Method and device for identifying high-energy facies belt of carbonate rock

Abstract

This application provides a method and apparatus for identifying high-energy facies zones in carbonate rocks. The method includes: an electronic device acquiring the geological background of a target area; the electronic device comprehensively utilizing the geological background of the target area to establish a sedimentary facies model of the target area; the electronic device using a certain range above the top surface of the target layer as the extraction range for attribute features, and extracting attribute features; the electronic device determining an interpretation template for high-energy facies zones in carbonate rocks in the target area based on the attribute features of the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata; and the electronic device determining the distribution of high-energy facies zones in carbonate rocks based on the interpretation template. The method of this application increases the accuracy and precision of identifying high-energy facies zones in carbonate rocks.

Description

Technical Field

[0001] This application relates to the field of oil and gas exploration technology, and in particular to a method and apparatus for identifying high-energy facies zones in carbonate rocks. Background Technology

[0002] Currently, through exploration and development of carbonate rocks in the Tarim Basin platform area, researchers have discovered that high-energy facies zones in carbonate rocks are the material basis for reservoir development. These high-energy facies zones play a decisive role in the development of reservoir matrix porosity. Therefore, accurately identifying high-energy facies zones in carbonate rocks can help improve the efficiency of oilfield exploration and development.

[0003] Currently, the identification of high-energy facies zones in carbonate rocks is mainly achieved by establishing geological models of the target layer. Researchers can then predict the high-energy facies zones in the carbonate rocks of that target layer by extracting and inverting the attributes of the geological model.

[0004] However, when the target layer includes both high-energy carbonate facies zones and low-energy carbonate facies zones, the properties of the high-energy carbonate facies zones and low-energy carbonate facies zones are usually quite similar, resulting in difficulties in identifying the high-energy carbonate facies zones and low identification accuracy. Summary of the Invention

[0005] This application provides a method and apparatus for identifying high-energy facies zones in carbonate rocks, in order to solve the problems of high difficulty and low accuracy in identifying high-energy facies zones in carbonate rocks in the prior art.

[0006] In a first aspect, this application provides a method for identifying high-energy facies zones in carbonate rocks, including:

[0007] Based on the geological background of the target area, a sedimentary facies model is established, which includes the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata.

[0008] Based on the attribute characteristics of the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata, an interpretation template for the high-energy carbonate facies zone in the target area is determined.

[0009] Based on the interpretation template of the high-energy facies zone of the carbonate rock, the planar distribution map of the high-energy facies zone of the carbonate rock is determined.

[0010] Optionally, determining the interpretation template for the high-energy carbonate facies zone of the target area based on the attribute characteristics of the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata includes:

[0011] Based on the property characteristics of the sedimentary facies mode of the target layer, a calibration value is determined, which is used to distinguish between high-energy facies zones and low-energy facies zones of carbonate rocks.

[0012] Based on the calibration values ​​and the attribute characteristics of the sedimentary facies model in the target area, the high-energy carbonate facies zone in the target area is determined;

[0013] Based on the high-energy facies zone of the carbonate rocks in the target area, an interpretation template for the high-energy facies zone of the carbonate rocks is determined.

[0014] Optionally, determining the planar distribution map of the high-energy facies zone of the carbonate rock based on the interpretation template of the high-energy facies zone includes:

[0015] The interpretation template for the high-energy facies zone of the carbonate rock is calibrated based on the production dynamic data of the target area;

[0016] Based on the calibrated interpretation template of the high-energy facies zone of the carbonate rock, a planar distribution map of the high-energy facies zone of the carbonate rock is generated.

[0017] Optionally, the overlying strata include at least one stratum that has a inherited developmental relationship with the sedimentation of the target layer.

[0018] Optionally, the attribute features include at least one of amplitude attribute, root mean square attribute, highlight volume attribute, and frequency attribute.

[0019] Secondly, this application provides a device for identifying high-energy facies zones in carbonate rocks, comprising:

[0020] The model building module is used to build a sedimentary facies model based on the geological background of the target area. The sedimentary facies model includes the target layer sedimentary facies model and the overlying strata sedimentary facies model.

