A method, apparatus, medium and device for identifying lithologic traps

Abstract

Embodiments of the present application disclose a method, device, medium and equipment for identifying lithologic traps. Among them, the method includes: determining a river channel area in a target area according to geological data and seismic data of the target area; determining an isochronous genetic small layer framework of the river channel area according to production data of the river channel area, and determining the connected well sedimentary microfacies of the river channel area; determining the river channel distribution and lithologic information of the river channel area according to the single-well sedimentary microfacies of the river channel area determined in advance based on the geological data, the planar seismic facies map of the river channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies; determining the sand body distribution data of the river channel area according to the river channel distribution and the lithologic information to obtain favorable traps. This technical solution can design an identification method from favorable sequences to favorable sand bodies and then to favorable traps according to the sedimentary characteristics of river channels, improving the accuracy and efficiency of favorable trap identification.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of geophysical technologies, and in particular, to a method, device, medium, and equipment for identifying lithologic traps. Background Art

[0002] With the continuous improvement of offshore oil and gas exploration, lithologic traps have become important exploration targets and research directions for increasing oil and gas reserves.

[0003] Currently, the commonly used identification of lithologic traps mainly relies on means such as seismic facies analysis, attribute slicing, and reservoir inversion, and adopts the sedimentary microfacies research method of "point" - "line" - "plane", that is, based on the single-well facies, the connected-well facies is obtained, and then the planar sedimentary microfacies is obtained, and finally the identification of favorable traps is realized.

[0004] However, for sand bodies with superimposed composite channels, due to the influence of many thin-layer sand bodies, complex amplitude responses, and many calcareous sand layers, it is difficult to identify the lateral boundaries of the sand bodies, difficult to distinguish them longitudinally, and the lithologic information cannot be intuitively reflected from the attributes. In addition, for the scenario of sparse well exploration, especially in the offshore exploration scenario, the existing technical solutions are difficult to effectively depict lithologic traps. Summary of the Invention

[0005] The embodiments of the present application provide a method, device, medium, and equipment for identifying lithologic traps, which can design an identification method from favorable sequences to favorable sand bodies and then to favorable traps according to the sedimentary characteristics of the channels. By using the sedimentary microfacies characterization method of "volume" - "plane" - "line" - "point", the distribution of the channels is determined, thereby improving the accuracy and efficiency of identifying favorable traps.

[0006] In a first aspect, the embodiments of the present application provide a method for identifying lithologic traps, the method comprising:

[0007] Determine a channel area in a target area according to geological data and seismic data of the target area;

[0008] Determine an isochronous genetic small-layer framework of the channel area according to production data of the channel area, and determine the connected-well sedimentary microfacies of the channel area;

[0009] Determine the channel distribution and lithologic information of the channel area according to the single-well sedimentary microfacies of the channel area determined in advance based on the geological data, the planar seismic facies map of the channel area determined in advance based on the seismic data, and the connected-well sedimentary microfacies;

[0010] Determine sand body distribution data of the channel area according to the channel distribution and the lithologic information to obtain favorable traps.

[0011] Second aspect, an embodiment of the present application provides an identification device for lithologic traps, the device comprising:

[0012] A river channel area determination module, configured to determine a river channel area in a target area according to geological data and seismic data of the target area;

[0013] A connected well sedimentary microfacies determination module, configured to determine an isochronous genetic small layer framework of the river channel area according to production data of the river channel area, and determine the connected well sedimentary microfacies of the river channel area;

[0014] A river channel information determination module, configured to determine the river channel distribution and lithologic information of the river channel area according to the single well sedimentary microfacies of the river channel area determined in advance based on the geological data, the planar seismic facies map of the river channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies;

[0015] A favorable trap determination module, configured to determine sand body distribution data of the river channel area according to the river channel distribution and the lithologic information, so as to obtain a favorable trap.

[0016] Third aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the method for identifying lithologic traps as described in the embodiments of the present application.

[0017] Fourth aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, it implements the method for identifying lithologic traps as described in the embodiments of the present application.

