Microbial beach deposition configuration characterization method and device, electronic equipment and medium

Abstract

The embodiment of the invention discloses a method and a device for characterizing a microbial beach deposition configuration, electronic equipment and a medium. The method comprises the following steps: carrying out grading treatment on microbial beach deposition configuration, determining deposition configuration characteristics and configuration unit identification marks of different grades of microbial beach deposition configuration units, and carrying out outcrop interpretation and single well interpretation; the three-dimensional seismic data and the logging data are utilized to determine the superposition pattern and the superposition characteristic of the microbial hillock beach sedimentary configuration unit; the method comprises the following steps: analyzing evolution characteristics of a microbial hillock beach sedimentary configuration according to sedimentary configuration characteristics and superposition characteristics obtained according to field geological outcrop data, three-dimensional seismic data and logging data in combination with sedimentary forward numerical simulation, and establishing a corresponding sedimentary configuration mode; by adopting the scheme, the geological basis is provided for characterization of high-quality reservoirs and connected units by analogy of field geological outcrops, recognition of the microbial hillock beach sedimentary configuration units, summarization of the stacking pattern of the sedimentary configuration units and description of sedimentary evolution characteristics.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of oil and gas field exploration and development technology, and in particular to a method, apparatus, electronic equipment and medium for characterizing microbial hills and shoals sedimentary structures. Background Technology

[0002] Microbial mounds and shoals are carbonate sedimentary bodies formed by microorganisms capturing, encapsulating, or cementing clastic particles, or by microbial mineralization. Microbial mounds and shoals are widely developed globally and are important oil and gas reservoirs. In recent years, significant breakthroughs have been achieved in the exploration and development of microbial mound and shoal reservoirs in the Sichuan Basin, with natural gas reserves exceeding ten trillion cubic meters. The Dengying Formation gas reservoir in the Anyue Gas Field has been successfully developed and has achieved good production results, with an annual gas production exceeding 6 billion cubic meters.

[0003] Currently, researchers have conducted extensive studies on the composition, formation mechanism, classification, and evolution of microbial mounds and shoals. However, in terms of sedimentary configuration studies, previous research has focused on clastic rock sedimentary configurations, and while some exploration has been done on carbonate reef and shoal sedimentary configurations, studies on the order, superposition patterns, sedimentary evolution characteristics, and main controlling factors of carbonate microbial mound and shoal sedimentary configurations are relatively lacking. Regarding sedimentary configuration research methods, limitations in the number of wells and seismic resolution in different regions mean that conducting sedimentary configuration studies solely using well logging and seismic data, especially on carbonate microbial mound and shoal sedimentary configurations, faces significant challenges. Numerous gas reservoir production dynamics indicate that the controlled reserves and well control radii of different gas wells in carbonate microbial mound and shoal reservoirs vary considerably, with severe polarization in single-well production and varying degrees of reserve utilization across different blocks. Although reservoirs are significantly influenced by diagenesis, microbial mound and shoal deposition remains the fundamental factor controlling the development of high-quality reservoirs and interconnected units. Therefore, in-depth analysis of microbial mound and shoal sedimentary configurations is of great significance for identifying high-quality gas reservoirs and interconnected units, deploying infill wells, and improving reserve utilization.

[0004] Therefore, determining the sedimentary configuration of microbial mounds and beaches is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] This invention provides a method, apparatus, electronic device, and storage medium for characterizing microbial mound and beach sedimentary configurations. By analogy with geological outcrops in the field, it identifies microbial mound and beach sedimentary configuration units, summarizes the superposition patterns of sedimentary configuration units, describes sedimentary evolution characteristics, and provides geological basis for characterizing high-quality reservoirs and connected units.

[0006] In a first aspect, embodiments of the present invention provide a method for characterizing microbial hill-shoal sedimentary architecture, comprising:

[0007] Acquire geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data;

[0008] Using core data and well logging data, we carried out single-well stratigraphic division and well-to-well stratigraphic correlation, established a stratigraphic framework and conducted seismic stratigraphic tracing.

[0009] The development patterns of bioherms were obtained, and the microbial mound and shoal sedimentary configurations were classified based on the bioherm development patterns and field geological outcrop data.

