Method and device for determining grade distribution of carbonate rock open-cut river channel
By using drilling, logging, seismic data, etc. to determine the level distribution of the Minghe River channel of carbonate rock, the problems of low exploration efficiency and accuracy in the existing technology are solved, and the accurate description of the Minghe River channel and the improvement of exploration efficiency are achieved.
Patent Information
- Application Number
- CN202311274125.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-28
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2043-09-28
AI Technical Summary
In carbonate oil and gas reservoir exploration, it is difficult for the existing technology to accurately characterize Minghe River channels, resulting in low exploration efficiency and accuracy, and is greatly affected by erosion and manual intervention.
By using drilling data, logging data, seismic data and sequential strata analysis results, the spatial distribution of the target strata is determined, and the sedimentary facies development distribution map is drawn, and the hierarchical distribution of the carbonate rock Minghe River channel is finally determined.
The hierarchical characterization of the Ming River channel is achieved, the exploration efficiency and accuracy are improved, the error caused by manual intervention and erosion is reduced, and the optimization of carbonate karst reservoirs is provided.
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Figure CN119717048A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of reservoir geophysical research, and in particular to a method and a device for determining the level distribution of a carbonate rock open river channel. Background Art
[0002] As the exploration and development of carbonate oil and gas reservoirs deepens, the Ming River has seriously restricted the success rate of exploration. The exploration experience of Tarim Oilfield over the years shows that most of the first and second-level river channels obviously control the development of water systems, and the third-level and lower river channels control the development of reservoirs. Therefore, the depiction of the Ming River channel is an important support for exploration.
[0003] In the actual application process, on the one hand, the paleo-geomorphology of the late sedimentation of the research target layer that geologists are concerned about is mostly unconformity surface, which generally undergoes weathering and erosion. In this case, the paleo-geomorphology restored by seismic data and residual thickness method alone will have more or less deviations, and it is difficult to find a suitable maximum flooding surface as a standard layer due to the influence of erosion, which makes the calculation relatively complicated; on the other hand, although it is relatively direct to use the current structure to depict the river channel, it still needs to be picked up manually, and the efficiency and accuracy will inevitably be limited by the level. Therefore, how to avoid the errors caused by erosion and human intervention and further improve the efficiency and accuracy of Minghe river channel depiction has become the key to exploration. Summary of the invention
[0004] The present invention provides a method and device for determining the level distribution of a carbonate rock river channel, so as to solve the problem that manual picking is required when depicting the river channel, resulting in low efficiency and precision.
[0005] According to one aspect of the present invention, a method for determining the level distribution of a carbonate rock river channel is provided, the method comprising:
[0006] Determine the spatial distribution of the target layer in the target detection area based on drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area;
[0007] Determine the sedimentary facies development distribution map according to the spatial distribution of the target layer;
[0008] According to the sedimentary phase development distribution map and drilling data, the level distribution of carbonate river channels in the target detection area is determined.
[0009] According to another aspect of the present invention, a device for determining the level distribution of a carbonate rock river channel is provided, the device comprising:
[0010] A spatial distribution determination module is used to determine the spatial distribution of the target layer in the target detection area based on the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area;
[0011] Sedimentary phase distribution determination module, used to determine the sedimentary phase development distribution map according to the spatial distribution of the target layer;
[0012] The level distribution determination module is used to determine the level distribution of carbonate rock channels in the target detection area based on the sedimentary phase development distribution map and drilling data.
[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:
[0014] at least one processor; and
[0015] a memory communicatively connected to at least one processor; wherein,
[0016] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the method for determining the level distribution of a carbonate rock river channel according to any embodiment of the present invention.
[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining the level distribution of a carbonate river channel according to any embodiment of the present invention when executed.
[0018] The technical solution of the embodiment of the present invention determines the spatial distribution of the target layer in the target detection area according to the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area; determines the sedimentary phase development distribution map according to the spatial distribution of the target layer; determines the grade distribution of the carbonate rock Minghe river channel in the target detection area according to the sedimentary phase development distribution map and the drilling data, thereby realizing the graded characterization of the Minghe river channel, improving the production efficiency and providing support for the optimization of carbonate karst reservoirs. .
