Pore flow capacity determination method and device, electronic equipment and storage medium

By determining the porosity and mineral composition of the target rock sample, the pore flow capacity of the tight gas reservoir is solved, and the problem that the existing technology cannot effectively determine the pore flow capacity of the tight gas reservoir reservoir is improved, and the efficiency of oil and gas development is improved.

CN119534263AActive Publication Date: 2025-02-28PETROCHINA CO LTD
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Patent Information

Application Number
CN202311118352.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-08-31
Publication Date
2025-02-28
Estimated Expiration
2043-08-31

AI Technical Summary

Technical Problem

The prior art cannot effectively determine the pore flow capacity of tight gas reservoir reservoirs, affecting the efficient development of oil and gas.

Method used

By measuring the total porosity, effective porosity, mineral content and Young's modulus of the target rock sample, combined with these parameters, the pore flow capacity of the target reservoir was determined.

Benefits of technology

The accurate determination of the pore flow capacity of the tight gas reservoir reservoir is achieved, and the efficiency and accuracy of oil and gas development are improved.

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Abstract

The embodiment of the invention discloses a pore flow capacity determination method and device, electronic equipment and a storage medium. The method comprises the following steps: aiming at a target rock sample acquired from a target reservoir, determining the total porosity and the effective porosity of the target rock sample, and determining the mineral content and the mineral Young modulus respectively corresponding to each mineral contained in the target rock sample; and according to the total porosity, the effective porosity, and the mineral content and the mineral Young modulus corresponding to each mineral, determining the pore flow capacity of the target reservoir. According to the technical scheme provided by the embodiment of the invention, the pore flow capacity of the tight gas reservoir can be determined.
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Description

Technical Field

[0001] The embodiments of the present invention relate to the field of petroleum and natural gas technology, and in particular to a method, device, electronic device and storage medium for determining pore flow capacity. Background Art

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

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

[0004] However, the pore flow capacity of tight gas reservoirs cannot be determined at present, and this problem needs to be solved. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, electronic device and storage medium for determining pore flow capacity, so as to achieve the determination of pore flow capacity of tight gas reservoir.

[0006] According to one aspect of the present invention, a method for determining pore flow capacity is provided, which may include:

[0007] For a target rock sample collected from a 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;

[0008] The pore flow capacity of the target reservoir is determined based on the total porosity and effective porosity, as well as the mineral content and Young's modulus of each mineral.

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

[0010] A mineral Young's modulus determination module is used to determine the total porosity and effective porosity of the target rock sample collected from the target reservoir, as well as the mineral content and mineral Young's modulus corresponding to each mineral contained in the target rock sample;

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

[0012] According to another aspect of the present invention, there is provided an electronic device, which may include:

[0013] at least one processor; and

[0014] a memory communicatively connected to at least one processor; wherein,

[0015] The memory stores a computer program that can be executed by at least one processor. The computer program is executed by at least one processor so that the at least one processor implements the pore flow capacity determination method provided in any embodiment of the present invention when executing the computer program.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, on which computer instructions are stored, and the computer instructions are used to enable a processor to implement the pore flow capacity determination method provided by any embodiment of the present invention when executed.

[0017] The technical solution of the embodiment of the present invention determines the total porosity and effective porosity of the target rock sample collected from the target reservoir, as well as the mineral content and 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 effective porosity, as well as the mineral content and Young's modulus of each mineral. The above technical solution can determine the pore flow capacity of a tight gas reservoir through the total porosity, effective porosity and mineral composition.

[0018] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 is a flow chart of a method for determining pore flow capacity provided according to an embodiment of the present invention;

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

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

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

[0024] Figure 5 is a structural block diagram of a pore flow capacity determination device provided according to an embodiment of the present invention;

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

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. The situations of "target", "original", etc. are similar and will not be repeated here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

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

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

[0030] S110. For a target rock sample collected from a 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] Among them, the target reservoir is a tight gas reservoir whose pore flow capacity needs to be determined. Total porosity is the percentage of the pore volume of the target rock sample to the apparent volume. Effective porosity is the percentage of the interconnected pore volume in the target rock sample to the apparent volume. Minerals can be understood as minerals that constitute the target rock sample, and minerals can be, for example, quartz, dolomite, calcite, feldspar, pyrite or clay, etc. Mineral content is the percentage of minerals contained in the target rock sample to all minerals. Mineral Young's modulus is the Young's modulus of the minerals contained in the target rock sample.

