Integrated prediction method and apparatus for conventional and unconventional oil and gas reservoirs

Abstract

This invention provides an integrated prediction method and apparatus for conventional and unconventional oil and gas reservoirs. The integrated prediction method includes: determining the wind field cycle signal of shallow-water coarse- to medium-grained reservoirs based on the characterization parameters of sandy beach bars; determining the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale; and predicting conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of the shallow-water coarse- to medium-grained reservoirs and the deep-water fine-grained reservoirs. This invention achieves vertically precise stratification of conventional and unconventional oil and gas reservoirs across the entire basin based on the wind field variation patterns within the stratigraphic framework.

Description

Technical Field

[0001] This invention relates to the field of oil and gas exploration technology, specifically to an integrated prediction method and apparatus for conventional and unconventional oil and gas reservoirs. Background Technology

[0002] With the gradual maturation of shale oil and gas exploration technologies, the simultaneous development of conventional and unconventional oil and gas exploration has become possible. In a sedimentary basin, conventional and unconventional oil and gas reservoirs are interlocked in planar and vertically superimposed. As exploration deepens, lithology and lithofacies change rapidly, making the problem of vertical superposition and planar intersection of conventional and unconventional oil and gas reservoirs more prominent. In existing technologies, conventional and unconventional oil and gas reservoirs are studied separately, and their predictions are conducted independently, with few methods placing them within a unified spatiotemporal domain. This restricts the need for integrated evaluation and exploration / development of conventional and unconventional oil and gas reservoirs. Therefore, there is an urgent need to develop an integrated prediction method for conventional and unconventional oil and gas reservoirs. Summary of the Invention

[0003] To address the problems in existing technologies, those skilled in the art generally employ sequence stratigraphy to delineate reservoirs using isochronous frameworks and vertical stratification. However, sequence stratigraphy is primarily applicable to shallow-water conventional oil and gas reservoirs, and its accuracy is severely limited in deep-water unconventional oil and gas reservoirs, making it impossible to achieve integrated vertical stratification and prediction of both shallow and deep-water conventional and unconventional oil and gas reservoirs.

[0004] To address at least one of the aforementioned problems or other similar issues, according to a first aspect of the embodiments of this application, an integrated prediction method for conventional and unconventional oil and gas reservoirs is provided, comprising:

[0005] Determine the wind field cycle signal of shallow water coarse and medium grained reservoirs based on the characterization parameters of sandy beach-dams;

[0006] The wind field cycle signal of deep-water fine-grained reservoirs was determined based on the sedimentary structural parameters and mineral content of deep-water cement shale.

[0007] Based on the wind field cycle signals of shallow-water coarse-medium grained reservoirs and deep-water fine-grained reservoirs, conventional and unconventional oil and gas reservoirs can be predicted.

[0008] According to a second aspect of the embodiments of this application, the characterization parameters of the sandy beach bar include: wave breaking index, wave breaking sandbar thickness, and basin diameter;

[0009] The sedimentary structural parameters include layered characterization parameters and lamellar characterization parameters;

[0010] The mineral content includes: felsic mineral content, clay mineral content, and carbonate mineral content.

[0011] According to a third aspect of the embodiments of this application, the prediction of conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of the shallow-water coarse-medium-grained reservoirs and the deep-water fine-grained reservoirs includes:

[0012] A deep-shallow integrated isochronous stratigraphic framework is established based on the wind field cycle signals of the shallow-water coarse-medium grained reservoir and the deep-water fine-grained reservoir.

[0013] Based on the aforementioned deep-shallow water integrated isochronous stratigraphic framework, conventional and unconventional oil and gas reservoirs can be predicted.

[0014] According to a fourth aspect of the embodiments of this application, the prediction of conventional and unconventional oil and gas reservoirs based on the integrated deep-shallow water isochronous stratigraphic framework includes:

[0015] Based on the aforementioned integrated deep-shallow water isochronous stratigraphic framework, stratigraphic correlation results under long-period wind cycles, stratigraphic correlation results under medium-period wind cycles, and stratigraphic correlation results under short-period wind cycles were established respectively.

[0016] Based on the stratigraphic correlation results under long-period wind cycles, medium-period wind cycles, and short-period wind cycles, conventional and unconventional oil and gas reservoirs can be predicted.

