A pore flow capacity determination method, device, electronic equipment and storage medium

Abstract

Embodiments of the present application disclose a method and device for determining pore flow capacity, electronic equipment and storage medium. The method comprises: determining total porosity and effective porosity of a target rock sample collected from a target reservoir, and mineral content and mineral Young's modulus corresponding to each mineral contained in the target rock sample; and determining pore flow capacity of the target reservoir according to the total porosity and the effective porosity, and the mineral content and the mineral Young's modulus corresponding to each mineral. The technical solution of the embodiments of the present application can determine the pore flow capacity of a tight gas reservoir.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of oil and gas, and particularly relate to a method and device for determining pore flow capacity, an electronic device and a storage medium. BACKGROUND

[0002] Tight oil and gas has important exploration and development prospects in the field of unconventional oil and gas, and large oil and gas basins such as Ordos, Sichuan, Songliao and Qaidam have rich potential of tight oil and gas resources.

[0003] Horizontal well multi-stage fracturing technology is the key technology for realizing shale gas revolution in North America, and is widely used in the world. However, most of the tight oil and gas reservoirs in China have poor reservoir properties, strong heterogeneity and low natural productivity, and thus part of the reservoirs in the tight oil and gas reservoirs in China cannot be developed by conventional water injection, and an effective injection-production well pattern cannot be formed. Therefore, before production, hydraulic fracturing must be carried out, and large-scale high-displacement water-based fracturing fluid is injected into the formation to form a complex fracture network, which is the key to efficient development of tight oil and gas. The pore flow capacity of the rock reservoir itself is the primary consideration for well selection and layer selection and fracturing scheme design in volume fracturing.

[0004] However, the pore flow capacity of the tight gas reservoir cannot be determined at present, and needs to be solved. SUMMARY

[0005] Embodiments of the present application provide a method and device for determining pore flow capacity, an electronic device and a storage medium, to realize the determination of the pore flow capacity of the tight gas reservoir.

[0006] According to an aspect of the present application, a method for determining pore flow capacity is provided, which can include:

[0007] For a target rock sample collected from a target reservoir, determining the total porosity and effective porosity of the target rock sample, and the mineral content and mineral Young's modulus of each mineral contained in the target rock sample;

[0008] According to the total porosity and effective porosity, and the mineral content and mineral Young's modulus of each mineral, the pore flow capacity of the target reservoir is determined.

[0009] According to another aspect of the present application, a device for determining pore flow capacity is provided, which can include:

[0010] The mineral Young's modulus determination module is configured to determine, for a target rock sample collected from a target reservoir, the total porosity and effective porosity of the target rock sample, and the mineral content and mineral Young's modulus of each mineral contained in the target rock sample;

[0011] A pore flow capacity determination module is configured to determine the pore flow capacity of the target reservoir according to the total porosity and the effective porosity, and the mineral content and the Young's modulus of each mineral.

[0012] According to another aspect of the present application, an electronic device can include:

[0013] at least one processor; and

[0014] a memory in communication with the at least one processor; wherein

[0015] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to cause the at least one processor to implement the pore flow capacity determination method provided by any of the embodiments of the present application.

[0016] According to another aspect of the present application, a computer readable storage medium is provided, and the computer readable storage medium stores computer instructions for causing a processor to implement the pore flow capacity determination method provided by any of the embodiments of the present application.

[0017] The technical solution of the embodiments of the present application determines the total porosity and the effective porosity of a target rock sample collected from a target reservoir, and the mineral content and the Young's modulus of each mineral contained in the target rock sample; and determines the pore flow capacity of the target reservoir according to the total porosity and the effective porosity, and the mineral content and the Young's modulus of each mineral. The above technical solution can determine the pore flow capacity of a tight gas reservoir by using the total porosity, the effective porosity and the mineral composition.

[0018] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort.

[0020] Figure 1 is a flow chart of a pore flow capacity determination method provided by an embodiment of the present application;

[0021] Figure 2is a flow chart of another method for determining pore flow capacity according to an embodiment of the present application;

[0022] Figure 3 is a flow chart of another method for determining pore flow capacity according to an embodiment of the present application;

[0023] Figure 4 is a flow chart of another method for determining pore flow capacity according to an embodiment of the present application;

[0024] Figure 5 is a structural block diagram of a device for determining pore flow capacity according to an embodiment of the present application;

[0025] Figure 6 is a structural schematic diagram of an electronic device for implementing the method for determining pore flow capacity according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the person skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0027] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. The case of "target", "original" and the like is similar, which will not be described here. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily limit to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0028] Figure 1 is a flow chart of a method for determining pore flow capacity according to an embodiment of the present application. The present embodiment can be applicable to the case of determining pore flow capacity, especially to the case of determining pore flow capacity of a tight gas reservoir. The method can be executed by a device for determining pore flow capacity provided by an embodiment of the present application, which can be realized by software and / or hardware, and can be integrated on an electronic device, which can be various user terminals or servers.

