Method and system for calculating vertical permeability of reservoir based on anisotropy and electronic equipment

Abstract

The invention discloses a reservoir vertical permeability calculation method and system based on anisotropy and electronic equipment, and belongs to the technical field of tight reservoir evaluation in the field of oil-gas exploration. Based on conventional logging information, the method comprises the steps that an anisotropy model is constructed according to the obtained shale content, sandstone resistivity, pure mudstone resistivity and a stratigraphic dip angle of a reservoir; the vertical permeability of a target layer is obtained through iterative calculation in an anisotropic model, the influences of shale content, vertical stress, longitudinal stress and the like in the calculation process are considered, and the anisotropic model is constructed through the shale content of a reservoir, sandstone resistivity, pure mudstone resistivity and a stratigraphic dip angle; a vertical permeability model is constructed by combining rock physics experiments, the calculation precision is improved, the inspection cost is reduced, the vertical permeability can be effectively processed, well logging information can be guided to explain fine evaluation, and the problems that the vertical permeability of a complex reservoir is difficult to calculate and not wide in application range are solved.

Description

Technical Field

[0001] The invention belongs to the technical field of tight reservoir evaluation in the field of oil and gas exploration, and specifically relates to a method, system and electronic equipment for calculating vertical permeability of anisotropic reservoirs. Background Art

[0002] Permeability is an important parameter to measure the permeability of reservoirs and a key parameter in reservoir physical property evaluation. It plays a very important role in the exploration and development of oil and gas fields. Well logging evaluation of permeability is mostly achieved by establishing its relationship with other rock physical parameters to achieve indirect evaluation of permeability. The permeability in the horizontal direction is called horizontal permeability, and the permeability in the vertical direction is called vertical permeability. Interlayer heterogeneity is common in oil reservoirs. Due to the control of geological factors such as sedimentation, the size of reservoir permeability often shows anisotropic characteristics. Permeability anisotropy is a basic property of the reservoir. It reflects the degree of deviation between horizontal permeability and vertical permeability. It is the most important parameter for evaluating the macroscopic heterogeneity of the reservoir. The greater the permeability anisotropy, the more serious the reservoir heterogeneity. It will have a certain negative impact on the effective exploitation of the reservoir, mainly manifested in: the injected fluid is preferentially advanced along the direction with higher permeability, resulting in large differences in the water breakthrough time of production wells in different directions, resulting in an imbalance in the displacement process, thereby affecting the effect of reservoir development.

[0003] At present, the most common vertical permeability calculation method is mainly the laboratory core evaluation method, which is the most intuitive way to obtain permeability. However, the coring method is costly, which limits the development of this method. At the same time, it is not widely used. It usually requires the accumulation of a large amount of rock physics experimental data. At the same time, it does not consider the influence of factors such as mud content, vertical stress, and horizontal stress in complex reservoirs on vertical permeability. The method has great limitations. Therefore, the use of logging data to obtain rock permeability has developed rapidly, and many methods for using logging data to determine the horizontal permeability of rocks have been proposed, and good application results have been achieved. However, few methods can accurately evaluate the vertical permeability of the reservoir, so it is impossible to determine the anisotropy of the reservoir, and it is difficult to meet the reasonable design of the injection and production plan in the development and water injection stage. Summary of the invention

[0004] In order to overcome the shortcomings of the above-mentioned prior art, the purpose of the present invention is to provide a method, system and electronic equipment for calculating the vertical permeability of anisotropic reservoirs, so as to solve the technical problem that the prior art cannot accurately evaluate the vertical permeability of the reservoir and cannot determine the degree of anisotropy of the reservoir.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for calculating vertical permeability of a tight sandstone reservoir based on anisotropy comprises the following steps:

[0007] Obtain reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip;

[0008] An anisotropic model is constructed based on reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip;

[0009] The target layer logging data is input into the anisotropic model and the vertical permeability of the target layer is calculated iteratively.

[0010] Preferably, the method of obtaining the reservoir shale content by natural gamma logging to obtain the shale content of the target layer segment specifically includes:

[0011]

[0012]

[0013] Among them, GR min , GR max are the natural gamma values ​​of sandstone and mudstone layers respectively; ΔGR is the relative value of natural gamma of sandstone and mudstone layers; GCUR is the empirical coefficient related to the formation; V sh Reservoir mud content.

