone experimental data are selected, and at least one parameter well is selected for every 10 square kilometers. The mudstone experimental data between the two gas-bearing layers of the parameter wells are collected. The experimental data include the breakthrough pressure, displacement pressure, porosity, permeability, and diffusion coefficient of the mudstone samples. The cumulative thickness of the mudstone between the two gas-bearing layers of the parameter well (mud content greater than 70%) and the number of mudstone layers are counted.

[0097] Specifically, the sample factor parameters include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of the mudstone sample, and the cumulative thickness of the mudstone and the number of mudstone layers between two gas-bearing layers of the parameter well;

[0098] The factor parameters of all wells in the block to be evaluated include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of mudstone in all wells in the block to be evaluated, and cumulative thickness and number of mudstone layers between two gas-bearing layers in each well in the block to be evaluated.

[0099] This embodiment, based on a comprehensive study of seven main controlling factors affecting mudstone sealing, accurately and quantitatively evaluates the sealing performance of mudstone, providing a geological basis for the optimization of exploration blocks and the search for favorable natural gas enrichment areas.

[0100] Specifically, the step S3 of calculating the weight values ​​of the single sample factor parameters respectively includes:

[0101] S31 calculates the average of single sample factor parameters respectively and standard deviation V i ;

[0102] S32 is based on the average of the single sample factor parameters and standard deviation V i , calculate the coefficient of variation D of the single sample factor parameters respectively i ;

[0103] S33 Based on the coefficient of variation D of the single sample factor parameter i The sum of the coefficients of variation of all sample factor parameters is used to obtain the weight value M of the single sample factor parameter. i .

[0104] For example, the seven control factor data of breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient, cumulative thickness of mudstone, and number of mudstone layers collected by statistics are used to calculate the average of the seven factor parameter data. and standard deviation V i ;

[0105] According to the average of the single factor parameters obtained and standard deviation V i , using the average of each single factor parameter Divide by its standard deviation V i Get the quotient, the coefficient of variation D for each single factor parameter i ;

[0106] Using the coefficient of variation D of each single factor parameter i Divide by the sum of the coefficients of variation of the seven factor parameters to obtain the weight value M of each single factor parameter i .

[0107] Specifically, the average of the single sample factor parameters and standard deviation V i The calculation formulas are:

[0108]

[0109]

[0110] In the formula, n represents the number of single sample factors; f i Represents the single sample factor parameter; i represents the single sample factor number.

[0111] Specifically, the coefficient of variation D of the single sample factor parameter i The calculation formula is:

[0112]

[0113] In the formula, f i represents the single sample factor parameter; i represents the single sample factor number; p represents the value of i; Represents the average of the single sample factor parameters; V i Represents the standard deviation of the single-sample factor parameter.

[0114] Specifically, the weight value M of the single sample factor parameter i The calculation formula is:

[0115]

[0116] Where D iIt represents the coefficient of variation of the single sample factor parameter; i represents the single sample factor number; p represents the value of i.

[0117] Specifically, the S4 calculates the mudstone sealing index T according to the factor parameters of all wells in the block to be evaluated and the weight values ​​of the single sample factor parameters, including:

[0118] S41 calculates the average value of the factor parameters of all wells in the block to be evaluated. The calculation formula is:

[0119]

[0120] In the formula, n′ represents the number of single factors of all wells in the block to be evaluated; f i ′ represents the single factor parameters of all wells in the block to be evaluated; i′ represents the single factor number of all wells in the block to be evaluated;

[0121] S42 is based on the average value of the factor parameters of all wells in the block to be evaluated. and the weight value M of the single sample factor parameter i , calculate the mudstone sealing index T, the calculation formula of the mudstone sealing index T is:

[0122]

[0123] Where M1 represents the weight value of the first sample factor parameter; M2 represents the weight value of the second sample factor parameter; n Represents the weight value of the nth sample factor parameter; It represents the average value of the first factor parameter of all wells in the block to be evaluated; represents the average value of the second factor parameter of all wells in the block to be evaluated; It represents the average value of the nth factor parameter of all wells in the block to be evaluated.

