Reservoir attribute evaluation method and device for fractured well and storage medium
By constructing a three-dimensional reservoir model and adjusting the grid weight value using the average extension distance of the fracture, the problem of inaccurate reservoir attribute evaluation in the existing technology is solved, and more effective reservoir characteristic evaluation and fracturing design are achieved, which improves reservoir production performance.
Patent Information
- Application Number
- CN202510208949.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-25
- Publication Date
- 2025-04-25
AI Technical Summary
The existing technology is difficult to effectively evaluate the reservoir properties, resulting in the engineering completion design not meeting the reservoir characteristics, affecting the fracturing coverage range and reservoir production performance.
By obtaining the detection data at the fractured wells of the reservoir, a three-dimensional model is constructed and the grid attribute parameters are determined, a preset weight function is constructed based on the average extension distance of the fracture, the grid weight value is adjusted to reflect the characteristics of the fracture extension, and the reservoir evaluation parameters are then determined.
By more accurately evaluating reservoir properties, design parameters that are more in line with reservoir characteristics are provided, and the coverage range of fracturing wells and reservoir production performance are improved.
Smart Images
Figure CN119878121A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of horizontal well fracturing in oil and gas field development, and in particular to a reservoir property evaluation method, device and storage medium for fracturing wells. Background Art
[0002] For unconventional oil and gas reservoirs, multi-stage fracturing completion of horizontal wells is an essential part of efficient development. Previous practice has shown that compared with geometric completion design, engineering completion design can improve the coverage of lateral fracturing and the performance of producing reservoirs. Since the current engineering completion design is generally based on reservoir attributes such as reservoir quality and geological quality to implement fracturing design, how to better evaluate reservoir attributes is a technical problem that needs to be solved in order to determine and implement an engineering completion design that is more in line with reservoir characteristics. Summary of the invention
[0003] The purpose of the embodiments of the present application is to provide a reservoir property evaluation method, device and storage medium for a fracturing well, so as to solve the technical problem of how to better evaluate reservoir properties in the prior art.
[0004] In order to achieve the above-mentioned object, the present application provides, in a first aspect, a reservoir property evaluation method for a fracturing well, comprising:
[0005] Acquiring reservoir detection data at a well where the reservoir has been fractured;
[0006] Construct a three-dimensional model of the reservoir at the fracturing well to be evaluated, and determine the reservoir attribute parameters of each grid in the three-dimensional model based on the reservoir detection data;
[0007] Determine the average extension distance of fractures at the wells in the reservoir that have been fractured based on reservoir exploration data;
[0008] A preset weight function is constructed according to the average extension distance of the cracks, and a weight value of each effective grid in the three-dimensional model is determined by the preset weight function;
[0009] In each effective grid, a weighted attribute parameter of the effective grid is determined according to the weight value and the reservoir attribute parameter;
[0010] The reservoir evaluation parameters of the wellbore grid are determined according to the sum of the weighted attribute parameters of each effective grid on the cross section perpendicular to the arrangement direction of the wellbore grid of the to-be-evaluated fracturing well.
[0011] In an embodiment of the present application, the average extension distance of the cracks is used to determine the coordinate range of the effective grids in the three-dimensional model; a preset weight function is constructed based on the average extension distance of the cracks, and the weight value of each effective grid in the three-dimensional model is determined by the preset weight function, including: taking the wellbore grid as the starting position of the crack in the three-dimensional model, determining the ratio of the average extension distance of the cracks to the grid scale of the three-dimensional model; determining the domain of the preset weight function based on the ratio; determining the grid as a valid grid when the grid coordinates of the grid in the three-dimensional model belong to the domain; determining the weight value of the effective grid through the preset weight function based on the grid coordinates of the effective grid.
[0012] In an embodiment of the present application, a preset weight function is used to express the crack attenuation law, and the weight function includes at least one of a constant weight function, a linear attenuation function, an elliptical attenuation function, an exponential attenuation function and a quadratic attenuation function; the reservoir property evaluation method for a fracturing well also includes: determining the crack attenuation law at the reservoir fractured well according to reservoir detection data; and determining the weight function according to the crack attenuation law.
[0013] In an embodiment of the present application, the crack attenuation law at the reservoir fractured well is determined according to the reservoir detection data, including: determining the crack height change law at the reservoir fractured well according to the reservoir detection data, wherein the direction of the crack height is perpendicular to the direction of the average extension distance of the crack; determining the crack attenuation law according to the crack height change law.