[0029] See Figure 1 The method of this invention specifically includes the following steps:

[0030] S110. For the target rock sample collected from the target reservoir, determine the total porosity and effective porosity of the target rock sample, as well as the mineral content and Young's modulus of each mineral contained in the target rock sample.

[0031] The target reservoir is a tight gas reservoir for which the required pore flow capacity is determined. Total porosity is the percentage of pore volume to apparent volume in the target rock sample. Effective porosity is the percentage of interconnected pore volume to apparent volume in the target rock sample. Minerals can be understood as the minerals that constitute the target rock sample; examples include quartz, dolomite, calcite, feldspar, pyrite, or clay, etc. Mineral content is the percentage of minerals contained in the target rock sample out of all minerals. Mineral Young's modulus is the Young's modulus of the minerals contained in the target rock sample.

[0032] In this embodiment of the invention, core sampling can be performed on the target reservoir to collect core rocks. These core rocks are then processed into target rock samples to determine the pore flow capacity of the target reservoir. For example, a collection well capable of collecting core rocks from the target reservoir can be used to collect downhole core rocks from the target reservoir, and these downhole core rocks can be processed into target rock samples of a predetermined size. It should be noted that after obtaining the target rock samples, they can be dried to constant weight to improve the accuracy of shale permeability testing.

[0033] For example, core sampling can be performed on the target reservoir to collect core rocks. The core rocks are then prepared into standard rock samples with a diameter of 2.5 cm and a length of 5 cm. The standard rock samples are placed in an oven at 100°C and dried to constant weight. The standard rock samples dried to constant weight are used as the target rock samples.

[0034] In embodiments of the present invention, for example, an automatic helium porosimeter can be used to determine the total porosity and effective porosity of the target rock sample; an X-ray diffractometer can be used to determine the types of minerals contained in the target rock sample and the corresponding mineral content of each type of mineral; and a rock physics handbook can be used to determine the Young's modulus of each mineral contained in the target rock sample. In embodiments of the present invention, no specific limitations are made on the methods for determining the total porosity and effective porosity of the target rock sample, as well as the corresponding mineral content and Young's modulus of each mineral contained in the target rock sample.

[0035] S120. Determine the pore flow capacity of the target reservoir based on the total porosity and effective porosity, as well as the mineral content and Young's modulus of each mineral.

[0036] Pore ​​flow capacity can be understood as the fluid flow capacity of the pores in the target reservoir; pore flow capacity can also be represented by the reservoir flow coefficient of the target reservoir. It should be noted that the flow coefficient mentioned in the embodiments of this invention is a parameter that can represent the ease or difficulty of fluid flow in a target object; for example, the reservoir flow coefficient is a parameter that can represent the ease or difficulty of fluid flow in a target reservoir.

[0037] In this embodiment of the invention, the pore flow capacity of the target reservoir can be determined based on the total porosity, effective porosity, and the mineral content and Young's modulus of each mineral. Using total porosity, effective porosity, and the mineral content and Young's modulus of each mineral as factors in determining pore flow capacity can save costs and time while ensuring the determination of the pore flow capacity of tight gas reservoirs. The accuracy of the determined pore flow capacity is high, and the method for determining the pore flow capacity of the target reservoir in this embodiment of the invention has good potential for extension and expansion. This method has good guiding significance for the exploration and development of unconventional oil and gas reservoirs with strong heterogeneity, discontinuous sand bodies, multiple thin-layer stacked development, natural fracture development, and large differences in density and occurrence.

[0038] In this embodiment of the invention, no specific limitation is made on the method of determining the pore flow capacity of the target reservoir based on the total porosity and effective porosity, as well as the mineral content and Young's modulus of each mineral.

[0039] The technical solution of this invention, for a target rock sample collected from a target reservoir, determines the total porosity and effective porosity of the target rock sample, as well as the mineral content and Young's modulus of each mineral contained in the target rock sample; based on the total porosity, effective porosity, and the mineral content and Young's modulus of each mineral, the pore flow capacity of the target reservoir is determined. The above technical solution can determine the pore flow capacity of a tight gas reservoir through total porosity, effective porosity, and mineral composition.

[0040] Figure 2This is a flowchart of another method for determining pore flow capacity provided in this embodiment of the invention. This embodiment is an optimization based on the above-described technical solutions. In this embodiment, optionally, the pore flow capacity of the target reservoir is determined according to the total porosity and effective porosity, as well as the mineral content and Young's modulus of each mineral, including: determining the target connectivity based on the total porosity and effective porosity; and determining the pore flow capacity of the target reservoir based on the target connectivity and the mineral content and Young's modulus of each mineral. The explanations of terms that are the same as or corresponding to those in the above embodiments are not repeated here.

[0041] See Figure 2 The method in this embodiment may specifically include the following steps:

[0042] S210. For the target rock sample collected from the target reservoir, determine the total porosity and effective porosity of the target rock sample, as well as the mineral content and Young's modulus of each mineral contained in the target rock sample.