[0124] For example, the seven-factor parameter data of the research layer of all wells in the statistical block are used, and the weight values ​​of the seven main factors affecting the sealing property of mudstone are multiplied by the average values ​​of the seven-factor data of the mudstone samples of the wells to be evaluated, and then the sum is added to obtain the mudstone sealing index of the well. The mudstone sealing index T is calculated as follows: In the formula, Single factor average, n: number of single factor data, f i : Single factor data, T: Mudstone sealing index, M1: Breakthrough pressure weight value, Average value of breakthrough pressure, M2: weighted value of displacement pressure, Average displacement pressure, M3: porosity weight value, Porosity average value, M4: permeability weight value, Average value of permeability, M5: Diffusion coefficient weight value, Average diffusion coefficient, M6: Cumulative thickness weight of mudstone, The average value of the cumulative thickness of mudstone, M7: the weight value of the mudstone layer, Average number of mudstone layers.

[0125] It is worth noting that for wells without measured experimental data, well logging can be used to interpret data. Draw a contour map of mudstone sealing index in the study area. The larger the mudstone sealing index, the better the sealing performance, and the smaller the sealing index, the worse the sealing performance.

[0126] In summary, this embodiment can accurately perform quantitative evaluation on the sealing property of mudstone, thereby increasing the accuracy of identifying enriched gas reservoirs.

[0127] The following is a further explanation using a specific example of the Qian5th Member of the Shiqianfeng Formation in a certain area of ​​a certain basin:

[0128] like Figure 2 As shown, the 1005th segment of the area is covered by 1001-1004 mudstone, which is a relatively independent lithological trap without fracture communication. Mudstone is its main sealing function, and the gas reservoir migrates upward from the same gas source. The gas reservoir characteristics meet the research conditions of this embodiment. The theoretical method of this embodiment is now used to quantitatively evaluate the sealing property of its mudstone, including the following specific steps:

[0129] Step 1: Collect 52 parameter wells with experimental data in this section, at least one parameter well is collected for every 10 square kilometers. The experimental data include breakthrough pressure, displacement pressure, porosity, permeability, and diffusion coefficient of mudstone samples between two gas-bearing layers. Statistic the cumulative thickness of mudstone (mud content greater than 70%) and the number of mudstone layers between two gas-bearing layers of each parameter well.

[0130] Step 2: Utilize step 1 to collect data on seven factors: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient, cumulative thickness of mudstone, and number of mudstone layers, and calculate the average of these seven parameter data. and standard deviation V i , calculate the average As shown in formula (1), calculate the standard deviation V i As shown in formula (2)

[0131]

[0132]

[0133] Single factor average, n: number of single factor data, f i : Single factor data, V i : One-way standard deviation.

[0134] Step 3: The average of the single factor parameters obtained in step 2 and standard deviation V i , using the average of each single factor parameter Divide by its standard deviation V i Get the quotient, the coefficient of variation D for each single factor parameter i , calculate the coefficient of variation D i As shown in formula (3):

[0135]

[0136] D i : Coefficient of variation of single factor parameter, V i : Standard deviation of single factor parameter. Single factor parameter average.

[0137] Step 4: Based on the calculation results of step 3, use the coefficient of variation D of each single factor parameter i Divide by the sum of the coefficients of variation of the seven factor parameters to obtain the weight value M of each single factor parameter i , the weight of each single factor parameter M i As shown in formula (4):

[0138]

[0139] M i : Weight value of single factor parameter, D i : Coefficient of variation of single factor parameter.

