Method and device for determining well logging permeability of tight sandstone, electronic equipment and computer readable storage medium

Abstract

The invention belongs to the field of rock physics research, and relates to a tight sandstone well logging permeability determination method and device, electronic equipment and a computer readable storage medium. Comprising the following steps: acquiring permeability test data and porosity test data of a core sample in a target area; obtaining a relational graph of different porosity test data and density; performing linear fitting to obtain a porosity calculation formula: P =-33.218 D + 88.431; applying the porosity calculation formula to porosity calculation of the target horizon to obtain a porosity curve of the target horizon; obtaining a relational graph of different permeability test data and porosity test data; performing linear fitting to obtain a permeability calculation formula: PER = 0.0148 e < 0.427 > P; and based on the porosity curve, performing permeability calculation by utilizing a permeability calculation formula to obtain a permeability curve. The flow method is simple, the stratum permeability value of the well can be better simulated and calculated, and meanwhile the problems of complexity and multi-parameter and multi-solution of porosity and permeability prediction through a rock physical model are solved.

Description

Technical Field

[0001] The present invention belongs to the field of rock physics research, and in particular, relates to a method and device for determining the permeability of tight sandstone logging, an electronic device and a computer-readable storage medium. Background Art

[0002] The physical properties of reservoir rocks have always been a hot topic in seismic exploration. The permeability of reservoir pore space is conducive to the migration and preservation of oil and gas, so the accurate evaluation and prediction of reservoir permeability in seismic exploration has always been a research focus. How to effectively predict and determine the permeability of reservoir rocks provides support for reservoir prediction and reservoir description.

[0003] Permeability is an important parameter required for oilfield development, but it is affected by many factors and difficult to model. There is no unified theoretical calculation model so far, especially for some reservoirs containing fractures. In practical applications, indirect methods are generally used to convert directly measured rock physical parameters into permeability. For example, conventional logging and imaging logging data are used to establish the relationship between permeability and parameters such as fracture porosity, fracture aperture and fracture density, and based on array acoustic wave data, permeability is calculated using Stoneley wave energy attenuation. These methods have many interpretation parameters and a high degree of manual intervention, so the calculation results are not accurate, and the calculation method is cumbersome. Guo Haifeng (2023) proposed using XGBoost+KNN as a dual prediction model to participate in the calculation of apparent effective permeability. The permeability is generally determined by laboratory measurement and the permeability parameters are inverted by rock physical model methods. Summary of the invention

[0004] Ordos has well-developed tight sand reservoirs with abundant oil and gas reserves. The logging permeability interpretation curve cannot accurately reflect the true permeability of the formation. The tight reservoir permeability parameter is an important parameter for reservoir description. Different sedimentary environments and diagenesis will form different permeabilities. There should be a permeability calculation method applicable to different regions and different lithologies. The most accurate way to obtain permeability is to test the core in the well. Therefore, the present invention proposes a logging permeability prediction method for the reservoir in the region based on the core test, which solves the problem of inaccurate permeability content calculated by conventional logging curves in the region.

[0005] In order to achieve the above object, the present invention provides a method for determining the permeability of tight sandstone well logging, comprising the following steps:

[0006] The first step is to obtain the permeability test data and porosity test data of the core samples in the target area;

[0007] The second step is to obtain the relationship diagram between different porosity test data and density and perform intersection analysis;

[0008] The third step is to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density;

[0009] The fourth step is to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer;

[0010] Step 5: Obtain the relationship diagram between different permeability test data and porosity test data and conduct intersection analysis;

[0011] Step 6: Based on the intersection analysis, linear fitting is performed to obtain the permeability calculation formula: PER = 0.0148e 0.427P , where PER-permeability, P-porosity;

[0012] Step 7. Based on the porosity curve in step 4, use the permeability calculation formula in step 6 to calculate the permeability and obtain the permeability curve.

[0013] Optionally, the linear correlation R between the porosity test data and density is 2 =0.9804.

[0014] Optionally, the linear correlation R between the permeability test data and the porosity test data 2 =0.68.

[0015] Optionally, in the first step, the porosity test data is tested using an overburden porosity instrument test.

[0016] Optionally, the first step also includes: pre-processing the core sample.