[0018] The technical solution provided by the embodiments of the present application determines the river channel area in the target area through the geological data and seismic data of the target area. Then, according to the production data of the river channel area, an isochronous genetic small layer framework of the river channel area is determined, and the connected well sedimentary microfacies of the river channel area is determined. More importantly, according to the single well sedimentary microfacies of the river channel area determined in advance based on the geological data, the planar seismic facies map of the river channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies, the river channel distribution and the lithologic information of the river channel area are determined. Finally, according to the river channel distribution and the lithologic information, sand body distribution data of the river channel area is determined to obtain a favorable trap. This solution can design an identification method from favorable sequences to favorable sand bodies and then to favorable traps according to the sedimentary characteristics of river channels. Through the sedimentary microfacies characterization method of "volume" - "plane" - "line" - "point", the river channel distribution is determined, thereby improving the accuracy and efficiency of favorable trap identification. Description of the Drawings

[0019] Figure 1It is a flowchart of the method for identifying lithologic traps provided in the first embodiment of the present application;

[0020] Figure 2A It is a flowchart of the method for identifying lithologic traps provided in the second embodiment of the present invention;

[0021] Figure 2B It is a schematic diagram of channel sedimentation provided in the second embodiment of the present invention;

[0022] Figure 2C It is a schematic diagram of channel development in the target area provided in the second embodiment of the present invention;

[0023] Figure 2D It is a planar seismic facies map of the channel area provided in the second embodiment of the present invention;

[0024] Figure 2E It is a sedimentary microfacies map of the channel area provided in the second embodiment of the present invention;

[0025] Figure 3 It is a schematic structural diagram of an apparatus for identifying lithologic traps provided in the third embodiment of the present invention;

[0026] Figure 4 It is a schematic structural diagram of an electronic device provided in the fifth embodiment of the present application. Detailed implementation manners

[0027] The present application will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, it should be noted that for the sake of description, only parts related to the present application rather than all structures are shown in the drawings.

[0028] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the steps as sequential processes, many of the steps can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the steps can be rearranged. The process can be terminated when its operations are completed, but it can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0029] Embodiment 1

[0030] Figure 1 It is a flowchart of the method for identifying lithologic traps provided in the first embodiment of the present application. This embodiment is applicable to the identification scenario of "channel type" lithologic traps. This method can be executed by the apparatus for identifying lithologic traps provided in the embodiments of the present application. The apparatus can be implemented in software and / or hardware and can be integrated into an electronic device.

[0031] As shown in Figure 1 the method for identifying the lithologic trap includes:

[0032] S101, determining the channel area in the target area according to the geological data and seismic data of the target area.

[0033] This solution can be executed by electronic devices such as computers. The electronic device can determine the area where the channel is located in the target area according to the geological data and seismic data of the target area. The geological data may include information such as logging, drilling, core, and rock minerals, and the seismic data may include information such as seismic attributes and three-dimensional seismic data. The electronic device can roughly judge which areas in the target area have channels according to the geological and / or seismic characteristics of the channels and utilize the geological data and seismic data.

[0034] In a feasible solution, optionally, the determining the channel area in the target area according to the geological data and seismic data of the target area includes:

[0035] Determining the favorable sequence in the target area according to the geological data;

[0036] Performing sedimentary subfacies analysis on the favorable sequence to determine the channel trend and the channel development orientation, so as to obtain the channel area in the target area.

[0037] The electronic device can first determine the favorable sequence in the target area according to the geological data. The favorable sequence may be the sequence with a high possibility of having a channel. The sequence may be a relatively integral, genetically related stratigraphic unit bounded by unconformity surfaces or corresponding conformable surfaces at the top and bottom. The electronic device can analyze the geological data according to the sequence stratigraphy theory to obtain the favorable sequence in the target area.

[0038] Specifically, the determining the favorable sequence in the target area according to the geological data includes:

[0039] Based on the standard sequence stratigraphy principle, establishing an isochronous stratigraphic framework for the target area according to the geological data;

[0040] Dividing the system tracts in the target area according to the isochronous stratigraphic framework and the sequence configuration in the target area;

[0041] Determining the favorable sequence in the target area according to the statistical results of hydrocarbon enrichment of the sequence configuration.

[0042] In a preferred embodiment, the electronic device can utilize geological data to establish an isochronous stratigraphic framework of the target area based on the principles of standard sequence stratigraphy. According to the constructed isochronous stratigraphic framework, the electronic device can divide the system tracts of the target area. The system tract can be an aggregate of a series of contemporaneous depositional systems, and the depositional system can be a three-dimensional spatial combination of facies with genetic connections. The system tract can include a lowstand systems tract (LST), a transgressive systems tract (TST), a highstand systems tract (HST), etc. At the same time, the electronic device can also determine the sequence architecture of the target area based on the thickness differences of different system tracts within the sequence in the isochronous stratigraphic framework. The sequence architecture can include styles such as retrogradational, progradational, and progradation-retrogradation. Among them, the progradational depositional sequence refers to the depositional sequence in which, when the supply rate of terrigenous materials is very fast, the sediments not only overlap along the depositional surface but also advance towards the ocean. It shows a regression in the horizontal direction of the sea water. Generally, it shows coarser at the top and finer at the bottom, with an inverse cyclic characteristic. The retrogradational depositional sequence is just the opposite. Usually, the supply rate of terrigenous materials is very slow, less than the sea-level rise rate, resulting in a depositional sequence in which the sediment layer overlaps towards the land. It shows a transgression. Generally, it has a normal cyclic characteristic, with coarser at the bottom and finer at the top. The electronic device can count the hydrocarbon enrichment conditions of each sequence architecture in the target area. Based on the statistical results of hydrocarbon enrichment of the sequence architecture, the electronic device can determine which sequence architectures are hydrocarbon-enriched and determine the hydrocarbon-enriched sequence architectures in the target area as favorable sequences.

