Crack quantitative identification method, device and equipment and oil-gas exploration method, device and equipment based on crack quantitative identification method

Abstract

The invention provides a crack quantitative recognition method, device and equipment and an oil-gas exploration method, device and equipment based on the crack quantitative recognition method. The crack quantitative recognition method comprises the steps that a target interval of current well crack development in an area is obtained; according to the well logging parameters and the well logging parameters of the current well, the single fracture development coefficient of each depth point of the target interval of the current well is calculated, and the single fracture development coefficient is used for quantitatively representing the fracture development condition of each depth point of the target interval of the current well; according to the single fracture development coefficient of the current well target interval and the length of the target interval, the fracture development coefficient of the current well target interval is calculated, and the fracture development coefficient is used for quantitatively representing the fracture development condition of the current well target interval. According to the invention, quantitative identification of underground cracks can be rapidly and simply realized.

Description

Technical Field

[0001] The present invention relates to the field of oil and gas exploration, and in particular to a method, device and equipment for quantitatively identifying fractures and oil and gas exploration based thereon. Background Art

[0002] With the development of the petroleum industry and technological advancements, the exploration of ultra-deep and unconventional oil and gas reservoirs is becoming increasingly important. The main storage spaces in ultra-deep and tight formations are fractures and their associated dissolution pores. The identification of fractures in downhole reservoirs is accomplished through drilling fluid loss or oil testing, which lacks timeliness. The characterization of the degree of fracture development is mainly based on core descriptions and imaging logging. However, due to the general scarcity of cores, especially in fracture-developed sections, cores are generally not taken to ensure drilling safety. The identification of imaging logging has the problems of high personnel requirements and limited recognition accuracy. The general recognition rate is only 20%. It can be used to detect fractures with a medium degree of development or above, but micro-fractures cannot be identified, making comprehensive identification impossible. Although existing technologies have achieved quantitative identification of fracture sections based on fractals and the differences between fracture development sections and bedrock, they have the problems of relatively complex calculation processes and slow recognition speeds.

[0003] Therefore, there is an urgent need for a quantitative crack identification method that can quickly and concisely realize the quantitative identification of underground cracks. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, device and equipment for quantitative identification of fractures and oil and gas exploration based thereon, so as to realize quantitative identification of downhole fractures quickly and concisely.

[0005] To achieve the above objectives, the present invention provides a method for quantitatively identifying cracks, comprising:

[0006] Obtain the target layer with developed fractures in the current well in the area;

[0007] Calculating the single fracture development coefficient at each depth point of the target layer of the current well based on the well logging parameters and mud logging parameters of the current well, wherein the single fracture development coefficient is used to quantitatively characterize the fracture development at each depth point of the target layer of the current well;

[0008] The fracture development coefficient of the target layer section of the current well is calculated according to the single fracture development coefficient of the target layer section of the current well and the length of the target layer section, wherein the fracture development coefficient is used to quantitatively characterize the fracture development situation of the target layer section of the current well.

[0009] Preferably, the calculation of the single fracture development coefficient at each depth point of the target layer of the current well based on the well logging parameters and mud logging parameters of the current well further includes:

[0010] The single fracture development coefficient at each depth point in the target layer of the current well is calculated using the following formula:

[0011] FE=(D bit -D well ) / D bit ;

[0012] Among them, FE is the single fracture development coefficient at each depth point of the target layer of the current well, D bit is the drill diameter, D well It is the wellbore parameter for each depth point of the target layer of the current well.

[0013] Preferably, the calculating the fracture development coefficient of the target layer section of the current well according to the single fracture development coefficient of the target layer section of the current well and the length of the target layer section further comprises:

[0014] The fracture development coefficient of the target layer of the current well is calculated using the following formula:

[0015]

[0016] Among them, FE WELL is the fracture development coefficient of the target layer of the current well, FE i is the single fracture development coefficient at each depth point of the target layer of the current well, n is the number of depth points in the target layer of the current well where the single fracture development coefficient is not 0, and L is the layer length of the target layer.