[0017] Optionally, the preprocessing comprises the following steps:

[0018] The core samples are formulated into specifications suitable for the overburden porosity instrument test, placed in a drying oven for drying, and after drying, placed in a vacuum drying environment to cool and stabilize.

[0019] Optionally, the core sample is a core sample of a dense sand reservoir.

[0020] Optionally, the target layer is a sandstone-mudstone layer.

[0021] A second aspect of the present invention provides a device for determining the permeability of tight sandstone well logging, comprising:

[0022] A porosity test data acquisition module is used to acquire porosity test data of core samples in a target area;

[0023] The porosity test data and density intersection analysis module is used to obtain the relationship diagram between different porosity test data and density and perform intersection analysis;

[0024] The porosity calculation formula acquisition module is used to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density;

[0025] A porosity curve acquisition module is used to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer;

[0026] The intersection analysis module of permeability test data and porosity test data is used to obtain the relationship diagram of different permeability test data and porosity test data and perform intersection analysis;

[0027] The permeability calculation formula acquisition module is used to obtain the permeability calculation formula based on the intersection analysis by linear fitting: PER = 0.0148e 0.427p , where PER-permeability, P-porosity;

[0028] The permeability curve acquisition module is used to calculate the permeability based on the porosity curve in the fourth step and the permeability calculation formula in the sixth step to obtain the permeability curve.

[0029] A third aspect of the present invention provides an electronic device, the electronic device comprising:

[0030] A memory storing executable instructions;

[0031] A processor runs the executable instructions in the memory to implement the method for determining the tight sandstone well logging permeability.

[0032] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which implements the method for determining the tight sandstone logging permeability when executed by a processor.

[0033] The process method of the present invention is simple, and the formula obtained based on core testing is more in line with the actual lithology for tight sandstone reservoirs, eliminating the errors caused by conventional logging porosity calculation methods and inaccurate logging permeability curves, and can better simulate and calculate the formation permeability value of the well. At the same time, it also solves the complexity and multi-parameter multi-solution problems of predicting porosity and permeability using rock physics models.

[0034] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The above and other objects, features and advantages of the present invention will become more apparent through a more detailed description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, wherein like reference numerals generally represent like components throughout the exemplary embodiments of the present invention.

[0036] Figure 1 A schematic flow chart of a method for predicting the permeability of tight sandstone logging according to an embodiment of the present invention is shown.

[0037] Figure 2 A cross plot of core porosity and density according to an embodiment of the present invention is shown.

[0038] Figure 3 A cross plot of core porosity and permeability according to an embodiment of the present invention is shown.

[0039] Figure 4 The figure shows the porosity curves obtained by different prediction methods, wherein: ① the porosity curve calculated by the formula of the present invention; ② the porosity curve calculated by the acoustic wave time difference; ③ the porosity of the well core analysis.

[0040] Figure 5 The permeability curves obtained by different prediction methods are shown, wherein ① the permeability curve calculated by the formula of the present invention; ② the permeability curve of well logging; ③ the permeability of well core analysis. DETAILED DESCRIPTION

[0041] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0042] In order to achieve the above object, the present invention provides a method for determining the permeability of tight sandstone well logging, comprising the following steps:

[0043] The first step is to obtain the permeability test data and porosity test data of the core samples in the target area;

[0044] The second step is to obtain the relationship diagram between different porosity test data and density and perform intersection analysis;

[0045] The third step is to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density;

[0046] The fourth step is to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer;

[0047] Step 5: Obtain the relationship diagram between different permeability test data and porosity test data and conduct intersection analysis;

[0048] Step 6: Based on the intersection analysis, linear fitting is performed to obtain the permeability calculation formula: PER = 0.0148e 0.427p , where PER-permeability, P-porosity;

[0049] Step 7. Based on the porosity curve in step 4, use the permeability calculation formula in step 6 to calculate the permeability and obtain the permeability curve.

[0050] The evaluation and prediction of permeability are crucial in seismic reservoir prediction, especially in low-porosity and low-permeability reservoirs. Accurately predicting the permeability in physical property-controlled rich formations means accurately obtaining oil and gas-bearing areas. However, the actual method of obtaining permeability from logging data often cannot accurately and effectively estimate the permeability, and often cannot accurately describe the formation reservoir. At the same time, there should be applicable permeability calculation methods for different regions and different lithologies, and the most accurate way to obtain permeability is to test the core in the well. Therefore, the present invention proposes a logging permeability prediction method for the tight sandstone reservoir in the Ordos Basin based on core testing, which solves the problem of inaccurate permeability curves in conventional logging analysis in the logging data in the region, and provides a simpler, more economical and effective way to calculate the logging permeability.