[0043] This solution can establish an isochronous stratigraphic framework of the target area, analyze the sequence architecture, and establish the correlation between hydrocarbon-enriched horizons and sequence architecture, thereby determining the favorable sequences in the target area. This solution can narrow down the scope for determining favorable traps, accurately locate favorable sequences, and save exploration costs.

[0044] After locating the favorable sequences, the electronic device can utilize information such as elements, heavy and light minerals, sand content, and seismic attributes to conduct sedimentary subfacies analysis on the favorable sequences to further determine the channel trend and channel development orientation in the target area, so as to obtain the area where the channel is located. Specifically, the electronic device can conduct sediment provenance analysis on the favorable sequences, clarify the macroscopic sedimentary background of the target area, and establish the sedimentary facies model of the target area. Through the above analysis, the electronic device can determine the provenance direction of the target area. Based on the provenance direction, the channel trend and channel development orientation of the target area can be obtained, and thus the area where the channel is located can be determined.

[0045] This solution can determine the channel trend and the development orientation of the channel in the target area through sedimentary facies analysis, achieve accurate judgment of the channel area, help narrow down the determination range of favorable traps, and gradually achieve fine characterization of the channel boundary.

[0046] S102. Determine the isochronous genetic small-layer framework of the channel area based on the production data of the channel area, and determine the connected-well sedimentary microfacies of the channel area.

[0047] Among them, the production data may include information on the relationship between oil, gas and water, reservoir dynamic information, etc. Based on the production data of the channel area, the electronic device can further establish the isochronous genetic small-layer framework of the channel area, and on the basis of the isochronous genetic small-layer framework, determine the connected-well sedimentary microfacies of the channel area.

[0048] Specifically, the determining of the isochronous genetic small-layer framework of the channel area according to the production data of the channel area includes:

[0049] Determine the isochronous genetic small-layer framework of the channel area by using the isochronous genetic small-layer correlation method according to the production data of the channel area and the isochronous stratigraphic framework.

[0050] The electronic device can, on the basis of the isochronous stratigraphic framework, use the isochronous genetic small-layer correlation method to construct the isochronous genetic small-layer framework of the channel area. The general steps of the isochronous genetic small-layer correlation method may include: establishing a standard well correlation profile; flattening the layers with the standard layer interface of the entire channel area to conduct the division and correlation of large layers, and then conduct the division and correlation of small layers for the oil layers; conducting well-to-well correlation on the correlation profile, closing multiple wells; scatter wells outside the correlation profile; conducting comprehensive correlation, connecting the correlation lines, and reflecting the connectivity of single sand bodies.

[0051] After obtaining the isochronous genetic small-layer framework of the channel area, the electronic device can obtain the connected-well sedimentary microfacies of the channel area according to information such as connected-well seismic and connected-well sedimentation.

[0052] This solution can use production data to construct an isochronous genetic small-layer framework and characterize the connected-well sedimentary microfacies, which is conducive to providing a research framework for the fine characterization of the channel distribution.

[0053] S103. Determine the channel distribution and the lithology information of the channel area according to the single-well sedimentary microfacies of the channel area determined in advance based on the geological data, the planar seismic facies map of the channel area determined in advance based on the seismic data, and the connected-well sedimentary microfacies.

[0054] While determining the connected-well sedimentary microfacies, the electronic device can determine the planar seismic facies and single-well sedimentary microfacies in the channel area to achieve the characterization of the sedimentary microfacies in the channel area. In a preferred solution, a sedimentary microfacies characterization method of "volume" - "plane" - "line" - "point" is mainly adopted. First, the overall characteristics of the channel area, that is, the "volume", are obtained. Then, the planar characteristics, that is, the "plane", are obtained from the overall characteristics. Then, the local fine sedimentary understanding of the connected-well sedimentary microfacies, that is, the "line", and the single-well sedimentary microfacies, that is, the "point", are calibrated on the planar seismic facies to form a reliable sedimentary microfacies map of the channel area.