[0014] In an embodiment of the present application, the average extension distance of the fracture includes mutually orthogonal vertical average extension distance and plane average extension distance; the weight value of each effective grid in the three-dimensional model is determined by a preset weight function, including: determining the vertical weight value of each effective grid along the vertical direction according to the vertical average extension distance and the preset weight function; determining the plane weight value of each effective grid along the plane direction according to the plane average extension distance and the preset weight function; in each effective grid, determining the weighted attribute parameters of the effective grid according to the weight value and reservoir attribute parameters, including: determining the weighted attribute parameters of each effective grid according to the weighted sum of the reservoir attribute parameters of each effective grid with the vertical weight value and the plane weight value.
[0015] In the embodiment of the present application, the reservoir property parameters include oil saturation; the reservoir property evaluation method for a fracturing well also includes: performing fracturing construction in each reservoir section of the fracturing well to be evaluated according to the reservoir evaluation parameters.
[0016] In an embodiment of the present application, fracturing construction is performed in each reservoir section of the fracturing well to be evaluated according to the reservoir evaluation parameters, including: determining reservoir quality parameters of each reservoir section of the fracturing well to be evaluated according to the reservoir evaluation parameters; determining completion quality parameters of each reservoir section of the fracturing well to be evaluated according to the reservoir evaluation parameters; determining geological quality parameters of each reservoir section of the fracturing well to be evaluated according to the reservoir evaluation parameters; and performing fracturing construction on the reservoirs in each section according to the reservoir quality parameters, completion quality parameters and geological quality parameters of each reservoir section.
[0017] In an embodiment of the present application, fracturing construction is performed on the reservoirs in each section according to the reservoir quality parameters, geological quality parameters and completion quality parameters of each section of the reservoir, including: when the reservoir quality parameter of the current section of the reservoir is greater than a preset reservoir quality parameter threshold, and the completion quality parameter of the current section of the reservoir is greater than the preset completion quality parameter threshold, perforating the wellbore corresponding to the current section of the reservoir; determining the fracturing well construction parameters of the current section of the reservoir according to the reservoir quality parameters, completion quality parameters and geological quality parameters.
[0018] The second aspect of the present application provides a device for fracturing well construction, comprising: a memory configured to store instructions; and a processor configured to call instructions from the memory and implement the reservoir property evaluation method for fracturing wells provided in the first aspect of the present application when executing the instructions.
[0019] A third aspect of the present application provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the reservoir property evaluation method for a fracturing well provided in accordance with the first aspect of the present application.
[0020] Through the above technical solution, the reservoir attribute parameters can be adjusted based on the preset weight function determined by the fracture extension characteristics, so that the influence of the fracture extension characteristics on the reservoir can be reflected in the reservoir evaluation parameters, so as to evaluate the surrounding reservoirs at different positions of the wellbore through reservoir evaluation parameters that are more in line with the reservoir characteristics, so as to provide guidance for the segment cluster design and construction parameters of each fracturing section in the wellbore.
[0021] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the accompanying drawings:
[0023] Figure 1 A schematic diagram of a flow chart of a reservoir property evaluation method for a fracturing well according to an embodiment of the present application is schematically shown;
[0024] Figure 2 A schematic diagram of a process flow of another reservoir property evaluation method for a fracturing well according to an embodiment of the present application is schematically shown;
[0025] Figure 3 A schematic diagram of a flow chart of another reservoir property evaluation method for a fracturing well according to an embodiment of the present application is schematically shown. DETAILED DESCRIPTION
[0026] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the specific implementation methods described herein are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.
[0027] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application are in compliance with the relevant provisions of national laws and regulations. In the embodiments of this application, some existing solutions in the industry such as certain software, components, and models may be mentioned, which should be considered as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.
[0028] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back...), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.
[0029] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.