[0043] S220. Determine the target porosity based on the total porosity and effective porosity.

[0044] Among them, target connectivity can reflect the degree of interconnection of pores in the target rock sample; target connectivity can be a dimensionless quantity.

[0045] In this embodiment of the invention, the ratio of total porosity to effective porosity can be used as the target porosity. For example, it can be expressed by the formula... Determine the target connectivity K. Where K... y This refers to effective porosity, which is measured in % (%). K z It refers to total porosity, which is measured in percentages (%).

[0046] S230. Determine the porosity of the target reservoir based on the target connectivity and the mineral content and Young's modulus of each mineral.

[0047] In this embodiment of the invention, the method for determining the pore flow capacity of the target reservoir based on the target connectivity and the mineral content and Young's modulus of each mineral is not specifically limited.

[0048] The technical solution of this invention determines the target connectivity based on total porosity and effective porosity; and determines the pore flow capacity of the target reservoir based on the target connectivity and the mineral content and Young's modulus of each mineral. By determining the target connectivity and then determining the pore flow capacity of the target reservoir based on the target connectivity, the accuracy of the determined pore flow capacity can be improved.

[0049] Figure 3This is a flowchart of another method for determining pore flow capacity provided in this embodiment of the invention. This embodiment is an optimization based on the above-mentioned technical solutions. In this embodiment, optionally, the pore flow capacity of the target reservoir is determined according to the target connectivity and the mineral content and Young's modulus of each mineral, including: determining the primary fracture flow coefficient and secondary fracture flow coefficient of the target rock sample according to the mineral content and Young's modulus of each mineral; determining the primary and secondary fracture crossover coefficient of the target rock sample according to the mineral content of clay minerals in each mineral and the target connectivity; and determining the pore flow capacity of the target reservoir according to the primary fracture flow coefficient, secondary fracture flow coefficient, and primary and secondary fracture crossover coefficient. The explanations of terms that are the same as or corresponding to those in the above embodiments are not repeated here.

[0050] See Figure 3 The method in this embodiment may specifically include the following steps:

[0051] S310. For the target rock sample collected from the target reservoir, determine the total porosity and effective porosity of the target rock sample, as well as the mineral content and Young's modulus of each mineral contained in the target rock sample.

[0052] S320. Determine the target porosity based on the total porosity and effective porosity.

[0053] S330. Based on the mineral content and Young's modulus of each mineral, determine the flow coefficient of the primary fracture and the flow coefficient of the secondary fracture of the target rock sample.

[0054] The primary fracture flow coefficient is the flow coefficient of the primary fractures in the target rock sample. It characterizes the fluid flow capacity of the primary fractures within the pores of the target reservoir, and also reflects the degree of intersection, fracture thickness, connectivity, and number of primary fractures. The unit of the primary fracture flow coefficient is MPa. The secondary fracture flow coefficient is the flow coefficient of the secondary fractures in the target rock sample. It characterizes the fluid flow capacity of the secondary fractures within the pores of the target reservoir, and also reflects the degree of intersection, fracture thickness, connectivity, and number of secondary fractures. The unit of the secondary fracture flow coefficient is MPa.

[0055] In this embodiment of the invention, the method for determining the flow coefficient of the primary fracture and the flow coefficient of the secondary fracture of the target rock sample based on the mineral content and Young's modulus of each mineral is not specifically limited.

[0056] It should be noted that the primary fracture flow coefficient and the secondary fracture flow coefficient can also be understood as the primary fracture flow coefficient and the secondary fracture flow coefficient of the target reservoir.

[0057] S340. Determine the primary and secondary fracture crossover coefficients of the target rock sample based on the mineral content of clay minerals in each mineral and the target continuity.

[0058] The primary and secondary fracture intersection coefficient can be understood as the coefficient of the degree of intersection between primary and secondary fractures; the primary and secondary fracture intersection coefficient can also be understood as a parameter that can represent the degree of sealing of fractures in the target rock sample; the primary and secondary fracture intersection coefficient can be a dimensionless quantity.

[0059] In this embodiment of the invention, the primary and secondary fracture crossover coefficients of the target rock sample can be determined based on the mineral content of clay minerals in each mineral and the target connectivity. Combining the above examples, for instance, it can be determined using the formula... Determine the primary and secondary crack crossover coefficient K g Among them, Q n 'n' represents the mineral content corresponding to clay minerals, and 'n' represents the number of clay minerals among all minerals. It can also be understood as the total number of all minerals, meaning that clay minerals are the minerals with the last number among all minerals.

[0060] S350. Determine the porosity of the target reservoir based on the flow coefficient of the primary fracture, the flow coefficient of the secondary fracture, and the crossover coefficient of the primary and secondary fractures.