[0051] The present invention is used to measure the porosity and permeability of dense cores in actual wells. By analyzing the relationship between the porosity and density of the cores, a calculation formula for the porosity of dense sandstone in the area is firstly given, and then a calculation formula for the permeability is given based on the cores. Figure 2 What is given is the intersection of the relationship between core test porosity and density. The porosity calculation formula obtained through core intersection is applied to the porosity prediction in the well. The figure shows the intersection diagram of the relationship between core test permeability and porosity. The permeability calculation formula obtained through core intersection fitting analysis is applied to the prediction of well logging permeability.

[0052] Optionally, the linear correlation R between the porosity test data and density is 2 =0.9804.

[0053] Optionally, the linear correlation R between the permeability test data and the porosity test data 2 =0.68.

[0054] Optionally, in the first step, the porosity test data is tested using an overburden porosity instrument test.

[0055] Optionally, the first step also includes: pre-processing the core sample.

[0056] Optionally, the preprocessing comprises the following steps:

[0057] The core samples are formulated into specifications suitable for the overburden porosity instrument test, placed in a drying oven for drying, and after drying, placed in a vacuum drying environment to cool and stabilize.

[0058] Optionally, the core sample is a core sample of a dense sand reservoir.

[0059] Optionally, the target layer is a sandstone-mudstone layer.

[0060] A second aspect of the present invention provides a device for determining the permeability of tight sandstone well logging, comprising:

[0061] A porosity test data acquisition module is used to acquire porosity test data of core samples in a target area;

[0062] The porosity test data and density intersection analysis module is used to obtain the relationship diagram between different porosity test data and density and perform intersection analysis;

[0063] The porosity calculation formula acquisition module is used to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density;

[0064] A porosity curve acquisition module is used to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer;

[0065] The intersection analysis module of permeability test data and porosity test data is used to obtain the relationship diagram of different permeability test data and porosity test data and perform intersection analysis;

[0066] The permeability calculation formula acquisition module is used to obtain the permeability calculation formula based on the intersection analysis by linear fitting: PER = 0.0148e 0.427P , where PER-permeability, P-porosity;

[0067] The permeability curve acquisition module is used to calculate the permeability based on the porosity curve in the fourth step and the permeability calculation formula in the sixth step to obtain the permeability curve.

[0068] A third aspect of the present invention provides an electronic device, the electronic device comprising:

[0069] A memory storing executable instructions;

[0070] A processor runs the executable instructions in the memory to implement the method for determining the tight sandstone well logging permeability.

[0071] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which implements the method for determining the tight sandstone logging permeability when executed by a processor.

[0072] Example 1

[0073] This embodiment provides a method for determining the permeability of tight sandstone logging, comprising the following steps:

[0074] The first step is to obtain the permeability test data and porosity test data of the core samples in the target area;

[0075] The second step is to obtain the relationship diagram between different porosity test data and density and perform intersection analysis;

[0076] The third step is to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density;

[0077] The fourth step is to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer;

[0078] Step 5: Obtain the relationship diagram between different permeability test data and porosity test data and conduct intersection analysis;

[0079] Step 6: Based on the intersection analysis, linear fitting is performed to obtain the permeability calculation formula: PER = 0.0148e 0.427P , where PER-permeability, P-porosity;

[0080] Step 7. Based on the porosity curve in step 4, use the permeability calculation formula in step 6 to calculate the permeability and obtain the permeability curve.

[0081] Figure 2 The relationship between core test porosity and density is given, and the porosity calculation formula obtained through core test intersection is applied to the porosity prediction in the well.

[0082] According to an embodiment of the present invention, the linear correlation R between the porosity test data and the density 2 =0.9804.

[0083] Figure 3 The relationship between core test permeability and porosity is given in the cross-plot. The permeability calculation formula obtained through core cross-plot fitting analysis is applied to the prediction of well logging permeability.