[0017] According to a fifth aspect of the embodiments of this application, the prediction of conventional and unconventional oil and gas reservoirs based on stratigraphic correlation results under long-period wind cycles, medium-period wind cycles, and short-period wind cycles includes:

[0018] Predict the size and type of conventional oil and gas reservoirs and the size and type of unconventional oil and gas reservoirs based on stratigraphic correlation results under long-period wind cycles.

[0019] Predict the depth of conventional and unconventional oil and gas reservoirs based on stratigraphic correlation results under medium-cycle wind cycles.

[0020] Predict the internal structure of conventional and unconventional oil and gas reservoirs based on stratigraphic correlation results under short-period wind cycles.

[0021] According to a sixth aspect of the embodiments of this application, an integrated prediction device for conventional and unconventional oil and gas reservoirs is provided, applying any one of the first to fifth aspects described above, comprising:

[0022] The first signal determination module is used to determine the wind field cycle signal of shallow water coarse and medium grained reservoirs based on the characterization parameters of sandy beach dams.

[0023] The second signal determination module is used to determine the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale.

[0024] The reservoir prediction module is used to predict conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of the shallow-water coarse-medium grain reservoirs and the deep-water fine-grained reservoirs.

[0025] According to a seventh aspect of the embodiments of this application, the characterization parameters of the sandy beach bar include: wave breaking index, wave-breaking sandbar thickness, and basin diameter;

[0026] The sedimentary structural parameters include layered characterization parameters and lamellar characterization parameters;

[0027] The mineral content includes: felsic mineral content, clay mineral content, and carbonate mineral content.

[0028] According to an eighth aspect of the embodiments of this application, the reservoir prediction module includes:

[0029] The stratigraphic framework establishment unit is used to establish a deep-shallow integrated isochronous stratigraphic framework based on the wind field cycle signal of the shallow water coarse-medium grained reservoir and the wind field cycle signal of the deep water fine-grained reservoir.

[0030] The reservoir prediction unit is used to predict conventional and unconventional oil and gas reservoirs based on the integrated deep-shallow water isochronous stratigraphic framework.

[0031] According to a ninth aspect of the embodiments of this application, the reservoir prediction unit includes:

[0032] The stratigraphic correlation result establishment unit is used to establish stratigraphic correlation results under long-period wind cycles, stratigraphic correlation results under medium-period wind cycles, and stratigraphic correlation results under short-period wind cycles based on the integrated deep-shallow water isochronous stratigraphic framework.

[0033] The reservoir prediction subunit is used to predict conventional and unconventional oil and gas reservoirs based on stratigraphic correlation results under long-period wind cycles, medium-period wind cycles, and short-period wind cycles.

[0034] According to a tenth aspect of the embodiments of this application, the reservoir prediction subunit includes:

[0035] The reservoir size prediction unit is used to predict the size and type of conventional oil and gas reservoirs and the size and type of unconventional oil and gas reservoirs based on the stratigraphic correlation results under long-period wind cycles.

[0036] The reservoir depth prediction unit is used to predict the depth of conventional oil and gas reservoirs and the depth of unconventional oil and gas reservoirs based on the stratigraphic correlation results under medium-period wind cycles.

[0037] The reservoir internal structure prediction unit is used to predict the internal structure of conventional oil and gas reservoirs and unconventional oil and gas reservoirs based on the stratigraphic correlation results under short-period wind cycles.

[0038] In one aspect, the present invention provides a computer program product, including a computer program / instruction that, when executed by a processor, implements the steps of an integrated prediction method for conventional and unconventional oil and gas reservoirs.

[0039] In a twelfth aspect, the present invention provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement steps of an integrated prediction method for conventional and unconventional oil and gas reservoirs.

[0040] In a thirteenth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of an integrated prediction method for conventional and unconventional oil and gas reservoirs.

[0041] As described above, the integrated prediction method and apparatus for conventional and unconventional oil and gas reservoirs provided in this embodiment of the invention first determines the wind field cycle signal of shallow-water coarse- to medium-grained reservoirs based on the characterization parameters of sandy beach bars; then, it determines the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale; finally, it predicts conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of shallow-water coarse- to medium-grained reservoirs and deep-water fine-grained reservoirs.