[0061] In this embodiment of the invention, the porosity of the target reservoir can be determined based on the primary fracture flow coefficient, the secondary fracture flow coefficient, and the primary-secondary fracture crossover coefficient. Combining the above examples, for instance, it can be determined using the formula BG = P. z P c K g The reservoir flow coefficient BG is determined as the porosity flow capacity of the target reservoir. Wherein, P... z It is the flow coefficient of the main fracture; P c The flow coefficient of this fracture; the unit of BG is MPa2.

[0062] The technical solution of this invention determines the primary fracture flow coefficient and secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral; it determines the primary and secondary fracture crossover coefficient of the target rock sample based on the clay mineral content and target connectivity of each mineral; and it determines the porosity flow capacity of the target reservoir based on the primary fracture flow coefficient, secondary fracture flow coefficient, and primary and secondary fracture crossover coefficient. This technical solution, by determining the obtained primary fracture flow coefficient, secondary fracture flow coefficient, and primary and secondary fracture crossover coefficient, determines the porosity flow capacity of the target reservoir, thereby further improving the accuracy of the obtained porosity flow capacity.

[0063] Figure 4This is a flowchart of another method for determining pore flow capacity provided in this embodiment of the invention. This embodiment is an optimization based on the above-mentioned technical solutions. In this embodiment, optionally, determining the primary fracture flow coefficient and secondary fracture flow coefficient of the target rock sample according to the mineral content and Young's modulus of each mineral includes: determining at least two high-content minerals from at least two other minerals (excluding clay minerals) according to the mineral content of each mineral; determining the primary fracture flow coefficient of the target rock sample according to the mineral content and Young's modulus of the at least two high-content minerals; and determining the secondary fracture flow coefficient of the target rock sample according to the mineral content and Young's modulus of each mineral. The explanations of terms that are the same as or corresponding to those in the above embodiments are not repeated here.

[0064] See Figure 4 The method in this embodiment may specifically include the following steps:

[0065] S410. For the target rock sample collected from the target reservoir, determine the total porosity and effective porosity of the target rock sample, as well as the mineral content and Young's modulus of each mineral contained in the target rock sample.

[0066] S420. Determine the target porosity based on the total porosity and effective porosity.

[0067] S430. Based on the mineral content of each mineral, determine at least two high-content minerals from at least two other minerals besides clay minerals in each mineral.

[0068] In this embodiment of the invention, based on the mineral content corresponding to each mineral, the minerals with the highest or second highest content among at least two other minerals (excluding clay minerals) can be determined as high-content minerals. For example, the two minerals with the highest and second highest mineral content among each mineral can be determined as two high-content minerals; or, for another example, the three minerals with the highest, second highest, and third highest mineral content among each mineral can be determined as three high-content minerals.

[0069] S440. Determine the flow coefficient of the main fracture of the target rock sample based on the mineral content and Young's modulus of at least two high-content minerals.

[0070] In this embodiment of the invention, no specific limitation is made on the method of determining the flow coefficient of the main fracture of the target rock sample based on the mineral content and Young's modulus of at least two high-content minerals respectively.

[0071] S450. Determine the secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral.

[0072] In this embodiment of the invention, no specific limitation is made on the method of determining the secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral.

[0073] S460. Determine the primary and secondary fracture crossover coefficients of the target rock sample based on the mineral content of clay minerals in each mineral and the target continuity.

[0074] S470. Determine the porosity of the target reservoir based on the flow coefficient of the primary fracture, the flow coefficient of the secondary fracture, and the crossover coefficient of the primary and secondary fractures.

[0075] The technical solution of this invention involves determining at least two high-content minerals from at least two other minerals (excluding clay minerals) based on the mineral content of each mineral; determining the primary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each of the at least two high-content minerals; and determining the secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral. This technical solution improves the accuracy of both the determined primary and secondary fracture flow coefficients by using high-content minerals to determine the primary fracture flow coefficient and by using the mineral content and Young's modulus of each mineral.

[0076] An optional technical solution involves determining the flow coefficient of the main fracture of a target rock sample based on the mineral content and Young's modulus of at least two high-content minerals, including: determining the complexity of the main fracture of the target rock sample based on the mineral content of at least two high-content minerals; determining the connectivity of the main fracture of the target rock sample based on the mineral content and Young's modulus of at least two high-content minerals; and determining the flow coefficient of the main fracture of the target rock sample based on the complexity and connectivity of the main fracture.

[0077] Among them, the complexity of the main fracture can be understood as a parameter that reflects the degree of complexity of the main fracture, and the complexity of the main fracture is dimensionless. The connectivity of the main fracture can be understood as a parameter that reflects the degree of interconnection between the main fractures, and the unit of the connectivity of the main fracture is MPa.