[0055] S104. According to the channel distribution and the lithology information, determine the sand body distribution data in the channel area to obtain favorable traps.

[0056] According to the channel distribution and the lithology information, the electronic device can distinguish which parts in the channel area are sandstone, that is, obtain the sand body distribution data in the channel area. According to the sand body distribution situation in the channel area described by the sand body distribution data, the electronic device can achieve the identification of favorable traps.

[0057] Specifically, the step of determining the sand body distribution data in the channel area according to the channel distribution and the lithology information to obtain favorable traps includes:

[0058] According to the channel distribution and the lithology information, use geophysical inversion methods to determine the planar distribution and thickness of the sand bodies in the channel area;

[0059] According to the planar distribution of the sand bodies and the thickness of the sand bodies, determine the sand body boundary to obtain favorable traps.

[0060] In this solution, according to the channel distribution and the lithology information, the electronic device can obtain the planar distribution and thickness of the sand bodies in the channel area through geophysical inversion methods. The geophysical inversion methods can be conventional sparse pulse inversion, Gaussian inversion, or phased geostatistical inversion and other methods. According to the planar distribution of the sand bodies and the thickness of the sand bodies, the electronic device can determine the sand body boundary, that is, within the planar distribution range of the sand bodies, when the sand body thickness is 0, it is the sand body boundary. Based on the sand body boundary, through structural matching contour lines, fault lines, and stratigraphic overlap lines, etc., the favorable judgment of lithologic traps can be achieved.

[0061] The above solution can accurately locate the sand body boundary and then achieve the identification of favorable traps.

[0062] The technical solution provided by the embodiments of the present application determines the river channel area in the target area through the geological data and seismic data of the target area. Then, according to the production data of the river channel area, an isochronous genetic small-layer framework of the river channel area is determined, and the connected-well sedimentary microfacies of the river channel area are determined. More importantly, according to the single-well sedimentary microfacies of the river channel area determined in advance based on the geological data, the planar seismic facies map of the river channel area determined in advance based on the seismic data, and the connected-well sedimentary microfacies, the river channel distribution and the lithology information of the river channel area are determined. Finally, according to the river channel distribution and the lithology information, the sand body distribution data of the river channel area are determined to obtain favorable traps. This solution can design an identification method from favorable sequences to favorable sand bodies and then to favorable traps according to the sedimentary characteristics of river channels. Through the sedimentary microfacies characterization method of "body" - "plane" - "line" - "point", the river channel distribution is determined, so as to improve the accuracy and efficiency of favorable trap identification.

[0063] Embodiment 2

[0064] Figure 2A It is a flowchart of the method for identifying lithologic traps provided by Embodiment 2 of the present invention. This embodiment is refined based on the above embodiment.

[0065] As Figure 2A shown, the method of this embodiment specifically includes the following steps:

[0066] S201, based on the geological data and the principle of standard sequence stratigraphy, establish an isochronous stratigraphic framework of the target area.

[0067] S202, according to the isochronous stratigraphic framework, divide the system tracts of the target area and determine the sequence architecture of the target area.

[0068] S203, according to the statistical results of hydrocarbon enrichment of the sequence architecture, determine the favorable sequences of the target area.

[0069] S204, conduct a sedimentary subfacies analysis on the favorable sequences to determine the river channel trend and the river channel development orientation, so as to obtain the river channel area in the target area.

[0070] S205, according to the production data of the river channel area, determine the isochronous genetic small-layer framework of the river channel area, and determine the connected-well sedimentary microfacies of the river channel area.

[0071] S206, according to the single-well sedimentary microfacies of the river channel area determined in advance based on the geological data, the planar seismic facies map of the river channel area determined in advance based on the seismic data, and the connected-well sedimentary microfacies, determine the river channel distribution and the lithology information of the river channel area.

[0072] Specifically, the planar seismic facies map of the river channel area determined based on the seismic data includes:

[0073] Based on the seismic data, perform axis-by-axis interpretation of the seismic axes of the favorable sequences to generate seismic interpretation results and a stratigraphic interpretation model;

[0074] Based on the seismic interpretation results and the stratigraphic interpretation model, use the slicing method to identify the planar shape of the sediment body and generate a planar seismic facies map of the channel area.