[0017] Preferably, it also includes:

[0018] If the single fracture development coefficient at a certain depth point in the target layer of the current well is 0, then there is no fracture at a certain depth point in the target layer of the current well;

[0019] If the fracture development coefficient of a certain depth point of the target layer section of the current well is greater than 0 and less than 1, then there is a fracture at the certain depth point of the target layer section of the current well, and the fracture development scale is proportional to the fracture development coefficient.

[0020] Preferably, the acquisition of the target layer section in the area where the current well has developed fractures further includes:

[0021] Based on the fracture characteristic database corresponding to the region, a coarse-grained analysis is performed on the expected intervals where fractures are developed in the current well in the region;

[0022] Based on the expected layer intervals and the geological parameters and drilling fluid logging parameters of the current well during the drilling process, a fine-grained analysis is performed to determine the target layer intervals in the region where the current well has developed fractures.

[0023] On the other hand, the present invention further provides an oil and gas exploration method based on quantitative fracture identification, based on any of the above-mentioned quantitative fracture identification methods, comprising:

[0024] According to the fracture development coefficient of at least one target layer section of a certain well in the region, the target layer section in the certain well that meets the first preset condition is selected as the target layer section;

[0025] According to the fracture development coefficients of the wells at different locations in the region corresponding to the selected target layer segment, the wells that meet the first preset condition are selected as the selected wells;

[0026] Oil and gas production in the area is guided based on the selected target layer interval of the selected well.

[0027] Preferably, the first preset condition is the target layer segment with the largest fracture development coefficient in the certain well; the second preset condition is the well with the largest fracture development coefficient in the selected target layer segment in the area.

[0028] In another aspect, the present invention provides a device for quantitatively identifying cracks, comprising:

[0029] The acquisition module is used to obtain the target layer section with fracture development in the current well in the area;

[0030] A first calculation module is used to calculate a single fracture development coefficient at each depth point of the target layer of the current well based on the well logging parameters and mud logging parameters of the current well, wherein the single fracture development coefficient is used to quantitatively characterize the fracture development at each depth point of the target layer of the current well;

[0031] The second calculation module is used to calculate the fracture development coefficient of the target layer section of the current well according to the single fracture development coefficient of the target layer section of the current well and the length of the target layer section, wherein the fracture development coefficient is used to quantitatively characterize the fracture development situation of the target layer section of the current well.

[0032] In another aspect, the present invention further provides an oil and gas exploration device based on quantitative crack identification, based on the above-mentioned quantitative crack identification device, comprising:

[0033] The first selection module is used to determine, based on the fracture development coefficient of at least one target layer section in a certain well in the region, the target layer section with the largest fracture development coefficient in the certain well as the selected target layer section;

[0034] The second selection module is used to determine the well with the largest fracture development coefficient as the selected well based on the fracture development coefficients of the wells at different locations in the region corresponding to the selected target layer segment;

[0035] The production guidance module is used to guide the oil and gas production in the area based on the selected target layer section of the selected well.

[0036] On the other hand, the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory, wherein when the computer program is run by the processor, the computer program executes instructions of any one of the above methods.

[0037] In another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor of a computer device, the computer program executes instructions according to any one of the above methods.

[0038] It can be seen from the technical solution provided by the present invention that, through the method of the present invention, the single fracture development coefficient of each depth point of the target layer section of the current well can be calculated first, and then the fracture development coefficient of the target layer section of the current well can be calculated based on the single fracture development coefficient and the length of the target layer section. According to the fracture development coefficient of the target layer section of the current well, it is compared with the fracture development coefficients of the target layer sections of other wells in the region, so as to realize the comparison of the scale of regional plane fracture development, wherein the well with a larger fracture development coefficient has a larger fracture development scale in the corresponding range, thereby quantitatively characterizing the fracture development situation of the target layer section of the current well and performing rapid and concise quantitative identification of downhole fractures.