[0030] In the process of multi-stage fracturing completion of horizontal wells in unconventional oil and gas reservoirs, engineering completion can improve the coverage of lateral fracturing and the performance of production reservoirs. Engineering completion design is based on reservoir evaluation parameters such as reservoir quality parameters and completion quality parameters. However, these parameters can only represent the reservoir and geomechanical properties within a few meters from the horizontal wellbore, but hydraulic fractures formed by hydraulic fracturing can penetrate up to tens of meters or even hundreds of meters in different directions. Therefore, an embodiment of the present application provides a reservoir property evaluation method for a fracturing well. In order to fully consider the influence of the fracture extension characteristics in the reservoir on the reservoir properties when evaluating the reservoir properties, the method simulates the average extension distance of the fractures in the reservoir based on the reservoir detection data at the fracturing well of the reservoir, and in the three-dimensional model of the established fracturing well to be evaluated, the weight value of each grid in the three-dimensional model is determined by a preset weight function to express the influence of the fracture extension characteristics on the grid. The weighted attribute parameters of each grid based on the weight value are then projected onto the corresponding wellbore grid to obtain reservoir evaluation parameters, thereby evaluating the reservoir properties based on the obtained reservoir evaluation parameters and providing support for subsequent fracturing construction at the fracturing well to be evaluated.
[0031] See also Figure 1 The present application embodiment provides a reservoir property evaluation method for a fracturing well, comprising:
[0032] S102, obtaining reservoir detection data at a well where the reservoir has been fractured;
[0033] S104, constructing a three-dimensional model of the reservoir at the fracturing well to be evaluated, and determining the reservoir attribute parameters of each grid in the three-dimensional model according to the reservoir detection data; and determining the average extension distance of the fractures at the fracturing well of the reservoir according to the reservoir detection data;
[0034] S106, constructing a preset weight function according to the average extension distance of the cracks, and determining the weight value of each valid grid in the three-dimensional model through the preset weight function;
[0035] S108, in each effective grid, determining the weighted attribute parameter of the effective grid according to the weight value and the reservoir attribute parameter;
[0036] S110, determining the reservoir evaluation parameters of the wellbore grid according to the sum of the weighted attribute parameters of each effective grid on the cross section perpendicular to the arrangement direction of the wellbore grid of the to-be-evaluated fracturing well.
[0037] The reservoir attribute evaluation method for a fracturing well provided in an embodiment of the present application determines the reservoir attribute parameters of each grid in the three-dimensional model of the reservoir based on the reservoir detection data obtained at the fracturing well of the reservoir, and determines the average extension distance of the cracks at the fracturing well based on the reservoir detection data. Then, a preset weight function is constructed by the average extension distance of the cracks to express the influence of the cracks on the reservoir attribute parameters of different regions in the reservoir through the preset weight function. Then, the weight value of each effective grid can be determined in the three-dimensional model according to the preset weight function, and the weighted attribute parameters of the effective grid can be determined based on the weight value of the effective grid and the reservoir attribute parameters, thereby reflecting the influence of the cracks on the attribute parameters. Then, the reservoir evaluation parameters of the wellbore grid are determined according to the sum of the weighted attribute parameters of each effective grid on the cross section perpendicular to the arrangement direction of the wellbore grid of the fracturing well to be evaluated, thereby determining the reservoir evaluation parameters of each wellbore grid in the arrangement direction of the wellbore grid. The reservoir property evaluation method for a fracturing well provided in an embodiment of the present application adjusts reservoir property parameters based on a preset weight function determined by fracture extension characteristics, thereby evaluating the surrounding reservoirs at different positions of the wellbore with reservoir evaluation parameters that are more consistent with reservoir characteristics, so as to provide guidance for the segment cluster design and construction parameters of each fracturing segment in the wellbore.
[0038] It can be understood that the reservoir detection data in step S102 may include: a resistivity curve of the reservoir, reservoir porosity, microseismic monitoring data, strain data around the wellbore wall of the fractured well, and fracture morphology of the sampled core.
[0039] Specifically, step S102 may include: obtaining a resistivity curve through resistivity logging, obtaining microseismic events during fracture extension through microseismic monitoring, obtaining reservoir cores through field acquisition to determine the fracture morphology of the cores, and determining strain data around the wellbore wall through optical fiber monitoring methods.
[0040] It can be understood that the reservoir attribute parameters in step S104 may include: oil saturation and porosity.
[0041] Specifically, step S104 may include: determining the oil saturation and porosity of the reservoir as the attribute parameters of the reservoir according to the resistivity curve; simulating the fractures of the reservoir around the fractured well by net pressure fitting and production dynamic analysis method according to the microseismic monitoring data and the fracture morphology of the sampled core to obtain the average extension distance of the fractures at the fractured well.