[0075] This solution starts from seismic data. For example, three-dimensional seismic data in the seismic data can be used to carry out global automatic interpretation of the channel area, perform axis-by-axis interpretation of the seismic axes of the favorable sequences, and generate seismic interpretation results and a stratigraphic interpretation model. Under the constraints of the seismic interpretation results and the stratigraphic interpretation model, the slicing methods such as frequency division fusion are used to identify the planar shapes of different sediment bodies, and a planar seismic facies map of the channel area can be generated.

[0076] Figure 2B It is a schematic diagram of channel deposition provided in the second embodiment of the present invention. To obtain a reasonable frequency division fusion attribute slice, the selection of the frequency division frequency is the key. The conventional method is to select the frequency combination when the energy is the strongest through time-frequency analysis. These frequency combinations are relatively wide and often cover the entire energy cluster. For the channel sand body scenario targeted by this solution, the selected seismic frequency bandwidth corresponding to the channel sand body should be relatively narrow, and the selection of the high, medium, and low frequency bands should be as close as possible. The specific reason is that, as Figure 2B shown, channel deposition belongs to a linear sediment body with an obvious curved shape in the plane, and it has a long longitudinal extension and a relatively narrow lateral width. The corresponding channel sand deposited has the characteristics of large thickness and rapid lateral pinch-out. This geological feature determines that the seismic reflection of the channel has characteristics different from those of other gradually changing and planar distributed sand bodies. According to the seismic tuning theory, the thickness of sandstone that can be identified by seismic is generally proportional to the frequency as a whole. The higher the seismic frequency, the thinner the thickness of sandstone that can be identified.

[0077] Optionally, the determination of the channel distribution and the lithology information of the channel area includes:

[0078] Generate a sedimentary microfacies map of the channel area based on the planar seismic facies map, the single-well sedimentary microfacies, and the cross-well sedimentary microfacies;

[0079] Determine the channel distribution and the lithology information of the channel area based on the sedimentary microfacies map.

[0080] Based on the planar seismic image obtained in the above solution, the electronic device can obtain the single-well sedimentary microfacies of the channel area according to information such as single-well lithology, logging cycle, and cored sedimentary microfacies. Combining with the cross-well sedimentary microfacies obtained according to S205, the electronic device can calibrate these local fine sedimentary understandings onto the planar seismic facies map, and then generate a sedimentary microfacies map of the channel area.

[0081] In the sedimentary microfacies map, the electronic device can determine the distribution of river channels and the lithological information of the river channel area, that is, obtain a more refined distribution of the river channel area and river channel lithological information.

[0082] This solution can change the traditional sedimentary microfacies research method of "point" - "line" - "plane" and turn to the sedimentary microfacies mapping method of "volume" - "plane" - "line" - "point", improving the accuracy and efficiency of sedimentary microfacies analysis. In addition, for the characteristics of rich marine seismic data and high signal-to-noise ratio, this solution can make full use of the obvious meandering phenomenon of river channels and the characteristics that are easy to identify on the seismic attribute plan view.

[0083] S207. According to the distribution of the river channels and the lithological information, use the geophysical inversion method to determine the planar distribution and thickness of sand bodies in the river channel area.

[0084] S208. According to the planar distribution of the sand bodies and the thickness of the sand bodies, determine the sand body boundary to obtain favorable traps.

[0085] This embodiment takes the identification of channel-type lithologic traps as the application scenario and takes the reservoir-forming section in a certain area as the target area as a specific example to illustrate. The specific steps are as follows:

[0086] Step 1: For the target area, divide the system tract based on the standard sequence stratigraphy theory, analyze the stratigraphic stacking pattern of the sequence, divide the target area into 19 fourth-order sequences, further subdivide the system tract within each fourth-order sequence, and divide into different sequence configurations according to the thickness difference of different system tracts within the sequence. Divide the sequence configuration of the target area into three types: retrogradational, progradational, and progradation-retrogradation. Statistically analyze the relationship between different hydrocarbon enrichments and sequence configurations, and identify the sequence configurations with hydrocarbon enrichment. As a result, a total of 3 favorable sequences are identified in the target area, all of which are retrogradational sequence configurations.

[0087] Step 2: Through characteristics such as the content of heavy and light minerals and sand content, carry out regional sediment provenance analysis, clarify the macroscopic sedimentary background, and establish a regional sedimentary facies model. Figure 2C It is a schematic diagram of river channel development in the target area provided by the second embodiment of the present invention. As Figure 2C shown, the river channels are mainly developed in the northern part of the target area. Among them, the restored target area is mainly located in the delta front, which is an area where underwater distributary channels and mouth bars are developed, and has a regional background for river channel development.