[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0021] Figure 1This is a flow chart of a method for determining the level distribution of a carbonate rock river channel provided in Example 1 of the present invention;
[0022] Figure 2 is a flow chart of another method for determining the level distribution of a carbonate rock river channel provided in Embodiment 2 of the present invention;
[0023] Figure 3 It is a schematic diagram of the structure of a device for determining the level distribution of a carbonate rock river channel provided in accordance with Embodiment 3 of the present invention;
[0024] Figure 4 It is a schematic diagram of the structure of an electronic device for implementing the method for determining the level distribution of a carbonate rock river channel according to an embodiment of the present invention. DETAILED DESCRIPTION
[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.
[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0027] Embodiment 1
[0028] Figure 1 A flow chart of a method for determining the grade distribution of a carbonate rock river channel is provided for the first embodiment of the present invention. This embodiment can be applied to accurately identify carbonate rock river channels, thereby determining the grade distribution of carbonate rock river channels. The method can be executed by a device for determining the grade distribution of carbonate rock river channels. The device can be implemented in the form of hardware and / or software. The device can be configured in an electronic device with data processing capabilities. Figure 1 As shown, the method includes:
[0029] S110, determining the spatial distribution of the target layer in the target detection area based on the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area.
[0030] Drilling data can be a series of data obtained during the drilling process, including but not limited to drilling time, mud and the location of the emptying lost section. Logging data can be data measured by instruments after drilling is completed, including but not limited to logging curves, imaging logging and P-wave logging curves. Seismic data can be data obtained by monitoring earthquakes in the target detection area, including but not limited to earthquake magnitude, earthquake depth, earthquake location, earthquake time and earthquake waveform. The target detection area can be the spatial range of the spatial distribution of the monitoring target layer. The results of sequence stratigraphic analysis can be a study of the sedimentary sequence of the region, single well and connected wells based on drilling, logging and seismic data to clarify the distribution law of sedimentary phases. The spatial distribution of the target layer can be the three-dimensional distribution of the target layer in the target detection area, including but not limited to depth, width and height. The target layer can be an oil and gas reservoir in the target detection area.
[0031] By using the drilling data, logging data, seismic data and sequence stratigraphic analysis results of different wells in the target monitoring area, the length, width and depth of the target layer in the target monitoring area can be determined, thereby determining the spatial distribution of the target layer in the target detection area.
[0032] In an optional solution, determining the spatial distribution of the target layer in the target detection area based on drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area may include steps A1-A3:
[0033] Step A1: Determine the maximum flooding surface, the top isochronous reflection surface and the bottom formation reflection surface of the target layer based on the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area.
[0034] Step A2: Determine the seismic profile information of the target detection area according to the maximum flooding surface, the top isochronous reflection surface and the bottom stratum reflection surface of the target layer.
[0035] Step A3: Obtain the spatial distribution of the target layer based on the seismic profile information.
[0036] The maximum flooding surface may be the interface formed when the maximum transgression in the sequence can reach the position. The isochronous reflection surface may be the response of the equipotential surface on the seismic profile. The isochronous surface may be the boundary between any two stratigraphic biles. The top isochronous reflection surface may be the isochronous reflection surface at the top of the target layer. The bottom stratigraphic reflection surface may be the isochronous reflection surface at the bottom of the target layer. The seismic profile information may be the calibration result of the seismic profile, including position information, depth information, width information, etc.
[0037] When determining the spatial distribution of the target layer, it is necessary to determine the maximum flooding surface, the top isochronous reflection surface and the bottom formation reflection surface of the target layer based on the drilling data, logging data, seismic data and sequence stratigraphic analysis results of different wells in the target monitoring area, and then determine the boundary of the target layer.