[0042] This application utilizes the principle that variations in the amount of solar radiation incident on the Earth's surface lead to atmospheric pressure differences, which in turn create wind fields. It pioneers a novel method for vertically precise stratigraphy and exploration of conventional and unconventional oil and gas reservoirs based on wind field cycles. This method establishes a high-precision stratigraphic framework integrating deep and shallow water conditions using wind field cycles. Based on the wind field variation patterns within this framework, it achieves vertically precise stratigraphy of both conventional and unconventional oil and gas reservoirs across the entire basin. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1This is a flowchart illustrating the integrated prediction method for conventional and unconventional oil and gas reservoirs in an embodiment of the present invention.

[0045] Figure 2 This is a flowchart illustrating step 300 in an embodiment of the present invention;

[0046] Figure 3 This is a flowchart illustrating step 302 in an embodiment of the present invention;

[0047] Figure 4 This is a schematic diagram showing the comparison results between deep cement shale oil and gas reservoirs and shallow water sandstone and conglomerate oil and gas reservoirs in an embodiment of the present invention;

[0048] Figure 5 This is a flowchart illustrating step 3022 in an embodiment of the present invention;

[0049] Figure 6 This is a flowchart illustrating the integrated prediction method for conventional and unconventional oil and gas reservoirs in a specific application example of the present invention.

[0050] Figure 7 This is a schematic diagram showing the comparison results of the integration of conventional and unconventional oil and gas reservoirs under wind field cyclic control in a specific application example of the present invention.

[0051] Figure 8 This diagram illustrates an integrated sedimentation model of conventional and unconventional reservoirs controlled by wind field in shallow and deep water, representing a specific application example of the present invention.

[0052] Figure 9 This is a schematic diagram of the integrated prediction device for conventional and unconventional oil and gas reservoirs in an embodiment of the present invention.

[0053] Figure 10 This is a schematic diagram of the composition structure of the reservoir prediction module 30 in the integrated prediction device for conventional and unconventional oil and gas reservoirs in an embodiment of the present invention.

[0054] Figure 11 This is a schematic diagram of the composition of the reservoir prediction unit 302 in the integrated prediction device for conventional and unconventional oil and gas reservoirs in an embodiment of the present invention.

[0055] Figure 12 This is a schematic diagram of the composition structure of the reservoir prediction subunit 3022 in the integrated prediction device for conventional and unconventional oil and gas reservoirs in an embodiment of the present invention.

[0056] Figure 13 This is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification, claims and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product or device.

[0060] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0061] The embodiments of the present invention provide a specific implementation of an integrated prediction method for conventional and unconventional oil and gas reservoirs, see [link to relevant documentation]. Figure 1 The method specifically includes the following:

[0062] Step 100: Determine the wind field cycle signal of shallow-water coarse-medium grain reservoirs based on the characterization parameters of sandy beach-bars;

[0063] By utilizing the principle that the difference in the amount of solar radiation incident on the Earth's surface leads to atmospheric pressure difference, which in turn forms wind field, the wind field cycle signal of shallow coarse- to medium-grained reservoirs can be quantitatively recovered from the characterization parameters of sandy (gravel) beach dams.

[0064] Step 200: Determine the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale;

[0065] Similar to the method used in step 100, wind field cycles of deep-water fine-grained reservoirs are identified based on changes in sedimentary structures (layered, lamellar) and mineral content (fels, clay, carbonate minerals) of deep-water cement shale.

[0066] Specifically, wind field cycles in deep-water fine-grained reservoirs are established by identifying sedimentary structural parameters and mineral content. Massive deep-water cement rocks with a felsic content >50% correspond to strong wind field backgrounds in deep-water fine-grained reservoirs, while lamellar deep-water cement rocks with a calcareous content >50% correspond to weak wind field backgrounds in deep-water fine-grained reservoirs.

[0067] Step 300: Predict conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of the shallow-water coarse-medium grain reservoirs and the deep-water fine-grained reservoirs.

[0068] Specifically, based on the wind field cycle signals of shallow water coarse-medium grain reservoirs and deep water fine-grained reservoirs in steps 100 and 200, a high-precision stratigraphic framework integrating shallow and deep water is established. Based on the wind field variation patterns within this stratigraphic framework, accurate vertical prediction of conventional and unconventional oil and gas reservoirs throughout the basin is achieved.