[0021] The first determining module is used to determine the interpretation template of the high-energy carbonate facies zone in the target area based on the attribute characteristics of the sedimentary facies mode of the target layer and the attribute characteristics of the sedimentary facies mode of the overlying strata.

[0022] The second determining module is used to determine the planar distribution map of the high-energy facies zone of the carbonate rock based on the interpretation template of the high-energy facies zone of the carbonate rock.

[0023] Optionally, the first determining module includes:

[0024] The first determining submodule is used to determine a calibration value based on the property characteristics of the sedimentary facies mode of the target layer. The calibration value is used to distinguish between the high-energy facies zone and the low-energy facies zone of carbonate rocks.

[0025] The second determining submodule is used to determine the high-energy carbonate facies zone in the target area based on the calibration value and the attribute characteristics of the sedimentary facies mode in the target area;

[0026] The third determining submodule is used to determine the interpretation template of the high-energy facies zone of the carbonate rock based on the high-energy facies zone of the carbonate rock in the target area.

[0027] Optionally, the second determining module includes:

[0028] The calibration submodule is used to calibrate the interpretation template of the high-energy facies zone of the carbonate rock based on the production dynamic data of the target area;

[0029] The generation submodule is used to generate a planar distribution map of the high-energy facies zone of the carbonate rock based on the interpretation template of the calibrated high-energy facies zone of the carbonate rock.

[0030] Optionally, the overlying strata include at least one stratum that has a inherited developmental relationship with the sedimentation of the target layer.

[0031] Optionally, the attribute features include at least one of amplitude attribute, root mean square attribute, highlight volume attribute, and frequency attribute.

[0032] Thirdly, this application provides an electronic device, including: a memory and a processor;

[0033] Memory is used to store programs;

[0034] The processor is used to call a program in memory to execute the carbonate rock high-energy facies band identification method in the first aspect and any possible design of the first aspect.

[0035] Fourthly, this application provides a readable storage medium storing a computer program, which, when executed by at least one processor of an electronic device, enables the electronic device to perform the carbonate rock high-energy facies band identification method in the first aspect and any possible design of the first aspect.

[0036] Fifthly, this application provides a computer program product comprising a computer program that, when executed by at least one processor of an electronic device, enables the electronic device to perform the carbonate rock high-energy facies band identification method in the first aspect and any possible design of the first aspect.

[0037] The carbonate rock high-energy facies zone identification and apparatus provided in this application obtains the geological background of the target area; it can establish a sedimentary facies model of the target area by comprehensively utilizing the above information, guided by the Wilson sedimentary facies model; the sedimentary facies model of the target area includes the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata; it can extract attribute features by using a certain range above the top surface of the target layer as the extraction range; based on the attribute features of the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata, it determines the interpretation template of the carbonate rock high-energy facies zone in the target area; and based on the interpretation template of the carbonate rock high-energy facies zone, it determines the distribution of the carbonate rock high-energy facies zone, thereby achieving accurate identification of carbonate rock high-energy facies zones and improving the identification accuracy of carbonate high-energy facies zones. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 A flowchart illustrating a method for identifying high-energy facies bands in carbonate rocks, provided as an embodiment of this application;

[0040] Figure 2 A sedimentary facies model diagram of the Upper Ordovician Lianglitag Formation-Sangtamu Formation provided in an embodiment of this application;

[0041] Figure 3 A seismic profile of interconnected wells provided in one embodiment of this application;

[0042] Figure 4 A root mean square amplitude property distribution map provided in one embodiment of this application;

[0043] Figure 5 A phase band distribution map of a target region provided in one embodiment of this application;

[0044] Figure 6 This is a schematic diagram of the structure of a carbonate rock high-energy facies zone identification device provided in an embodiment of this application;

[0045] Figure 7 This is a schematic diagram of the structure of another carbonate rock high-energy facies zone identification device provided in an embodiment of this application;

[0046] Figure 8 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] Currently, through exploration and development of carbonate rocks in the Tarim Basin platform area, researchers have discovered that high-energy facies zones in carbonate rocks are the material basis for reservoir development. These high-energy facies zones play a decisive role in the development of reservoir matrix porosity. Therefore, accurately identifying high-energy facies zones in carbonate rocks helps improve the efficiency of oilfield exploration and development. Currently, the identification of high-energy facies zones in carbonate rocks is mainly achieved by establishing geological models of the target layer. Researchers can predict the high-energy facies zones in carbonate rocks within the target layer by extracting and inverting the attributes of the geological model.