[0084] According to an embodiment of the present invention, the linear correlation R between the permeability test data and the porosity test data is 2 =0.68.

[0085] According to an embodiment of the present invention, in the first step, the porosity test data is tested using an overburden porosity instrument test.

[0086] According to an embodiment of the present invention, the first step further includes: pre-processing the core sample.

[0087] According to an embodiment of the present invention, the preprocessing comprises the following steps:

[0088] The core samples are formulated into specifications suitable for the overburden porosity instrument test, placed in a drying oven for drying, and after drying, placed in a vacuum drying environment to cool and stabilize.

[0089] According to an embodiment of the present invention, the core sample is a core sample of a dense sand reservoir.

[0090] According to an embodiment of the present invention, the target layer is a sandstone-mudstone layer.

[0091] According to the method of this embodiment, the formula obtained based on core testing is more in line with the actual lithology for tight sandstone reservoirs, eliminating the errors caused by the conventional logging porosity calculation method and the inaccuracy of the logging permeability curve, and can better simulate and calculate the formation permeability value of the well. At the same time, it also solves the complexity and multi-parameter multi-solution problems of using rock physics models to predict porosity and permeability.

[0092] Example 2

[0093] This embodiment provides a device for determining the permeability of tight sandstone logging, comprising:

[0094] A porosity test data acquisition module is used to acquire porosity test data of core samples in a target area;

[0095] The porosity test data and density intersection analysis module is used to obtain the relationship diagram between different porosity test data and density and perform intersection analysis;

[0096] The porosity calculation formula acquisition module is used to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density;

[0097] A porosity curve acquisition module is used to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer;

[0098] The intersection analysis module of permeability test data and porosity test data is used to obtain the relationship diagram of different permeability test data and porosity test data and perform intersection analysis;

[0099] The permeability calculation formula acquisition module is used to obtain the permeability calculation formula based on the intersection analysis by linear fitting: PER = 0.0148e 0.427P , where PER-permeability, P-porosity;

[0100] The permeability curve acquisition module is used to calculate the permeability based on the porosity curve in the fourth step and the permeability calculation formula in the sixth step to obtain the permeability curve.

[0101] In some embodiments, the linear correlation R between the porosity test data and the density is 2 =0.9804.

[0102] In some embodiments, the linear correlation R between the permeability test data and the porosity test data is 2 =0.68.

[0103] In some embodiments, the porosity test data is tested using an overburden porosity instrument test.

[0104] In some embodiments, the method further includes: pre-processing the core sample.

[0105] In some embodiments, the pretreatment comprises the following steps:

[0106] The core samples are formulated into specifications suitable for the overburden porosity instrument test, placed in a drying oven for drying, and after drying, placed in a vacuum drying environment to cool and stabilize.

[0107] In some embodiments, the core sample is a core sample of a tight sand reservoir.

[0108] In some embodiments, the target horizon is a sandstone-mudstone layer.

[0109] According to the device of this embodiment, the formula obtained based on core testing is more in line with the actual lithology for tight sandstone reservoirs, eliminating the errors caused by the conventional logging porosity calculation method and the inaccuracy of the logging permeability curve, and can better simulate and calculate the formation permeability value of the well. At the same time, it also solves the complexity and multi-parameter multi-solution problems of using rock physics models to predict porosity and permeability.

[0110] For other detailed descriptions and advantages of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0111] Example 3

[0112] This embodiment provides an electronic device, including a memory and a processor.

[0113] A memory storing executable instructions;

[0114] The processor runs the executable instructions in the memory to implement a method for determining the permeability of tight sandstone logging.

[0115] The method for determining the tight sandstone logging permeability shown includes the following steps:

[0116] The first step is to obtain the permeability test data and porosity test data of the core samples in the target area;

[0117] The second step is to obtain the relationship diagram between different porosity test data and density and perform intersection analysis;

[0118] The third step is to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density;

[0119] The fourth step is to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer;

[0120] Step 5: Obtain the relationship diagram between different permeability test data and porosity test data and conduct intersection analysis;

[0121] Step 6: Based on the intersection analysis, linear fitting is performed to obtain the permeability calculation formula: PER = 0.0148e 0.427P , where PER-permeability, P-porosity;

[0122] Step 7. Based on the porosity curve in step 4, use the permeability calculation formula in step 6 to calculate the permeability and obtain the permeability curve.