[0042] In some embodiments of the present application, the average extension distance of the crack is used to determine the coordinate range of the effective grid in the three-dimensional model; Figure 2 As shown, step S106 may include:
[0043] S202, using the wellbore grid as the fracture start position in the three-dimensional model, and determining the ratio of the average fracture extension distance to the grid scale of the three-dimensional model;
[0044] S204, determining a definition domain of a preset weight function according to the ratio;
[0045] S206, when the grid coordinates of the grid in the three-dimensional model belong to the definition domain, determining the grid as a valid grid;
[0046] S208. Determine the weight value of the valid grid by using a preset weight function according to the grid coordinates of the valid grid.
[0047] Since different positions of the reservoir in the three-dimensional model are distinguished by grid coordinates, in order to determine the weight value of the effective grid through the preset weight function, the grid coordinates need to be used as the independent variable of the preset weight function. Therefore, the above steps determine the definition domain of the preset weight function by the ratio of the average extension distance of the fracture to the grid scale, thereby determining the coordinate range of the grid with weight values in the three-dimensional model. These grids with weight values are effective grids, and the coordinate range of the effective grid expresses the influence range of the average extension distance of the fracture on the grid in the three-dimensional model.
[0048] In some embodiments of the present application, a preset weight function is used to express the crack attenuation law, and the weight function includes at least one of a constant weight function, a linear attenuation function, an elliptical attenuation function, an exponential attenuation function, and a quadratic attenuation function; the reservoir property evaluation method for a fracturing well may also include:
[0049] Determine the fracture attenuation law at the fractured wells in the reservoir based on reservoir exploration data;
[0050] The weight function is determined according to the crack attenuation law.
[0051] Since the cracks extending from the wellbore to the reservoir will gradually decay to disappear as the distance from the wellbore increases, and the existence of the cracks will affect the reservoir attribute parameters. Therefore, as the cracks decay, their impact on the reservoir attribute parameters will also change. Therefore, the embodiment of the present application determines the preset weight function according to the crack decay law, so as to reflect the change of the impact of the crack decay law on the reservoir attribute parameters through the preset weight function.
[0052] It can be understood that the crack attenuation law can be, for example, the crack height change law. The constant weight function can be, for example:
[0053] f(m)=1,m∈[0,m c ]. (1)
[0054] The linear decay function may be, for example:
[0055]
[0056] The elliptical decay function may be, for example:
[0057]
[0058] The exponential decay function may be, for example:
[0059]
[0060] The quadratic decay function may be, for example:
[0061]
[0062] In formulas (1) to (5), m c is the ratio of the average extension distance of the fracture to the grid size of the 3D model, and m is the minimum number of grids between the effective grid and the wellbore grid.
[0063] The above preset weight function indicates that when m <m c When m>m, the function value of the preset weight function gradually decreases, indicating that the crack is easy to grow to this grid and is conducive to production growth, but its influence gradually decreases; when m>m c When , the function value of the preset weight function is reduced to a negligible level, and the influence of the cracks on these grids can be ignored.
[0064] Specifically, the fracture attenuation law of the fractured well in the reservoir is determined based on the reservoir detection data, including:
[0065] Determine the variation law of fracture height at the fractured well of the reservoir according to the reservoir detection data, wherein the direction of the fracture height is perpendicular to the direction of the average extension distance of the fracture;
[0066] The crack attenuation law is determined according to the crack height change law.
[0067] As an example, determining the crack height variation law at the fractured well of the reservoir according to the reservoir detection data may include:
[0068] Perform fracture simulation on the reservoir around the fractured well according to the reservoir detection data to obtain the fracture spatial distribution result around the fractured well;
[0069] In the crack spatial distribution results, multiple equidistant sampling points on the cracks are determined along the direction of the average extension distance of the cracks;
[0070] Obtain the crack height at multiple equally spaced sampling points;
[0071] The crack height variation curve along the direction of the average extension distance of the crack is determined according to the crack heights of multiple equidistant sampling points, and the crack height variation curve is determined as the crack height variation law.
[0072] Accordingly, after determining the crack height variation law, determining the crack attenuation law according to the crack height variation law may include:
[0073] Determine the difference between the crack height change curve and the difference between the multiple weight functions respectively through the difference algorithm between the curves;
[0074] The weight function with the smallest difference value is selected as the preset weight function for expressing the crack attenuation law.
[0075] The difference algorithm between the curves may be, for example, a mean square error algorithm, a curve coincidence algorithm, a maximum deviation algorithm, etc., and the corresponding difference values are the mean square error, the curve coincidence, and the maximum deviation value.