[0010] The sedimentary configuration characteristics and identification markers of different levels of microbial mound and beach sedimentary configuration units were determined, and outcrop interpretation and single-well interpretation were carried out for different levels of microbial mound and beach sedimentary configuration units;

[0011] By combining the outcrop interpretation, single-well interpretation, and seismic phase axis reflection characteristics, the superposition pattern of microbial mound and shoal sedimentary morphological units was determined, and the superposition characteristics of different superposition patterns were determined.

[0012] Based on the sedimentary configuration and superposition characteristics obtained from field geological outcrop data, 3D seismic data and well logging data, combined with sedimentary forward modeling numerical simulation, the evolution characteristics of the microbial mound and shoal sedimentary configuration of the target layer are analyzed, and the corresponding sedimentary configuration model is established.

[0013] Secondly, embodiments of the present invention also provide a device for characterizing microbial mound and beach sedimentary configurations, comprising:

[0014] The data acquisition module is used to acquire geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data;

[0015] The stratigraphic tracing module is used to conduct single-well stratigraphic division and well-to-well stratigraphic correlation using core data and well logging data, to establish a stratigraphic framework and perform seismic stratigraphic tracing.

[0016] The sedimentary configuration classification module is used to obtain bioherm development patterns and classify microbial mound and beach sedimentary configurations based on the bioherm development patterns and field geological outcrop data.

[0017] The graded sedimentary configuration interpretation module is used to determine the sedimentary configuration characteristics and sedimentary configuration identification markers of different grades of microbial mound and beach sedimentary configuration units, and to perform outcrop interpretation and single-well interpretation of different grades of microbial mound and beach sedimentary configuration units.

[0018] The overlay pattern feature determination module is used to combine the outcrop interpretation, single-well interpretation and seismic phase axis reflection features to determine the overlay pattern of microbial mound and shoal sedimentary configuration units, and to determine the overlay features of different overlay patterns.

[0019] The sedimentary configuration characterization module is used to analyze the evolution characteristics of microbial mound and shoal sedimentary configurations in the target layer based on sedimentary configuration features and superposition features obtained from field geological outcrop data, 3D seismic data and well logging data, combined with sedimentary forward modeling numerical simulation, and to establish corresponding sedimentary configuration models.

[0020] Thirdly, embodiments of the present invention also provide an electronic device, the electronic device comprising:

[0021] One or more processors;

[0022] Storage device for storing one or more programs;

[0023] When the one or more programs are executed by the one or more processors, the one or more processors implement the microbial hill and beach sedimentary configuration characterization method according to any embodiment of the present invention.

[0024] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the microbial hill and beach sedimentary configuration characterization method described in any embodiment of the present invention.

[0025] Fifthly, embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the microbial hill and beach sedimentary configuration characterization method as described in any embodiment of the present invention.

[0026] This invention provides a method, apparatus, electronic device, and storage medium for characterizing microbial mound and beach sedimentary configurations. The method involves acquiring geological data; utilizing core data and well logging data to perform single-well stratigraphic division and well-to-well stratigraphic correlation, establishing a stratigraphic framework, and conducting seismic stratigraphic tracing; classifying the microbial mound and beach sedimentary configurations to determine the sedimentary configuration characteristics and identification markers of different levels of microbial mound and beach sedimentary configuration units; interpreting outcrops and single-wells for different levels of microbial mound and beach sedimentary configuration units; determining the superposition patterns of microbial mound and beach sedimentary configuration units and identifying the superposition characteristics of different superposition patterns; and analyzing the evolution characteristics of the microbial mound and beach sedimentary configurations of the target layer based on sedimentary outcrop data, 3D seismic data, and well logging data, combined with sedimentary forward modeling numerical simulation, and establishing corresponding sedimentary configuration models. By employing the technical solution of this invention, a comprehensive study of the microbial mound-shoal sedimentary configuration of underground gas reservoirs is conducted by analogy with geological outcrops in the field. Combining core, well logging, and seismic data, microbial mound-shoal sedimentary configuration units are identified, the superposition patterns of sedimentary configuration units are summarized, and the evolution characteristics of microbial mound-shoal sedimentary configurations are described by combining sedimentary forward modeling numerical simulations. This provides a geological basis for the characterization of high-quality reservoirs and connected units, and provides a reference for the sedimentary configuration anatomy of similar carbonate sedimentary bodies. Attached Figure Description