[0140] Step 5: Use step 4 to calculate the weight values ​​of the seven factors a (0.149), b (0.101), c (0.189), d (0.190), e (0.176), f (0.096), and g (0.099), and multiply them by the average values ​​of the seven single-factor data of the mudstone samples of the wells to be evaluated, and then add them together to get the mudstone sealing index of the well. For wells without measured experimental data, the well logging interpretation data can be used. The average values ​​of the factor parameters are calculated as shown in formula (5), and the mudstone sealing index T is calculated as shown in formula (6):

[0141]

[0142]

[0143] Single factor average, n: number of single factor data, f i : Single factor data, T: Mudstone sealing index, M1: Breakthrough pressure weight value, Average value of breakthrough pressure, M2: weighted value of displacement pressure, Average displacement pressure, M3: porosity weight value, Porosity average value, M4: permeability weight value, Average value of permeability, M5: Diffusion coefficient weight value, Average diffusion coefficient, M6: Cumulative thickness weight of mudstone, The average value of the cumulative thickness of mudstone, M7: the weight value of the mudstone layer, Average number of mudstone layers.

[0144] The mudstone sealing index of all wells in the block (540 wells) was calculated according to the calculation formula, and the contour map of mudstone sealing index from 1000 to 4000 was drawn (such as Figure 3 As shown in the figure, the calculation results of the sealing index of the 1000-4000 mudstone are approximately between 20-50, where the sealing index is greater than 40, the mudstone has good sealing property; the sealing index is between 30-40, the mudstone has average sealing property; the sealing index is less than 30, the mudstone has poor sealing property.

[0145] Figure 4 is a block diagram of a mudstone sealing quantitative evaluation system of the exemplary embodiment, such as Figure 4 As shown, an exemplary embodiment of the present disclosure provides a mudstone sealing quantitative evaluation system, comprising:

[0146] A determination unit 10, used to determine a sample parameter well;

[0147] An acquisition unit 20 is used to acquire sample factor parameters affecting mudstone sealing properties of the sample parameter well and factor parameters of all wells in the block to be evaluated;

[0148] A first calculation unit 30, used to calculate the weight value of a single sample factor parameter;

[0149] The second calculation unit 40 is used to calculate the mudstone sealing index T according to the factor parameters of all wells in the block to be evaluated and the weight value of the single sample factor parameter;

[0150] The evaluation unit 50 is used to evaluate the mudstone sealing properties of all wells in the block to be evaluated according to the mudstone sealing index T.

[0151] Specifically, the determining unit 10 includes:

[0152] A determination module is used to determine a gas reservoir that meets the target conditions, wherein the gas reservoir that meets the target conditions is an independent lithological trap, has no fracture communication, has a mudstone isolation ratio exceeding R%, and has the same gas source migrating upward;

[0153] The selection module is used to select a sample parameter well that meets the set conditions at a set distance in a gas reservoir that meets the target conditions. The parameter well that meets the set conditions is a parameter well with mudstone measured experimental data.

[0154] Specifically, the sample factor parameters include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of the mudstone sample, and the cumulative thickness of the mudstone and the number of mudstone layers between two gas-bearing layers of the parameter well;

[0155] The factor parameters of all wells in the block to be evaluated include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of mudstone in all wells in the block to be evaluated, and cumulative thickness and number of mudstone layers between two gas-bearing layers in each well in the block to be evaluated.

[0156] Specifically, the first calculation unit 30 includes:

[0157] The first calculation module is used to calculate the average of single sample factor parameters and standard deviation V i ;

[0158] The second calculation module is used to calculate the average of the single sample factor parameters and standard deviation V i , calculate the coefficient of variation D of the single sample factor parameter i ;

[0159] The third calculation module is used to calculate the coefficient of variation D of the single sample factor parameter. i The sum of the coefficients of variation of all sample factor parameters is used to obtain the weight value M of the single sample factor parameter. i .

[0160] Specifically, the average of the single sample factor parameters and standard deviation V i The calculation formulas are:

[0161]

[0162]

[0163] In the formula, n represents the number of single sample factors; f i Represents the single sample factor parameter; i represents the single sample factor number.