[0076] In addition, in some embodiments of the present application, the preset weight function can also be determined by artificial observation through the fracture height change curve. For example, when performing fracture simulation on the reservoir around the fractured well based on the reservoir detection data, a distribution cloud map of the fracture height can be drawn in the model used for fracture simulation, and thus the preset weight function can also be selected through the cloud map by artificial observation.
[0077] Since the extension direction of the crack is not a single direction, for the horizontal section located in the target layer, the fracturing design should not only consider the reservoir properties of the horizontal section where the wellbore is located, but also the changes in the vertical height properties of the reservoir. For the horizontal section located above or below the target layer, the possibility of the crack extending to other target layers should be especially considered. Therefore, in order to reflect the characteristics of the crack extending in different directions, in some embodiments of the present application, the average extension distance of the crack may include mutually orthogonal vertical average extension distance and planar direction average extension distance;
[0078] like Figure 3 As shown, determining the weight value of each valid grid in the three-dimensional model by using a preset weight function in step S106 may include:
[0079] S302, determining a vertical weight value of each valid grid along the vertical direction according to the vertical average extension distance and a preset weight function;
[0080] S304, determining the plane weight value of each valid grid along the plane direction according to the average extension distance in the plane direction and a preset weight function;
[0081] Step S108 may include:
[0082] S306. Determine the weighted attribute parameters of each effective grid according to the weighted sum of the reservoir attribute parameters of each effective grid and the vertical weight value and the plane weight value.
[0083] As an example, the weighted attribute parameters of the effective grid may be:
[0084] PQ grid [i,j,k]=f grid[i,j,k]GET qualityproperty [i,j,k]. (6)
[0085] In formula (6), f grid [i,j,k] is the vertical weight value or plane weight value of the effective grid with coordinates (i,j,k) in the three-dimensional model, GET qualityproperty [i,j,k] is the reservoir attribute parameter of the effective grid of the (i,j,k) coordinate, and (i,j,k) is the coordinate in the three-dimensional rectangular coordinate system.
[0086] After determining the weighted attribute parameters of each valid grid, step S110 may be performed. Based on the above example, the reservoir evaluation parameters of the wellbore grid may be determined by the following steps:
[0087] For example, in a three-dimensional model, the plane where the wellbore is located is (i, j, k0), and the j direction is the wellbore grid arrangement direction. The weight values of the effective grids in the plane corresponding to different k can be accumulated to the grid corresponding to k0 through the following formula:
[0088]
[0089] Among them, PQ plane [i,j,k0] is used to express the sum of the weighted attribute parameters obtained based on formula (7) on the grid with coordinates (i,j,k0) in k0.
[0090] The reservoir evaluation parameters of each wellbore grid are then determined by the following formula:
[0091]
[0092] In formula (8), PQ wellbore [i0,j,k0] is the reservoir evaluation parameter value of the wellbore grid with coordinate j along the wellbore direction.
[0093] Reservoir evaluation parameter PQ wellbore It is a one-dimensional attribute that varies with j and varies along the horizontal wellbore in the same way as RQ and CQ. After the reservoir evaluation parameters are determined, they can be used to evaluate the surrounding reservoir at different positions in the wellbore to provide guidance for the segment cluster design and construction parameters of each fracturing stage in the wellbore.
[0094] In some embodiments of the present application, the reservoir property parameter includes oil saturation; the method further includes:
[0095] According to the reservoir evaluation parameters, fracturing construction is carried out in each section of the reservoir of the fracturing well to be evaluated.
[0096] Specifically, fracturing operations are performed in each reservoir section of the fracturing well to be evaluated according to the reservoir evaluation parameters, including:
[0097] Determine the reservoir quality parameters of each section of the reservoir in the to-be-evaluated fracturing well according to the reservoir evaluation parameters;
[0098] Determine the completion quality parameters of each section of the reservoir in the to-be-evaluated fracturing well according to the reservoir evaluation parameters;
[0099] Determine the geological quality parameters of each section of the reservoir in the fracturing well to be evaluated based on the reservoir evaluation parameters;
[0100] According to the reservoir quality parameters, completion quality parameters and geological quality parameters of each reservoir section, fracturing construction is carried out on the reservoirs in each section.