[0027] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings. The drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0028] Figure 1 This is a flowchart of a method for characterizing microbial hill and beach sedimentary configurations provided in an embodiment of the present invention;

[0029] Figure 2 This is a schematic diagram illustrating the interpretation results of outcrops of a microbial hill-shoal sedimentary configuration unit provided in an embodiment of the present invention;

[0030] Figure 3 This is a schematic diagram of the interpretation results of a single well in a microbial hill-shoal sedimentary configuration unit provided in an embodiment of the present invention;

[0031] Figure 4 This is a schematic diagram of the seismic reflection characteristics of microbial mounds with different stacking patterns provided in an embodiment of the present invention;

[0032] Figure 5 This is a flowchart of another method for characterizing microbial hill and beach sedimentary configurations provided in this embodiment of the invention;

[0033] Figure 6 This is a schematic plan view of the target layer sedimentary paleogeography in the study area provided in this embodiment of the invention;

[0034] Figure 7 This is a schematic diagram of the planar thickness of each microbial mound in the study area provided in this embodiment of the invention;

[0035] Figure 8 This is a schematic diagram of the seismic waveform classification results of each sub-layer in the study area provided in an embodiment of the present invention;

[0036] Figure 9 This is a schematic diagram of the planar distribution of microbial mounds and beaches in each sublayer of the research area provided in this embodiment of the invention;

[0037] Figure 10 This is a schematic diagram illustrating the differences and evolutionary characteristics of microbial mound and beach stacking patterns provided in an embodiment of the present invention;

[0038] Figure 11 This is a schematic diagram of the initial paleowater depth distribution in a sedimentary numerical simulation provided in this embodiment of the invention;

[0039] Figure 12This is a schematic diagram of a sea-level change curve in a sedimentary numerical simulation provided in an embodiment of the present invention;

[0040] Figure 13 This is a schematic diagram of the variation curves of the deposition rate of different sedimentary microfacies in a microbial mound as a function of water depth, provided in an embodiment of the present invention.

[0041] Figure 14 This is a schematic diagram of a well-to-well cross-section comparing the results of a microbial hill beach simulation with actual drilling, provided in an embodiment of the present invention.

[0042] Figure 15 This is a schematic diagram illustrating the planar distribution and evolution characteristics of microfacies in microbial hills and beaches at different periods, provided in an embodiment of the present invention.

[0043] Figure 16 This is a schematic diagram illustrating the evolutionary characteristics of microbial mound and beach superposition patterns at different stages, provided in an embodiment of the present invention.

[0044] Figure 17 This is a schematic diagram of a microbial hill-shoal sedimentary configuration development model provided in an embodiment of the present invention;

[0045] Figure 18 This is a schematic diagram of the structure of a microbial hill and beach sedimentary configuration characterization device provided in an embodiment of the present invention;

[0046] Figure 19 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0047] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0048] 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 operations (or steps) as sequential processes, many of the operations (or steps) may be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operation is completed, but may also have additional steps not included in the figures. The process may correspond to a method, function, procedure, subroutine, subroutine, etc.

[0049] The acquisition, storage, use, and processing of data in this application comply with relevant national laws and regulations. It should be noted that existing industry solutions such as software, components, or models may be mentioned in the embodiments of this application. These should be considered exemplary and intended only to illustrate the feasibility of implementing the technical solution of this application, but do not imply that the applicant has already used or necessarily used such a solution.

[0050] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in sequences other than those illustrated or described herein.

[0051] Example 1

[0052] Figure 1 This is a flowchart illustrating a method for characterizing microbial mound-shoal sedimentary configurations according to an embodiment of the present invention. This embodiment is applicable to characterizing the microbial mound-shoal sedimentary configurations of carbonate rocks. The method of this embodiment can be executed by a microbial mound-shoal sedimentary configuration characterization device, which can be implemented in hardware and / or software. This device can be configured in a server for microbial mound-shoal sedimentary configuration characterization. The method specifically includes the following steps:

[0053] S110: Obtain geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data.