[0123] In some embodiments, the linear correlation R between the porosity test data and the density is 2 =0.9804.

[0124] In some embodiments, the linear correlation R between the permeability test data and the porosity test data is 2 =0.68.

[0125] In some embodiments, the porosity test data is tested using an overburden porosity instrument test.

[0126] In some embodiments, the method further includes: pre-processing the core sample.

[0127] In some embodiments, the pretreatment comprises the following steps:

[0128] The core samples are formulated into specifications suitable for the overburden porosity instrument test, placed in a drying oven for drying, and after drying, placed in a vacuum drying environment to cool and stabilize.

[0129] In some embodiments, the core sample is a core sample of a tight sand reservoir.

[0130] In some embodiments, the target horizon is a sandstone-mudstone layer.

[0131] 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 include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc.

[0132] The processor may be a central processing unit (CPU) or other forms of processing units 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 the present invention, the processor is used to run the computer-readable instructions stored in the memory.

[0133] According to the electronic equipment of this embodiment, the formula obtained based on core testing is more in line with the actual lithology for tight sandstone reservoirs, eliminating the errors caused by the conventional logging porosity calculation method and the inaccuracy of the logging permeability curve, and can better simulate and calculate the formation permeability value of the well. At the same time, it also solves the complexity and multi-parameter and multi-solution problems of using rock physics models to predict porosity and permeability.

[0134] For other detailed descriptions and advantages of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0135] Example 4

[0136] This embodiment provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, a method for determining the permeability of tight sandstone logging is implemented.

[0137] The method for determining the tight sandstone logging permeability shown includes the following steps:

[0138] The first step is to obtain the permeability test data and porosity test data of the core samples in the target area;

[0139] The second step is to obtain the relationship diagram between different porosity test data and density and perform intersection analysis;

[0140] The third step is to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density;

[0141] The fourth step is to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer;

[0142] Step 5: Obtain the relationship diagram between different permeability test data and porosity test data and conduct intersection analysis;

[0143] Step 6: Based on the intersection analysis, linear fitting is performed to obtain the permeability calculation formula: PER = 0.0148e 0.427P , where PER-permeability, P-porosity;

[0144] Step 7. Based on the porosity curve in step 4, use the permeability calculation formula in step 6 to calculate the permeability and obtain the permeability curve.

[0145] In some embodiments, the linear correlation R between the porosity test data and the density is 2 =0.9804.

[0146] In some embodiments, the linear correlation R between the permeability test data and the porosity test data is 2 =0.68.

[0147] In some embodiments, the porosity test data is tested using an overburden porosity instrument test.

[0148] In some embodiments, the method further includes: pre-processing the core sample.

[0149] In some embodiments, the pretreatment comprises the following steps:

[0150] The core samples are formulated into specifications suitable for the overburden porosity instrument test, placed in a drying oven for drying, and after drying, placed in a vacuum drying environment to cool and stabilize.

[0151] In some embodiments, the core sample is a core sample of a tight sand reservoir.

[0152] In some embodiments, the target horizon is a sandstone-mudstone layer.

[0153] The computer-readable storage medium according to the embodiment of the present invention stores non-transitory computer-readable instructions, and when the non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the above-mentioned methods of the embodiments of the present invention are executed.

[0154] The above-mentioned 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 tapes or mobile hard disks), media with built-in rewritable non-volatile memory (e.g., memory cards), and media with built-in ROM (e.g., ROM boxes).

[0155] Those skilled in the art should be able to understand that in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus and an interface, and these well-known structures should also be included in the protection scope of the present invention.

[0156] According to the computer-readable storage medium of this embodiment, the formula obtained based on core testing is more in line with the actual lithology for tight sandstone reservoirs, eliminating the errors caused by the conventional logging porosity calculation method and the inaccuracy of the logging permeability curve, and can better simulate and calculate the formation permeability value of the well. At the same time, it also solves the complexity and multi-parameter multi-solution problems of predicting porosity and permeability using rock physics models.

[0157] For other detailed descriptions and advantages of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0158] Example 5

[0159] In order to verify the effect of the method for determining the permeability of tight sandstone by well logging of the present invention, the reservoir permeability prediction of Well A in the formation in the region was carried out using the method proposed by the present invention.

