Thin sand body reservoir location determination method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application disclose a thin sand body reservoir position determination method and device, electronic equipment and a storage medium. The method comprises: determining at least two super-short-term cycles of a to-be-explored area and horizon data of the at least two super-short-term cycles; determining a paleo-channel plane distribution map of the to-be-explored area according to the horizon data of the super-short-term cycles and a paleo-current direction; determining a thin sand body prediction plane distribution map of the to-be-explored area according to the horizon data of the at least two super-short-term cycles by using a seismic inversion technique; and superimposing the paleo-channel plane distribution map and the thin sand body prediction plane distribution map to determine the thin sand body reservoir position. The technical solution of the embodiments of the present application determines the horizon data, the paleo-channel plane distribution map and the thin sand body prediction plane distribution map in turn through the idea of step-by-step constraint, and finally obtains the thin sand body reservoir position. The solution reduces the multiple solutions of seismic prediction and improves the accuracy of determining the thin sand body reservoir position.

Description

TECHNICAL FIELD

[0001] The embodiment of the present application relates to the technical field of oil reservoir prediction, in particular to a thin sand body reservoir position determination method and device, electronic equipment and storage medium. BACKGROUND

[0002] For the research of thin layer, the petroleum groups and geophysicists in China and western developed countries have been challenging this complex scientific proposition theoretically. In the past 30 years, although certain progress has been made, the requirement of accurate prediction of thin sand body cannot be met.

[0003] The thin sand body with single layer thickness less than 1 / 4 wavelength, the thickness is less than the traditional vertical resolution of the earthquake, according to the current seismic data condition, the sand body thickness of 20-30m is the limit of the seismic exploration resolution. However, the thickness of the thin sand body is generally lower than the limit value, especially in the western region, the low frequency band of the seismic data is narrow, and it is difficult to predict the 2-4m thin sand body by using the seismic data. SUMMARY

[0004] The embodiment of the present application provides a thin sand body reservoir position determination method and device, electronic equipment and storage medium, so as to reduce the multi-solution of thin sand body prediction and improve the accuracy of thin sand body reservoir position determination.

[0005] In the first aspect, the embodiment of the present application provides a thin sand body reservoir position determination method, comprising:

[0006] Determine at least two super short cycles of a to-be-explored area and horizon data of the at least two super short cycles; wherein the to-be-explored area comprises a thin sand body and a paleochannel;

[0007] According to the horizon data of the super short cycle and the paleocurrent direction, the paleochannel planar distribution map of the to-be-explored area is determined; wherein the bottom end of the paleochannel comprises a thin sand body;

[0008] According to the horizon data of the at least two super short cycles, the thin sand body prediction planar distribution map of the to-be-explored area is determined by using the seismic inversion technology;

[0009] Superimpose the paleochannel planar distribution map and the thin sand body prediction planar distribution map to determine the thin sand body reservoir position.

[0010] In the second aspect, the embodiment of the present application further provides a thin sand body reservoir position determination device, comprising:

[0011] The information acquisition module is used for determining at least two super short cycles of a to-be-explored area and horizon data of the at least two super short cycles; wherein the to-be-explored area comprises a thin sand body and a paleochannel;

[0012] an ancient river channel plane distribution map determination module configured to determine an ancient river channel plane distribution map of the area to be explored according to the horizon data of the ultra-short-term cycle and the ancient water flow direction, wherein the bottom end of the ancient river channel comprises a thin sand body;

[0013] a thin sand body predicted plane distribution map determination module configured to determine a thin sand body predicted plane distribution map of the area to be explored according to the horizon data of the at least two ultra-short-term cycles by using a seismic inversion technique;

[0014] a thin sand body reservoir position determination module configured to superimpose the ancient river channel plane distribution map and the thin sand body predicted plane distribution map to determine the thin sand body reservoir position.

[0015] In a third aspect, an electronic device is provided, and the electronic device includes:

[0016] one or more processors;

[0017] a memory configured to store one or more programs;

[0018] when the one or more programs are executed by the one or more processors, the one or more processors implement the thin sand body reservoir position determination method according to any of the embodiments of the present application.

[0019] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the program is executed by a processor to implement the thin sand body reservoir position determination method according to any of the embodiments of the present application.