[0069] The stratigraphic framework here refers to the regional spatiotemporal ordered arrangement of various stratigraphic or lithographic units widely used in stratigraphic sequences. It is the geometric morphology and configuration of stratigraphic and lithological units within a basin (Conybeare C.EB, 1979), a three-dimensional concept. Advances in seismic exploration technology and the emergence of sequence stratigraphy methods have enabled the rapid identification of unconformities and their corresponding conformable surfaces in basin studies, allowing for the division and comparison of sequence stratigraphic units at different levels, and the establishment of isochronous stratigraphic frameworks. Based on this, further research can be conducted on sedimentary system tracts, sedimentary systems, and facies, reconstructing the paleogeographic environment and distribution of sedimentary systems in basins at various periods. Unlike general paleogeographic analysis, in hydrocarbon basin analysis, megasequences, supersequences, sequences, system tracts, sedimentary systems, and facies are all considered as geological bodies—that is, building blocks filling different levels of sedimentary basins. In oil and gas basins, this type of study can elucidate the spatial configuration of source rocks, reservoirs, and caprocks.

[0070] As described above, the integrated prediction method for conventional and unconventional oil and gas reservoirs provided in this embodiment of the invention first determines the wind field cycle signal of shallow-water coarse- to medium-grained reservoirs based on the characterization parameters of sandy beach bars; then, it determines the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale; finally, it predicts conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of shallow-water coarse- to medium-grained reservoirs and deep-water fine-grained reservoirs.

[0071] Addressing the issue of fragmented and disjointed exploration of conventional and unconventional oil and gas reservoirs, this application pioneers a novel method for vertically precise stratigraphy and exploration of conventional and unconventional oil and gas reservoirs based on wind field cycles. This method utilizes wind field cycles to establish a high-precision stratigraphic framework integrating deep and shallow water conditions. Based on the wind field variation patterns within this framework, it achieves vertically precise stratigraphy of both conventional and unconventional oil and gas reservoirs across the entire basin.

[0072] In one embodiment, the characterization parameters of the sandy beach bar include: wave breaking index, wave-breaking sandbar thickness, and basin diameter;

[0073] The sedimentary structural parameters include layered characterization parameters and lamellar characterization parameters;

[0074] The mineral content includes: felsic mineral content, clay mineral content, and carbonate mineral content.

[0075] In one embodiment, step 100 is implemented by the following formula:

[0076]

[0077] Where U is the wind field cycle signal of shallow-water coarse-to-medium grain reservoir, γ b For wave breaking index; t b α represents the thickness of the wave-breaking sandbar; F is the diameter of the basin; β is a constant; and α is the bottom slope.

[0078] In one embodiment, see Figure 2 Step 300 includes:

[0079] Step 301: Establish a deep-shallow integrated isochronous stratigraphic framework based on the wind field cycle signals of the shallow-water coarse-medium grained reservoir and the deep-water fine-grained reservoir.

[0080] Based on steps 100 and 200, the wind field cycle variation law (consistency law) of deep-water and shallow-water sediments is used to connect the wind field cycle signals of deep-water fine-grained reservoirs and shallow-water coarse-to-medium-grained reservoirs one by one to establish an integrated deep-water and shallow-water isochronous stratigraphic framework.

[0081] Step 302: Predict conventional and unconventional oil and gas reservoirs based on the integrated deep-shallow water isochronous stratigraphic framework.

[0082] In one embodiment, see Figure 3 Step 302 includes:

[0083] Step 3021: Based on the integrated deep-shallow water isochronous stratigraphic framework, establish stratigraphic correlation results under long-period wind cycles, medium-period wind cycles, and short-period wind cycles respectively;

[0084] Specifically, see Figure 4 Based on the integrated deep-shallow water isochronous stratigraphic framework, deep-shallow water stratigraphic correlation schemes were established for long-period wind cycles (400,000 years), medium-period wind cycles (125,000 years), and short-period wind cycles (23,000 years).

[0085] Step 3022: Based on the stratigraphic correlation results under long-period wind cycles, medium-period wind cycles, and short-period wind cycles, predict conventional and unconventional oil and gas reservoirs.