[0164] Specifically, the coefficient of variation D of the single sample factor parameter i The calculation formula is:

[0165]

[0166] In the formula, f i represents the single sample factor parameter; i represents the single sample factor number; p represents the value of i; Represents the average of the single sample factor parameters; V i Represents the standard deviation of the single-sample factor parameter.

[0167] Specifically, the weight value M of the single sample factor parameter is i The calculation formula is:

[0168]

[0169] Where D i It represents the coefficient of variation of the single sample factor parameter; i represents the single sample factor number; p represents the value of i.

[0170] Specifically, the second calculation unit 40 includes:

[0171] The fourth calculation module is used to calculate the average value of the factor parameters of all wells in the block to be evaluated. The calculation formula is:

[0172]

[0173] In the formula, n′ represents the number of single factors of all wells in the block to be evaluated; f i ′ represents the single factor parameters of all wells in the block to be evaluated; i′ represents the single factor number of all wells in the block to be evaluated;

[0174] The fifth calculation module is used to calculate the average value of the factor parameters of all wells in the block to be evaluated. and the weight value M of the single sample factor parameter i , calculate the mudstone sealing index T, the calculation formula of the mudstone sealing index T is:

[0175]

[0176] Where M1 represents the weight value of the first sample factor parameter; M2 represents the weight value of the second sample factor parameter; n Represents the weight value of the nth sample factor parameter; It represents the average value of the first factor parameter of all wells in the block to be evaluated; represents the average value of the second factor parameter of all wells in the block to be evaluated; It represents the average value of the nth factor parameter of all wells in the block to be evaluated.

[0177] Figure 5 Schematic diagram of the structure of a mudstone sealing quantitative evaluation device of the exemplary embodiment. Figure 5As shown, corresponding to the above-mentioned method for quantitatively evaluating the sealing property of mudstone, the present invention also provides a device for quantitatively evaluating the sealing property of mudstone. Since the embodiment of the device is similar to the above-mentioned method embodiment, the description is relatively simple. For relevant parts, please refer to the description of the above-mentioned method embodiment. The device described below is only schematic. The device may include: a processor 1, a memory 2, a communication bus (i.e., the above-mentioned device bus) and a search engine, wherein the processor 1 and the memory 2 communicate with each other through the communication bus and communicate with the outside through the communication interface. The processor 1 can call the logic instructions in the memory 2 to execute the method for quantitatively evaluating the sealing property of mudstone.

[0178] In addition, the logic instructions in the above-mentioned memory 2 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable 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 methods of each embodiment of the present invention. The aforementioned storage medium includes: a storage chip, a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes.

[0179] On the other hand, an embodiment of the present invention further provides a processor-readable storage medium, on which a computer program 3 is stored. When the computer program 3 is executed by the processor 1, the method for quantitatively evaluating the sealing property of mudstone provided in the above embodiments is implemented.

[0180] The processor-readable storage medium can be any available medium or data storage device that can be accessed by the processor 1, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NANDFLASH), solid-state drive (SSD)), etc.

[0181] The above are only preferred implementations of the present disclosure, and the protection scope of the present disclosure is not limited to the above embodiments. All technical solutions under the concept of the present disclosure belong to the protection scope of the present disclosure. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present disclosure should be regarded as the protection scope of the present disclosure.

Claims

1. A method for quantitatively evaluating the sealing property of mudstone, characterized in that: include: Determine sample parameter wells; Obtain sample factor parameters affecting mudstone sealing of sample parameter wells and factor parameters of all wells in the block to be evaluated; Calculate the weight values ​​of single sample factor parameters respectively; The mudstone sealing index T is calculated according to the factor parameters of all wells in the block to be evaluated and the weight values ​​of the single sample factor parameters; The mudstone sealing index T is used to evaluate the mudstone sealing properties of all wells in the block to be evaluated.