[0020] The embodiment of the present application provides a thin sand body reservoir position determination method, device, electronic equipment and storage medium, at least two super short term cycles of a to-be-explored area are determined, and layer data of the at least two super short term cycles; wherein the to-be-explored area includes a thin sand body and a paleochannel; according to the layer data of the super short term cycle and the paleocurrent direction, a paleochannel plane distribution map of the to-be-explored area is determined; wherein the bottom end of the paleochannel includes the thin sand body; according to the layer data of the at least two super short term cycles, a thin sand body prediction plane distribution map of the to-be-explored area is determined by using a seismic inversion technology; the paleochannel plane distribution map and the thin sand body prediction plane distribution map are superimposed to determine the thin sand body reservoir position. The technical scheme of the embodiment of the present application is adopted, the cycle division is carried out on the basis of the geological model constraint of the to-be-explored area, the layer data is determined, the paleogeomorphology recovery is carried out on the basis of the cycle constraint, the paleochannel plane distribution map is determined, the paleogeomorphology constraint is carried out on the basis of the paleochannel delineation, the seismic inversion is carried out on the basis of the river channel constraint, and the thin sand body prediction plane distribution map is determined; finally, the relatively accurate thin sand body reservoir position is obtained according to the paleochannel plane distribution map and the thin sand body prediction plane distribution map. The multi-solution of seismic prediction is reduced, and the accuracy of the thin sand body reservoir position determination is improved. BRIEF DESCRIPTION OF DRAWINGS

[0021] Other features, objects, and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments thereof, read in conjunction with the accompanying drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be construed as limiting the present application. Furthermore, like reference numerals designate like parts throughout the drawings. In the drawings:

[0022] Figure 1 is a flow chart of a thin sand body reservoir position determination method provided in the embodiment of the present application;

[0023] Figure 2 is a thin sand body comprehensive prediction flowchart provided in the embodiment of the present application;

[0024] Figure 3 is a sand body geological model schematic diagram provided in the embodiment of the present application;

[0025] Figure 4 is a paleochannel binary structure geological model schematic diagram provided in the embodiment two of the present application;

[0026] Figure 5 is a super short term cycle division and seismic sequence profile provided in the embodiment of the present application;

[0027] Figure 6 is a paleogeomorphology recovery and paleochannel distribution range schematic diagram provided in the embodiment of the present application;

[0028] Figure 7 is a colored inversion plane diagram provided in an embodiment of the present application;

[0029] Figure 8 is a frequency division inversion plane diagram provided in an embodiment of the present application;

[0030] Figure 9 is a thin sand body plane distribution range diagram provided in an embodiment of the present application;

[0031] Figure 10 is a thin sand body reservoir location drilling profile diagram provided in an embodiment of the present application;

[0032] Figure 11 is a structural diagram of a thin sand body reservoir location determination device provided in an embodiment of the present application;

[0033] Figure 12 is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] The present application will be further described below in conjunction with the drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only the parts related to the present application are shown in the drawings, but not all the structures.

[0035] Before discussing the example embodiments in more detail, it should be mentioned that some of the example embodiments are described as processes or methods depicted as flow charts. While the processes are described in serial fashion, many of the operations (or steps) can be performed concurrently, in parallel, or simultaneously. In addition, the order of the operations can be re-arranged. The processes can be terminated when their operations are completed, but the processes can also have additional steps not included in the figure. The processes can correspond to methods, functions, routines, subroutines, etc.

[0036] In the technical scheme of the present application, the acquisition, storage, use and processing of data all comply with the relevant provisions of national laws and regulations.

[0037] Figure 1 is a flow chart of a thin sand body reservoir location determination method provided in an embodiment of the present application. The present embodiment can be applicable to the case of determining the reservoir location of a thin sand body. The method of the present embodiment can be executed by a thin sand body reservoir location determination device, which can be realized in the form of hardware and / or software. The device can be configured in a server for determining the reservoir location of a thin sand body. The method specifically includes the following steps:

[0038] S110. Determine at least two ultra-short-term cycles in the area to be explored and the stratigraphic data of the at least two ultra-short-term cycles.

[0039] The area to be explored can refer to a region with well-developed thin sand bodies and sufficient sand bodies, including but not limited to thin sand bodies and paleochannels. For example, the area to be explored could be a region where thin sand bodies are developed in the delta front subfacies, and where the underwater distributary channel microfacies provides sufficient sand bodies.