[0032] In the embodiment of the present invention, coring work can be performed on the target reservoir, core rock can be collected from the target reservoir, and the core rock can be made into a target rock sample for determining the pore flow capacity of the target reservoir. For example, a collection well capable of collecting core rock of the target reservoir can be used to collect downhole core rock of the target reservoir through the collection well, and the downhole core rock can be made into a target rock sample of a preset size. It should be noted that after collecting the target rock sample, the target rock sample can also be dried to a constant weight to improve the accuracy of the shale imbibition capacity test.

[0033] For example, coring work can be carried out on the target reservoir, core rock can be collected from the target reservoir, and the core rock can be prepared into a standard rock sample with a diameter of 2.5 cm and a length of 5 cm. The standard rock sample is placed in a 100°C oven and dried to constant weight, and the standard rock sample dried to constant weight is used as the target rock sample.

[0034] In the embodiment of the present invention, for example, a helium porosity automatic measuring instrument may be used to measure the total porosity and effective porosity of the target rock sample, an X-ray diffractometer may be used to determine the types of minerals contained in the target rock sample, and the mineral contents corresponding to the various types of minerals, and the Young's modulus of the minerals corresponding to the various minerals contained in the target rock sample may be determined by a rock physics manual. In the embodiment of the present invention, the method for determining the total porosity and effective porosity of the target rock sample, and the mineral contents and Young's modulus of the minerals corresponding to the various minerals contained in the target rock sample are not specifically limited.

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

[0036] The pore flow capacity can be understood as the fluid flow capacity of the pores of the target reservoir; the 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 embodiment of the present invention is a parameter that can represent the difficulty of the fluid flowing in the target object, for example, the reservoir flow coefficient is a parameter that can represent the difficulty of the fluid flowing in the target reservoir.

[0037] In an embodiment of the present invention, the pore flow capacity of the target reservoir can be determined based on the total porosity and effective porosity, as well as the mineral content and Young's modulus of each mineral. By taking the total porosity, effective porosity, and the mineral content and Young's modulus of each mineral as factors for determining the pore flow capacity, the cost and time for determining the pore flow capacity can be saved while achieving the determination of the pore flow capacity of the tight gas reservoir. The accuracy of the determined pore flow capacity is high, and the method for determining the pore flow capacity of the target reservoir in the embodiment of the present invention has good extension and expansion space. The method for determining the pore flow capacity of the target reservoir in the embodiment of the present invention has a good guiding role in the exploration and development of unconventional oil and gas reservoirs with strong heterogeneity, discontinuous sand bodies, multiple superimposed thin layers, developed natural fractures, and large differences in density and occurrence.

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

[0039] The technical solution of the embodiment of the present invention determines the total porosity and effective porosity of the target rock sample collected from the target reservoir, as well as the mineral content and 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 effective porosity, as well as the mineral content and Young's modulus of each mineral. The above technical solution can determine the pore flow capacity of a tight gas reservoir through the total porosity, effective porosity and mineral composition.

[0040] Figure 2It is a flow chart of another method for determining pore flow capacity provided in an embodiment of the present invention. This embodiment is optimized based on the above-mentioned 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 mineral Young's modulus corresponding to each mineral, including: determining the target connectivity according to the total porosity and effective porosity; determining the pore flow capacity of the target reservoir according to the target connectivity and the mineral content and mineral Young's modulus corresponding to each mineral. Among them, the explanations of the terms that are the same or corresponding to the above-mentioned embodiments are not repeated here.

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

[0042] S210. For a target rock sample collected from a 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 target connectivity based on total porosity and effective porosity.