[0038] By using the maximum flooding surface, top isochronous reflection surface and bottom stratum reflection surface of the target layer, the seismic profile in the target monitoring area is calibrated to obtain the seismic profile information in the target monitoring area, thereby determining the specific positions of the maximum flooding surface, the top isochronous reflection surface and the bottom stratum reflection surface on the seismic profile, and using the determined specific positions to determine the spatial distribution of the target layer in the target monitoring area.
[0039] S120. Determine the sedimentary phase development distribution map based on the spatial distribution of the target layer.
[0040] The sedimentary facies development distribution map can be the topography of carbonate rocks formed and remaining during the geological history period.
[0041] After determining the spatial distribution of the target layer, the topography of the carbonate rock can be marked according to the spatial distribution of the target layer, thereby drawing a sedimentary phase development distribution map.
[0042] In an optional solution, determining the sedimentary facies development distribution map according to the spatial distribution of the target layer may include steps B1-B5:
[0043] Step B1, calibrating the maximum flooding surface of the target layer according to the seismic data, and determining the first spatial distribution of the maximum flooding surface; wherein the first spatial distribution is the distribution of the maximum flooding surface in three-dimensional space;
[0044] Step B2: calibrate the top isochronous reflection surface of the target layer according to the seismic data to determine the second spatial distribution of the top isochronous reflection surface; wherein the second spatial distribution is the distribution of the top isochronous reflection surface in three-dimensional space;
[0045] Step B3: calibrate the bottom stratum reflection surface of the target layer according to the seismic data to determine the third spatial distribution of the bottom stratum reflection surface; wherein the third spatial distribution is the distribution of the bottom stratum reflection surface in three-dimensional space;
[0046] Step B4, determining micro paleo-geomorphology restoration data according to the first spatial distribution, the second spatial distribution, the third spatial distribution and the drilling data of at least one well in the target detection area;
[0047] Step B5: Determine the sedimentary phase development distribution map based on the micro-paleomorphological restoration data.
[0048] The first spatial distribution can be the distribution of the maximum flooding surface in the target monitoring area in three-dimensional space. The second spatial distribution can be the distribution of the top isochronous reflection surface in the target monitoring area in three-dimensional space. The third spatial distribution can be the distribution of the bottom stratum reflection surface in the target monitoring area in three-dimensional space.
[0049] By using seismic data, the maximum flooding surface, the top isochronous reflection surface and the bottom stratum reflection surface of the target layer are interpreted in three-dimensional space, and the distribution of the large flooding surface, the top isochronous reflection surface and the bottom stratum reflection surface of the target layer in three-dimensional space can be determined, including but not limited to length, width and depth, so as to obtain the first spatial distribution, the second spatial distribution and the third spatial distribution respectively. After determining the first spatial distribution, the second spatial distribution and the third spatial distribution, the location of the Minghe River channel in the first spatial distribution, the second spatial distribution and the third spatial distribution can be determined according to the drilling data of at least one well in the target detection area, so as to determine the micro paleo-geomorphology restoration data, and finally, according to the micro paleo-geomorphology restoration data, the sedimentary phase development distribution map can be drawn.
[0050] The Minghe river channel can be the river channel exposed on the upper surface of carbonate rocks. The micro-paleomorphological restoration data can be the specific data used to construct the sedimentary phase development distribution map.
[0051] In an optional solution, determining micro paleo-geomorphology restoration data according to the first spatial distribution, the second spatial distribution, the third spatial distribution and the drilling data of at least one well in the target detection area may include steps C1-C2:
[0052] Step C1, according to the drilling data of at least one well in the target detection area, determine the target layer layer data corresponding to at least one well and the Minghe drilling data.
[0053] Step C2: Determine the micro paleo-geomorphology restoration data according to the first spatial distribution, the second spatial distribution, the third spatial distribution, the target layer stratification data and the Minghe drilling data.
[0054] The target layer stratification data can be used for the wells that have been drilled, and the target layer system is clarified through logging and other data. The Minghe drilling data can be the stratification data of the target layer in the wells that drilled into the Minghe River.