[0039] In order to make the above and other purposes, features and advantages of this specification more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 A schematic diagram showing a process flow of a crack quantitative identification method provided by an embodiment of the present invention is shown;

[0042] Figure 2 A schematic diagram of a process for obtaining a target layer section with developed fractures in a current well in a region according to an embodiment of the present invention is shown;

[0043] Figure 3 A comparative schematic diagram for explaining the fracture development of the Yuertusi Formation provided by an embodiment of the present invention is shown;

[0044] Figure 4 A schematic flow chart of an oil and gas exploration method based on quantitative fracture identification provided by an embodiment of the present invention is shown;

[0045] Figure 5 A schematic diagram of the module structure of a crack quantitative identification device provided by an embodiment of the present invention is shown;

[0046] Figure 6 A schematic diagram of the module structure of an oil and gas exploration device based on quantitative fracture identification provided by an embodiment of the present invention is shown;

[0047] Figure 7 A schematic structural diagram of a computer device provided by an embodiment of the present invention is shown.

[0048] Description of the accompanying symbols:

[0049] 100. Get module;

[0050] 200. First calculation module;

[0051] 300. Second calculation module;

[0052] 400. First selected module;

[0053] 500, second selected module;

[0054] 600, mining guidance module;

[0055] 702. Computer equipment;

[0056] 704, processor;

[0057] 706. Memory;

[0058] 708, driving mechanism;

[0059] 710, input / output module;

[0060] 712. Input devices;

[0061] 714. Output device;

[0062] 716. Presentation equipment;

[0063] 718. Graphical User Interface;

[0064] 720, network interface;

[0065] 722, communication link;

[0066] 724. Communication bus. DETAILED DESCRIPTION

[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the embodiments of the present invention.

[0068] With the development of the petroleum industry and technological advancements, the exploration of ultra-deep and unconventional oil and gas reservoirs is becoming increasingly important. The main storage spaces in ultra-deep and tight formations are fractures and their associated dissolution pores. The identification of fractures in downhole reservoirs is accomplished through drilling fluid loss or oil testing, which lacks timeliness. The characterization of the degree of fracture development is mainly based on core descriptions and imaging logging. However, due to the general scarcity of cores, especially in fracture-developed sections, cores are generally not taken to ensure drilling safety. The identification of imaging logging has the problems of high personnel requirements and limited recognition accuracy. The general recognition rate is only 20%. It can be used to detect fractures with a medium degree of development or above, but micro-fractures cannot be identified, making comprehensive identification impossible. Although existing technologies have achieved quantitative identification of fracture sections based on fractals and the differences between fracture development sections and bedrock, they have the problems of relatively complex calculation processes and slow recognition speeds.

[0069] In order to solve the above problems, an embodiment of the present invention provides a method for quantitatively identifying cracks. Figure 1 This is a flowchart of a method for quantitative crack identification provided by an embodiment of the present invention. This specification provides the method steps described in the embodiment or flowchart, but more or fewer steps may be included based on routine or uninventive work. The order of steps listed in the embodiment is only one of many possible execution sequences and does not represent the only execution order. When implemented in a real system or device product, the methods shown in the embodiment or the accompanying drawings may be executed sequentially or in parallel.

[0070] It should be noted that the terms "first", "second", etc. in the description and claims of the embodiments 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 numbers used in this way can be interchanged where appropriate, so that the embodiments of this specification 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, apparatus, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0071] Reference Figure 1, an embodiment of the present invention provides a method for quantitatively identifying cracks, comprising:

[0072] S101: Obtain the target layer segment with fracture development in the current well in the area;

[0073] S102: Calculating a single fracture development coefficient at each depth point of the target layer of the current well based on well logging parameters and mud logging parameters of the current well, wherein the single fracture development coefficient is used to quantitatively characterize the fracture development at each depth point of the target layer of the current well;

[0074] S103: Calculating a fracture development coefficient of the target layer section of the current well according to a single fracture development coefficient of the target layer section of the current well and the length of the target layer section, wherein the fracture development coefficient is used to quantitatively characterize the fracture development of the target layer section of the current well.