[0014] Preferably, the anisotropic model constructed according to the reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip is:

[0015]

[0016]

[0017]

[0018]

[0019] Among them, R h is the horizontal resistivity of the reservoir; R v is the vertical resistivity of the reservoir; V sh is the reservoir mud content; R sd is the resistivity of reservoir sandstone; R sh is the resistivity of pure mudstone; R a is the apparent resistivity, Ω.m; λ r is the resistivity anisotropy coefficient; θ is the formation dip.

[0020] Preferably, the target layer logging data is input into the anisotropic model to iteratively calculate the vertical permeability of the target layer, specifically: using the iterative method, setting the initial anisotropy value to 1, comparing the difference between the iteratively calculated apparent resistivity and the measured apparent resistivity, and calculating until the difference between the two is less than a given error ε0, determining the horizontal resistivity, vertical resistivity and resistivity anisotropy, and then determining the vertical permeability of the target layer.

[0021] Preferably, the vertical permeability of the target layer is determined by determining the permeability anisotropy according to the resistivity anisotropy in the reservoir, and then determining the vertical permeability of the target layer, and the relationship between the resistivity anisotropy and the permeability anisotropy in the reservoir is as follows:

[0022] λ k =·λ r +

[0023] Among them, λ k is the permeability anisotropy value; λ r is the resistivity anisotropy value in the reservoir; a and b are empirical parameters.

[0024] Preferably, the vertical permeability of the target layer is determined according to the permeability anisotropy, specifically:

[0025] K v = h · k 2

[0026] Among them, K v is the vertical permeability; K h is the horizontal permeability; k is the permeability anisotropy value.

[0027] The present invention also discloses an anisotropic model for calculating the vertical permeability of a tight sandstone reservoir, comprising:

[0028]

[0029]

[0030]

[0031]

[0032] Among them, R h is the horizontal resistivity of the reservoir; R v is the vertical resistivity of the reservoir; V sh is the reservoir mud content; R sd is the resistivity of reservoir sandstone; R sh is the resistivity of pure mudstone; R ais the apparent resistivity, Ω.m; λ r is the resistivity anisotropy coefficient; θ is the formation dip.

[0033] The present invention also discloses a system for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy, which is characterized by comprising:

[0034] An acquisition unit, used to obtain reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip;

[0035] A model building unit, used to build an anisotropic model according to reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip;

[0036] The calculation unit is used to input the target layer logging data into the anisotropic model to iteratively calculate the vertical permeability of the target layer.

[0037] The present invention also discloses an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy as described in any one of the above items are implemented.

[0038] The present invention also discloses a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy described in any one of the above are implemented.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention discloses a method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy. The method is based on conventional logging data and takes into account the influence of mud content, vertical stress and longitudinal stress in the calculation process. An anisotropic model is constructed through reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip angle. A vertical permeability model is constructed in combination with rock physics experiments to improve calculation accuracy and reduce inspection costs. The vertical permeability can be effectively processed to guide the fine evaluation of logging data interpretation, thus solving the problem of difficult calculation of vertical permeability of complex reservoirs and limited application. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the method steps of the present invention;

[0042] Figure 2 It is a schematic diagram of system connection of the present invention;

[0043] Figure 3 It is a schematic diagram of the steps of an embodiment of the present invention;

[0044] Figure 4 is the resistivity anisotropy and permeability anisotropy correlation diagram;

[0045] Figure 5 This is the resistivity anisotropy calculation result diagram;

[0046] Figure 6 This is the result diagram of vertical permeability calculation. DETAILED DESCRIPTION

[0047] 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.

[0048] 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 interchanged 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. In addition, the terms "including" and "having" and any variations thereof 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.

[0049] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0050] See also Figure 1 The present invention discloses a method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy, which is characterized by comprising the following steps:

[0051] S1: Obtain reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip;

[0052] S2: construct an anisotropic model based on reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip;

[0053] S3: Input the target layer logging data into the anisotropic model and iteratively calculate the vertical permeability of the target layer.