[0086] In one embodiment, see Figure 5 Step 3022 includes:

[0087] Step 30221: Predict the size and type of conventional oil and gas reservoirs and the size and type of unconventional oil and gas reservoirs based on the stratigraphic correlation results under long-period wind cycles;

[0088] The strong wind and wave field background during the wind intensification phase (middle of the cycle) of a long-period wind cycle corresponds to large-scale high-quality sandstone (conglomerate) type conventional oil and gas reservoirs in shallow water coarse-medium grained reservoirs and deep-water terrestrial-mixed-source unconventional oil and gas sweet spots. Conversely, the weak wind and wave field background during the wind weakening phase (top and bottom of the cycle) of a long-period wind cycle corresponds to thin interbedded sandstone (conglomerate) type conventional oil and gas reservoirs and deep-water mixed-source-endogenous unconventional oil and gas sweet spots.

[0089] Step 30222: Predict the depth of conventional oil and gas reservoirs and the depth of unconventional oil and gas reservoirs based on the stratigraphic correlation results under the medium-period wind cycle;

[0090] High-quality conventional oil and gas reservoirs in shallow water coarse-medium grain reservoirs are developed in the strong wind field background in the middle of the medium-cycle wind field cycle, while unconventional oil and gas sweet spots in deep water Class I are located in the weak wind field and weak agitation background at the top and bottom of the medium-cycle wind field cycle.

[0091] Step 30223: Predict the internal structure of conventional oil and gas reservoirs and unconventional oil and gas reservoirs based on the stratigraphic correlation results under short-period wind cycles.

[0092] For conventional oil and gas reservoirs in shallow-water coarse- to medium-grained reservoirs, sandstone (conglomerate) is enriched in the middle of short-period wind field cycles, which is the part with a relatively fast deposition rate. Interlayers are developed at the top and bottom of short-period wind field cycles, which is the "intermittent period" of deposition. One short-period wind field cycle corresponds to one internal phase.

[0093] In steps 30221 to 30223, the vertical and precise division of oil and gas reservoir types, phases, and internal structures is achieved based on the wind field evolution law under the control of the high-precision stratigraphic framework. This includes three steps from large to small (steps 30221 to 30223), as shown in Table 1.

[0094] Table 1

[0095]

[0096] To further illustrate this solution, this invention also provides a specific application example of the integrated prediction method for conventional and unconventional oil and gas reservoirs, using Oilfield A as an example. This specific application example includes the following details, see [link to relevant documentation]. Figure 6 .

[0097] S1: Determine the wind field cycle signal of shallow water coarse and medium grained reservoirs based on the characterization parameters of sandy beach-bars;

[0098] S2: Determine the wind field cycle signal of deep-water fine-grained reservoirs based on sedimentary structural parameters and mineral content of deep-water cement shale;

[0099] S3: Predict conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of shallow-water coarse-medium grained reservoirs and deep-water fine-grained reservoirs.

[0100] In conventional oil and gas exploration, Oilfield A deployed Well E using the aforementioned method. Before drilling, the cycle depths of Well E were predicted based on the cycle depths of adjacent wells and the formation dip. During the drilling process, a large set of high-quality conventional oil and gas reservoirs was encountered in the middle of the long-cycle wind field cycle, while smaller, lower-quality conventional oil and gas reservoirs were encountered at the top and bottom of the long-cycle wind field cycle. The more precise vertical location of the high-quality reservoirs was in the middle of the medium-cycle wind field cycle, and clay interlayers were encountered at the top and bottom interfaces of the short-cycle wind field cycle within the reservoir. The error between the actual drilling results and the predicted results was less than one precession cycle thickness (2-3 meters). Figure 7 For example, in unconventional oil and gas exploration, Oilfield A used this technology to deploy Well D. Before drilling, based on the depth of each cycle of Well D in the adjacent well and the dip of the formation, the thickness of each cycle was predicted. The endogenous sweet spot layer at the bottom of the medium-cycle wind field (located at the bottom of the long-cycle wind field) was selected for fracturing to obtain high-yield unconventional oil flow.

[0101] This application utilizes the principle that controlled variations in the amount of solar radiation incident on the Earth's surface lead to atmospheric pressure differences, which in turn create wind fields. It pioneers a novel method for vertically precise stratigraphy and exploration of conventional and unconventional oil and gas reservoirs based on wind field cycles. Figure 8 This method utilizes wind field cycles to establish a high-precision stratigraphic framework integrating deep and shallow water. Based on the wind field variation patterns within the stratigraphic framework, it achieves precise vertical stratigraphy of conventional and unconventional oil and gas reservoirs throughout the entire basin.