[0075] The current well is a well being drilled, and the current well in the region can be any well in the region. For the current well, any layer section with developed fractures, regardless of the fracture development status and whether the fractures are numerous or few, can be used as the target layer section. In order to achieve quantitative identification of fractures, the fracture development status, i.e., the number of fractures developed, needs to be further determined based on the target layer section known to have fractures developed. The fracture development status of the target layer section needs to be determined using the method of the embodiment of the present invention.

[0076] For ultra-deep wells, tight formation fractures, and microfractures, existing fracture characteristic formulas are complex. The selection of formation fluid parameters during specific applications is subject to significant human influence, resulting in limited identification accuracy. These methods are generally used in maturely explored areas. Furthermore, existing techniques require verification of formation lithology using rock cuttings, which is only applicable to metamorphic formations. Rock cuttings from ultra-deep wells and complex wells are difficult to identify. Furthermore, with advances in oil and gas exploration technology, certain indices relied upon by existing techniques are no longer sensitive to formation responses. These factors have rendered existing techniques unreliable. Furthermore, existing techniques are unable to compare the scale of regional planar fracture development.

[0077] By using the method in the embodiment of the present invention, the single fracture development coefficient at each depth point of the target layer section of the current well can be calculated first, and then the fracture development coefficient of the target layer section of the current well can be calculated based on the single fracture development coefficient and the length of the target layer section. According to the fracture development coefficient of the target layer section of the current well, it is compared with the fracture development coefficients of the target layer sections of other wells in the region, so as to realize the comparison of the scale of regional plane fracture development. The well with a larger fracture development coefficient has a larger fracture development scale in the corresponding range. In this way, the fracture development situation of the target layer section of the current well is quantitatively characterized, and downhole fractures can be quantitatively identified quickly and concisely.

[0078] The step of calculating the single fracture development coefficient at each depth point of the target layer of the current well according to the well logging parameters and mud logging parameters of the current well further includes:

[0079] The single fracture development coefficient at each depth point in the target layer of the current well is calculated using the following formula:

[0080] FE=(D bit -D well ) / D bit ;

[0081] Among them, FE is the single fracture development coefficient at each depth point of the target layer of the current well, D bit is the drill diameter, D well It is the wellbore parameter for each depth point of the target layer of the current well.

[0082] Since the target interval is a layer interval where fractures are developed, there may be more than one target interval in the current well. The above formula can be used to calculate any target interval in the current well. For the target interval in the current well, the target interval includes several depth points along the depth direction, and each depth point corresponds to a unique single fracture development coefficient. For the target interval in the current well, the caliper parameter in the current well logging parameters varies according to the depth of the target interval, and each depth point corresponds to a unique caliper parameter. Generally speaking, the drill bit diameter in the current well logging parameters can be obtained in advance. The caliper parameter and the drill bit diameter are used to calculate the single fracture development coefficient at each depth point in the current well target interval.

[0083] For the single fracture development coefficient, if the single fracture development coefficient at a certain depth point in the target layer section of the current well is 0, then there is no fracture at that depth point in the target layer section of the current well; if the fracture development coefficient at a certain depth point in the target layer section of the current well is greater than 0 and less than 1, then there is a fracture at that depth point in the target layer section of the current well. The fracture development scale is proportional to the fracture development coefficient. The closer the fracture development coefficient at a certain depth point is to 1, the larger the corresponding fracture development scale. The specific manifestations of a larger fracture development scale may include a greater number of fractures, denser fractures, and a larger single fracture width.

[0084] The step of calculating the fracture development coefficient of the target layer section of the current well according to the single fracture development coefficient of the target layer section of the current well and the length of the target layer section further comprises:

[0085] The fracture development coefficient of the target layer of the current well is calculated using the following formula:

[0086]

[0087] Among them, FE WELL is the fracture development coefficient of the target layer of the current well, FEi is the single fracture development coefficient at each depth point of the target layer of the current well, n is the number of depth points in the target layer of the current well where the single fracture development coefficient is not 0, and L is the layer length of the target layer.