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

[0045] In the embodiment of the present invention, the ratio of total porosity to effective porosity can be used as the target porosity. For example, it can be calculated by the formula: Determine the target connectivity K. Where K y is the effective porosity, the unit of effective porosity is %; K z is the total porosity, and the unit of total porosity is %.

[0046] S230, determining the pore flow capacity of the target reservoir according to the target connectivity and the mineral content and Young's modulus of each mineral.

[0047] In the embodiment of the present invention, the method of determining the pore flow capacity of the target reservoir according to the target connectivity and the mineral content and the mineral Young's modulus corresponding to each mineral is not specifically limited.

[0048] The technical solution of the embodiment of the present invention determines the target connectivity according to the total porosity and the effective porosity; and determines the pore flow capacity of the target reservoir according to the target connectivity and the mineral content and the mineral Young's modulus corresponding to each mineral. By determining the target connectivity, the pore flow capacity of the target reservoir is determined based on the target connectivity, thereby improving the accuracy of the determined pore flow capacity.

[0049] Figure 3It is a flow chart of another method for determining pore flow capacity provided in an embodiment of the present invention. This embodiment is optimized 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 main fracture flow coefficient and the 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 interlacing coefficient of the target rock sample according to the mineral content corresponding to the clay minerals in each mineral and the target connectivity; determining the pore flow capacity of the target reservoir according to the main fracture flow coefficient, the secondary fracture flow coefficient and the primary and secondary fracture interlacing coefficient. Among them, the explanations of the terms that are the same or corresponding to the above-mentioned embodiments are not repeated here.

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

[0051] S310. For a target rock sample collected from a 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 target connectivity based on total porosity and effective porosity.

[0053] S330, determining the main fracture flow coefficient and the secondary fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to each mineral.

[0054] Among them, the main fracture flow coefficient is the flow coefficient of the main fracture of the target rock sample. The main fracture flow coefficient can characterize the fluid flow capacity of the main fracture in the pores of the target reservoir, and can also reflect the degree of intersection, fracture thickness, connectivity and number of main fractures of the main fracture itself. The unit of the main fracture flow coefficient is MPa. The secondary fracture flow coefficient is the flow coefficient of the secondary fracture of the target rock sample. The secondary fracture flow coefficient can characterize the fluid flow capacity of the secondary fracture in the pores of the target reservoir, and can also reflect the degree of intersection, fracture thickness, connectivity and number of secondary fractures of the secondary fracture itself. The unit of the secondary fracture flow coefficient is MPa.

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

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

[0057] S340, determining the primary and secondary fracture interlacing coefficient of the target rock sample according to the mineral content corresponding to the clay minerals in each mineral and the target connectivity.

[0058] Among them, the primary and secondary fracture interleaving coefficient can be understood as the coefficient of the degree of interleaving between primary fractures and secondary fractures; the primary and secondary fracture interleaving coefficient can also be understood as a parameter that can represent the degree of blocking of fractures in the target rock sample; the primary and secondary fracture interleaving coefficient can be a dimensionless quantity.

[0059] In the embodiment of the present invention, the primary and secondary fracture interlacing coefficient of the target rock sample can be determined according to the mineral content corresponding to the clay minerals in each mineral and the target connectivity. Combining the above examples, for example, the formula Determine the primary and secondary crack interlacing coefficient K g Among them, Q n It is the mineral content corresponding to the clay mineral, and n corresponds to the number of the clay mineral among all minerals. It can also be understood as the total number of all minerals, that is, the clay mineral is the last-numbered mineral among all minerals.

[0060] S350, determining the pore flow capacity of the target reservoir according to the primary fracture flow coefficient, the secondary fracture flow coefficient, and the primary and secondary fracture interlacing coefficient.

[0061] In the embodiment of the present invention, the pore flow capacity of the target reservoir can be determined according to the main fracture flow coefficient, the secondary fracture flow coefficient and the main and secondary fracture interlacing coefficient. Combining the above examples, for example, the formula BG=P z P c K g Determine the reservoir flow coefficient BG as the pore flow capacity of the target reservoir. z is the main fracture flow coefficient; P c This is the fracture flow coefficient; the unit of BG is MPa2.