[0054] Based on conventional logging data, the effects of mud content, vertical stress and longitudinal stress in the calculation process are taken into account. An anisotropic model is constructed through reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip. A vertical permeability model is constructed in combination with rock physics experiments to improve calculation accuracy, reduce inspection costs, and solve the problems of difficult calculation and limited application of vertical permeability in complex reservoirs.

[0055] In some embodiments, the method of obtaining the reservoir shale content by natural gamma logging to obtain the shale content of the target layer section specifically includes:

[0056]

[0057]

[0058] Among them, GR min , GR max are the natural gamma values ​​of sandstone and mudstone layers respectively; ΔGR is the relative value of natural gamma of sandstone and mudstone layers; GCUR is the empirical coefficient related to the formation; V sh Reservoir mud content.

[0059] In some embodiments, the anisotropic model constructed according to the reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip is:

[0060]

[0061]

[0062]

[0063]

[0064] Among them, R h is the horizontal resistivity of the reservoir; R v is the vertical resistivity of the reservoir; V sh is the reservoir mud content; R sd is the resistivity of reservoir sandstone; R sh is the resistivity of pure mudstone; R a is the apparent resistivity, Ω.m; λ r is the resistivity anisotropy coefficient; θ is the formation dip.

[0065] In some embodiments, the target layer logging data is input into the anisotropic model to iteratively calculate the vertical permeability of the target layer. Specifically, the iterative method is used to set the initial anisotropy value to 1, and the difference between the iteratively calculated apparent resistivity and the measured apparent resistivity is compared. When the difference between the two is less than a given error ε0, the horizontal resistivity, vertical resistivity and resistivity anisotropy are determined, and then the vertical permeability of the target layer is determined.

[0066] In some embodiments, the vertical permeability of the target layer is determined by determining the permeability anisotropy according to the resistivity anisotropy in the reservoir, and then determining the vertical permeability of the target layer, and the relationship between the resistivity anisotropy and the permeability anisotropy in the reservoir is as follows:

[0067] λ k =·λ r +

[0068] Among them, λ k is the permeability anisotropy value; λ r is the resistivity anisotropy value in the reservoir; a and b are empirical parameters, see Figure 4 , a=-1.8727; b=2.9474.

[0069] In some embodiments, the vertical permeability of the target layer is determined according to the permeability anisotropy, specifically:

[0070] K v = h · k 2

[0071] Among them, K v is the vertical permeability; K h is the horizontal permeability; k is the permeability anisotropy value.

[0072] The present invention also discloses an anisotropic model for calculating the vertical permeability of a tight sandstone reservoir. Based on conventional well logging data, the influence of mud content, vertical stress and longitudinal stress in the calculation process is considered. The anisotropic model is constructed through reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip, including:

[0073]

[0074]

[0075]

[0076]

[0077] Among them, R his the horizontal resistivity of the reservoir; R v is the vertical resistivity of the reservoir; V sh is the reservoir mud content; R sd is the resistivity of reservoir sandstone; R sh is the resistivity of pure mudstone; R a is the apparent resistivity, Ω.m; λ r is the resistivity anisotropy coefficient; θ is the formation dip.

[0078] See also Figure 2 The present invention also discloses a system for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy, comprising:

[0079] An acquisition unit, used to obtain reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip;

[0080] A model building unit, used to build an anisotropic model according to reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip;

[0081] The calculation unit is used to input the target layer logging data into the anisotropic model to iteratively calculate the vertical permeability of the target layer.

[0082] Example:

[0083] See also Figure 3 Based on the anisotropic method of calculating the vertical permeability of tight sandstone reservoirs, conventional logging data is used to consider the influence of mud content, vertical stress and longitudinal stress in the calculation process, and an anisotropic calculation model is established. Finally, a vertical permeability model is constructed in combination with rock physics experiments. This can achieve rapid and accurate calculation of the vertical permeability of complex reservoirs, and more effectively provide reliable data for the design of water injection development plans, play a guiding role in the middle and late stages of exploration and development, and also have a good effect on complex reservoirs in a certain place. It specifically includes the following steps:

[0084] 101: First, the formation dip, array induction and natural gamma logging data of the study area are collected. Considering the influence of mud content on resistivity, natural gamma logging is used to process and obtain the mud content of the target layer.