[0102] Based on the same inventive concept, this application also provides an integrated prediction device for conventional and unconventional oil and gas reservoirs, which can be used to implement the methods described in the above embodiments, as described in the following embodiments. Since the principle of the integrated prediction device for conventional and unconventional oil and gas reservoirs is similar to that of the integrated prediction method for conventional and unconventional oil and gas reservoirs, the implementation of the integrated prediction device for conventional and unconventional oil and gas reservoirs can refer to the implementation of the integrated prediction method for conventional and unconventional oil and gas reservoirs, and will not be repeated. As used below, the terms "unit" or "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the system described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0103] Embodiments of the present invention provide a specific implementation of an integrated prediction device for conventional and unconventional oil and gas reservoirs, capable of realizing an integrated prediction method for both conventional and unconventional oil and gas reservoirs. See [link to specific implementation details]. Figure 9 The integrated prediction device for conventional and unconventional oil and gas reservoirs specifically includes the following components:

[0104] The first signal determination module 10 is used to determine the wind field cycle signal of shallow water coarse and medium grain reservoirs based on the characterization parameters of sandy beach dams.

[0105] The second signal determination module 20 is used to determine the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale.

[0106] The reservoir prediction module 30 is used to predict conventional oil and gas reservoirs and unconventional oil and gas reservoirs based on the wind field cycle signals of the shallow water coarse and medium-grained reservoirs and the deep water fine-grained reservoirs.

[0107] In one embodiment, the characterization parameters of the sandy beach bar include: wave breaking index, wave-breaking sandbar thickness, and basin diameter;

[0108] The sedimentary structural parameters include layered characterization parameters and lamellar characterization parameters;

[0109] The mineral content includes: felsic mineral content, clay mineral content, and carbonate mineral content.

[0110] In one embodiment, see Figure 10 The reservoir prediction module 30 includes:

[0111] The stratigraphic framework establishment unit 301 is used to establish a deep-shallow integrated isochronous stratigraphic framework based on the wind field cycle signal of the shallow water coarse-medium grain reservoir and the wind field cycle signal of the deep water fine grain reservoir.

[0112] The reservoir prediction unit 302 is used to predict conventional oil and gas reservoirs and unconventional oil and gas reservoirs based on the integrated deep-shallow water isochronous stratigraphic framework.

[0113] In one embodiment, see Figure 11 The reservoir prediction unit 302 includes:

[0114] The stratigraphic correlation result establishment unit 3021 is used to establish stratigraphic correlation results under long-period wind cycles, stratigraphic correlation results under medium-period wind cycles, and stratigraphic correlation results under short-period wind cycles based on the integrated deep-shallow water isochronous stratigraphic framework.

[0115] The reservoir prediction subunit 3022 is used to predict conventional and unconventional oil and gas reservoirs based on stratigraphic correlation results under long-period wind cycles, medium-period wind cycles, and short-period wind cycles.

[0116] In one embodiment, see Figure 12 The reservoir prediction subunit 3022 includes:

[0117] Reservoir size prediction unit 30221 is used to predict the size and type of conventional oil and gas reservoirs and the size and type of unconventional oil and gas reservoirs based on stratigraphic correlation results under long-period wind cycles.

[0118] The reservoir depth prediction unit 30222 is used to predict the depth of conventional oil and gas reservoirs and the depth of unconventional oil and gas reservoirs based on the stratigraphic correlation results under the medium-period wind cycle.

[0119] The reservoir internal structure prediction unit 30223 is used to predict the internal structure of conventional oil and gas reservoirs and unconventional oil and gas reservoirs based on the stratigraphic correlation results under short-period wind cycles.

[0120] As described above, the integrated prediction device for conventional and unconventional oil and gas reservoirs provided in this embodiment of the invention first determines the wind field cycle signal of shallow-water coarse-medium grained reservoirs based on the characterization parameters of sandy beach bars; then, it determines the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale; finally, it predicts conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of shallow-water coarse-medium grained reservoirs and deep-water fine-grained reservoirs.

[0121] Addressing the issue of fragmented and disjointed exploration of conventional and unconventional oil and gas reservoirs, this application pioneers a novel method for vertically precise stratigraphy and exploration of conventional and unconventional oil and gas reservoirs based on wind field cycles. This method utilizes wind field cycles to establish a high-precision stratigraphic framework integrating deep and shallow water conditions. Based on the wind field variation patterns within this framework, it achieves vertically precise stratigraphy of both conventional and unconventional oil and gas reservoirs across the entire basin.