[0040] Short-term cycles can refer to smaller genetic stratigraphic units that can be identified based on actual data such as field outcrops, drilling cores, or well logging curves. They are generally composed of several superimposed ultra-short-term cycle sequences with similar structures and lithological combinations.

[0041] Stratigraphic data can refer to stratigraphic data at a specific location in a stratigraphic sequence. The stratigraphic data includes, but is not limited to, the top-level data of ultra-short-term cycles and stratigraphic data.

[0042] As an optional but not limiting implementation, determining at least two ultra-short-term cycles of the area to be explored includes, but is not limited to, steps A1-A2:

[0043] Step A1: Establish a geological model of the sand body in the area to be explored; wherein, the geological model of the sand body in the area to be explored includes a paleochannel geological model and a sand body geological model.

[0044] Among them, see Figure 2 When predicting thin sand bodies, since they often appear at the bottom of river channels, the distribution of paleochannels is determined by establishing geological models and interpreting geological data, thereby pinpointing the location of the thin sand bodies. The geological model can refer to a sand body geological model of the area to be explored, which includes both paleochannel geological models and sand body geological models.

[0045] Among them, such as Figure 3 The image shows a sand body geological model, using the Jurassic Sangonghe Formation in the Mahu Depression of the Junggar Basin as an example. The model includes well-to-well correlation diagrams to indicate the location of the sand body. Figure 4 The diagram shows a binary geological model of paleochannels, indicating that the presence of paleochannels implies the presence of sand, demonstrating a shift in thinking from predicting thin sand bodies to predicting paleochannels, thus broadening the vertical resolution of seismic data. While thin sand bodies of 2-4m cannot be identified by seismic activity, extending them into a paleochannel sand group allows for relatively easy and accurate identification of paleochannels of 30-60m, which correspond to thin sand bodies.

[0046] Step A2: Based on the geological model of the sand body in the area to be explored, the area to be explored is divided into ultra-short-term cycles to obtain at least two ultra-short-term cycles.

[0047] Under the constraint of the palaeo-channel geological model and the sand body geological model, the super short-term cycle division is performed on the to-be-explored area by using well-seismic combination. Referring to Figure 5 , the to-be-explored area is divided into one short-term cycle and three super short-term cycles, i.e., three quasi-sequences. Each super short-term cycle corresponds to one palaeo-channel, indicating that the to-be-explored area develops three channels, corresponding to three favorable thin sand bodies. Figure 5 It can be known that the super short-term cycle includes J1S3 1 , J1S3 2 and J1S3 3 .

[0048] As an optional but non-limiting implementation manner, the determination of the horizon data of the at least two super short-term cycles includes but is not limited to the following steps B1-B2:

[0049] Step B1: obtaining drilling data of the to-be-explored area, the drilling data including depths of each stratum in the to-be-explored area.

[0050] Step B2: determining the horizon data of the at least two super short-term cycles according to the drilling data and high-resolution sequence stratigraphic interpretation technology; the horizon data including top depth data and bottom depth data of the super short-term cycle.

[0051] Among them, the top and bottom interfaces of the three palaeo-channels can be easily and accurately identified in the vertical resolution of the seismic data based on the super short-term cycle as a unit, and the horizon data of the three channels are obtained by horizon tracking based on the high-resolution sequence stratigraphic interpretation technology. For example, the top and bottom depth data of the palaeo-channel have been obtained on the drilling data, and the depth data is calibrated to the seismic data volume, which corresponds to a certain event. Along the event, the horizon data of the at least two super short-term cycles can be obtained by tracking.

[0052] S120, determining the palaeo-channel planar distribution map of the to-be-explored area according to the horizon data of the super short-term cycle and the palaeo-current direction.

[0053] Among them, the bottom end of the palaeo-channel includes the thin sand body; as the palaeo-current flows, the sand body also moves, and the sand body is mostly deposited at the bottom end of the palaeo-channel to form the thin sand body. Under the constraint of the super short-term cycle, the palaeo-geomorphology recovery in the deposition period is performed based on the high-resolution sequence stratigraphic interpretation; under the constraint of the palaeo-geomorphology in the deposition period, the palaeo-channel fine interpretation is carried out by using the stratum dip angle palaeo-current discrimination method, and finally the planar distribution of the palaeo-channel is obtained.