[0054] Geological background data can refer to various information and data related to geology, including geological structures, rock types, mineral distribution, geological age, and geological hazards. In this embodiment of the invention, geological background data can refer to information and data related to the geology of microbial mounds, such as the geological structure, rock types, and mineral distribution of microbial mounds.

[0055] 3D seismic data refers to seismic data acquired by distributing a certain number of excitation and reception points on the ground in an area-based manner, thereby obtaining information about the three-dimensional subsurface space. 3D seismic data can provide richer and more effective information than 2D seismic data.

[0056] Well logging data is a crucial tool for obtaining subsurface information in geophysical exploration. It contains various physical parameters, such as resistivity, spontaneous potential, sonic velocity, and rock bulk density, which can be collectively referred to as well logging information. The processing and interpretation of well logging data can provide key geological information about formation lithology, physical properties, and oil-bearing potential.

[0057] Core data is important information obtained through core analysis. It contains detailed information on various aspects of underground rocks, including their physical properties, chemical composition, structural characteristics, and mineral composition.

[0058] Geological outcrops refer to rocks or mineral bodies exposed on the Earth's surface in nature, and are important objects of geological research. These outcrops are important evidence for geologists to study geological processes such as crustal movement, magmatic activity, and metamorphism. The formation of geological outcrops is mainly related to factors such as crustal movement, erosion, and volcanic eruptions. In this embodiment of the invention, geological outcrop data are used to analyze the geological structure and mineral distribution of microbial mounds beneath the surface, in order to analyze the evolutionary characteristics of microbial mound sedimentary architecture.

[0059] This invention analyzes the geological structure of microbial mounds by acquiring geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data, in order to analyze the evolution characteristics of microbial mound sedimentary configurations.

[0060] S120. Using core data and well logging data, single-well stratigraphic division and stratigraphic correlation are carried out to establish a stratigraphic framework and conduct seismic stratigraphic tracing.

[0061] Among them, the stratigraphic framework (stratigraphic architecture) is a regional spatiotemporal ordered arrangement of various stratigraphic or rock units in a stratigraphic sequence.

[0062] Seismic horizon tracing is a crucial step in seismic exploration and plays a vital role in seismic data interpretation. Seismic horizons are reflected in seismic waveforms by characteristics such as phase inversion and similarity. By tracing these horizons, reliable information can be provided for subsurface structures, reservoir modeling, and oil and gas development.

[0063] In this embodiment of the invention, core data and well logging data are used to perform single-well stratigraphic division and well-to-well stratigraphic correlation, establish a stratigraphic framework, and perform seismic stratigraphic tracing. For example, taking the Deng 4 Member microbial mound-shoal reservoir as an example, the target layer Deng 4 Member is clearly divided into Deng 4 from bottom to top. 1 1. Light 4 2 And light four 3 Three sub-layers were identified, and single-well stratigraphic division and well-to-well stratigraphic correlation were carried out. The target stratigraphic framework of the study area was established by combining 3D seismic data, and seismic horizon tracking and interpretation were conducted.

[0064] S130. Obtain the bioherm development model, and classify the microbial mound and shoal sedimentary configuration based on the bioherm development model and field geological outcrop data.

[0065] The development patterns of bioherms refer to the regularities and patterns of bioherm formation in specific geological environments. These patterns reflect the interactions between bioherm formation and the geographical environment, tectonic activity, and sea-level changes. These bioherm development patterns include, but are not limited to, platform margin reef development patterns, ancient uplift slope reef development patterns, and ancient uplift crest reef development patterns.

[0066] Classifying microbial mound and beach sedimentary configurations can refer to dividing microbial mounds and beaches into different levels of microbial mound and beach sedimentary configurations. These different levels of microbial mound and beach sedimentary configurations include composite microbial mounds and beaches, single microbial mounds and beaches, and single sedimentary microfacies. The characteristics of the sedimentary configurations include sedimentary lithology, profile morphology, vertical thickness, and well logging response.

[0067] Optionally, by utilizing field geological outcrop data with similar geological conditions at the same stratigraphic level and referring to bioherm development patterns, a classification scheme for microbial mound and beach sedimentary architecture can be determined, dividing the microbial mound and beach sedimentary architecture in the study area into three levels: composite microbial mound and beach, single microbial mound and beach, and single sedimentary microfacies.