[0062] The technical solution of the embodiment of the present invention determines the main fracture flow coefficient and the secondary fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to each mineral; determines the primary and secondary fracture interlacing coefficient of the target rock sample according to the mineral content corresponding to the clay minerals in each mineral and the target connectivity; determines the pore flow capacity of the target reservoir according to the main fracture flow coefficient, the secondary fracture flow coefficient and the primary and secondary fracture interlacing coefficient. The above technical solution determines the pore flow capacity of the target reservoir by determining the obtained main fracture flow coefficient, the secondary fracture flow coefficient and the primary and secondary fracture interlacing coefficient, thereby further improving the accuracy of the obtained pore flow capacity.

[0063] Figure 4It is a flow chart of another method for determining pore flow capacity provided in an embodiment of the present invention. This embodiment is optimized based on the above-mentioned technical solutions. In this embodiment, optionally, the main fracture flow coefficient and the secondary fracture flow coefficient of the target rock sample are determined according to the mineral content and the mineral Young's modulus corresponding to each mineral, including: according to the mineral content corresponding to each mineral, at least two high-content minerals are determined from at least two other minerals in each mineral except clay minerals; according to the mineral content and the mineral Young's modulus corresponding to at least two high-content minerals, the main fracture flow coefficient of the target rock sample is determined; according to the mineral content and the mineral Young's modulus corresponding to each mineral, the secondary fracture flow coefficient of the target rock sample is determined. Among them, the explanations of the terms that are the same or corresponding to the above-mentioned embodiments are not repeated here.

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

[0065] S410. For a target rock sample collected from a 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 target connectivity based on total porosity and effective porosity.

[0067] S430, according to the mineral contents corresponding to the respective minerals, determine at least two high-content minerals from at least two other minerals in the minerals except the clay mineral.

[0068] In an embodiment of the present invention, according to the mineral contents corresponding to each mineral, at least two minerals other than clay minerals in each mineral can be determined as high-content minerals. For example, the two minerals with the highest and second highest mineral contents in each mineral can be determined as two high-content minerals; for another example, the three minerals with the highest, second highest and third highest mineral contents in each mineral can be determined as three high-content minerals.

[0069] S440, determining the main fracture flow coefficient of the target rock sample according to the mineral contents and mineral Young's moduli corresponding to at least two high-content minerals.

[0070] In the embodiment of the present invention, there is no specific limitation on the method of determining the main fracture flow coefficient of the target rock sample according to the mineral contents and the mineral Young's moduli corresponding to the at least two high-content minerals.

[0071] S450, determining the secondary fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to each mineral.

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

[0073] S460, determining the primary and secondary fracture interlacing coefficient of the target rock sample according to the mineral content corresponding to the clay minerals in each mineral and the target connectivity.

[0074] S470, determining the pore flow capacity of the target reservoir according to the primary fracture flow coefficient, the secondary fracture flow coefficient, and the primary and secondary fracture interlacing coefficient.

[0075] The technical solution of the embodiment of the present invention determines at least two high-content minerals from at least two other minerals except clay minerals in each mineral according to the mineral content corresponding to each mineral; determines the main fracture flow coefficient of the target rock sample according to the mineral content and mineral Young's modulus corresponding to the at least two high-content minerals; determines the secondary fracture flow coefficient of the target rock sample according to the mineral content and mineral Young's modulus corresponding to each mineral. The above technical solution can determine the main fracture flow coefficient of the target rock sample through the high-content minerals, and determine the secondary fracture flow coefficient of the target rock sample through the mineral content and mineral Young's modulus corresponding to each mineral, thereby improving the accuracy of the main fracture flow coefficient and the secondary fracture flow coefficient obtained by determination.

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

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

[0078] In the embodiment of the present invention, the main fracture complexity of the target rock sample can be determined according to the mineral contents corresponding to at least two high-content minerals. Combining the above examples, for example, when there are two high-content minerals, the formula Determine the main crack complexity G z Among them, Q i is the mineral content of the mineral; i can represent the mineral number of the mineral in each mineral. It should be noted that when i=1, Q iThat is, the mineral content of the high-content mineral with the highest mineral content. When i=2, Q i That is, the mineral content of the high-content mineral with the lowest mineral content, that is, the high-content mineral is the mineral with the first few numbers among all minerals.