[0055] Since not every well in the target monitoring area can reach the carbonate rock river, it is necessary to determine each well in the target monitoring area to obtain the corresponding target layer stratification data and the river encounter data. At this time, the wells that drilled to the carbonate rock river in the target monitoring area can be determined, and according to the corresponding target layer stratification data and the river encounter data, the first spatial distribution, the second spatial distribution and the third spatial distribution are corrected to determine the micro paleo-geomorphology restoration data.
[0056] In an optional solution, determining the sedimentary phase development distribution map based on micro-paleomorphological restoration data may include steps D1-D3:
[0057] Step D1: construct an initial sedimentary phase development distribution map based on micro-paleomorphological restoration data.
[0058] Step D2: According to the initial trend surface of the target layer and the drilling data, the initial sedimentary phase development distribution map is fitted to determine the target trend surface.
[0059] Step D3: Process the initial sedimentary facies development distribution map according to the target trend surface to obtain a sedimentary facies development distribution map.
[0060] The initial sedimentary facies development distribution map may be a sedimentary facies development distribution map directly drawn from micro-paleomorphological restoration data. The initial trend surface may be a trend surface determined based on the initial sedimentary facies development distribution map. The target trend surface may be a trend surface obtained by smoothing the initial regional surface.
[0061] After obtaining the micro-paleomorphology restoration data and constructing the initial sedimentary facies development distribution map, since there is a certain fluctuation at the top of the initial sedimentary facies development distribution map, it is necessary to use the initial trend surface and drilling data to perform multiple fittings on the top of the initial sedimentary facies development distribution map, so as to reduce the fluctuations and obtain the target trend surface. The initial sedimentary facies development distribution map is subtracted from the target trend surface to obtain the sedimentary facies development distribution map.
[0062] S130. Determine the level distribution of carbonate river channels in the target detection area based on the sedimentary phase development distribution map and drilling data.
[0063] The grade distribution can be used to describe the graded distribution of different open river channels of carbonate rocks in the target monitoring area.
[0064] After obtaining the sedimentary facies development distribution map, the sedimentary facies development distribution map and drilling data can be used to determine the spatial distribution of different Minghe channels, and then determine the levels of different Minghe channels, and then determine the level distribution of carbonate Minghe channels in the target detection area.
[0065] According to the technical solution of the embodiment of the present invention, the spatial distribution of the target layer in the target detection area is determined based on the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area; the sedimentary phase development distribution map is determined based on the spatial distribution of the target layer; the level distribution of the carbonate Minghe river channel in the target detection area is determined based on the sedimentary phase development distribution map and the drilling data, thereby realizing the hierarchical characterization of the Minghe river channel, improving production efficiency and providing support for the optimization of carbonate karst reservoirs.
[0066] Embodiment 2
[0067] Figure 2 The present invention provides a flowchart of another method for determining the level distribution of carbonate rock river channels. Based on the above embodiment, this embodiment further optimizes the process of determining the level distribution of carbonate rock river channels in the target detection area according to the sedimentary phase development distribution map and drilling data in the above embodiment. This embodiment can be combined with various optional solutions in one or more of the above embodiments. Figure 2 As shown, the method for determining the level distribution of a carbonate rock river channel in this embodiment may include the following steps:
[0068] S210, determining the spatial distribution of the target layer in the target detection area based on the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area.
[0069] S220. Determine the sedimentary phase development distribution map based on the spatial distribution of the target layer.
[0070] S230, the sedimentary phase development distribution map is enlarged to a preset multiple, and the interval contour lines are marked to obtain an interval contour line map.
[0071] The preset multiple may be a multiple determined based on historical experience. The interval contour line may be a contour line used to represent terrain height or other attributes. The interval contour line map may be an image obtained by annotating the sedimentary facies development distribution map using interval contour lines.
[0072] Since the size of the sedimentary facies development distribution map is often small, it is necessary to enlarge the sedimentary facies development distribution map so that it can be accurately marked with interval contour lines to obtain an interval contour line map.