[0078] In this embodiment of the invention, the complexity of the main fracture of the target rock sample can be determined based on the mineral content corresponding to at least two high-content minerals. Combining the above examples, for instance, when there are two high-content minerals, the complexity can be determined using the formula... Determine the complexity G of the main crack z Among them, Q i Q represents the mineral content of a mineral; i can represent the mineral number within each mineral group. It should be noted that when i = 1, Q... iThat is, the mineral content of the highest-content mineral; when i = 2, Q i This refers to the mineral content of the highest-content mineral, which is the mineral with the lowest mineral content among all minerals. In other words, the highest-content mineral is one of the minerals listed among the first few in the numbering system.

[0079] In this embodiment of the invention, the main fracture connectivity of a target rock sample can be determined based on the mineral content and Young's modulus of at least two high-content minerals. Combining the above examples, for instance, when there are two high-content minerals, the connectivity can be determined using the formula... Determine the connectivity L of the main fracture z Among them, E i E represents the mineral Young's modulus. i The unit is MPa; i can represent the mineral number in each mineral group. It should be noted that when i = 1, E i This refers to the Young's modulus of the mineral with the highest mineral content; when i = 2, E i It is the Young's modulus of the mineral with the lowest mineral content and the highest mineral content.

[0080] In this embodiment of the invention, the flow coefficient of the main fracture of the target rock sample can be determined based on the complexity and connectivity of the main fracture. Combining the above examples, for instance, it can be determined using formula P. z =G z L z Determine the flow coefficient P of the main fracture z .

[0081] In this embodiment of the invention, the accuracy of the determined main fracture flow coefficient can be improved by using the main fracture complexity and main fracture connectivity as determinants of the main fracture flow coefficient.

[0082] Another optional technical solution involves determining the secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral, including: determining the secondary fracture complexity of the target rock sample based on the mineral content of each mineral; determining the secondary fracture connectivity of the target rock sample based on the mineral content and Young's modulus of at least two other minerals; and determining the secondary fracture flow coefficient of the target rock sample based on the secondary fracture complexity and secondary fracture connectivity.

[0083] Here, secondary crack complexity can be understood as a parameter that reflects the degree of complexity of a secondary crack; secondary crack complexity is a dimensionless quantity. Secondary crack connectivity can be understood as a parameter that reflects the degree of connectivity between secondary cracks; the unit of secondary crack connectivity is MPa.

[0084] In this embodiment of the invention, no specific limitation is made on the method of determining the secondary fracture complexity of the target rock sample based on the mineral content corresponding to each mineral.

[0085] In this embodiment of the invention, the secondary fracture connectivity of the target rock sample can be determined based on the mineral content and Young's modulus of at least two other minerals. Combining the above examples, for instance, it can be determined using the formula... Determine the secondary crack connectivity L c .

[0086] In this embodiment of the invention, the secondary fracture flow coefficient of the target rock sample can be determined based on the secondary fracture complexity and secondary fracture connectivity. Combining the above examples, for instance, it can be determined using formula P. c =G c L c Determine the flow coefficient P of the secondary fracture z Among them, G c This is the complexity of the crack.

[0087] In this embodiment of the invention, the accuracy of the determined secondary fracture flow coefficient can be improved by using the secondary fracture complexity and secondary fracture connectivity as determinants of the secondary fracture flow coefficient.

[0088] Based on the above scheme, another optional technical solution is to determine the secondary fracture complexity of the target rock sample according to the mineral content corresponding to each mineral, including: determining the secondary fracture complexity of the target rock sample according to the mineral content of clay minerals and the mineral content corresponding to at least two other minerals.

[0089] In this embodiment of the invention, the secondary fracture complexity of the target rock sample can be determined based on the mineral content of the clay mineral and the mineral content of at least two other minerals. Combining the above examples, for instance, it can be determined using the formula... Determine the complexity G of the secondary crack c .

[0090] In this embodiment of the invention, the secondary fracture complexity of the target rock sample can be determined based on the mineral content of clay minerals and the mineral content of at least two other minerals, thereby improving the accuracy of the determined secondary fracture complexity.

[0091] To better understand the technical solutions of the above embodiments of the present invention, an optional example is provided here. For example, in step one, a target rock sample with a diameter of 2.5 cm and a length of 5 cm, collected from the target reservoir and dried to constant weight in a 100°C oven, is measured using an automatic helium porosimeter. The total porosity of the target rock sample is determined to be 5.8%, and the effective porosity is 4.3%. The main minerals contained in the target rock sample are identified as quartz, dolomite, calcite, feldspar, pyrite, and clay. The mineral content of each mineral is determined using an X-ray diffractometer as shown in Table 1 below. By consulting a rock physics handbook, the Young's modulus of each mineral is determined to be: quartz 95942.54 MPa, feldspar 64838.72 MPa, dolomite 105309.01 MPa, calcite 78010.81 MPa, and pyrite 283056.36 MPa.

[0092] Table 1 shows the mineral content of each mineral.

[0093]

[0094] Step 2: Using the formula Based on the total porosity and effective porosity, the target connectivity is determined to be 0.74.

[0095] Step 3: Based on the mineral content of each mineral, determine the two minerals with the highest and second highest mineral content, quartz and feldspar, from at least two other minerals (excluding clay minerals) as the two high-content minerals.