[0088] Step 3: Under the joint constraint of seismic geomorphology and seismic lithology, use four slicing methods, namely RMS amplitude, minimum amplitude, wavelet transform frequency division + RGB fusion, and Fourier frequency division + RGB fusion, for comprehensive analysis, interpret sedimentary information, identify various sedimentary microfacies, and obtain the planar seismic facies map of the river channel area. Figure 2DThis is the planar seismic facies map of the river channel area provided in the second embodiment of the present invention. As Figure 2D shown, large braided river channel systems are mainly developed in the river channel area.

[0089] For the obtained planar seismic facies map, the electronic device needs to cross-verify it by combining well logging information and lithology information. For example, using information such as rock minerals and lithofacies, to further clarify each sedimentary microfacies and lithology, and finally obtain the sedimentary microfacies map of the river channel area. Figure 2E This is the sedimentary microfacies map of the river channel area provided in the second embodiment of the present invention. As Figure 2E shown, distributary channels of the delta plain are mainly developed in the river channel area, and the lithology is mainly medium-fine sandstone.

[0090] Step 4: Use the sand body information of the drilled wells to calibrate the seismic data, carry out geophysical inversion analysis, depict the planar distribution and thickness description of the sand body, and clarify the sand body boundary. Then, according to the matching of structural contour lines, fault lines, and stratigraphic overlap lines with the sand body boundary line, determine the effectiveness of lithologic traps.

[0091] The technical solution provided by the embodiments of the present application determines the river channel area in the target area through the geological data and seismic data of the target area. Then, according to the production data of the river channel area, determine the isochronous genetic small layer framework of the river channel area, and determine the connected well sedimentary microfacies of the river channel area. More importantly, according to the single-well sedimentary microfacies of the river channel area determined in advance based on the geological data, the planar seismic facies map of the river channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies, determine the river channel distribution and the lithology information of the river channel area. Finally, according to the river channel distribution and the lithology information, determine the sand body distribution data of the river channel area to obtain favorable traps. This solution can design an identification method from favorable sequences to favorable sand bodies and then to favorable traps according to the sedimentary characteristics of river channels. Through the sedimentary microfacies characterization method of "body" - "plane" - "line" - "point", determine the river channel distribution, thereby improving the accuracy and efficiency of favorable trap identification.

[0092] Embodiment 3

[0093] Figure 3 This is a schematic structural diagram of an apparatus for identifying lithologic traps provided in the third embodiment of the present invention. This apparatus can execute the method for identifying lithologic traps provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0094] As Figure 3 shown, the apparatus may include:

[0095] A river channel area determination module 301, configured to determine a river channel area in a target area according to geological data and seismic data of the target area;

[0096] The connected well sedimentary microfacies determination module 302 is used to determine the isochronous genetic small layer framework of the channel area and the connected well sedimentary microfacies of the channel area according to the production data of the channel area;

[0097] The channel information determination module 303 is used to determine the channel distribution and the lithology information of the channel area according to the single well sedimentary microfacies of the channel area determined in advance based on the geological data, the plane seismic facies map of the channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies;

[0098] The favorable trap determination module 304 is used to determine the sand body distribution data of the channel area according to the channel distribution and the lithology information to obtain favorable traps.

[0099] In this solution, optionally, the channel area determination module 301 is specifically used for:

[0100] Determine the favorable sequence of the target area according to the geological data;

[0101] Conduct sedimentary subfacies analysis on the favorable sequence to determine the channel trend and the channel development orientation, so as to obtain the channel area in the target area.

[0102] On the basis of the above solution, optionally, the channel area determination module 301 is specifically used for:

[0103] Establish an isochronous stratigraphic framework of the target area according to the geological data based on the principle of standard sequence stratigraphy;

[0104] Divide the system tract of the target area according to the isochronous stratigraphic framework and determine the sequence configuration of the target area;

[0105] Determine the favorable sequence of the target area according to the statistical results of hydrocarbon enrichment of the sequence configuration.

[0106] In a feasible solution, optionally, the channel information determination module 303 is further used for:

[0107] Interpret the seismic axes of the favorable sequence one by one according to the seismic data to generate a seismic interpretation result and a stratigraphic interpretation model;

[0108] According to the seismic interpretation result and the stratigraphic interpretation model, use the slicing method to identify the planar shape of the sediment body and generate a plane seismic facies map of the channel area.

[0109] In this solution, optionally, the channel information determination module 303 is specifically used for:

[0110] Generate a sedimentary microfacies map of the channel area according to the plane seismic facies map, the single well sedimentary microfacies and the connected well sedimentary microfacies;

[0111] Based on the sedimentary microfacies map, determine the channel distribution and the lithology information of the channel area.