[0085] Preferably, standardization and correction of conventional logging data is an existing mature processing method, and the calculation of mud content includes obtaining the natural gamma values ​​of sandstone and mudstone, and the division of new and old strata.

[0086] 102: Use the model formulas of formation apparent resistivity, resistivity anisotropy coefficient, horizontal resistivity and vertical resistivity to establish a set of equations.

[0087] Preferably, the equation group is established using model formulas of formation apparent resistivity, anisotropy coefficient, horizontal resistivity and vertical resistivity.

[0088] 103: Secondly, based on the established equations, the iterative convergence method is used to obtain the horizontal resistivity, vertical resistivity and resistivity anisotropy values ​​of the reservoir.

[0089] Preferably, from the equation group composed of 102, an iterative method is used, the initial anisotropy value is set to 1, the difference between the iteratively calculated apparent resistivity and the measured apparent resistivity is compared, and the difference between the two is calculated to be less than a given error ε0, thereby realizing the determination of the horizontal resistivity, vertical resistivity and resistivity anisotropy value of the reservoir.

[0090] 104: Then, based on the data obtained from rock physics experimental analysis, the relationship between resistivity anisotropy and permeability anisotropy was derived.

[0091] Preferably, in a tight sandstone reservoir, data on vertical resistivity, horizontal resistivity, vertical permeability and horizontal permeability are obtained through rock physics experimental analysis, and a relationship between resistivity anisotropy and permeability anisotropy can be obtained.

[0092] 105: Finally, based on the derived relationship between resistivity anisotropy and permeability anisotropy, combined with the well logging data in the study area, the permeability anisotropy value is used to calculate the vertical permeability of the reservoir.

[0093] Preferably, the permeability anisotropy value is calculated in step 104, and then the vertical permeability is calculated based on the permeability anisotropy value calculated by the permeability anisotropy.

[0094] The method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy of the present invention performs data processing according to the following steps.

[0095] Step 1: Collect the formation dip, array induction and natural gamma logging data in the study area. Considering the influence of mud content on resistivity, use natural gamma logging to process and obtain the mud content of the target layer.

[0096]

[0097]

[0098] Among them, GR min , GR max are the natural gamma values ​​of sandstone and mudstone layers respectively; ΔGR is the relative natural gamma value of sandstone and mudstone layers; GCUR is an empirical coefficient related to the stratum, GCUR=3.7 for new stratum (Tertiary stratum) and GCUR=2.0 for old stratum.

[0099] Step 2: Use the formula in step 1 to correct the mud content of the target well;

[0100] Step 3: Select the wells with natural gamma, resistivity and formation dip in the study area, and obtain the resistivity of the pure mudstone section, the resistivity of the sandstone reservoir section and the formation dip of the logging well section;

[0101] Step 4: Select the model formulas of formation apparent resistivity, anisotropy coefficient, horizontal resistivity and vertical resistivity in the study area to establish the equation group:

[0102]

[0103]

[0104]

[0105]

[0106] Where: R h is the horizontal resistivity of the reservoir, Ω·m; R v is the vertical resistivity of the reservoir, Ω·m; V sh is the reservoir mud content; R sd is the resistivity of reservoir sandstone, Ω·m; R sh is the resistivity of pure mudstone, Ω·m; R a is the apparent resistivity, Ω·m; λ r is the resistivity anisotropy coefficient; θ is the formation dip.

[0107] Step 5: Combining the resistivity and formation dip logging data, according to the equation group composed of the formula in step 4, using the iteration method, set the initial anisotropy value to 1, compare the difference between the iteratively calculated Ra and the measured Ra, and calculate until the difference between the two is less than the given error ε0, thereby realizing the determination of horizontal resistivity, vertical resistivity and resistivity anisotropy values.

[0108] Step 6: Using the resistivity logging data of Well DT2 in the study area, in the target layer reservoir, vertical resistivity, horizontal resistivity, vertical permeability and horizontal permeability are obtained through core experimental data analysis. The relationship between resistivity anisotropy and permeability anisotropy in the reservoir can be established as follows:

[0109]

[0110] K v = h · k 2

[0111] In the formula, λ k is the permeability anisotropy value; R h is the horizontal resistivity of the reservoir, Ω·m; R vis the vertical resistivity of the reservoir, Ω·m.