[0073] S240. Determine the level distribution of carbonate river channels in the target detection area based on the drilling data and the interval contour map.
[0074] According to the drilling data and the interval contour map, different bright river channels of the carbonate rocks in the target detection area can be marked in the interval contour map, and then the outlines of different bright river channels can be determined, and then the level distribution of the bright river channels of the carbonate rocks in the target detection area can be determined.
[0075] In an optional solution, the level distribution of the carbonate river channel in the target detection area can be determined based on the drilling data and the interval contour map, which may include steps E1-E3:
[0076] Step E1: Determine the spatial distribution of the carbonate rock river channel based on the drilling data and the interval contour map.
[0077] Step E2: Determine the channel interval contour lines corresponding to the channel spatial distribution according to the channel spatial distribution and the interval contour line map.
[0078] Step E3: Determine the level distribution of the carbonate rock river channels in the target detection area based on the channel interval contour lines and the target trend surface.
[0079] The spatial distribution of the river channel may be the distribution of the river channel of a bright river in three-dimensional space. The interval contour lines of the river channel may be interval contour lines that coincide with the contour of the river channel.
[0080] After obtaining the drilling data and interval contour map, the drilling data can be used to determine the wells that have been drilled into the Ming River, and the spatial distribution of the carbonate rock Ming River channel can be determined based on the drilling data and interval contour map of the wells that have been drilled into the Ming River. Based on the spatial distribution of the channel and the interval contour map, the interval contour lines of the channel that overlap with the Ming River channel outline can be determined, and finally the classification of different Ming River channels can be determined based on the height changes of the target trend surface, the width and depth of the Ming River channel, and finally the level distribution of the carbonate rock Ming River channel in the target detection area can be determined.
[0081] According to the technical solution of the embodiment of the present invention, the sedimentary phase development distribution map is magnified to a preset multiple, and the interval contour lines are marked to obtain an interval contour line map, and the level distribution of the carbonate river channel in the target detection area is determined based on the drilling data and the interval contour line map. The determination process of the carbonate river channel classification can be clarified, thereby ensuring the accuracy of the determination result.
[0082] Embodiment 3
[0083] Figure 3The present invention provides a structural block diagram of a device for determining the grade distribution of a carbonate rock river channel. This embodiment can be used to accurately identify carbonate rock river channels, thereby determining the grade distribution of carbonate rock river channels. The device for determining the grade distribution of a carbonate rock river channel can be implemented in the form of hardware and / or software, and can be configured in an electronic device with data processing capabilities. Figure 3 As shown, the device for determining the level distribution of a carbonate rock river channel in this embodiment may include: a spatial distribution determination module 310, a sedimentary phase distribution determination module 320 and a level distribution determination module 330.
[0084] in:
[0085] The spatial distribution determination module 310 is used to determine the spatial distribution of the target layer in the target detection area based on the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area;
[0086] Sedimentary facies distribution determination module 320, used to determine the sedimentary facies development distribution map according to the spatial distribution of the target layer;
[0087] The level distribution determination module 330 is used to determine the level distribution of the carbonate rock channel in the target detection area according to the sedimentary phase development distribution map and drilling data.
[0088] Based on the above embodiment, optionally, the spatial distribution determination module 310 includes:
[0089] A reflection surface determination unit, for determining the maximum flooding surface, the top isochronous reflection surface and the bottom formation reflection surface of the target layer according to the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area;
[0090] A profile information determination unit, used to determine the seismic profile information of the target detection area according to the maximum flooding surface, the top isochronous reflection surface and the bottom stratum reflection surface of the target layer;
[0091] The spatial distribution determination unit is used to obtain the spatial distribution of the target layer according to the seismic profile information.