[0054] As an optional but non-limiting implementation, the determining the paleo-channel planar distribution map of the area to be explored according to the horizon data of the ultra-short-term cycle and the paleo-current direction includes but is not limited to steps C1-C3:

[0055] Step C1: restoring the paleo-geomorphology of the area to be explored according to the horizon data of the ultra-short-term cycle to determine the paleo-geomorphology map of the area to be explored in the sedimentary period.

[0056] In the paleo-geomorphology restoration, the thickness obtained by subtracting the depth data of two layers represents the paleo-geomorphology of the layer. For example, the depth data of the top and bottom of the third sand group is obtained, and then the thickness is obtained by subtracting the two layers, which is the paleo-geomorphology of the third sand group. The place with thin thickness represents the stratum is high at that time, the place with thick thickness represents the stratum is low at that time, and the water flow is in the low-lying place and does not cross the mountain.

[0057] Step C2: determining the stratum dip angle according to the drilling data, and determining the paleo-current direction according to the stratum dip angle.

[0058] In the step C2, the stratum dip angle is used to determine the paleo-current direction, which is a conventional technique in the petroleum industry. The dip angle logging is used to determine the stratum dip angle, and the dip angle logging data at each depth is used to determine the paleo-current direction of the corresponding point.

[0059] Step C3: determining the paleo-channel planar distribution map of the area to be explored according to the paleo-geomorphology map of the area to be explored in the sedimentary period and the paleo-current direction.

[0060] In the step C3, the accuracy of the paleo-geomorphology map is verified based on the paleo-geomorphology in the sedimentary period and the drilling data of the area to be explored. Figure 6 As shown in the figure, the low-lying place indicates that the water body is deep, which is the area where the river flows through. At the same time, the paleo-current direction is finely described by using the stratum dip angle and the paleo-current determination method. The stratum dip angle logging data contains rich geological information, and the accuracy of the paleo-current determination of a single well point is high. The paleo-geomorphology in the sedimentary period is finely interpreted by combining the stratum dip angle logging data of the drilled well and the logging information of the drilled well, and finally the planar distribution of the paleo-channel is obtained.

[0061] S130: determining the thin sand body prediction planar distribution map of the area to be explored by using the seismic inversion technique according to the horizon data of the at least two ultra-short-term cycles.

[0062] Wherein, under the constraint of ancient river distribution, thin sand body is predicted by using seismic inversion technology.

[0063] As an optional but not limited implementation, the thin sand body prediction plane distribution of the area to be explored is determined by using seismic inversion technology according to the stratigraphic data of the at least two super-short-term cycles, including but not limited to steps D1-D3:

[0064] Step D1: The first thin sand body prediction plane distribution of the area to be explored is determined by using colored inversion technology according to the stratigraphic data of the at least two super-short-term cycles.

[0065] Step D2: The second thin sand body prediction plane distribution of the area to be explored is determined by using frequency division inversion technology according to the stratigraphic data of the at least two super-short-term cycles.

[0066] Step D3: The thin sand body prediction plane distribution of the area to be explored is determined according to the first thin sand body prediction plane distribution and the second thin sand body prediction plane distribution.

[0067] Wherein, the thin sand body reservoir is predicted by using seismic inversion technology according to the obtained stratigraphic data of the at least two super-short-term cycle groups. This work is an inversion study on the divided super-short-term cycle, which reduces the multi-solution of prediction to a certain extent. At the same time, as shown in the colored inversion, the colored inversion has obvious advantages in the few well areas, and as shown in the frequency division inversion, the frequency division inversion has good effect on the thin interbedded layer prediction. Therefore, the thin sand body obtained by using the seismic inversion technology has certain reference, and under the constraint of the fine ancient river, the sand body interpretation is strong in operability, and the sand body distribution is good in comparability. Figure 7 Figure 8

[0068] S140, superimpose the ancient river plane distribution map and the thin sand body prediction plane distribution map to determine the position of the thin sand body reservoir.

[0069] Wherein, the ancient river plane distribution map and the thin sand body prediction plane distribution map are verified and superimposed with each other, so that the distribution range of the thin sand body reservoir can be obtained.