[0112] On the basis of the above solution, optionally, the connected well sedimentary microfacies determination module 302 is specifically configured to:

[0113] Based on the production data of the channel area and the isochronous stratigraphic framework, use the isochronous genetic small layer correlation method to determine the isochronous genetic small layer framework of the channel area.

[0114] In a preferred solution, optionally, the favorable trap determination module 304 is specifically configured to:

[0115] Based on the channel distribution and the lithology information, use the geophysical inversion method to determine the planar distribution and thickness of the sand bodies in the channel area;

[0116] Based on the planar distribution and thickness of the sand bodies, determine the sand body boundary to obtain a favorable trap.

[0117] The above product can execute the lithologic trap identification method provided by the embodiments of the present application, and has the corresponding functional modules and beneficial effects for executing the method.

[0118] Embodiment IV

[0119] Embodiment IV of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the lithologic trap identification method provided by all the inventive embodiments of the present application:

[0120] Based on the geological data and seismic data of the target area, determine the channel area in the target area;

[0121] Based on the production data of the channel area, determine the isochronous genetic small layer framework of the channel area and determine the connected well sedimentary microfacies of the channel area;

[0122] Based on the single-well sedimentary microfacies of the channel area determined in advance based on the geological data, the planar seismic facies map of the channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies, determine the channel distribution and the lithology information of the channel area;

[0123] Based on the channel distribution and the lithology information, determine the sand body distribution data of the channel area to obtain a favorable trap.

[0124] Any combination of one or more computer-readable media may be employed. The computer-readable media may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program which can be used by or in connection with an instruction execution system, apparatus, or device.

[0125] A computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which computer-readable program code is carried. Such a propagated data signal may take many forms, including - but not limited to - an electromagnetic signal, an optical signal, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0126] The program code contained on a computer-readable medium may be transmitted using any appropriate medium, including - but not limited to - wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0127] The computer program code for performing the operations of the present invention may be written in one or more programming languages or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0128] Example Five

[0129] Embodiment 5 of the present application provides an electronic device. Figure 4 It is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present application. As Figure 4 shown, this embodiment provides an electronic device 400, which includes: one or more processors 402; a storage device 401 for storing one or more programs, and when the one or more programs are executed by the one or more processors 402, the one or more processors 402 implement the method for identifying lithologic traps provided in the embodiments of the present application. The method includes:

[0130] Determine the channel area in the target area according to the geological data and seismic data of the target area;

[0131] Determine the isochronous genetic small layer framework of the channel area according to the production data of the channel area, and determine the connected well sedimentary microfacies of the channel area;

[0132] Determine the channel distribution and lithologic information of the channel area according to the single-well sedimentary microfacies of the channel area determined in advance based on the geological data, the plane seismic facies map of the channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies;

[0133] Determine the sand body distribution data of the channel area according to the channel distribution and the lithologic information to obtain favorable traps.

[0134] Of course, those skilled in the art can understand that the processor 402 also implements the technical solutions of the method for identifying lithologic traps provided in any embodiment of the present application.

[0135] Figure 4 The displayed electronic device 400 is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present application.

[0136] As Figure 4 shown, the electronic device 400 includes a processor 402, a storage device 401, an input device 403, and an output device 404; the number of processors 402 in the electronic device can be one or more, Figure 4 taking one processor 402 as an example; the processor 402, the storage device 401, the input device 403, and the output device 404 in the electronic device can be connected by a bus or other means, Figure 4 taking the connection by the bus 405 as an example.

[0137] The storage device 401, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and module units, such as the program instructions corresponding to the method for identifying lithologic traps in the embodiments of the present application.

[0138] The storage device 401 may mainly include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the terminal, etc. In addition, the storage device 401 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some instances, the storage device 401 may further include a memory remotely set relative to the processor 402, and these remote memories may be connected through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0139] The input device 403 can be used to receive input digital, character information or voice information, and generate key signal inputs related to the user settings and function controls of the electronic device. The output device 404 may include electronic devices such as a display screen and a speaker.

[0140] The electronic device provided by the embodiment of the present application designs an identification method from a favorable sequence to a favorable sand body and then to a favorable trap according to the characteristics of river channel deposition. Through the deposition microfacies characterization method of "volume" - "plane" - "line" - "point", the distribution of the river channel is determined, so as to improve the accuracy and efficiency of favorable trap identification.