[0092] Based on the above embodiment, optionally, the sedimentary phase distribution determination module 320 includes:
[0093] A first spatial distribution determination unit is used to calibrate the maximum flooding surface of the target layer according to the seismic data, and determine the first spatial distribution of the maximum flooding surface; wherein the first spatial distribution is the distribution of the maximum flooding surface in three-dimensional space;
[0094] A second spatial distribution determination unit is used to calibrate the top isochronous reflection surface of the target layer according to the seismic data, and determine the second spatial distribution of the top isochronous reflection surface; wherein the second spatial distribution is the distribution of the top isochronous reflection surface in three-dimensional space;
[0095] A third spatial distribution determination unit is used to calibrate the bottom stratum reflection surface of the target layer according to the seismic data, and determine the third spatial distribution of the bottom stratum reflection surface; wherein the third spatial distribution is the distribution of the bottom stratum reflection surface in three-dimensional space;
[0096] A restored data determination unit, used to determine micro paleo-geomorphology restored data according to the first spatial distribution, the second spatial distribution, the third spatial distribution and the drilling data of at least one well in the target detection area;
[0097] The development distribution map determination unit is used to determine the sedimentary phase development distribution map based on the micro-paleomorphological restoration data.
[0098] Based on the above embodiment, optionally, the recovery data determination unit includes:
[0099] A drilling data acquisition subunit, for determining target layer stratification data corresponding to at least one well and Minghe drilling data according to drilling data of at least one well in the target detection area;
[0100] The paleo-geomorphology data acquisition subunit is used to determine the micro paleo-geomorphology restoration data according to the first spatial distribution, the second spatial distribution, the third spatial distribution, the target layer stratification data and the Minghe drilling data.
[0101] Based on the above embodiment, optionally, the development distribution map determining unit includes:
[0102] The initial distribution map determines the subunits, which are used to construct the initial sedimentary facies development distribution map based on the micro-paleomorphological restoration data;
[0103] The target trend surface determination subunit is used to fit the initial sedimentary phase development distribution map according to the initial trend surface of the target layer and drilling data to determine the target trend surface;
[0104] The sedimentary facies development determination subunit is used to process the initial sedimentary facies development distribution map according to the target trend surface to obtain the sedimentary facies development distribution map.
[0105] Based on the above embodiment, optionally, the level distribution determination module 330 includes:
[0106] The interval contour map determination unit is used to amplify the sedimentary facies development distribution map to a preset multiple, and mark the interval contour lines to obtain the interval contour map;
[0107] The level distribution determination unit is used to determine the level distribution of the carbonate rock open river channel in the target detection area based on the drilling data and the interval contour map.
[0108] Based on the above embodiment, optionally, the level distribution determining unit includes:
[0109] The channel spatial distribution determination subunit is used to determine the channel spatial distribution of carbonate rock open river channels based on drilling data and interval contour maps;
[0110] A channel interval contour line determination subunit is used to determine the channel interval contour lines corresponding to the channel spatial distribution according to the channel spatial distribution and the interval contour line map;
[0111] The channel level distribution determination subunit is used to determine the level distribution of carbonate rock channels in the target detection area based on the channel interval contour lines and the target trend surface.
[0112] The device for determining the level distribution of a carbonate rock river channel provided in an embodiment of the present invention can execute the method for determining the level distribution of a carbonate rock river channel provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.
[0113] Embodiment 4
[0114] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.
[0115] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0116] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.
[0117] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a method for determining the level distribution of a carbonate rock river channel.
[0118] In some embodiments, the method for determining the level distribution of a carbonate rock river channel may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining the level distribution of a carbonate rock river channel described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for determining the level distribution of a carbonate rock river channel by any other appropriate means (e.g., by means of firmware).
[0119] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.
[0120] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.
[0121] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0122] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).
[0123] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.
[0124] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.
[0125] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.
[0126] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for determining the level distribution of a carbonate rock river channel, characterized in that: include: Determine the spatial distribution of the target layer in the target detection area based on drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area; Determine the sedimentary facies development distribution map according to the spatial distribution of the target layer; According to the sedimentary phase development distribution map and the drilling data, the level distribution of the carbonate river channel in the target detection area is determined.