[0049] The formation of standard carbonate facies zones typically involves marine carbonate deposition. Irwin and Shaw, through their research on the dynamic capacity of seawater and sediment distribution characteristics at the land surface, established an ideal model that divides carbonate sedimentary facies into three zones, named X, Y, and Z. Zone Y, the high-energy zone, lies above the wave base to the low tide line. This region experiences highly active tides and waves, abundant sunlight, and ample oxygen, resulting in a large abundance of benthic organisms, reef-building organisms, and algae. This abundant biological development leads to high biogenic carbonate productivity. Simultaneously, the impact of waves and currents effectively filters the carbonate particles deposited in this region. Fine-grained material is washed into Zones Z or X. Larger grained limestone is deposited in Zone Y, ultimately forming the high-energy carbonate facies zone. In the Tarim Basin platform area, due to long-term land-building activities, the distribution of high-energy carbonate facies zones is more complex. In the Tarim Basin platform area, the high-energy carbonate facies zone mainly consists of grained limestone and biogenic skeletal rocks. High-energy carbonate facies zones are distributed in open platforms and platform margins. Furthermore, these zones can be found in subfacies such as platform margin hills, inner platform skirt shoals, and inner platform point shoals. Therefore, accurately locating these high-energy carbonate facies zones and improving their identification accuracy are urgent problems to be solved.

[0050] To address the aforementioned problems, this application proposes a method for identifying high-energy facies zones in carbonate rocks. This application fully utilizes the characteristics of carbonate strata and their sedimentary inheritance development, and based on existing drilling, coring, and production dynamics data, uses 3D seismic data to establish sedimentary facies models of the target layer and its overlying strata. This application obtains the attribute characteristics of the sedimentary facies models of the target layer and the overlying strata, and predicts high-energy facies zones in carbonate rocks based on these attribute characteristics. Through this method, this application provides a reliable basis for identifying high-energy facies zones in complex fractured-vuggy carbonate rocks, improving the accuracy of carbonate high-energy facies zone identification.

[0051] The technical solutions of this application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0052] In this application, an electronic device is used as the execution subject to perform the carbonate rock high-energy facies band identification method according to the following embodiments. Specifically, the execution subject can be a hardware device of the electronic device, a software application implementing the following embodiments in the electronic device, or a computer-readable storage medium installed with the software application implementing the following embodiments.

[0053] Figure 1 A flowchart of a method for identifying high-energy facies bands in carbonate rocks according to an embodiment of this application is shown, as follows: Figure 1 As shown, with an electronic device as the execution subject, the method in this embodiment may include the following steps:

[0054] S101. Based on the geological background of the target area, establish a sedimentary facies model, which includes the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata.

[0055] In this embodiment, the electronic device acquires the geological background of the target area. This geological background may include stratigraphic division, sedimentary environment, paleogeographic evolution, etc. In addition, it can also acquire seismic data, well logging information, core information, and well logging data of the target area. Guided by the Wilson sedimentary facies model, the electronic device can comprehensively utilize the above information to establish a sedimentary facies model for the target area. This sedimentary facies model includes a target layer sedimentary facies model and an overlying strata sedimentary facies model. The target layer is the stratum requiring identification of high-energy carbonate facies zones. The overlying strata are the strata above the target layer.

[0056] In one example, the overlying strata include at least one stratum that has a inherited developmental relationship with the target layer. That is, the overlying strata include at least one stratum. The deposition of the overlying strata is a continuation of the developmental pattern of the target layer, and the deposition of the overlying strata influences the developmental pattern of the target layer.

[0057] For example, such as Figure 2 The diagram shows a sedimentary facies model of the Upper Ordovician Lianglitag Formation-Sangtam Formation. According to the Wilson sedimentary facies model, the illustrated section can include two zones: an open platform and a platform margin. The open platform can further include subfacies such as lagoons, intraplatform shoals, and intraplatform point shoals. The platform margin includes the platform margin hill-shoal subfacies.