2. The method for quantitatively evaluating the sealing property of mudstone according to claim 1, characterized in that: Determining sample parameters well includes: Determine a gas reservoir that meets the target conditions, wherein the gas reservoir that meets the target conditions is an independent lithological trap, has no fracture communication, has a mudstone isolation ratio exceeding R%, and has the same gas source migrating upward; In the gas reservoirs meeting the target conditions, a sample parameter well meeting the set conditions is selected at every set distance, and the parameter well meeting the set conditions is a parameter well having actual measured experimental data of mudstone.

3. The method for quantitatively evaluating the sealing property of mudstone according to claim 1 or 2, characterized in that: The sample factor parameters include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of the mudstone sample, and the cumulative thickness and number of mudstone layers between two gas-bearing layers of the parameter well; The factor parameters of all wells in the block to be evaluated include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of mudstone in all wells in the block to be evaluated, and cumulative thickness and number of mudstone layers between two gas-bearing layers in each well in the block to be evaluated.

4. The method for quantitatively evaluating the sealing property of mudstone according to claim 3, characterized in that: The step of calculating the weight values ​​of the single sample factor parameters respectively includes: Calculate the average of the single sample factor parameters separately and standard deviation V i ; Based on the average of the single sample factor parameters and standard deviation V i , calculate the coefficient of variation D of the single sample factor parameters respectively i ; According to the coefficient of variation D of the single sample factor parameter i The sum of the coefficients of variation of all sample factor parameters is used to obtain the weight value M of the single sample factor parameter. i .

5. The method for quantitatively evaluating the sealing property of mudstone according to claim 4, characterized in that: The average of the single sample factor parameters and standard deviation V i The calculation formulas are: In the formula, n represents the number of single sample factors; f i Represents the single sample factor parameter; i represents the single sample factor number.

6. The method for quantitatively evaluating the sealing property of mudstone according to claim 5, characterized in that: The coefficient of variation D of the single sample factor parameter i The calculation formula is: In the formula, f i represents the single sample factor parameter; i represents the single sample factor number; p represents the value of i; Represents the average of the single sample factor parameters; V i Represents the standard deviation of the single-sample factor parameter.

7. The method for quantitatively evaluating the sealing property of mudstone according to claim 6, characterized in that: The weight value M of the single sample factor parameter i The calculation formula is: Where D i It represents the coefficient of variation of the single sample factor parameter; i represents the single sample factor number; p represents the value of i.

8. The method for quantitatively evaluating the sealing property of mudstone according to claim 7, characterized in that: The calculation of the mudstone sealing index T according to the factor parameters of all wells in the block to be evaluated and the weight values ​​of the single sample factor parameters includes: Calculate the average value of the factor parameters of all wells in the block to be evaluated. The calculation formula is: In the formula, n′ represents the number of single factors of all wells in the block to be evaluated; f i ′ represents the single factor parameters of all wells in the block to be evaluated; i′ represents the single factor number of all wells in the block to be evaluated; According to the average value of the factor parameters of all wells in the block to be evaluated and the weight value M of the single sample factor parameter i , calculate the mudstone sealing index T, the calculation formula of the mudstone sealing index T is: Where M1 represents the weight value of the first sample factor parameter; M2 represents the weight value of the second sample factor parameter; n Represents the weight value of the nth sample factor parameter; It represents the average value of the first factor parameter of all wells in the block to be evaluated; represents the average value of the second factor parameter of all wells in the block to be evaluated; It represents the average value of the nth factor parameter of all wells in the block to be evaluated.

9. A quantitative evaluation system for mudstone sealing, characterized in that: include: A determination unit, used for determining a sample parameter well; An acquisition unit, used to acquire sample factor parameters affecting mudstone sealing properties of the sample parameter well and factor parameters of all wells in the block to be evaluated; A first calculation unit, used to calculate the weight value of a single sample factor parameter; The second calculation unit is used to calculate the mudstone sealing index T according to the factor parameters of all wells in the block to be evaluated and the weight value of the single sample factor parameter; The evaluation unit is used to evaluate the mudstone sealing properties of all wells in the evaluation block according to the mudstone sealing index T.