[0122] This application also provides a specific implementation of an electronic device capable of implementing all steps in the integrated prediction method for conventional and unconventional oil and gas reservoirs described in the above embodiments. See [link to implementation details]. Figure 13 The electronic devices specifically include the following:

[0123] Processor 1201, memory 1202, communications interface 1203, and bus 1204;

[0124] The processor 1201, memory 1202, and communication interface 1203 communicate with each other via bus 1204; the communication interface 1203 is used to realize information transmission between server-side devices, measuring devices, and user-side devices and other related devices.

[0125] The processor 1201 is used to call the computer program in the memory 1202. When the processor executes the computer program, it implements all the steps in the integrated prediction method for conventional and unconventional oil and gas reservoirs in the above embodiments. For example, when the processor executes the computer program, it implements the following steps:

[0126] Step 100: Determine the wind field cycle signal of shallow-water coarse-medium grain reservoirs based on the characterization parameters of sandy beach-bars;

[0127] Step 200: Determine the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale;

[0128] Step 300: Predict conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of the shallow-water coarse-medium grain reservoirs and the deep-water fine-grained reservoirs.

[0129] Embodiments of this application also provide a computer-readable storage medium capable of implementing all steps of the integrated prediction method for conventional and unconventional oil and gas reservoirs in the above embodiments. The computer-readable storage medium stores a computer program that, when executed by a processor, implements all steps of the integrated prediction method for conventional and unconventional oil and gas reservoirs in the above embodiments. For example, when the processor executes the computer program, it implements the following steps:

[0130] Step 100: Determine the wind field cycle signal of shallow-water coarse-medium grain reservoirs based on the characterization parameters of sandy beach-bars;

[0131] Step 200: Determine the wind field cycle signal of deep-water fine-grained reservoirs based on the sedimentary structural parameters and mineral content of deep-water cement shale;

[0132] Step 300: Predict conventional and unconventional oil and gas reservoirs based on the wind field cycle signals of the shallow-water coarse-medium grain reservoirs and the deep-water fine-grained reservoirs.

[0133] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. In particular, hardware + program embodiments are relatively simple in description because they are fundamentally similar to method embodiments; relevant parts can be referred to the descriptions in the method embodiments.

[0134] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0135] While this specification provides method operation steps as described in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-inventive means. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual device or end product execution, the methods shown in the embodiments or drawings may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even a distributed data processing environment). The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, product, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, product, or apparatus. Without further limitations, the presence of other identical or equivalent elements in the process, method, product, or apparatus that includes said elements is not excluded.

[0136] Specific embodiments have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method of integrated prediction of conventional and unconventional oil and gas reservoirs, characterized in that, The method comprises the following steps: determining the wind field cycle signal of the shallow water coarse medium grain reservoir according to the characterization parameters of the sandy beach bar; determining the wind field cycle signal of the deep water fine grain reservoir according to the sedimentary structure parameters and the mineral content of the deep water shale; predicting the conventional oil and gas reservoir and the unconventional oil and gas reservoir according to the wind field cycle signal of the shallow water coarse medium grain reservoir and the wind field cycle signal of the deep water fine grain reservoir; the method for predicting the conventional oil and gas reservoir and the unconventional oil and gas reservoir according to the wind field cycle signal of the shallow water coarse medium grain reservoir and the wind field cycle signal of the deep water fine grain reservoir comprises: establishing a deep-shallow water integrated isochronous stratigraphic framework according to the wind field cycle signal of the shallow water coarse medium grain reservoir and the wind field cycle signal of the deep water fine grain reservoir; predicting the conventional oil and gas reservoir and the unconventional oil and gas reservoir according to the deep-shallow water integrated isochronous stratigraphic framework.

2. The integrated prediction method of claim 1, wherein, The characterization parameters of the sandy beach bar comprise a breaking wave index, a breaking wave sand bar thickness and a basin diameter; The sedimentary structure parameters comprise stratified characterization parameters and laminated characterization parameters; The mineral content comprises felsic mineral content, clay mineral content and carbonate mineral content.