[0058] As shown in the figure, this sedimentary facies model is a cross-section of the Tarim Basin platform area, including the Santamu Formation, Lianglitag Formation, and Yingshan Formation. Among the three strata shown, the Lianglitag Formation is the target stratum. Since the Yingshan Formation lies below the target stratum, this application does not analyze the Yingshan Formation. The Santamu Formation lies above the Lianglitag Formation and is an overlying stratum. The Lianglitag Formation can be further divided into two strata: Liangyi-1 to Lianger-2 and Liangsan-3. The strata of Liangyi-1 to Lianger-2 are mainly composed of argillaceous limestone. The strata of Liangsan-3 are mainly composed of marlstone. The Santamu Formation mainly consists of crystalline marlstone.

[0059] It is evident that in this sedimentary facies model, the Lianglitag Formation is mainly composed of platform-facies carbonate rocks, while the Santamu Formation is mainly composed of basin-facies mudstone deposits, with local paleogeographic high areas consisting of marl deposits.

[0060] S102. Based on the attribute characteristics of the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata, determine the interpretation template for the high-energy facies zone of the basin facies carbonate rocks in the target area.

[0061] In this embodiment, the electronic device can also determine a seismic profile of the target area based on the sedimentary facies pattern of the target area determined in the above steps. For example, as... Figure 3 The image shown is a seismic profile of the target area, showing interconnected wells. The strings CZ162, CZ26, etc., represent well numbers. Figure 3 The bottom right corner shows the distribution of the eight wells on the plane, as illustrated in the figure. The pentagrams indicate the locations of the wells, and the connecting lines indicate the locations of the cross-sections.

[0062] Based on the seismic profile of the connected wells, the electronic equipment can use a certain range above the top of the target layer as the extraction range for attribute features, and then extract the attribute features. When determining this extraction range, the electronic equipment typically needs to iterate to find the optimal range within the target region.

[0063] For example, the initial range for the electronic device to extract attribute features can be 0-50 milliseconds. Here, 50 milliseconds represents the distance the seismic wave travels upwards from the top of the target layer over 50 milliseconds. The electronic device then collects parameters within this 50-millisecond upward range and calculates the attribute features based on these parameters. The electronic device then determines the validity of these attribute features based on preset indicators. If a large amount of invalid data exists in the attribute features, the electronic device adjusts the extraction range. Otherwise, the electronic device determines this extraction range as the optimal range. For example, after adjustment, the attribute feature extraction range of the electronic device can be 40 milliseconds.

[0064] For example, in Figure 2 and Figure 3 Taking the target area shown as an example, its attribute feature extraction range is 20 milliseconds above the top surface of the Lianglitag group.

[0065] In one example, the attribute features include at least one of the following features: amplitude attribute, root mean square attribute, highlight volume attribute, and frequency attribute.

[0066] Electronic devices can identify paleogeographic features of overlying strata based on this characteristic attribute. For example, when the characteristic attribute is the root-mean-square amplitude attribute, the distribution map of the root-mean-square amplitude attribute of the Santamu Formation within a 15-millisecond range from bottom to top in the target area can be obtained as follows: Figure 4 As shown in the figure, the darker the color, the larger the root mean square amplitude attribute value. Conversely, the lighter the color, the smaller the root mean square amplitude attribute value. Based on this root mean square amplitude attribute distribution, the electronic device can generate a high-energy facies band interpretation template for the target area carbonate rocks through the following steps. Specific steps may include:

[0067] Step 1: Determine the calibration value based on the property characteristics of the sedimentary facies model of the target layer. The calibration value is used to distinguish between the high-energy facies zone and the low-energy facies zone of carbonate rocks.

[0068] In this step, the calibration value is an empirical value, which the administrator can determine based on practical experience. This calibration value can be used to distinguish between high-energy and low-energy carbonate facies zones. For example, the calibration value can be 50. When the attribute value is greater than 50, the area is a high-energy carbonate facies zone. When the attribute value is less than 50, the area can be a low-energy carbonate facies zone. Alternatively, the calibration value can include multiple numerical ranges. For example, the calibration value can include: when the attribute value is 50-70, the area can represent an intraplatform shoal; when the attribute value is 70-100, the area can represent a platform margin hilly shoal; when the attribute value is less than 50, the area can represent an intershoal sea.