[0070] ​​As an optional but not limiting implementation, the method of overlaying the paleochannel planar distribution map with the predicted planar distribution map of the thin sand body to determine the location of the thin sand body reservoir includes, but is not limited to, steps E1-E3:

[0071] Step E1: Determine the planar distribution range of the thin sand body based on the ancient river channel planar distribution map and the predicted planar distribution map of the thin sand body.

[0072] Among them, such as Figure 9 As shown, the distribution range of the thin sand bodies on the plane is obtained based on the ancient river channel planar distribution map and the predicted thin sand body planar distribution map. The thin sand bodies are mainly distributed at wells AH013, A18, M30, and M26.

[0073] Step E2: Based on the stratigraphic data of the at least two ultra-short-term cycles, determine the vertical distribution range of the thin sand body.

[0074] Specifically, based on stratigraphic data from at least two ultra-short-term cycles, the vertical distribution range of the thin sand body at wells AH013, A18, M30, and M26 was determined.

[0075] Step E3: Determine the location of the thin sand body reservoir based on its planar distribution range and its vertical distribution range.

[0076] like Figure 10 As shown, the location of the thin sand body reservoir is determined based on its planar distribution range and its vertical distribution range. The thin sand body can be located at 1855-1865 meters in well AH013, 1910-1920 meters in well 8, 1900-1910 meters in well M30, and 1870-1880 meters in well M26.

[0077] The embodiment of the present application provides a thin sand body reservoir position determination method, which comprises the following steps: determining at least two super-short-term cycles and horizon data of the at least two super-short-term cycles of a to-be-explored area; wherein the to-be-explored area comprises a thin sand body and an ancient river channel; determining an ancient river channel plane distribution map of the to-be-explored area according to the horizon data of the super-short-term cycles and an ancient water flow direction; wherein the bottom end of the ancient river channel comprises the thin sand body; determining a thin sand body prediction plane distribution map of the to-be-explored area by using a seismic inversion technology according to the horizon data of the at least two super-short-term cycles; and superimposing the ancient river channel plane distribution map and the thin sand body prediction plane distribution map to determine the thin sand body reservoir position. By using the technical scheme of the embodiment of the present application, the cycle division is carried out on the basis of the geological model constraint of the to-be-explored area to determine the horizon data by means of the step-by-step constraint idea; the ancient river channel plane distribution map is determined on the basis of the cycle constraint by means of the ancient landform recovery; the thin sand body prediction plane distribution map is determined on the basis of the ancient landform constraint by means of the ancient river channel delineation and on the basis of the river channel constraint by means of the seismic inversion; and finally, the thin sand body reservoir position is obtained according to the ancient river channel plane distribution map and the thin sand body prediction plane distribution map. The multi-solution property of the seismic prediction is reduced, and the accuracy of the thin sand body reservoir position determination is improved.

[0078] Figure 11 Fig. 1 is a structural schematic diagram of a thin sand body reservoir position determination device provided in the embodiment of the present application, and the device comprises an information acquisition module 1110, an ancient river channel plane distribution map determination module 1120, a thin sand body prediction plane distribution map determination module 1130 and a thin sand body reservoir position determination module 1140; wherein,

[0079] The information acquisition module 1110 is used to determine at least two super-short-term cycles and horizon data of the at least two super-short-term cycles of a to-be-explored area; wherein the to-be-explored area comprises a thin sand body and an ancient river channel.

[0080] The ancient river channel plane distribution map determination module 1120 is used to determine an ancient river channel plane distribution map of the to-be-explored area according to the horizon data of the super-short-term cycles and an ancient water flow direction; wherein the bottom end of the ancient river channel comprises the thin sand body.

[0081] The thin sand body prediction plane distribution map determination module 1130 is used to determine a thin sand body prediction plane distribution map of the to-be-explored area by using a seismic inversion technology according to the horizon data of the at least two super-short-term cycles.

[0082] The thin sand body reservoir position determination module 1140 is used to superimpose the ancient river channel plane distribution map and the thin sand body prediction plane distribution map to determine the thin sand body reservoir position.

[0083] On the basis of the above-mentioned embodiment, the information acquisition module comprises the following modules:

[0084] establish a sand body geological model of the area to be explored; wherein the sand body geological model of the area to be explored comprises a paleochannel geological model and a sand body geological model;

[0085] According to the sand body geological model of the area to be explored, the area to be explored is divided into at least two ultra-short-term cycles.