[0101] It can be understood that the Reservoir Quality (RQ) parameter represents the physical characteristics of the reservoir, especially its evaluation of its storage and flow capacity for oil and gas. The Completion Quality (CQ) parameter involves the contact effect between the wellbore and the reservoir, the degree of fracturing, the optimization of the wellhead equipment, etc., which affects the final oil and gas production effect. The Geological Quality (GQ) parameter reflects the geological characteristics of the reservoir, including factors such as lithology, sedimentary environment, bedding development, and fracture distribution.
[0102] In some embodiments of the present application, fracturing operations are performed on the reservoirs in each section according to the reservoir quality parameters, geological quality parameters and completion quality parameters of each section of the reservoir, which may include:
[0103] When the reservoir quality parameter of the current reservoir section is greater than the preset reservoir quality parameter threshold, and the completion quality parameter of the current reservoir section is greater than the preset completion quality parameter threshold, perforating is performed at the wellbore corresponding to the current reservoir section;
[0104] The fracturing well construction parameters of the current reservoir section are determined based on reservoir quality parameters, completion quality parameters and geological quality parameters.
[0105] The higher the value of the reservoir quality parameter, the higher the overall oil saturation of the reservoir in three-dimensional space and the better the reservoir quality. The fracturing wells can be designed in segments and clusters based on the reservoir quality parameters and completion quality parameters, and perforations can be performed in places where the reservoir quality parameters and completion quality parameters are good, avoiding places where the reservoir quality parameters and completion quality parameters are poor.
[0106] The higher the value of the geological quality parameter, the better the overall geological quality of the three-dimensional space of the formation. The construction parameters of the fracturing well can be designed and optimized based on the geological quality parameters, reservoir quality parameters and completion quality parameters.
[0107] As an example, the geological quality parameters are good, the reservoir quality parameters are good, and the completion quality parameters are good: this type indicates that the horizontal well section is located in a thick target layer. This type of transformation section represents the best reservoir, with the best fracturing effect and the highest production, and can enhance the transformation.
[0108] As another example, the geological quality parameters are poor, the reservoir quality parameters are good, and the completion quality parameters are good: this type indicates that the horizontal well section is located in a better target layer, but the target layer around the wellbore is limited by thickness or width. This type is easy to operate in the early fracturing stage, but may be affected by the limited reservoir height or width in the later fracturing. The production contribution decreases rapidly in the later stage of production, so the amount of fracturing fluid and proppant can be reduced.
[0109] As another example, the geological quality parameters are good, the reservoir quality parameters are poor, and the completion quality parameters are poor: this type indicates that the horizontal section of the wellbore is in the non-target layer, but there is an oil-bearing target layer near the wellbore. This type may have potential production contribution. The non-target layer area near the wellbore can be broken through by optimizing the fracture geometry and appropriate fracturing optimization plan to establish a connection with the distant target layer, thereby increasing the production. Therefore, it is necessary to increase the amount of fracturing fluid and proppant to connect the distant wellbore.
[0110] As another example, poor geological quality parameters, poor reservoir quality parameters, and poor completion quality parameters: this type indicates that not only are the reservoir conditions near the horizontal section of the wellbore relatively poor, but the area outside the wellbore is also a non-target layer. This type of transformation section represents the highest construction risk and the lowest production. This combination of transformation sections can be considered abandoned during construction or the amount of fracturing fluid and proppant used can be reduced.
[0111] An embodiment of the present application also provides a device for fracturing well construction, which may include a memory and a processor.
[0112] The memory is configured to store instructions;
[0113] The processor is configured to call instructions from the memory and implement the reservoir property evaluation method for a fractured well provided in the above embodiment when executing the instructions.
[0114] An embodiment of the present application also provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the reservoir property evaluation method for a fracturing well provided in the above embodiment.
[0115] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt 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.) that contain computer-usable program code.
[0116] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes 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 generate 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.
[0117] 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.
[0118] 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.
[0119] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0120] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.
[0121] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.
[0122] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.
[0123] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.
Claims
1. A reservoir property evaluation method for a fracturing well, characterized in that: include: Acquiring reservoir detection data at a well where the reservoir has been fractured; Constructing a three-dimensional model of the reservoir at the fracturing well to be evaluated, and determining the reservoir attribute parameters of each grid in the three-dimensional model according to the reservoir detection data; Determine the average extension distance of the fractures at the fractured wells in the reservoir according to the reservoir detection data; Constructing a preset weight function according to the average extension distance of the cracks, and determining a weight value of each effective grid in the three-dimensional model by using the preset weight function; In each of the effective grids, determining a weighted attribute parameter of the effective grid according to the weight value and the reservoir attribute parameter; The reservoir evaluation parameters of the wellbore grid are determined according to the sum of weighted attribute parameters of each effective grid on a cross section perpendicular to the arrangement direction of the wellbore grid of the to-be-evaluated fracturing well.