[0069] Step 2: Based on the calibration values ​​and the attribute characteristics of the sedimentary facies model in the target area, determine the high-energy facies zone of carbonate rocks in the target area.

[0070] In this step, the electronic device can, according to, as follows: Figure 4 The characteristic attribute distribution map and calibration values ​​shown indicate the distribution of each phase band in the target area. Electronic devices can determine the boundaries of each phase band based on the characteristic attribute values ​​and calibration values, thereby distinguishing between the different phase bands.

[0071] Step 3: Determine the interpretation template for the high-energy facies zone of carbonate rocks based on the high-energy facies zone of carbonate rocks in the target area.

[0072] In this step, after determining the boundaries of each phase band, the electronic device can divide each phase band using these boundaries. For example, as... Figure 5 The image shows the phase band distribution of the target area. Electronic devices in... Figure 4 Based on the characteristic attribute distribution map shown, the boundaries of each phase band are determined according to the numerical values ​​and calibration values ​​of the characteristic attributes. The electronic device divides each phase band according to these boundaries. The display method of this phase band can be as follows: Figure 5 As shown, blocks at different depths represent different facies zones. These can include intraplatform shoal zones, intraplatform shoals, low-energy shoal zones along the platform margin, high-energy shoal zones along the platform margin, and intershoal seas. Among these, the high-energy shoal zone along the platform margin is the high-energy carbonate facies zone to be determined in this step.

[0073] S103. Based on the interpretation template of the high-energy facies zone of carbonate rocks, determine the distribution of the high-energy facies zone of carbonate rocks.

[0074] In this embodiment, the electronic device, such as Figure 5 Based on the phase band distribution map of the target area shown, the electronic equipment calibrates each phase band according to the production dynamic data of the target area. Specific steps may include:

[0075] Step 1: Calibrate the interpretation template of the high-energy facies zone of carbonate rocks based on the production dynamic data of the target area.

[0076] In this step, the electronic device acquires production dynamic data for the target area. This production dynamic data can include data obtained during drilling and logging processes. This production dynamic data is based on actual measurements during production and is more accurate than theoretical data. Therefore, using the production dynamic data to calibrate the interpretation template obtained in the previous steps can further improve the accuracy of the interpretation template.

[0077] Step 2: Generate a planar distribution map of the high-energy facies zone of carbonate rocks based on the interpretation template of the calibrated carbonate rock high-energy facies zone.

[0078] In this step, after calibrating the interpretation template, the electronic device determines the carbonate high-energy phase bands within it based on the template. For example, as... Figure 5 As shown, the high-energy carbonate facies zone is located in the platform margin region. Furthermore, the electronic device generates a final planar distribution map of the high-energy carbonate facies zone based on this interpretation template.

[0079] Based on the planar distribution map of this high-energy facies band, electronic equipment can recommend well locations to the administrator. These recommended well locations are those with high oil and gas content. For example, using... Figure 5 Taking the target area shown as an example, a total of 6 wells were deployed in the 32 square kilometers of high-energy carbonate rock facies zone, of which 5 wells are high-yield wells.

[0080] The method for identifying high-energy facies zones in carbonate rocks provided in this application involves an electronic device acquiring the geological background of the target area. Guided by the Wilson sedimentary facies model, the electronic device comprehensively utilizes the aforementioned information to establish a sedimentary facies model for the target area. This model includes the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata. The electronic device can use a certain range above the top surface of the target layer as the extraction range for attribute features, and extract these features. Based on the attribute features of the sedimentary facies models of the target layer and the overlying strata, the electronic device determines the interpretation template for high-energy facies zones in carbonate rocks within the target area. Based on the interpretation template, the electronic device determines the distribution of these high-energy facies zones. In this application, by acquiring the attribute features of the target area and determining the interpretation template based on these features, the method achieves accurate identification of high-energy facies zones in carbonate rocks and improves the identification accuracy.