[0068] S140. Determine the sedimentary configuration characteristics and identification markers of different levels of microbial mound and beach sedimentary configuration units, and perform outcrop interpretation and single-well interpretation for different levels of microbial mound and beach sedimentary configuration units.

[0069] Based on well logging data, core data, and field geological outcrop data, the sedimentary configuration characteristics and identification markers of different levels of microbial mound-shoal sedimentary configuration units were determined. The characteristics of these sedimentary configuration units include lithology, morphology, and scale. Composite microbial mounds are dominated by algal dolomite, with a thickness between 20 and 40 m; single microbial mounds are dominated by algal clotted dolomite and algal stromatolites, with a thickness mainly concentrated between 5 and 10 m; single sedimentary microfacies lithologies are algal dolomite and micritic dolomite, with significant differences in thickness between different microfacies.

[0070] Single-well interpretation primarily involves analyzing and interpreting geological data from a single well. This includes using data obtained through various logging techniques, such as resistivity logging, induction logging, and micro-lateral logging, to determine formation lithology, delineate oil, gas, and water layers, and calculate geological parameters and reserves of oil and gas reservoirs. The purpose of single-well interpretation is to understand the downhole geological conditions, assess the potential of oil and gas reservoirs, and guide subsequent drilling and development work.

[0071] Outcrop interpretation refers to the observation and analysis of naturally exposed portions of rocks, veins, and mineral deposits on the Earth's surface. Outcrops can be divided into natural and artificial outcrops, and they directly or indirectly reflect rock properties, stratigraphic occurrence, crustal movement, and mineral reserves. The purpose of outcrop interpretation is to understand the geological structure and mineral distribution beneath the Earth's surface, providing a basis for geological surveys, mineral exploration, and mining.

[0072] Optional, see Figure 2 as well as Figure 3 In this embodiment of the invention, outcrop interpretation and single-well interpretation are performed on microbial mound and beach sedimentary configurations of different levels.

[0073] S150. By combining the outcrop interpretation, single-well interpretation and seismic phase axis reflection characteristics, the superposition pattern of microbial hill and shoal sedimentary configuration units is determined, and the superposition characteristics of different superposition patterns are determined.

[0074] Specifically, by combining outcrop interpretation, single-well interpretation, and seismic phase axis reflection characteristics, the superposition pattern of microbial mound sedimentary configurations is determined, and the morphological differences, sedimentary environment, microfacies assemblage, and seismic phase axis reflection characteristics of microbial mounds with different superposition patterns are analyzed.

[0075] See Figure 4 The superposition patterns of the microbial mound-shoal sedimentary structures include superimposed mound-shoals, migrating mound-shoals, and isolated mound-shoals; superposition characteristics include morphological differences, sedimentary environments, lithological assemblages, and seismic phase axis reflection characteristics. Among them, superimposed mound-shoals are thick, with an aspect ratio between 1 and 3, developed in the platform margin zone, and exhibit vertical accretion, showing a microfacies assemblage of mound base-mound core-mound plateau, with seismic phase axes showing near-horizontal multi-layered parallel reflections. Migrating mound-shoals are of medium thickness, with an aspect ratio between 3 and 10, developed in the platform margin zone, and exhibit lateral accretion, showing a microfacies assemblage of mound base-mound core-mound flank, with seismic phase axes showing imbricate reflections. Isolated mound-shoals are thin, with an aspect ratio greater than 10, developed in low-energy environments within the platform, showing a microfacies assemblage of mound base-mound core-mound cover, with seismic phase axes showing mound-shaped weak reflection characteristics.

[0076] S160. Based on the sedimentary configuration characteristics and superposition characteristics obtained from field geological outcrop data, 3D seismic data and well logging data, combined with sedimentary forward modeling numerical simulation, the evolution characteristics of the microbial mound and shoal sedimentary configuration of the target layer are analyzed, and the corresponding sedimentary configuration model is established.

[0077] Among them, after determining the sedimentary configuration characteristics and sedimentary configuration identification marks of different levels of microbial mound and beach sedimentary configuration units, as well as the superposition characteristics of different superposition patterns of microbial mound and beach sedimentary configuration units, the evolution characteristics of microbial mound and beach sedimentary configurations of the target layer are analyzed based on the sedimentary configuration characteristics and superposition characteristics obtained from field geological outcrop data, three-dimensional seismic data and well logging data, combined with sedimentary forward modeling numerical simulation, and the corresponding sedimentary configuration model is established.