[0112] Step 7: Determine the permeability anisotropy value and vertical permeability according to the formula in step 6.

[0113] The value of vertical permeability can be calculated through the above steps.

[0114] Figure 5 A verification diagram of the resistivity anisotropy calculation result of the D-2 well is provided in the embodiment of the present invention; Figure 6 The vertical permeability of the D-2 well provided by the present invention calculated based on anisotropy is basically consistent with the core data results, which verifies the accuracy and reliability of this method, and can effectively process the vertical permeability and guide the detailed evaluation of the interpretation of well logging data.

[0115] The present invention also discloses an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy as described in any one of the above items are implemented.

[0116] The present invention also discloses a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy described in any one of the above are implemented.

[0117] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0118] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0119] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0120] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy, characterized in that: The following steps are involved: Obtain reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip; An anisotropic model is constructed based on reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip; The target layer logging data is input into the anisotropic model and the vertical permeability of the target layer is calculated iteratively.

2. The method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy according to claim 1, characterized in that: The method of obtaining the reservoir shale content by natural gamma logging processing to obtain the shale content of the target layer specifically includes: Among them, GR min , GR max are the natural gamma values ​​of sandstone and mudstone layers respectively; ΔGR is the relative value of natural gamma of sandstone and mudstone layers; GCUR is the empirical coefficient related to the formation; V sh Reservoir mud content.

3. The method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy according to claim 1, characterized in that: The anisotropic model constructed according to the reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip is: Among them, R h is the horizontal resistivity of the reservoir; R v is the vertical resistivity of the reservoir; V sh is the reservoir mud content; R sd is the resistivity of reservoir sandstone; R sh is the resistivity of pure mudstone; R a is the apparent resistivity, Ω.m; λ r is the resistivity anisotropy coefficient; θ is the formation dip.

4. The method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy according to claim 3, characterized in that: The target layer logging data is input into the anisotropic model to iteratively calculate the vertical permeability of the target layer. Specifically, the iterative method is used to set the initial anisotropy value to 1, and the difference between the iteratively calculated apparent resistivity and the measured apparent resistivity is compared. When the difference between the two is less than the given error ε0, the horizontal resistivity, vertical resistivity and resistivity anisotropy are determined, and then the vertical permeability of the target layer is determined.

5. The method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy according to claim 4, characterized in that: The vertical permeability of the target layer is determined by determining the permeability anisotropy according to the resistivity anisotropy in the reservoir, and then determining the vertical permeability of the target layer, and the relationship between the resistivity anisotropy and the permeability anisotropy in the reservoir is as follows: l k =a·λ r +b Among them, λ k is the permeability anisotropy value; λ r is the resistivity anisotropy value in the reservoir; a and b are empirical parameters.

6. The method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy according to claim 5, characterized in that: The vertical permeability of the target layer is determined according to the permeability anisotropy, specifically: K v =K h ·l k 2 Among them, K v is the vertical permeability; K h is the horizontal permeability; k is the permeability anisotropy value.

7. An anisotropic model for calculating vertical permeability of tight sandstone reservoirs, characterized in that: include: Among them, R h is the horizontal resistivity of the reservoir; R v is the vertical resistivity of the reservoir; V sh is the reservoir mud content; R sd is the resistivity of reservoir sandstone; R sh is the resistivity of pure mudstone; R a is the apparent resistivity, Ω.m; λ r is the resistivity anisotropy coefficient; θ is the formation dip.

8. A system for calculating vertical permeability of tight sandstone reservoirs based on anisotropy, characterized in that: include: An acquisition unit, used to obtain reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip; A model building unit, used to build an anisotropic model according to reservoir mud content, sandstone resistivity, pure mudstone resistivity and formation dip; The calculation unit is used to input the target layer logging data into the anisotropic model to iteratively calculate the vertical permeability of the target layer.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy as described in any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for calculating the vertical permeability of a tight sandstone reservoir based on anisotropy as described in any one of claims 1 to 6.

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