[0141] The lithologic trap identification device, medium and equipment provided in the above embodiments can execute the lithologic trap identification method provided in any embodiment of the present application, and have corresponding functional modules and beneficial effects for executing the method. For technical details not described in detail in the above embodiments, reference can be made to the lithologic trap identification method provided in any embodiment of the present application.

[0142] Note that the above is only the preferred embodiment of the present invention and the applied technical principle. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described here, and various obvious changes, re-adjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments only. Without departing from the concept of the present invention, more other equivalent embodiments can be included, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for identifying lithologic traps, characterized in that, the method comprises: Based on geological data and the principle of standard sequence stratigraphy, establish an isochronous stratigraphic framework for the target area; According to the isochronous stratigraphic framework, divide the system tracts of the target area, and determine the sequence configuration of the target area according to the thickness differences of different system tracts within the sequence in the isochronous stratigraphic framework; Determine the favorable sequences in the target area according to the statistical results of hydrocarbon enrichment in the sequence configuration; the favorable sequences are the sequences with channels; Conduct sedimentary subfacies analysis on the favorable sequences based on seismic data to determine the channel trend and the channel development orientation, so as to obtain the channel area in the target area; Determine the isochronous genetic small layer framework of the channel area according to the production data of the channel area, and determine the connected well sedimentary microfacies of the channel area; Determine the channel distribution and the lithologic information of the channel area according to the single well sedimentary microfacies of the channel area determined in advance based on the geological data, the planar seismic facies map of the channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies; Determine the sand body distribution data of the channel area according to the channel distribution and the lithologic information, so as to obtain favorable traps.

2. The method according to claim 1, characterized in that, the planar seismic facies map of the channel area determined based on the seismic data includes: According to the seismic data, interpret the seismic axes of the favorable sequences axis by axis to generate a seismic interpretation result and a stratigraphic interpretation model; According to the seismic interpretation result and the stratigraphic interpretation model, use the slicing method to identify the planar morphology of the sediment body and generate the planar seismic facies map of the channel area.

3. The method according to claim 1, characterized in that, the determination of the channel distribution and the lithologic information of the channel area includes: Generate a sedimentary microfacies map of the channel area according to the planar seismic facies map, the single well sedimentary microfacies and the connected well sedimentary microfacies; Determine the channel distribution and the lithologic information of the channel area according to the sedimentary microfacies map.

4. The method according to claim 1, characterized in that, the determination of the isochronous genetic small layer framework of the channel area according to the production data of the channel area includes: Determine the isochronous genetic small layer framework of the channel area according to the production data of the channel area and the isochronous stratigraphic framework by using the isochronous genetic small layer correlation method.

5. The method according to claim 1, characterized in that, the determination of the sand body distribution data of the channel area according to the channel distribution and the lithologic information to obtain favorable traps includes: Determine the planar distribution and the thickness of the sand body in the channel area according to the channel distribution and the lithologic information by using the geophysical inversion method; Determine the sand body boundary according to the planar distribution of the sand body and the sand body thickness to obtain favorable traps.

6. An apparatus for identifying lithologic traps, characterized in that, the apparatus includes: A river channel area determination module, configured to establish an isochronous stratigraphic framework of a target area based on geological data and the principle of standard sequence stratigraphy; divide the system tracts of the target area according to the isochronous stratigraphic framework, and determine the sequence configuration of the target area according to the thickness differences of different system tracts within the sequence in the isochronous stratigraphic framework; determine the favorable sequences of the target area according to the hydrocarbon enrichment statistical results of the sequence configuration; the favorable sequences are the sequences with river channels; perform sedimentary subfacies analysis on the favorable sequences based on seismic data to determine the river channel trend and the river channel development orientation, so as to obtain the river channel area in the target area; A connected well sedimentary microfacies determination module, configured to determine the isochronous genetic small layer framework of the river channel area and determine the connected well sedimentary microfacies of the river channel area according to the production data of the river channel area; A river channel information determination module, configured to determine the river channel distribution and the lithological information of the river channel area according to the single well sedimentary microfacies of the river channel area determined in advance based on the geological data, the planar seismic facies map of the river channel area determined in advance based on the seismic data, and the connected well sedimentary microfacies; A favorable trap determination module, configured to determine the sand body distribution data of the river channel area according to the river channel distribution and the lithological information, so as to obtain favorable traps.

7. A computer-readable storage medium, on which a computer program is stored, characterized in that, when the program is executed by a processor, it implements the lithologic trap identification method according to any one of claims 1-5.

8. An electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements the lithologic trap identification method according to any one of claims 1-5.

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