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

[0080] In the embodiment of the present invention, the main fracture flow coefficient of the target rock sample can be determined according to the main fracture complexity and the main fracture connectivity. In combination with the above examples, for example, the main fracture flow coefficient can be determined by the formula P z =G z L z Determine the main fracture flow coefficient P z .

[0081] In the embodiment of the present invention, the main fracture complexity and the main fracture connectivity can be used as the determining factors of the main fracture flow coefficient, thereby improving the accuracy of the main fracture flow coefficient.

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

[0083] Among them, the secondary fracture complexity can be understood as a parameter that can reflect the complexity of secondary fractures, and the secondary fracture complexity is a dimensionless quantity. The secondary fracture connectivity can be understood as a parameter that can reflect the degree of connectivity between secondary fractures, and the unit of the secondary fracture connectivity is MPa.

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

[0085] In the embodiment of the present invention, the secondary fracture connectivity of the target rock sample can be determined according to the mineral content and the mineral Young's modulus corresponding to at least two other minerals. Combining the above examples, for example, the secondary fracture connectivity of the target rock sample can be determined by the formula: Determine the secondary fracture connectivity L c .

[0086] In the embodiment of the present invention, the secondary fracture flow coefficient of the target rock sample can be determined according to the secondary fracture complexity and the secondary fracture connectivity. In combination with the above examples, for example, the secondary fracture flow coefficient can be determined by the formula P c =G c L c Determine the secondary fracture flow coefficient P z Among them, G c This is the complexity of the crack.

[0087] In the embodiment of the present invention, the secondary fracture complexity and the secondary fracture connectivity can be used as the determining factors of the secondary fracture flow coefficient, thereby improving the accuracy of the determined secondary fracture flow coefficient.

[0088] Based on the above scheme, another optional technical scheme 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 the embodiment of the present invention, the secondary fracture complexity of the target rock sample can be determined according to the mineral content of the clay mineral and the mineral content of at least two other minerals. In combination with the above examples, for example, the secondary fracture complexity of the target rock sample can be determined by the formula: Determine the secondary crack complexity G c .

[0090] In the embodiment of the present invention, the secondary fracture complexity of the target rock sample can be determined according to the mineral content of the clay mineral and the mineral contents corresponding to at least two other minerals, thereby improving the accuracy of the determined secondary fracture complexity.

[0091] In order to better understand the technical solution of the above-mentioned embodiment of the present invention, an optional example is provided here. Exemplarily, step 1, for the target rock sample with a diameter of 2.5 cm and a length of 5 cm collected from the target reservoir and placed in a 100°C oven to dry to constant weight, the total porosity of the target rock sample is determined to be 5.8% and the effective porosity is 4.3% by a helium porosity automatic measuring instrument, and the main minerals contained in the target rock sample are determined to be quartz, dolomite, calcite, feldspar, pyrite and clay, and the mineral content corresponding to each mineral is determined by an X-ray diffractometer as shown in Table 1 below. By consulting the rock physics handbook, it can be determined that the mineral Young's modulus corresponding to each mineral is 95942.54 MPa for quartz, 64838.72 MPa for feldspar, 105309.01 MPa for dolomite, 78010.81 MPa for calcite and 283056.36 MPa for pyrite.

[0092] Table 1 Mineral content corresponding to each mineral

[0093]

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

[0095] Step 3: According to the mineral contents corresponding to the respective minerals, quartz and feldspar having the highest and second highest mineral contents are determined as two high-content minerals from at least two other minerals except clay minerals in the minerals.

[0096] Step 4: Use the formula According to the mineral contents corresponding to the two high-content minerals, the main fracture complexity of the target rock sample is determined to be 0.9524.

[0097] Step 5: Use the formula According to the mineral contents and mineral Young's moduli corresponding to at least two high-content minerals, the main fracture connectivity of the target rock sample is determined to be 2.06 MPa.