[0088] The sum of the single fracture development coefficients at all depth points in the target layer is used to define FE i It can be the single fracture development coefficient of each depth point in the target layer of the current well. Another definition of FE i It can also be the fracture development coefficient of each depth point in the target layer section of the current well where the single fracture development coefficient is not 0. Since a single fracture development coefficient of 0 will not affect the sum of the single fracture development coefficients of all depth points in the target layer section, both of the above definitions are acceptable. The fracture development coefficient of the target layer section of the current well can be obtained by the above formula.

[0089] For the fracture development coefficient, a value of 0 indicates that there are no fractures in the corresponding target layer; a value greater than 0 and less than 1 indicates that there are fractures in the corresponding target layer; a larger value indicates a larger scale of fracture development in the corresponding target layer. Generally speaking, a larger scale of fracture development may be manifested in the following ways: more fractures, denser fractures, and larger widths of individual fractures.

[0090] In the embodiment of the present invention, referring to Figure 2 The acquisition of the target layer segment with fracture development in the current well in the region further includes:

[0091] S201: Based on the fracture characteristic database corresponding to the region, a coarse-grained analysis is performed on the expected layer segments where fractures are developed in the current well in the region;

[0092] S202: Based on the expected layer section and the geological parameters and drilling fluid logging parameters of the current well during the drilling process, a fine-grained analysis is performed on the target layer section in the region where the current well has developed fractures.

[0093] During the coarse-grained analysis process, a pre-established database of fracture characteristics corresponding to the region is used. This database includes drilling parameters, including well location coordinates, well type, lithology, drilling fluid type, and drill bit diameter, as well as logging and well-logging parameters for existing wells in the region. It also includes parameters such as the outcrop profile of the current well in the region. If other wells are already drilled in the region, the drilling, logging, and well-logging parameters of these wells can be used to preliminarily predict the expected intervals where fractures may develop in the current well. If no other wells are already drilled in the region, the outcrop profile of the current well can be used to analyze the expected intervals where fractures may develop in the current well. Coarse-grained analysis can provide directional information.

[0094] During the fine-grained analysis process, if there are other drilled wells in the area, the target layer section where fractures are developed in the current well can be qualitatively analyzed based on the expected layer section and combined with the geological parameters and the drilling fluid density change parameters in the drilling fluid logging parameters. If there are no other drilled wells in the area, the target layer section where fractures are developed in the current well can be qualitatively analyzed based on the expected layer section and combined with the geological parameters and the drilling fluid loss parameters in the drilling fluid logging parameters.

[0095] The drilling parameters, mud logging parameters, and well logging parameters of the current well obtained in the embodiment of the present invention can be saved in the fracture database to enrich the database and provide a basis for subsequent quantitative identification of fractures in other wells.

[0096] When analyzing the Yuertusi group, combined with Figure 3 As shown in Table 1, the fracture development information obtained by the caliper method in the embodiment of the present invention is more accurate than that obtained by the conventional logging interpretation method and fractal method in the prior art, is less affected by the environment and human factors, and can quantitatively analyze the fracture development information.

[0097] Table 1

[0098]

[0099] Based on the crack quantitative identification method described in the embodiment of the present invention, refer to Figure 4 This specification also provides an oil and gas exploration method based on quantitative fracture identification, including:

[0100] S301: Based on the fracture development coefficient of at least one target layer segment in a certain well in the region, a target layer segment in the certain well that meets a first preset condition is selected as a target layer segment;

[0101] S302: Based on the fracture development coefficients of the wells at different locations in the region corresponding to the selected target layer segment, the wells that meet the second preset condition are selected as the selected wells;

[0102] S303: Guiding oil and gas production in the area based on the selected target layer of the selected well.