[0081] Figure 6 This application provides a schematic diagram of the structure of a carbonate rock high-energy facies zone identification device according to an embodiment of the present application. Figure 6 As shown, the carbonate rock high-energy facies band identification device 10 of this embodiment is used to implement the operation corresponding to the electronic device in any of the above method embodiments. The carbonate rock high-energy facies band identification device 10 of this embodiment includes:

[0082] The model establishment module 11 is used to establish a sedimentary facies model based on the geological background of the target area. The sedimentary facies model includes the target layer sedimentary facies model and the overlying strata sedimentary facies model.

[0083] The first determining module 12 is used to determine the interpretation template of the high-energy carbonate facies zone in the target area based on the attribute characteristics of the sedimentary facies model of the target layer and the attribute characteristics of the sedimentary facies model of the overlying strata.

[0084] The second determining module 13 is used to determine the distribution of high-energy facies zones in carbonate rocks based on the interpretation template of the high-energy facies zones in carbonate rocks.

[0085] In one example, the overlying strata include at least one stratum that has a inherited developmental relationship with the sedimentary deposits of the target layer.

[0086] In one example, the attribute features include at least one of amplitude attribute, root mean square attribute, highlight volume attribute, and frequency attribute.

[0087] The carbonate rock high-energy facies zone identification device 10 provided in this application embodiment can execute the above method embodiment. Its specific implementation principle and technical effect can be found in the above method embodiment, and will not be repeated here.

[0088] Figure 7 This invention provides a schematic diagram of the structure of another carbonate rock high-energy facies zone identification device according to an embodiment of the present application. Figure 6 Based on the illustrated embodiments, as Figure 7 As shown, the carbonate rock high-energy facies band identification device 10 in this embodiment is used to implement the operation corresponding to the electronic device in any of the above method embodiments. The first determining module 12 and the second determining module 13 in this embodiment include:

[0089] The first determining submodule 121 is used to determine calibration values ​​based on the attribute characteristics of the sedimentary facies mode of the target layer. The calibration values ​​are used to distinguish between the high-energy facies zone and the low-energy facies zone of carbonate rocks.

[0090] The second determining submodule 122 is used to determine the high-energy carbonate facies zone in the target area based on the calibration values ​​and the attribute characteristics of the sedimentary facies mode in the target area.

[0091] The third determination submodule 123 is used to determine the interpretation template of the high-energy facies zone of carbonate rocks based on the high-energy facies zone of carbonate rocks in the target area.

[0092] The calibration submodule 131 is used to calibrate the interpretation template of the high-energy facies zone of carbonate rocks based on the production dynamic data of the target area.

[0093] The generation submodule 132 is used to generate a planar distribution map of the high-energy facies zone of carbonate rocks based on the interpretation template of the calibrated high-energy facies zone of carbonate rocks.

[0094] The carbonate rock high-energy facies zone identification device 10 provided in this application embodiment can execute the above method embodiment. Its specific implementation principle and technical effect can be found in the above method embodiment, and will not be repeated here.

[0095] Figure 8 A schematic diagram of the hardware structure of an electronic device according to an embodiment of this application is shown. Figure 8As shown, the electronic device 20 is used to implement the operation corresponding to the electronic device in any of the above method embodiments. The electronic device 20 in this embodiment may include: a memory 21 and a processor 22.

[0096] The memory 21 is used to store computer programs. The memory 21 may include high-speed random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device, and may also be a USB flash drive, external hard drive, read-only memory, disk or optical disc, etc.

[0097] Processor 22 is used to execute the computer program stored in the memory to implement the carbonate rock high-energy facies band identification method in the above embodiments. For details, please refer to the relevant descriptions in the foregoing method embodiments.

[0098] Alternatively, the memory 21 can be either standalone or integrated with the processor 22.

[0099] When the memory 21 is a device independent of the processor 22, the electronic device 20 may further include:

[0100] Bus 23 is used to connect memory 21 and processor 22.

[0101] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0102] The electronic device provided in this embodiment can be used to execute the above-described method for identifying high-energy facies bands in carbonate rocks. Its implementation method and technical effects are similar, and will not be described again in this embodiment.

[0103] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, is used to implement the methods provided in the various embodiments described above.