[0098] Step 6: Use formula P z =G z L z According to the main fracture complexity and main fracture connectivity, the main fracture flow coefficient of the target rock sample is determined to be 1.96MPa. The specific determination results are shown in Table 2 below.

[0099] Table 2 Determination results of main crack flow coefficient

[0100]

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

[0102] Step 8: Use the formula According to the mineral contents and Young's moduli of at least two other minerals, the secondary fracture connectivity of the target rock sample is determined to be 1.53 MPa.

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

[0104] Table 3 Determination results of secondary fracture flow coefficient

[0105]

[0106] Step 10: Use the formula According to the mineral content corresponding to the clay minerals in each mineral and the target connectivity, the primary and secondary fracture interlacing coefficient of the target rock sample is determined to be 4.30.

[0107] Step 11: Use the formula BG=P z P c K g According to the main fracture flow coefficient, secondary fracture flow coefficient and primary and secondary fracture interlacing coefficient, the reservoir flow coefficient of the target reservoir is determined to be 8.09MPa. 2 , the reservoir flow coefficient is taken 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, and the device is used to execute the pore flow capacity determination method provided in any of the above embodiments. The device and the pore flow capacity determination method of the above embodiments belong to the same inventive concept, and the details not fully described in the embodiment of the pore flow capacity determination device can refer to the embodiment of the pore flow capacity determination method. Figure 5 The device may specifically include: a mineral Young's modulus determination module 510 and a pore flow capacity determination module 520.

[0109] The mineral Young's modulus determination module 510 is used to determine the total porosity and effective porosity of the target rock sample collected from the target reservoir, as well as the mineral content and mineral Young's modulus corresponding to 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 according to the total porosity and the effective porosity, as well as the mineral content and the mineral Young's modulus corresponding to each mineral.

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

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

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

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

[0115] A secondary fracture flow coefficient determination unit is used to determine the primary fracture flow coefficient and the secondary fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to each mineral;

[0116] A primary and secondary fracture interlacing coefficient determination unit is used to determine the primary and secondary fracture interlacing coefficients of the target rock sample according to the mineral content corresponding to the 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 according to the primary fracture flow coefficient, the secondary fracture flow coefficient and the primary and secondary fracture interlacing coefficient.

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

[0119] A high-content mineral determination subunit is used to determine at least two high-content minerals from at least two other minerals in each mineral except clay minerals according to the mineral contents corresponding to each mineral;

[0120] A main fracture flow coefficient determination subunit is used to determine the main fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to at least two high-content minerals respectively;

[0121] The secondary fracture flow coefficient determination subunit is used to determine the secondary fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to each mineral.

[0122] Optionally, based on the above device, a main fracture flow coefficient determination subunit can be used to:

[0123] Determine the main fracture complexity of the target rock sample according to the mineral contents corresponding to at least two high-content minerals;

[0124] Determine the connectivity of the main fractures of the target rock sample according to the mineral contents and Young's moduli of the minerals corresponding to at least two high-content minerals;

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

[0126] Optionally, based on the above device, a sub-fracture flow coefficient determination subunit can be used to:

[0127] Determine the secondary fracture complexity of the target rock sample according to the mineral content corresponding to each mineral;

[0128] Determine the secondary fracture connectivity of the target rock sample according to the mineral contents and the mineral Young's moduli corresponding to at least two other minerals;

[0129] The secondary fracture flow coefficient of the target rock sample is determined according to the secondary fracture complexity and secondary fracture connectivity.

[0130] Optionally, based on the above device, the secondary fracture flow coefficient determination subunit can be further specifically used for:

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

[0132] The pore flow capacity determination device provided in the embodiment of the present invention determines the total porosity and effective porosity of the target rock sample collected from the target reservoir through the mineral Young's modulus determination module, as well as the mineral content and mineral Young's modulus corresponding to each mineral contained in the target rock sample; the pore flow capacity determination module determines the pore flow capacity of the target reservoir according to the total porosity and effective porosity, as well as the mineral content and mineral Young's modulus corresponding to each mineral. The above device can determine the pore flow capacity of a tight gas reservoir through the total porosity, effective porosity and mineral composition.