[0096] Step 4: Using the formula Based on the mineral content of the two high-content minerals, the complexity of the main fracture of the target rock sample was determined to be 0.9524.

[0097] Step 5: Using the formula Based on the mineral content and Young's modulus of at least two high-content minerals, the main fracture connectivity of the target rock sample was determined to be 2.06 MPa.

[0098] Step Six: Using formula P z =G z L z Based on the complexity and connectivity of the main fracture, the flow coefficient of the main fracture of the target rock sample was determined to be 1.96 MPa. The specific determination results are shown in Table 2 below.

[0099] Table 2. Results of determination of the flow coefficient of the main fracture

[0100]

[0101] Step 7: Using the formula Based on the mineral content of clay minerals and the mineral content of at least two other minerals, the secondary fracture complexity of the target rock sample is determined to be 0.63.

[0102] Step 8: Using the formula Based on the mineral content and Young's modulus of at least two other minerals, the secondary fracture connectivity of the target rock sample was determined to be 1.53 MPa.

[0103] Step 9: Using formula P c =G c L c Based on the complexity and connectivity of the secondary fractures, the flow coefficient of the secondary fractures in the target rock sample was determined to be 0.96 MPa. The specific determination results are shown in Table 3 below.

[0104] Table 3 Results of Determination of Flow Coefficient in Cracks

[0105]

[0106] Step 10: Using the formula Based on the mineral content of clay minerals in each mineral and the target connectivity, the primary and secondary fracture crossover coefficient of the target rock sample was determined to be 4.30.

[0107] Step 11: Using the formula BG = P z P c K g Based on the flow coefficients of the primary fracture, secondary fracture, and primary-secondary fracture crossover coefficient, the reservoir flow coefficient of the target reservoir was determined to be 8.09 MPa. 2 The reservoir flow coefficient is used as the pore flow capacity of the target reservoir.

[0108] Figure 5 This is a structural block diagram of a pore flow capacity determination device provided in an embodiment of the present invention. This device is used to execute the pore flow capacity determination method provided in any of the above embodiments. This device and the pore flow capacity determination method of the above embodiments belong to the same inventive concept. Details not described in detail in the embodiments of the pore flow capacity determination device can be found in the embodiments of the pore flow capacity determination method described above. See also... Figure 5 The device may specifically include: a mineral Young's modulus determination module 510 and a pore flow capacity determination module 520.

[0109] Among them, the mineral Young's modulus determination module 510 is used to determine the total porosity and effective porosity of the target rock sample obtained from the target reservoir, as well as the mineral content and mineral Young's modulus of each mineral contained in the target rock sample.

[0110] The pore flow capacity determination module 520 is used to determine the pore flow capacity of the target reservoir based on the total porosity and effective porosity, as well as the mineral content and Young's modulus of each mineral.

[0111] Optionally, the pore flow capacity determination module 520 may include:

[0112] The target connectivity determination submodule is used to determine the target connectivity based on the total porosity and effective porosity.

[0113] The pore flow capacity determination submodule is used to determine the pore flow capacity of the target reservoir based on the target connectivity and the mineral content and Young's modulus of each mineral.

[0114] Optionally, based on the above-described apparatus, the pore flow capacity determination submodule may include:

[0115] The secondary fracture flow coefficient determination unit is used to determine the primary fracture flow coefficient and secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral.

[0116] The primary and secondary fracture intersection coefficient determination unit is used to determine the primary and secondary fracture intersection coefficient of the target rock sample based on the mineral content of clay minerals in each mineral and the target connectivity.

[0117] The pore flow capacity determination unit is used to determine the pore flow capacity of the target reservoir based on the flow coefficient of the primary fracture, the flow coefficient of the secondary fracture, and the crossover coefficient of the primary and secondary fractures.

[0118] Optionally, based on the above-described apparatus, the secondary fracture flow coefficient determination unit may include:

[0119] The high-content mineral identification subunit is used to identify at least two high-content minerals from at least two other minerals besides clay minerals, based on the mineral content corresponding to each mineral.

[0120] The main fracture flow coefficient determination sub-unit is used to determine the main fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of at least two high-content minerals, respectively.

[0121] The secondary fracture flow coefficient determination sub-unit is used to determine the secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral.

[0122] Optionally, based on the above-mentioned device, the main fracture flow coefficient determination sub-unit can be specifically used for:

[0123] The complexity of the main fracture in the target rock sample is determined based on the mineral content of at least two high-content minerals.

[0124] Determine the main fracture connectivity of the target rock sample based on the mineral content and Young's modulus of at least two high-content minerals;

[0125] The flow coefficient of the main fracture of the target rock sample is determined based on the complexity and connectivity of the main fracture.

[0126] Optionally, based on the above-mentioned device, the sub-unit for determining the flow coefficient of the secondary fracture can be used specifically for:

[0127] The secondary fracture complexity of the target rock sample is determined based on the mineral content of each mineral.