2. The method according to claim 1, characterized in that Determining the spatial distribution of the target layer in the target detection area according to the drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area includes: Determine the maximum flooding surface, the top isochronous reflection surface, and the bottom formation reflection surface of the target layer according to the drilling data, the logging data, the seismic data, and the sequence stratigraphic analysis results of the at least one well in the target detection area; Determine the seismic profile information of the target detection area according to the maximum flooding surface, the top isochronous reflection surface and the bottom stratum reflection surface of the target layer; The spatial distribution of the target layer is obtained according to the seismic profile information.
3. The method according to claim 2, characterized in that Determining the sedimentary facies development distribution map according to the spatial distribution of the target layer includes: According to the seismic data, the maximum flooding surface of the target layer is calibrated to determine a first spatial distribution of the maximum flooding surface; wherein the first spatial distribution is the distribution of the maximum flooding surface in three-dimensional space; Calibrate the top isochronous reflection surface of the target layer according to the seismic data to determine a second spatial distribution of the top isochronous reflection surface; wherein the second spatial distribution is the distribution of the top isochronous reflection surface in three-dimensional space; According to the seismic data, the bottom formation reflection surface of the target layer is calibrated to determine the third spatial distribution of the bottom formation reflection surface; wherein the third spatial distribution is the distribution of the bottom formation reflection surface in three-dimensional space; Determine the micro paleo-geomorphology restoration data according to the first spatial distribution, the second spatial distribution, the third spatial distribution and the drilling data of the at least one well in the target detection area; The sedimentary phase development distribution map is determined based on the micro-paleomorphological restoration data.
4. The method according to claim 3, characterized in that Determining the micro paleo-geomorphology restoration data according to the first spatial distribution, the second spatial distribution, the third spatial distribution and the drilling data of the at least one well in the target detection area includes: Determine target layer stratification data and Minghe drilling data corresponding to the at least one well according to the drilling data of the at least one well in the target detection area; The micro paleo-geomorphology restoration data is determined according to the first spatial distribution, the second spatial distribution, the third spatial distribution, the target layer stratification data and the Minghe drilling data.
5. The method according to claim 3, characterized in that: Determining the sedimentary phase development distribution map according to the micro-paleomorphology restoration data includes: Based on the micro-paleomorphological restoration data, construct an initial sedimentary phase development distribution map; According to the initial trend surface of the target layer and the drilling data, the initial sedimentary phase development distribution map is fitted to determine the target trend surface; The initial sedimentary facies development distribution map is processed according to the target trend surface to obtain the sedimentary facies development distribution map.
6. The method according to claim 1, characterized in that Determining the level distribution of the carbonate rock river channel in the target detection area according to the sedimentary phase development distribution map and the drilling data includes: The sedimentary phase development distribution map is magnified to a preset multiple, and the interval contour lines are marked to obtain an interval contour line map; The level distribution of the carbonate river channels in the target detection area is determined based on the drilling data and the interval contour map.
7. The method according to claim 6, characterized in that Determining the level distribution of the carbonate river channel in the target detection area according to the drilling data and the interval contour map includes: Determine the spatial distribution of the carbonate rock river channel based on the drilling data and the interval contour map; Determining the channel interval contour lines corresponding to the channel spatial distribution according to the channel spatial distribution and the interval contour line map; According to the channel interval contour lines and the target trend surface, the level distribution of the carbonate rock open river channels in the target detection area is determined.
8. A device for determining the level distribution of a carbonate rock river channel, characterized in that: include: A spatial distribution determination module, used to determine the spatial distribution of the target layer in the target detection area based on drilling data, logging data, seismic data and sequence stratigraphic analysis results of at least one well in the target detection area; A sedimentary facies distribution determination module is used to determine a sedimentary facies development distribution map according to the spatial distribution of the target layer; The level distribution determination module is used to determine the level distribution of the carbonate river channel in the target detection area according to the sedimentary phase development distribution map and the drilling data.
9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the level distribution of a carbonate river channel as described in any one of claims 1-7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining the level distribution of a carbonate river channel according to any one of claims 1 to 7 when executed.
Citation Information
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