[0078] This invention provides a method for characterizing microbial mound and beach sedimentary configurations. The method involves acquiring geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data. Using core data and well logging data, single-well stratigraphic division and well-to-well stratigraphic correlation are performed to establish a stratigraphic framework and conduct seismic stratigraphic tracing. Bioreef development patterns are obtained, and based on these patterns and field geological outcrop data, the microbial mound and beach sedimentary configurations are classified. The characteristics and identification markers of different levels of microbial mound and beach sedimentary configuration units are determined, and outcrop and single-well interpretations are performed for these units. The outcrop and single-well interpretations are combined with seismic phase axis reflection characteristics to determine the superposition pattern of the microbial mound and beach sedimentary configurations and the superposition characteristics of different superposition patterns. Based on the sedimentary configuration characteristics and superposition characteristics obtained from field geological outcrop data, 3D seismic data, and well logging data, combined with sedimentary forward modeling numerical simulations, the evolution characteristics of the target layer's microbial mound and beach sedimentary configuration are analyzed, and a corresponding sedimentary configuration model is established. By employing the technical solution of this invention, a comprehensive study of the microbial mound-shoal sedimentary configuration of underground gas reservoirs is conducted by analogy with geological outcrops in the field. Combining core, well logging, and seismic data, microbial mound-shoal sedimentary configuration units are identified, the superposition patterns of sedimentary configuration units are summarized, and the sedimentary evolution characteristics are described. This provides a geological basis for the characterization of high-quality reservoirs and connected units, and provides a reference for the sedimentary configuration anatomy of similar carbonate sedimentary bodies.

[0079] Example 2

[0080] Figure 5 This is a flowchart illustrating a method for characterizing microbial mound and beach sedimentary structures provided in an embodiment of the present invention. The embodiments of the present invention further optimize the aforementioned embodiments, and can be combined with various optional solutions from one or more of the above embodiments. For example... Figure 5 As shown, the microbial mound and beach sedimentary configuration characterization method provided in this embodiment of the invention may include the following steps:

[0081] S510: Obtain geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data.

[0082] S520: Using core data and well logging data, single-well stratigraphic division and well-to-well stratigraphic correlation are carried out to establish a stratigraphic framework and conduct seismic stratigraphic tracing.

[0083] S530. Obtain the bioherm development model, and classify the microbial mound and shoal sedimentary configuration based on the bioherm development model and field geological outcrop data.

[0084] S540. Determine the sedimentary configuration characteristics and sedimentary configuration identification markers of different levels of microbial mound and beach sedimentary configuration units, and perform outcrop interpretation and single-well interpretation for different levels of microbial mound and beach sedimentary configuration units.

[0085] S550. By combining the outcrop interpretation, single-well interpretation and seismic phase axis reflection characteristics, the superposition pattern of microbial hill and shoal sedimentary configuration units is determined, and the superposition characteristics of different superposition patterns are determined.

[0086] S560. Based on field geological outcrop data, the first evolutionary characteristic analysis of the microbial mound-shoal sedimentary configuration of the target layer was conducted, and the results of the first evolutionary characteristic analysis were obtained.

[0087] This study utilizes field geological outcrop data, combined with regional sedimentary background data, to analyze the evolutionary characteristics of typical geological outcrop microbial mound-shoal sedimentary morphological units, including lithological changes, superposition patterns, and sedimentary environment variations. This provides a reference for analyzing the evolutionary characteristics of subsurface microbial mound-shoal sedimentary morphological units in the study area. Typical outcrops exhibit characteristics of evolution from the platform interior to the platform margin, with increased algal content and a greater degree of mound-shoal superposition.

[0088] Among them, analogical research on underground reservoir configuration based on geological outcrops of the same geological period and similar sedimentary environment is an important method for sedimentary configuration research, which can provide important information such as the scale, morphology and connectivity of underground geological bodies more conveniently and intuitively.

[0089] S570. Based on the sedimentary configuration and superposition characteristics obtained from three-dimensional seismic data and well logging data, the second evolutionary characteristic analysis of the microbial mound and shoal sedimentary configuration of the target layer was carried out, and the results of the second evolutionary characteristic analysis were obtained.