[0128] The secondary fracture connectivity of the target rock sample is determined based on the mineral content and Young's modulus of at least two other minerals.

[0129] The flow coefficient of the secondary fracture in the target rock sample is determined based on the complexity and connectivity of the secondary fracture.

[0130] Optionally, based on the above-mentioned device, the sub-unit for determining the flow coefficient of the secondary crack can be further specifically used for:

[0131] The secondary fracture complexity of the target rock sample is determined based on the mineral content of clay minerals and the mineral content of at least two other minerals.

[0132] The pore flow capacity determination device provided in this invention determines the total porosity and effective porosity of a target rock sample collected from a target reservoir, as well as the mineral content and Young's modulus of each mineral contained in the sample, through a mineral Young's modulus determination module. Based on the total porosity, effective porosity, and the mineral content and Young's modulus of each mineral, the pore flow capacity determination module determines the pore flow capacity of the target reservoir. This device can determine the pore flow capacity of a tight gas reservoir using total porosity, effective porosity, and mineral composition.

[0133] The pore flow capacity determination device provided in the embodiments of the present invention can execute the pore flow capacity determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0134] It is worth noting that in the embodiments of the above-mentioned pore flow capacity determination device, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.

[0135] Figure 6A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0136] like Figure 6 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded into the RAM 13 from storage unit 18. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0137] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0138] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the pore flow capability determination method.

[0139] In some embodiments, the pore flow capability determination method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or mounted on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the pore flow capability determination method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the pore flow capability determination method by any other suitable means (e.g., by means of firmware).

[0140] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0141] Computer programs used to implement the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs can be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0142] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0143] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0144] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0145] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0146] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0147] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining pore flow capacity, characterized in that, include: For target rock samples collected from the target reservoir, determine the total porosity and effective porosity of the target rock samples, as well as the mineral content and Young's modulus of each mineral contained in the target rock samples; The porosity of the target reservoir is determined based on the total porosity and the effective porosity, as well as the mineral content and Young's modulus of each mineral. The step of determining the pore flow capacity of the target reservoir based on the total porosity, the effective porosity, and the mineral content and Young's modulus of each mineral includes: Based on the total porosity and the effective porosity, using the formula... Determine the target connectivity, where K is the target connectivity. It is the effective porosity, It is the total porosity; The porosity of the target reservoir is determined based on the target connectivity, the mineral content and Young's modulus of each mineral. The step of determining the porosity flow capacity of the target reservoir based on the target connectivity and the mineral content and Young's modulus of each mineral includes: Based on the mineral content and Young's modulus of each mineral, the flow coefficient of the primary fracture and the flow coefficient of the secondary fracture of the target rock sample are determined. Based on the mineral content of clay minerals in each mineral and the target degree of connectivity, the formula is used... Determine the primary and secondary fracture crossover coefficients of the target rock sample, wherein, It is the primary and secondary crack stagger coefficient. This refers to the mineral content corresponding to the clay mineral. This is the number of the clay mineral among the various minerals; Based on the primary fracture flow coefficient, the secondary fracture flow coefficient, and the primary-secondary fracture crossover coefficient, using the formula... Determine the pore flow capacity of the target reservoir, wherein, It is the flow coefficient of the main fracture. is the subfracture flow coefficient, and BG is the reservoir flow coefficient representing the pore flow capacity; The step of determining the primary fracture flow coefficient and secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral includes: Based on the mineral content corresponding to each mineral, at least two high-content minerals are determined from at least two other minerals besides clay minerals among the minerals. The flow coefficient of the main fracture of the target rock sample is determined based on the mineral content and Young's modulus of the at least two high-content minerals, respectively. The secondary fracture flow coefficient of the target rock sample is determined based on the mineral content and Young's modulus of each mineral. The determination of the main fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of the at least two high-content minerals includes: Based on the mineral content corresponding to the at least two high-content minerals, using the formula... The complexity of the main fracture in the target rock sample was determined, wherein, This refers to the complexity of the main crack. The mineral content of a mineral. i It is the mineral number of the mineral in the list of minerals. i When =1, This refers to the mineral content of the highest-content mineral. i When =2, The mineral content of the highest-content mineral with the lowest mineral content; Based on the mineral content and Young's modulus of the at least two high-content minerals, the formula is used to... Determine the connectivity of the main fractures in the target rock sample, wherein, It is the connectivity of the main crack. This refers to the Young's modulus of the mineral. i When =1, It represents the Young's modulus of the mineral with the highest mineral content. i When =2, The Young's modulus of the mineral with the lowest mineral content; Based on the complexity and connectivity of the main fracture, using the formula... Determine the flow coefficient of the main fracture in the target rock sample, wherein, It is the flow coefficient of the main fracture; The step of determining the secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral includes: The secondary fracture complexity of the target rock sample is determined based on the mineral content corresponding to each mineral. Based on the mineral content and Young's modulus of the at least two other minerals, the formula is used to... Determine the secondary fracture connectivity of the target rock sample, wherein, This refers to the connectivity of the secondary crack; Based on the complexity and connectivity of the sub-fracture, using the formula... Determine the secondary fracture flow coefficient of the target rock sample, wherein, It is the flow coefficient of the secondary crack; The step of determining the secondary fracture complexity of the target rock sample based on the mineral content corresponding to each mineral includes: Based on the mineral content of the clay mineral and the mineral content of the at least two other minerals, the formula is used to determine the mineral content of the clay mineral and the mineral content of the other minerals. The secondary fracture complexity of the target rock sample is determined, wherein, This refers to the secondary crack complexity.