[0103] Specifically, the first preset condition is the target layer segment with the largest fracture development coefficient in the well; the second preset condition is the well with the largest fracture development coefficient in the selected target layer segment in the region. A well in the region can be any well, which may have multiple target layers. The target layer segment with the largest fracture development coefficient has the largest number of fractures among all layers and is accordingly more amenable to oil and gas production, and can be selected as the target layer segment. It is further necessary to determine the fracture development coefficients of wells at different locations in the region corresponding to the selected target layer segment. For the selected target layer segment, the well with the largest fracture development coefficient has the largest number of fractures among all wells and is accordingly more amenable to oil and gas production, and can be selected as the selected well.

[0104] The selected target layer section of the selected well guides the area for oil and gas production. Wells can be arranged within the range where the selected wells are located. After the wells are arranged, oil and gas production is carried out in the selected target layer section. This will increase the production efficiency and the production volume.

[0105] This application provides users with corresponding big data analysis (such as personal biometrics, identity data, consumption data, asset data, electronic terminal operation data, etc.) operation entrances for users to choose to agree or reject automated decision-making results; if the user chooses to reject, the expert decision-making process will be entered.

[0106] Based on the above-mentioned method for quantitative identification of cracks, an embodiment of the present invention also provides a corresponding device for quantitative identification of cracks. The device may include a system (including a distributed system), software (application), module, component, server, client, etc. that uses the method described in the embodiment of the present invention and is combined with the necessary implementation hardware. Based on the same innovative concept, the device in one or more embodiments provided by the embodiment of the present invention is as described in the following embodiments. Since the implementation scheme of the device to solve the problem is similar to the method, the implementation of the specific device of the embodiment of the present invention can refer to the implementation of the aforementioned method, and the repeated parts will not be repeated. As used below, the term "unit" or "module" can be a combination of software and / or hardware that implements the predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0107] Specifically, Figure 5 This is a schematic diagram of the module structure of an embodiment of a crack quantitative identification device provided by an embodiment of the present invention, referring to Figure 5 As shown, a crack quantitative identification device provided by an embodiment of the present invention includes: an acquisition module 100 , a first calculation module 200 , and a second calculation module 300 .

[0108] An acquisition module 100 is used to acquire a target layer segment with fracture development in the current well in the region;

[0109] A first calculation module 200 is configured to calculate a single fracture development coefficient at each depth point of a target layer of the current well based on well logging parameters and mud logging parameters of the current well, wherein the single fracture development coefficient is used to quantitatively characterize the fracture development at each depth point of the target layer of the current well;

[0110] The second calculation module 300 is used to calculate the fracture development coefficient of the target layer section of the current well based on the single fracture development coefficient of the target layer section of the current well and the length of the target layer section, wherein the fracture development coefficient is used to quantitatively characterize the fracture development status of the target layer section of the current well.

[0111] Based on the above-mentioned crack quantitative identification device, refer to Figure 6 The embodiment of the present invention further discloses an oil and gas exploration device based on quantitative fracture identification, including: a first selection module 400, a second selection module 500, and a production guidance module 600.

[0112] The first selection module 400 is configured to determine, based on the fracture development coefficient of at least one target layer segment in a certain well in the region, the target layer segment with the largest fracture development coefficient in the certain well as the selected target layer segment;

[0113] The second selection module 500 is used to determine the well with the largest fracture development coefficient as the selected well based on the fracture development coefficients of the wells at different locations in the region corresponding to the selected target layer segment;

[0114] The production guidance module 600 is used to guide oil and gas production in the area based on the selected target layer of the selected well.