[0090] The second evolutionary feature analysis refers to the evolutionary feature analysis of the distribution and superposition patterns of microbial mounds and shoals in the target layer by using known sedimentary configuration features and superposition features.

[0091] As an optional but non-limiting implementation, the second evolutionary feature analysis of the microbial mound-shoal sedimentary configuration of the target layer based on sedimentary configuration characteristics and superposition characteristics includes, but is not limited to, steps A1-A4:

[0092] Step A1: Based on the sedimentary configuration characteristics of different levels of microbial mound and beach sedimentary configuration units, draw the planar thickness map of the composite microbial mound and beach at different periods of the target layer.

[0093] Step A2: Perform cluster analysis on the seismic waveforms of the target layer at different periods. Based on the cluster analysis results of the seismic waveforms of the target layer, the sedimentary paleogeography, and the planar thickness map of the composite microbial mounds and shoals, depict the planar distribution map of the composite microbial mounds and shoals at different periods, and perform the fourth evolutionary characteristic analysis.

[0094] Step A3: Conduct well-to-well correlation of different levels of microbial mound and shoal sedimentary configuration units, and divide the composite microbial mound and shoal into individual microbial mounds and shoals.

[0095] Step A4: Determine the superposition pattern of single microbial mounds and beaches in different periods of the target layer, and perform fifth evolutionary feature analysis.

[0096] The second evolutionary characteristic analysis is conducted using the fourth segment of the lamp as an example in the target layer. (See [link]) Figure 6 Using the four lights at the bottom of the target layer 1 The thickness of the strata is used to reconstruct the paleogeography of the Deng Si section, with a greater stratum thickness indicating a higher paleogeography.

[0097] See Figure 7 Based on the interpretation of outcrops in composite microbial mounds and shoals from single wells and single-well interpretations, the resulting sedimentary paleogeography was reconstructed, and the target stratigraphic layer was mapped. 1 1. Light 4 2 And light four 3 Planar thickness map of composite microbial mounds at different stages of the sublayer.

[0098] See Figure 8 Using 3D seismic data, conduct target layer light four 1 1. Light 4 2 And light four 3 Cluster analysis of seismic waveforms from different periods within a small layer shows that the red and yellow waveforms, representing types I and II, effectively reflect the distribution of hills and shoals. (See also...) Figure 9 By combining the obtained sedimentary paleogeography and the drawn planar thickness map of microbial mounds, the planar distribution of composite microbial mounds at different periods was characterized, and their evolutionary characteristics were analyzed.

[0099] Well-to-well correlation was conducted among sedimentary units of different levels of microbial mounds and shoals. Based on indicators such as sedimentary facies transitions, differences in sedimentary thickness, and elevation differences, individual microbial mounds and shoals were delineated within the composite microbial mounds and shoals. (See also...) Figure 10 Based on the seismic phase axis reflection characteristics, the differences and evolutionary characteristics of microbial mound and beach superposition patterns in different periods and regions of the Deng 4 segment of the study area were analyzed through seismic profiles in different directions.

[0100] This study combines geological background data, 3D seismic data, well logging data, and core data to identify microbial mound-shoal sedimentary morphological units, the superposition patterns of overall structural units, describe sedimentary evolution characteristics, and explore the controlling factors of different microbial mound-shoal sedimentary morphological unit superposition patterns, providing geological basis for the characterization of high-quality reservoirs and interconnected units.

[0101] S580. A forward numerical simulation of the microbial mound-shoal sedimentary configuration of the target layer was performed to obtain the third evolutionary characteristic analysis results.

[0102] Based on the analysis of the distribution and superposition pattern evolution characteristics of the microbial mound and beach sedimentary configuration units mentioned above, and with reference to the geological background data of the study area, forward numerical simulation of the microbial mound and beach sediments in the target layer was carried out using stratigraphic simulation software (Dionisos software) to verify the reliability of the outcrop and subsurface analysis results.

[0103] As an optional but non-limiting implementation, the sedimentary forward numerical simulation of the microbial mound-shoal sedimentary configuration of the target layer includes, but is not limited to, steps B1-B7:

[0104] Step B1: Determine the preset parameters for the forward numerical simulation of sedimentation; the preset parameters include the size of the plane grid of the numerical simulation area, the simulation time span and step size, sedimentary lithology, geological stratification and corresponding sedimentary time span.