[0160] Figure 3 The symbol ① is the porosity curve calculated by the formula of the present invention, ② is the porosity curve calculated by the acoustic wave time difference, and ③ is the porosity of the well core analysis. Figure 4 Marked ① is the permeability curve calculated by the formula of the present invention, ② is the original logging permeability curve, and ③ is the permeability of the well core analysis. It can be seen from the figure that the permeability calculated by the formula of the present invention and the permeability change trend of the well core analysis with depth are more consistent than the original permeability curve, and can effectively characterize the change trend of the medium and low permeability areas. The process method of the present invention is simple, and the formula obtained based on core testing is more in line with the actual lithology for tight sandstone reservoirs, eliminating the errors caused by the conventional logging porosity calculation method and the inaccuracy of the logging permeability curve, and can better simulate and calculate the formation permeability value of the well, and also solves the complexity and multi-parameter multi-solution problems of predicting porosity and permeability using rock physics models.

[0161] For other detailed descriptions of this exemplary embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0162] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein are selected to best explain the principles of the embodiments, practical applications, or technical improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method for determining the permeability of tight sandstone logging. It is characterized in that The steps include: The first step is to obtain the permeability test data and porosity test data of the core samples in the target area; The second step is to obtain the relationship diagram between different porosity test data and density and perform intersection analysis; The third step is to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density; The fourth step is to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer; Step 5: Obtain the relationship diagram between different permeability test data and porosity test data and conduct intersection analysis; Step 6: Based on the intersection analysis, linear fitting is performed to obtain the permeability calculation formula: PER = 0.0148e 0.427P , where PER-permeability, P-porosity; Step 7. Based on the porosity curve in step 4, the permeability calculation formula in step 6 is used to calculate the permeability to obtain the permeability curve.

2. The method for determining the permeability of tight sandstone logging according to claim 1, in, The linear correlation between the porosity test data and density R 2 =0.9804.

3. The method for determining the permeability of tight sandstone logging according to claim 1, in, Linear correlation R between permeability test data and porosity test data 2 =0.

68.

4. The method for determining the permeability of tight sandstone logging according to claim 1, in, In the first step, the porosity test data is tested using a pressure-based porosity instrument.

5. The method for determining the tight sandstone well logging permeability according to claim 4, in, The first step also includes: pre-processing the core sample.

6. The method for determining the tight sandstone well logging permeability according to claim 5, in, The pre-processing comprises the following steps: The core samples are formulated into specifications suitable for the overburden porosity instrument test, placed in a drying oven for drying, and after drying, placed in a vacuum drying environment to cool and stabilize.

7. The method for determining the tight sandstone well logging permeability according to claim 1, in, The core sample is a core sample of a tight sand reservoir; The target layer is a sandstone-mudstone layer.

8. A device for determining the permeability of dense sandstone logging, It is characterized in that include: A porosity test data acquisition module is used to acquire porosity test data of core samples in a target area; The porosity test data and density intersection analysis module is used to obtain the relationship diagram between different porosity test data and density and perform intersection analysis; The porosity calculation formula acquisition module is used to obtain the porosity calculation formula by linear fitting based on intersection analysis: P = -33.218D + 88.431, where P is porosity and D is density; A porosity curve acquisition module is used to apply the porosity calculation formula to the porosity calculation of the target layer to obtain the porosity curve of the target layer; The intersection analysis module of permeability test data and porosity test data is used to obtain the relationship diagram of different permeability test data and porosity test data and perform intersection analysis; The permeability calculation formula acquisition module is used to obtain the permeability calculation formula based on the intersection analysis by linear fitting: PER = 0.0148e 0.427P , where PER-permeability, P-porosity; The permeability curve acquisition module is used to calculate the permeability based on the porosity curve in the fourth step and the permeability calculation formula in the sixth step to obtain the permeability curve.

9. An electronic device, It is characterized in that The electronic device comprises: A memory storing executable instructions; A processor, wherein the processor runs the executable instructions in the memory to implement the method for determining the tight sandstone logging permeability according to any one of claims 1-7.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for determining the tight sandstone logging permeability according to any one of claims 1 to 7 is implemented.

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