2. The method according to claim 1, characterized in that: The average extension distance of the cracks is used to determine the coordinate range of the effective grid in the three-dimensional model; The step of constructing a preset weight function according to the average extension distance of the cracks, and determining the weight value of each valid grid in the three-dimensional model by using the preset weight function, comprises: Taking the wellbore grid as the fracture starting position in the three-dimensional model, determining the ratio of the average extension distance of the fracture to the grid scale of the three-dimensional model; Determining a definition domain of the preset weight function according to the ratio; In the case where the grid coordinates of the grid in the three-dimensional model belong to the definition domain, determining the grid as the valid grid; According to the grid coordinates of the effective grid, the weight value of the effective grid is determined by the preset weight function.
3. The method according to claim 2, characterized in that The preset weight function is used to express the crack attenuation law, and the weight function includes at least one of a constant weight function, a linear attenuation function, an elliptical attenuation function, an exponential attenuation function, and a quadratic attenuation function; The method further comprises: Determine the fracture attenuation law at the fractured well of the reservoir according to the reservoir detection data; The weight function is determined according to the crack attenuation law.
4. The method according to claim 3, characterized in that The method of determining the fracture attenuation law at the fractured well of the reservoir according to the reservoir detection data comprises: Determine, based on the reservoir detection data, a crack height variation rule at a well in the reservoir that has been fractured, wherein the direction of the crack height is perpendicular to the direction of the average extension distance of the crack; The crack attenuation law is determined according to the crack height variation law.
5. The method according to claim 1, characterized in that The average extension distance of the cracks includes an average vertical extension distance and an average planar extension distance that are orthogonal to each other; Determining the weight value of each valid grid in the three-dimensional model by using the preset weight function includes: Determine a vertical weight value of each of the valid grids along the vertical direction according to the vertical average extension distance and the preset weight function; Determine a plane weight value of each of the valid grids along the plane direction according to the average extension distance in the plane direction and the preset weight function; Determining, in each of the effective grids, the weighted attribute parameters of the effective grid according to the weight value and the reservoir attribute parameter comprises: The weighted attribute parameters of each of the effective grids are determined according to the weighted sum of the reservoir attribute parameters of each of the effective grids and the vertical weight value and the plane weight value.
6. The method according to claim 1, characterized in that The reservoir attribute parameter includes oil saturation; the method further includes: According to the reservoir evaluation parameters, fracturing construction is performed in each section of the reservoir in the fracturing well to be evaluated.
7. The method according to claim 6, characterized in that The method of performing fracturing operation in each reservoir section of the to-be-evaluated fracturing well according to the reservoir evaluation parameters includes: Determining reservoir quality parameters of each section of the reservoir in the to-be-evaluated fracturing well according to the reservoir evaluation parameters; Determining completion quality parameters of each section of the reservoir in the to-be-evaluated fracturing well according to the reservoir evaluation parameters; Determining the geological quality parameters of each section of the reservoir in the to-be-evaluated fracturing well according to the reservoir evaluation parameters; The reservoirs in the respective sections are subjected to fracturing operations according to the reservoir quality parameters, the completion quality parameters and the geological quality parameters of the reservoirs in the respective sections.
8. The method according to claim 7, characterized in that The fracturing operation is performed on the reservoirs in each section according to the reservoir quality parameters, the geological quality parameters and the completion quality parameters of the reservoirs in each section, including: When the reservoir quality parameter of the current reservoir section is greater than a preset reservoir quality parameter threshold, and the completion quality parameter of the current reservoir section is greater than the preset completion quality parameter threshold, perforating the wellbore corresponding to the current reservoir section; The fracturing well construction parameters of the current reservoir section are determined according to the reservoir quality parameters, the completion quality parameters and the geological quality parameters.
9. A device for fracturing well construction, characterized in that: include: a memory configured to store instructions; as well as A processor is configured to call the instructions from the memory and implement the reservoir property evaluation method for a fractured well according to any one of claims 1 to 8 when executing the instructions.
10. A machine-readable storage medium, characterized in that: The machine-readable storage medium stores instructions for causing a machine to execute a reservoir property evaluation method for a fractured well according to any one of claims 1 to 8.