[0104] This application also provides a program product including executable instructions stored in a computer-readable storage medium. At least one processor of the device can read the executable instructions from the computer-readable storage medium, and the at least one processor executes the executable instructions to cause the device to implement the methods provided in the various embodiments described above.

[0105] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0106] The modules described as separate components may or may not be physically separate. The components shown as modules 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 the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0107] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The unit composed of the above modules can be implemented in hardware or in the form of hardware plus software functional units.

[0108] The integrated modules described above, implemented as software functional modules, can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods of the various embodiments of this application.

[0109] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for identifying high-energy facies bands in carbonate rocks, characterized in that, The method includes: Based on the geological background of the target area, a sedimentary facies model is established, which includes a target layer sedimentary facies model and an overlying strata sedimentary facies model. The target layer is the stratum that needs to be identified for high-energy carbonate facies zones, and the overlying strata include at least one stratum that has a inherited developmental relationship with the sedimentation of the target layer. The attribute features of the target layer sedimentary facies model and the overlying strata sedimentary facies model are extracted, and the attribute features include amplitude attributes, root mean square attributes, and bright volume attributes. Based on the attribute characteristics of the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata, an interpretation template for the high-energy carbonate facies zone in the target area is determined, including: determining a calibration value based on the attribute characteristics of the sedimentary facies model of the target layer, wherein the calibration value is used to distinguish between high-energy carbonate facies zones and low-energy carbonate facies zones; determining the boundaries of each facies zone based on the calibration value and the attribute characteristics to determine the high-energy carbonate facies zone in the target area; and determining an interpretation template for the high-energy carbonate facies zone based on the high-energy carbonate facies zone. Based on the interpretation template of the high-energy facies zone of the carbonate rock, the planar distribution map of the high-energy facies zone of the carbonate rock is determined.

2. The method according to claim 1, characterized in that, Based on the interpretation template of the high-energy facies zone of the carbonate rocks, determine the planar distribution map of the high-energy facies zone of the carbonate rocks, including: The interpretation template for the high-energy facies zone of the carbonate rock is calibrated based on the production dynamic data of the target area; Based on the calibrated interpretation template of the high-energy facies zone of the carbonate rock, a planar distribution map of the high-energy facies zone of the carbonate rock is generated.

3. The method according to claim 1 or 2, characterized in that, The attribute features also include frequency attributes.

4. A device for identifying high-energy facies zones in carbonate rocks, characterized in that, The device includes: The model building module is used to build a sedimentary facies model based on the geological background of the target area. The sedimentary facies model includes a target layer sedimentary facies model and an overlying strata sedimentary facies model. The target layer is the stratum that needs to be identified as a high-energy carbonate facies zone. The overlying strata include at least one stratum that has a inherited developmental relationship with the sedimentation of the target layer. The first determining module is used to determine the interpretation template of the high-energy carbonate facies zone in the target area based on the attribute characteristics of the sedimentary facies model of the target layer and the sedimentary facies model of the overlying strata. This includes: determining a calibration value based on the attribute characteristics of the sedimentary facies model of the target layer, the calibration value being used to distinguish between high-energy carbonate facies zones and low-energy carbonate facies zones; determining the boundaries of each facies zone based on the calibration value and the attribute characteristics to determine the high-energy carbonate facies zone in the target area; and determining the interpretation template of the high-energy carbonate facies zone based on the high-energy carbonate facies zone. The second determining module is used to determine the distribution of the high-energy facies zone of the carbonate rock based on the interpretation template of the high-energy facies zone of the carbonate rock; The first determining module is further configured to extract the attribute features of the target layer sedimentary facies model and the overlying strata sedimentary facies model, the attribute features including amplitude attributes, root mean square attributes and bright volume attributes.

5. An electronic device, characterized in that, The device includes: a memory and a processor; The memory is used to store a computer program; the processor is used to implement the method for identifying high-energy facies bands in carbonate rocks as described in any one of claims 1-3, based on the computer program stored in the memory.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, is used to implement the method for identifying high-energy facies bands in carbonate rocks as described in any one of claims 1-3.

7. A computer program product, characterized in that, The computer program product includes a computer program, characterized in that, when executed by a processor, the computer program implements the method for identifying high-energy facies bands in carbonate rocks as described in any one of claims 1-3.

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