[0133] The pore flow capacity determination device provided in the embodiment 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 execution method.

[0134] It is worth noting that in the embodiment 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-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0135] Figure 6A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment 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 processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

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

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

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

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

[0140] Various implementations 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 chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0141] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

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

[0143] To provide interaction with a user, the systems and techniques described herein may 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 a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0144] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0145] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0146] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0147] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining pore flow capacity, characterized in that: include: For a target rock sample collected from a 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; The pore flow capacity of the target reservoir is determined according to the total porosity and the effective porosity, as well as the mineral content and the mineral Young's modulus corresponding to each mineral.

2. The method according to claim 1, characterized in that Determining the 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, comprises: Determining a target connectivity according to the total porosity and the effective porosity; The pore flow capacity of the target reservoir is determined according to the target connectivity and the mineral content and the mineral Young's modulus corresponding to each of the minerals.

3. The method according to claim 2, characterized in that Determining the pore flow capacity of the target reservoir according to the target connectivity and the mineral content and the mineral Young's modulus corresponding to each mineral, comprises: Determine the primary fracture flow coefficient and the secondary fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to each of the minerals; Determine the primary and secondary fracture interlacing coefficient of the target rock sample according to the mineral content corresponding to the clay minerals in the minerals and the target connectivity; The pore flow capacity of the target reservoir is determined according to the primary fracture flow coefficient, the secondary fracture flow coefficient and the primary and secondary fracture interlacing coefficient.

4. The method according to claim 3, characterized in that Determining the primary fracture flow coefficient and the secondary fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to each mineral, respectively, includes: According to the mineral contents corresponding to the minerals, respectively, determining at least two high-content minerals from at least two other minerals among the minerals except the clay mineral; Determining the main fracture flow coefficient of the target rock sample according to the mineral contents and the mineral Young's moduli corresponding to the at least two high-content minerals respectively; The secondary fracture flow coefficient of the target rock sample is determined according to the mineral content and the mineral Young's modulus corresponding to each of the minerals.

5. The method according to claim 4, characterized in that Determining the main fracture flow coefficient of the target rock sample according to the mineral contents and the mineral Young's moduli respectively corresponding to the at least two high-content minerals includes: Determining the main fracture complexity of the target rock sample according to the mineral contents corresponding to the at least two high-content minerals respectively; Determining the connectivity of the main fractures of the target rock sample according to the mineral contents and the mineral Young's moduli corresponding to the at least two high-content minerals respectively; The main fracture flow coefficient of the target rock sample is determined according to the main fracture complexity and the main fracture connectivity.

6. The method according to claim 4, characterized in that Determining the secondary fracture flow coefficient of the target rock sample according to the mineral content and the mineral Young's modulus corresponding to each of the minerals includes: Determining the secondary fracture complexity of the target rock sample according to the mineral contents corresponding to the respective minerals; Determining the secondary fracture connectivity of the target rock sample according to the mineral contents and mineral Young's moduli corresponding to the at least two other minerals respectively; The secondary fracture flow coefficient of the target rock sample is determined according to the secondary fracture complexity and the secondary fracture connectivity.

7. The method according to claim 6, characterized in that Determining the secondary fracture complexity of the target rock sample according to the mineral contents corresponding to the minerals respectively includes: The secondary fracture complexity of the target rock sample is determined according to the mineral content of the clay mineral and the mineral contents corresponding to the at least two other minerals.

8. A device for determining pore flow capacity, characterized in that: include: A mineral Young's modulus determination module is used to determine the total porosity and effective porosity of a target rock sample collected from a target reservoir, as well as the mineral content and mineral Young's modulus corresponding to each mineral contained in the target rock sample; The pore flow capacity determination module is used to determine the pore flow capacity of the target reservoir according to the total porosity and the effective porosity, as well as the mineral content and the mineral Young's modulus corresponding to each mineral.

9. 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 executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the pore flow capacity determination method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the pore flow capacity determination method as described in any one of claims 1 to 7 when executed.

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