[0115] Reference Figure 7As shown, based on the aforementioned method for quantitative fracture identification or a method for oil and gas exploration based on quantitative fracture identification, one embodiment of this specification further provides a computer device 702, wherein the aforementioned method is executed on the computer device 702. The computer device 702 may include one or more processors 704, such as one or more central processing units (CPUs) or graphics processing units (GPUs), each of which may implement one or more hardware threads. The computer device 702 may also include any memory 706 for storing any type of information, such as code, settings, data, etc. In one specific embodiment, the memory 706 may contain a computer program executable on the processor 704. When executed by the processor 704, the computer program may execute instructions according to the aforementioned method. For example, without limitation, the memory 706 may include any one or more combinations of the following: any type of RAM, any type of ROM, a flash memory device, a hard disk, an optical disk, etc. More generally, any memory may use any technology to store information. Furthermore, any memory may provide volatile or non-volatile retention of information. Furthermore, any memory may represent a fixed or removable component of the computer device 702. In one embodiment, when the processor 704 executes the associated instructions stored in any memory or combination of memories, the computer device 702 can perform any operation of the associated instructions. The computer device 702 also includes one or more drive mechanisms 708 for interacting with any memory, such as a hard disk drive mechanism, an optical disk drive mechanism, etc.

[0116] The computer device 702 may also include an input / output module 710 (I / O) for receiving various inputs (via input devices 712) and for providing various outputs (via output devices 714). A specific output mechanism may include a presentation device 716 and an associated graphical user interface 718 (GUI). In other embodiments, the input / output module 710 (I / O), input devices 712, and output devices 714 may not be included, and the computer device 702 may simply function as a computer device in a network. The computer device 702 may also include one or more network interfaces 720 for exchanging data with other devices via one or more communication links 722. One or more communication buses 724 couple the components described above together.

[0117] The communication link 722 may be implemented in any manner, for example, via a local area network, a wide area network (e.g., the Internet), a point-to-point connection, etc., or any combination thereof. The communication link 722 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc., governed by any protocol or combination of protocols.

[0118] Corresponding to Figure 1 、 Figure 2and Figure 4 The method in the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are executed.

[0119] The embodiment of the present invention further provides a computer-readable instruction, wherein when a processor executes the instruction, the program therein causes the processor to execute the following Figure 1 、 Figure 2 and Figure 4 The method shown.

[0120] The embodiment of the present invention further provides a computer program product, which is executed by a processor of a computer device. Figure 1 、 Figure 2 and Figure 4 The method shown.

[0121] The computer program product described in this specification is a software product that mainly implements the method described in this specification through a computer program.

[0122] It should be understood that in the various embodiments of this specification, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0123] It should also be understood that in the embodiments of the present invention, the term "and / or" merely describes the relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent three possible situations: A exists alone, A and B exists simultaneously, or B exists alone. Furthermore, in the embodiments of the present invention, the character " / " generally indicates that the associated objects are in an "or" relationship.

[0124] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the embodiments of the present invention can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiments of the present invention.

[0125] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0126] In the several embodiments provided in this specification, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be an electrical, mechanical or other form of connection.

[0127] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0128] In addition, the functional units in the various embodiments of this specification may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0129] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of this specification. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0130] Specific embodiments are used in this specification to illustrate the principles and implementation methods of the embodiments of the present invention. The description of the above embodiments is only used to help understand the methods and core ideas of the embodiments of the present invention. At the same time, for those skilled in the art, based on the ideas of the embodiments of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the embodiments of the present invention.

Claims

1. A method for quantitative crack identification, characterized in that: include: Obtain the target layer with developed fractures in the current well in the area; Calculating the single fracture development coefficient at each depth point of the target layer of the current well based on the well logging parameters and mud logging parameters of the current well, wherein the single fracture development coefficient is used to quantitatively characterize the fracture development at each depth point of the target layer of the current well; The fracture development coefficient of the target layer section of the current well is calculated according to the single fracture development coefficient of the target layer section of the current well and the length of the target layer section, wherein the fracture development coefficient is used to quantitatively characterize the fracture development situation of the target layer section of the current well.