[0086] On the basis of the above embodiment, optionally, the information acquisition module further comprises:

[0087] Obtain drilling data of the area to be explored, the drilling data comprising depths of each stratum of the area to be explored;

[0088] According to the drilling data and high-resolution sequence stratigraphic interpretation technology, determine the horizon data of the at least two ultra-short-term cycles; the horizon data comprising top depth data and bottom depth data of the ultra-short-term cycle.

[0089] On the basis of the above embodiment, optionally, the paleochannel plane distribution map determination module comprises:

[0090] According to the horizon data of the ultra-short-term cycle, restore the paleogeomorphology of the area to be explored, and determine a paleogeomorphology map of the area to be explored during the sedimentary period;

[0091] Determine the stratum dip angle according to the drilling data, and determine the paleocurrent direction according to the stratum dip angle;

[0092] According to the paleogeomorphology map of the area to be explored during the sedimentary period and the paleocurrent direction, determine the paleochannel plane distribution map of the area to be explored.

[0093] On the basis of the above embodiment, optionally, the thin sand body prediction plane distribution map determination module comprises:

[0094] According to the horizon data of the at least two ultra-short-term cycles, determine a first thin sand body prediction plane distribution map of the area to be explored by using colored inversion technology;

[0095] According to the horizon data of the at least two ultra-short-term cycles, determine a second thin sand body prediction plane distribution map of the area to be explored by using frequency division inversion technology;

[0096] According to the first thin sand body prediction plane distribution map and the second thin sand body prediction plane distribution map, determine a thin sand body prediction plane distribution map of the area to be explored.

[0097] On the basis of the above embodiment, optionally, the thin sand body reservoir location determination module comprises:

[0098] According to the paleochannel plane distribution map and the thin sand body prediction plane distribution map, determine the thin sand body plane distribution range.

[0099] determining a vertical distribution range of the thin sand body according to the thin sand body plane distribution range and the vertical distribution range.

[0100] determining the thin sand body reservoir position according to the thin sand body plane distribution range and the vertical distribution range.

[0101] The thin sand body reservoir position determining device provided in the embodiments of the present application can execute the thin sand body reservoir position determining method provided in any of the embodiments of the present application, and has the corresponding functions and advantages of executing the thin sand body reservoir position determining method. For details, refer to the related operations of the thin sand body reservoir position determining method in the foregoing embodiments.

[0102] Figure 12 is a structural schematic diagram of an electronic device provided in an embodiment of the present application. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (such as headsets, glasses, watches, etc.), and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0103] As shown in Figure 12 The electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is in communication with the at least one processor 11, wherein the memory stores a computer program that can be executed by the at least one processor. The processor 11 can execute 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 into 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.

[0104] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0105] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the thin sandstone reservoir location determination method.

[0106] In some embodiments, the thin sandstone reservoir location determination method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the thin sandstone reservoir location determination method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the thin sandstone reservoir location determination method by any other suitable means (e.g., by means of firmware).

[0107] Various embodiments 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-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0108] Computer programs used to implement 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, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0109] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0110] To provide interaction with a user, the systems and techniques described herein can 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 pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0111] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0112] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0113] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0114] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining the location of a thin sandstone reservoir, characterized in that, The method includes: Identify at least two ultra-short-term cycles in the area to be explored, as well as the stratigraphic data of the at least two ultra-short-term cycles; wherein the area to be explored includes thin sand bodies and paleochannels; Based on the stratigraphic data of the ultra-short-term cycles and the direction of paleocurrent, a planar distribution map of the paleochannel in the area to be explored is determined; wherein, the bottom of the paleochannel includes a thin sand body; Based on the stratigraphic data of the at least two ultra-short-term cycles, a predicted planar distribution map of thin sand bodies in the area to be explored is determined using seismic inversion technology; The location of the thin sand body reservoir is determined by overlaying the ancient river channel plan distribution map with the predicted plan distribution map of the thin sand body. The step of overlaying the paleochannel planar distribution map with the predicted planar distribution map of the thin sand body to determine the location of the thin sand body reservoir includes: Based on the paleochannel planar distribution map and the predicted planar distribution map of the thin sand body, the planar distribution range of the thin sand body is determined; based on the stratigraphic data of the at least two ultra-short-term cycles, the vertical distribution range of the thin sand body is determined; based on the planar distribution range and the vertical distribution range of the thin sand body, the location of the thin sand body reservoir is determined.