10. The mudstone sealing quantitative evaluation system according to claim 9, characterized in that: The determining unit comprises: A determination module is used to determine a gas reservoir that meets the target conditions, wherein the gas reservoir that meets the target conditions is an independent lithological trap, has no fracture communication, has a mudstone isolation ratio exceeding R%, and has the same gas source migrating upward; The selection module is used to select a sample parameter well that meets the set conditions at a set distance in a gas reservoir that meets the target conditions. The parameter well that meets the set conditions is a parameter well with mudstone measured experimental data.

11. The mudstone sealing quantitative evaluation system according to claim 9 or 10, characterized in that: The sample factor parameters include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of the mudstone sample, and the cumulative thickness and number of mudstone layers between two gas-bearing layers of the parameter well; The factor parameters of all wells in the block to be evaluated include: breakthrough pressure, displacement pressure, porosity, permeability, diffusion coefficient of mudstone in all wells in the block to be evaluated, and cumulative thickness and number of mudstone layers between two gas-bearing layers in each well in the block to be evaluated.

12. The mudstone sealing quantitative evaluation system according to claim 11, characterized in that: The first computing unit comprises: The first calculation module is used to calculate the average of single sample factor parameters and standard deviation V i ; The second calculation module is used to calculate the average of the single sample factor parameters and standard deviation V i , calculate the coefficient of variation D of the single sample factor parameter i ; The third calculation module is used to calculate the coefficient of variation D of the single sample factor parameter. i The sum of the coefficients of variation of all sample factor parameters is used to obtain the weight value M of the single sample factor parameter. i .

13. The mudstone sealing quantitative evaluation system according to claim 12, characterized in that: The average of the single sample factor parameters and standard deviation V i The calculation formulas are: In the formula, n represents the number of single sample factors; f i Represents the single sample factor parameter; i represents the single sample factor number.

14. The mudstone sealing quantitative evaluation system according to claim 13, characterized in that: The coefficient of variation D of the single sample factor parameter i The calculation formula is: In the formula, f i represents the single sample factor parameter; i represents the single sample factor number; p represents the value of i; Represents the average of the single sample factor parameters; V i Represents the standard deviation of the single-sample factor parameter.

15. The mudstone sealing quantitative evaluation system according to claim 14, characterized in that: The weight value M of the single sample factor parameter i The calculation formula is: Where D i It represents the coefficient of variation of the single sample factor parameter; i represents the single sample factor number; p represents the value of i.

16. The mudstone sealing quantitative evaluation system according to claim 15, characterized in that: The second computing unit comprises: The fourth calculation module is used to calculate the average value of the factor parameters of all wells in the block to be evaluated. The calculation formula is: In the formula, n′ represents the number of single factors of all wells in the block to be evaluated; f i ′ represents the single factor parameters of all wells in the block to be evaluated; i′ represents the single factor number of all wells in the block to be evaluated; The fifth calculation module is used to calculate the average value of the factor parameters of all wells in the block to be evaluated. and the weight value M of the single sample factor parameter i , calculate the mudstone sealing index T, the calculation formula of the mudstone sealing index T is: Where M1 represents the weight value of the first sample factor parameter; M2 represents the weight value of the second sample factor parameter; n Represents the weight value of the nth sample factor parameter; It represents the average value of the first factor parameter of all wells in the block to be evaluated; represents the average value of the second factor parameter of all wells in the block to be evaluated; It represents the average value of the nth factor parameter of all wells in the block to be evaluated.

17. A quantitative evaluation device for mudstone sealing, characterized in that: include: Processor and memory; The memory is used to store a computer program, and the processor calls the computer program stored in the memory to execute the method for quantitatively evaluating the sealing property of mudstone according to any one of claims 1 to 8.

18. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor is enabled to execute the method for quantitatively evaluating the sealing property of mudstone according to any one of claims 1 to 8.

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