2. The method according to claim 1, characterized in that Calculating the single fracture development coefficient at each depth point of the target layer of the current well based on the well logging parameters and mud logging parameters of the current well further includes: The single fracture development coefficient at each depth point in the target layer of the current well is calculated using the following formula: FE=(D bit -D well ) / D bit ; Among them, FE is the single fracture development coefficient at each depth point of the target layer of the current well, D bit is the drill diameter, D well It is the wellbore parameter for each depth point of the target layer of the current well.

3. The method according to claim 1, characterized in that Calculating the fracture development coefficient of the target layer section of the current well according to the single fracture development coefficient of the target layer section of the current well and the length of the target layer section further includes: The fracture development coefficient of the target layer of the current well is calculated by the following formula: Among them, FE WELL is the fracture development coefficient of the target layer of the current well, FE i is the single fracture development coefficient at each depth point of the target layer of the current well, n is the number of depth points in the target layer of the current well where the single fracture development coefficient is not 0, and L is the layer length of the target layer.

4. The method according to claim 1, wherein Also includes: If the single fracture development coefficient at a certain depth point in the target layer of the current well is 0, then there is no fracture at a certain depth point in the target layer of the current well; If the fracture development coefficient of a certain depth point of the target layer section of the current well is greater than 0 and less than 1, then there is a fracture at the certain depth point of the target layer section of the current well, and the fracture development scale is proportional to the fracture development coefficient.

5. The method according to claim 1, wherein The acquisition of the target layer interval in the current well where fractures are developed in the region further includes: Based on the fracture characteristic database corresponding to the region, a coarse-grained analysis is performed on the expected intervals where fractures are developed in the current well in the region; Based on the expected layer intervals and the geological parameters and drilling fluid logging parameters of the current well during the drilling process, a fine-grained analysis is performed to determine the target layer intervals in the region where the current well has developed fractures.

6. A method for oil and gas exploration based on quantitative identification of fractures, characterized in that: The method for quantitatively identifying cracks according to any one of claims 1 to 5 comprises: According to the fracture development coefficient of at least one target layer section of a certain well in the region, the target layer section in the certain well that meets the first preset condition is selected as the target layer section; According to the fracture development coefficients of the wells at different locations in the region corresponding to the selected target layer segment, the wells that meet the second preset condition are selected as the selected wells; Oil and gas production in the area is guided based on the selected target layer interval of the selected well.

7. The method according to claim 6, characterized in that The first preset condition is the target layer segment with the largest fracture development coefficient in the certain well; the second preset condition is the well with the largest fracture development coefficient in the selected target layer segment in the area.

8. A crack quantitative identification device, characterized in that: include: The acquisition module is used to obtain the target layer section with fracture development in the current well in the area; A first calculation module is used to calculate a single fracture development coefficient at each depth point of the target layer of the current well based on the well logging parameters and mud logging parameters of the current well, wherein the single fracture development coefficient is used to quantitatively characterize the fracture development at each depth point of the target layer of the current well; The second calculation module is used to calculate the fracture development coefficient of the target layer section of the current well according to the single fracture development coefficient of the target layer section of the current well and the length of the target layer section, wherein the fracture development coefficient is used to quantitatively characterize the fracture development situation of the target layer section of the current well.

9. An oil and gas exploration device based on quantitative identification of fractures, characterized in that: The crack quantitative identification device according to claim 8 comprises: The first selection module is used to determine, based on the fracture development coefficient of at least one target layer section in a certain well in the region, the target layer section with the largest fracture development coefficient in the certain well as the selected target layer section; The second selection module is used to determine the well with the largest fracture development coefficient as the selected well based on the fracture development coefficients of the wells at different locations in the region corresponding to the selected target layer segment; The production guidance module is used to guide the oil and gas production in the area based on the selected target layer section of the selected well.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory, characterized in that: When the computer program is executed by the processor, the computer program executes the instructions of the method according to any one of claims 1 to 7.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor of a computer device, the computer program executes the instructions of the method according to any one of claims 1 to 7.

12. A computer program product, characterized in that When the computer program product is executed by a processor of a computer device, the computer program product executes the instructions of the method according to any one of claims 1 to 7.

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