2. The method according to claim 1, characterized in that, The at least two ultra-short-term cycles used to determine the area to be explored include: Establish a geological model of the sand body in the area to be explored; wherein, the geological model of the sand body in the area to be explored includes a paleochannel geological model and a sand body geological model; Based on the geological model of the sand body in the area to be explored, the area to be explored is divided into ultra-short-term cycles, resulting in at least two ultra-short-term cycles.

3. The method according to claim 1, characterized in that, The determination of the stratigraphic data for the at least two ultra-short cycles includes: Obtain drilling data for the area to be explored, including the depth of each stratum in the area to be explored; Based on the drilling data and high-resolution sequence stratigraphy, the stratigraphic data of the at least two ultra-short-term cycles are determined; the stratigraphic data includes the top depth data and bottom depth data of the ultra-short-term cycles.

4. The method according to claim 1, characterized in that, The process of determining the paleochannel planar distribution map of the area to be explored based on the stratigraphic data of the ultra-short-term cycles and the paleocurrent direction includes: Based on the stratigraphic data of ultra-short-term cycles, paleogeomorphological reconstruction is carried out in the area to be explored to determine the paleogeomorphological map of the sedimentary period of the area to be explored. The dip angle of the formation is determined based on the drilling data, and the direction of the paleocurrent is determined based on the dip angle of the formation. Based on the paleogeographic map of the sedimentary period and the paleowater flow direction of the area to be explored, the paleochannel plan distribution map of the area to be explored is determined.

5. The method according to claim 1, characterized in that, The step of determining the predicted planar distribution map of thin sand bodies in the area to be explored using seismic inversion technology, based on the stratigraphic data of the at least two ultra-short-term cycles, includes: Based on the stratigraphic data of the at least two ultra-short-term cycles, a colored inversion technique is used to determine the predicted planar distribution map of the first thin sand body in the area to be explored. Based on the stratigraphic data of the at least two ultra-short-term cycles, the predicted planar distribution map of the second thin sand body in the area to be explored is determined using frequency division inversion technology; Based on the first and second thin sand body prediction plan distribution maps, the thin sand body prediction plan distribution map of the area to be explored is determined.

6. A device for determining the location of a thin sandstone reservoir, characterized in that, The device includes: The information acquisition module is used to determine at least two ultra-short-term cycles in the area to be explored and the stratigraphic data of the at least two ultra-short-term cycles; wherein, the area to be explored includes thin sand bodies and paleochannels; The paleochannel plan distribution map determination module is used to determine the paleochannel plan distribution map of the area to be explored based on the stratigraphic data of the ultra-short-term cycle and the paleocurrent direction; wherein, the bottom of the paleochannel includes a thin sand body; The thin sand body prediction plan distribution map determination module is used to determine the thin sand body prediction plan distribution map of the area to be explored by using seismic inversion technology based on the stratigraphic data of the at least two ultra-short-term cycles. The thin sandstone body reservoir location determination module is used to overlay the paleochannel planar distribution map with the thin sandstone body predicted planar distribution map to determine the location of the thin sandstone body reservoir; The thin sandstone reservoir location determination module is specifically used for: Based on the paleochannel planar distribution map and the predicted planar distribution map of the thin sand body, the planar distribution range of the thin sand body is determined; based on the stratigraphic data of the at least two ultra-short-term cycles, the vertical distribution range of the thin sand body is determined; based on the planar distribution range and the vertical distribution range of the thin sand body, the location of the thin sand body reservoir is determined.

7. The apparatus according to claim 6, characterized in that, The information acquisition module includes: Establish a geological model of the sand body in the area to be explored; wherein, the geological model of the sand body in the area to be explored includes a paleochannel geological model and a sand body geological model; Based on the geological model of the sand body in the area to be explored, the area to be explored is divided into ultra-short-term cycles, resulting in at least two ultra-short-term cycles.

8. An electronic device, characterized in that, include: One or more processors; Storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the location of thin sandstone reservoirs as described in any one of claims 1-5.

9. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the thin sandstone reservoir location determination method as described in any one of claims 1-5.

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