2. A device for determining pore flow capacity, characterized in that, include: The mineral Young's modulus determination module is used to determine the total porosity and effective porosity of a target rock sample obtained from a target reservoir, as well as the mineral content and Young's modulus of each mineral contained in the target rock sample. A pore flow capacity determination module is used to determine the pore flow capacity of the target reservoir based on the total porosity and the effective porosity, as well as the mineral content and Young's modulus of each mineral. The pore flow capacity determination module includes: The target porosity determination submodule is used to determine the porosity based on the total porosity and the effective porosity using a formula. Determine the target connectivity, where K is the target connectivity. It is the effective porosity, It is the total porosity; The pore flow capacity determination submodule is used to determine the pore flow capacity of the target reservoir based on the target connectivity and the mineral content and Young's modulus of each mineral. The pore flow capacity determination submodule includes: The secondary fracture flow coefficient determination unit is used to determine the primary fracture flow coefficient and secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral. The primary and secondary fracture intersection coefficient determination unit is used to determine the primary and secondary fracture intersection coefficient based on the mineral content of clay minerals in each mineral and the target connectivity, using a formula. Determine the primary and secondary fracture crossover coefficients of the target rock sample, wherein, It is the primary and secondary crack stagger coefficient. This refers to the mineral content corresponding to the clay mineral. This is the number of the clay mineral among the various minerals; The pore flow capacity determination unit is used to determine the pore flow capacity based on the primary fracture flow coefficient, the secondary fracture flow coefficient, and the primary-secondary fracture crossover coefficient, using a formula. Determine the pore flow capacity of the target reservoir, wherein, It is the flow coefficient of the main fracture. is the subfracture flow coefficient, and BG is the reservoir flow coefficient representing the pore flow capacity; The secondary fracture flow coefficient determination unit includes: The high-content mineral determination subunit is used to determine at least two high-content minerals from at least two other minerals besides clay minerals, based on the mineral content corresponding to each mineral. The main fracture flow coefficient determination subunit is used to determine the main fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of the at least two high-content minerals, respectively. The secondary fracture flow coefficient determination subunit is used to determine the secondary fracture flow coefficient of the target rock sample based on the mineral content and Young's modulus of each mineral. The main fracture flow coefficient determination sub-unit is specifically used for: Based on the mineral content corresponding to the at least two high-content minerals, using the formula... The complexity of the main fracture in the target rock sample was determined, wherein, This refers to the complexity of the main crack. The mineral content of a mineral. i It is the mineral number of the mineral in the list of minerals. i When =1, This refers to the mineral content of the highest-content mineral. i When =2, The mineral content of the highest-content mineral with the lowest mineral content; Based on the mineral content and Young's modulus of the at least two high-content minerals, the formula is used to... Determine the connectivity of the main fractures in the target rock sample, wherein, It is the connectivity of the main crack. This refers to the Young's modulus of the mineral. i When =1, It represents the Young's modulus of the mineral with the highest mineral content. i When =2, The Young's modulus of the mineral with the lowest mineral content; Based on the complexity and connectivity of the main fracture, using the formula... Determine the flow coefficient of the main fracture in the target rock sample, wherein, It is the flow coefficient of the main fracture; The sub-unit for determining the flow coefficient of the secondary fracture is specifically used for: The secondary fracture complexity of the target rock sample is determined based on the mineral content corresponding to each mineral. Based on the mineral content and Young's modulus of the at least two other minerals, the formula is used to... Determine the secondary fracture connectivity of the target rock sample, wherein, This refers to the connectivity of the secondary crack; Based on the complexity and connectivity of the sub-fracture, using the formula... Determine the secondary fracture flow coefficient of the target rock sample, wherein, It is the flow coefficient of the secondary crack; The sub-unit for determining the flow coefficient of the secondary fracture is further specifically used for: Based on the mineral content of the clay mineral and the mineral content of the at least two other minerals, the formula is used to determine the mineral content of the clay mineral and the mineral content of the other minerals. The secondary fracture complexity of the target rock sample is determined, wherein, This refers to the secondary crack complexity.

3. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to cause the at least one processor to perform the pore flow capability determination method as described in claim 1.

4. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the pore flow capability determination method as described in claim 1.

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