3. The integrated prediction method of claim 1, wherein, The method for predicting the conventional oil and gas reservoir and the unconventional oil and gas reservoir according to the deep-shallow water integrated isochronous stratigraphic framework comprises: establishing stratigraphic correlation results under long-period wind cycle, stratigraphic correlation results under medium-period wind cycle and stratigraphic correlation results under short-period wind cycle respectively according to the deep-shallow water integrated isochronous stratigraphic framework; predicting the conventional oil and gas reservoir and the unconventional oil and gas reservoir according to the stratigraphic correlation results under long-period wind cycle, the stratigraphic correlation results under medium-period wind cycle and the stratigraphic correlation results under short-period wind cycle.

4. The integrated prediction method of claim 3, wherein, The method for predicting the conventional oil and gas reservoir and the unconventional oil and gas reservoir according to the stratigraphic correlation results under long-period wind cycle, the stratigraphic correlation results under medium-period wind cycle and the stratigraphic correlation results under short-period wind cycle comprises: predicting the size and type of the conventional oil and gas reservoir, the size and type of the unconventional oil and gas reservoir according to the stratigraphic correlation results under long-period wind cycle; predicting the depth of the conventional oil and gas reservoir and the depth of the unconventional oil and gas reservoir according to the stratigraphic correlation results under medium-period wind cycle; predicting the internal structure of the conventional oil and gas reservoir and the internal structure of the unconventional oil and gas reservoir according to the stratigraphic correlation results under short-period wind cycle.

5. An apparatus for integrated prediction of conventional and unconventional oil and gas reservoirs, comprising: The method comprises the following steps: a first signal determination module is configured to determine the wind field cycle signal of the shallow water coarse medium grain reservoir according to the characterization parameters of the sandy beach bar; a second signal determination module is configured to determine the wind field cycle signal of the deep water fine grain reservoir according to the sedimentary structure parameters and the mineral content of the deep water shale; a reservoir prediction module is configured to predict the conventional oil and gas reservoir and the unconventional oil and gas reservoir according to the wind field cycle signal of the shallow water coarse medium grain reservoir and the wind field cycle signal of the deep water fine grain reservoir; the reservoir prediction module comprises: a stratigraphic framework establishment unit is configured to establish a deep-shallow water integrated isochronous stratigraphic framework according to the wind field cycle signal of the shallow water coarse medium grain reservoir and the wind field cycle signal of the deep water fine grain reservoir; The reservoir prediction unit is configured to predict conventional and unconventional oil and gas reservoirs based on the deep-shallow water integrated isochronal stratigraphic framework.

6. The integrated prediction device of claim 5, wherein The characterization parameters of the sandy beach bar include a breaking wave index, a breaking wave sand bar thickness, and a basin diameter. The sedimentary structure parameters include stratified and laminated characterization parameters. The mineral content includes felsic mineral content, clay mineral content, and carbonate mineral content.

7. The integrated prediction device of claim 5, wherein The reservoir prediction unit includes: The stratigraphic correlation result establishment unit is configured to establish stratigraphic correlation results under long, medium, and short cycle wind rotations based on the deep-shallow water integrated isochronal stratigraphic framework. The reservoir prediction sub-unit is configured to predict conventional and unconventional oil and gas reservoirs based on the stratigraphic correlation results under long, medium, and short cycle wind rotations.

8. The integrated prediction device of claim 7, wherein, The reservoir prediction sub-unit includes: The reservoir scale prediction unit is configured to predict the scale and type of conventional oil and gas reservoirs and the scale and type of unconventional oil and gas reservoirs based on the stratigraphic correlation results under long cycle wind rotation. The reservoir depth prediction unit is configured to predict the depth of conventional and unconventional oil and gas reservoirs based on the stratigraphic correlation results under medium cycle wind rotation. The reservoir internal structure prediction unit is configured to predict the internal structure of conventional and unconventional oil and gas reservoirs based on the stratigraphic correlation results under short cycle wind rotation.

9. A computer program product comprising computer programs / instructions, characterized in that, The computer program / instructions, when executed by a processor, implement the integrated prediction method of conventional and unconventional oil and gas reservoirs according to any one of claims 1 to 4.

10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor, when executing the program, implements the steps of the integrated prediction method of conventional and unconventional oil and gas reservoirs according to any one of claims 1 to 4.

11. A computer readable storage medium having stored thereon a computer program, characterized in that The computer program, when executed by a processor, implements the steps of the integrated prediction method of conventional and unconventional oil and gas reservoirs according to any one of claims 1 to 4.

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