[0105] Step B2: Determine the initial sedimentary water depth based on the paleogeography of the target layer and the development water depth of different sedimentary microfacies of microbial mounds and shoals.

[0106] Step B3: Determine the subsidence of the target layer based on the stratigraphic thickness, initial sedimentary water depth, and paleowater depth at the end of the sedimentary period at different times.

[0107] Step B4: Based on the geological background data of the target layer area, determine the sea level change curve of the sedimentary forward modeling numerical simulation work area.

[0108] Step B5: Determine the sedimentary water depth for different sedimentary microfacies in microbial mounds and obtain curves showing the variation of different sedimentation rates with water depth.

[0109] Step B6: Analyze the proportion of microbial mounds and shoals in sedimentary microfacies at different times in a single well, and determine the deposition rate of different sedimentary microfacies at different times.

[0110] Step B7: Based on the sedimentation amount, the curves of different sedimentation rates with water depth, and the sedimentation rate, perform forward numerical simulation of the microbial mound and shoal sedimentary configuration of the target layer.

[0111] First, the planar grid size, simulation time span and step size, sedimentary lithology, geological stratification, and corresponding sedimentary time spans for the numerical simulation area are determined. (See also...) Figure 11The restored paleogeomorphology was used as the initial geomorphology for numerical simulation. The initial sedimentary water depth was determined by combining the distribution of microbial mounds and shoals and the developmental water depth of different sedimentary microfacies. The greater the stratigraphic thickness, the higher the initial paleogeomorphology, and the shallower the initial paleowater depth. Based on the stratigraphic thickness of each layer in the Deng 4 Member and the paleowater depth at the beginning and end of the sedimentary period, the subsidence was calculated. The subsidence was calculated as the sedimentary stratigraphic thickness plus the initial sedimentary water depth minus the final sedimentary water depth.

[0112] See Figure 12 Based on regional geological background data and the long-term sea-level change curves proposed by previous researchers, combined with C and O isotope measurements, the sea-level change curve for the numerical simulation work area was determined. (See also...) Figure 13 Based on previous analyses of the depositional water depths of different microfacies in bioherms, the depositional water depths of different microfacies in microbial mounds and shoals were determined. Among them, mound nuclei develop at water depths of 1–10 m, mound wing develop at water depths of 10–15 m, platform develop at water depths of 0–1 m and 15–40 m, and lagoons and slopes develop at water depths >40 m. Thus, the curves of the depositional rate of different microfacies with water depth were obtained.

[0113] The composition and proportion of microfacies in single-well microbial mounds and shoals at different periods were analyzed to determine the deposition rates of different microfacies in microbial mounds and shoals at different periods. Based on the changes in subsidence, deposition rates with water depth, and deposition rates, a forward numerical simulation of the depositional configuration of microbial mounds and shoals in the target layer was performed.

[0114] As an optional but non-limiting implementation, the sedimentary forward modeling numerical simulation of the microbial mound-shoal sedimentary configuration of the target layer to obtain the third evolutionary characteristic analysis results includes, but is not limited to, steps C1-C4:

[0115] Step C1: Perform sedimentary forward numerical simulation on the microbial mound and shoal sedimentary configuration of the target layer to obtain the sedimentary forward numerical simulation results; wherein, the sedimentary forward numerical simulation results include the single-well formation thickness and the development characteristics of microbial mounds and shoals.

[0116] Step C2: Compare the sedimentation forward numerical simulation results with the actual drilling results to determine whether the sedimentation forward numerical simulation accuracy meets the expected simulation accuracy.

[0117] Step C3: Determine whether the evolution results of microbial mound and beach sedimentary configuration obtained from the forward modeling of sedimentation are consistent with the evolution results of microbial mound and beach sedimentary configuration in the actual target layer; the evolution results of microbial mound and beach sedimentary configuration include the planar distribution, stacking pattern, and evolution characteristics of the stacking pattern of microbial mounds and beaches.

[0118] Step C4: If the accuracy of the sedimentary forward modeling numerical simulation does not meet the expected simulation accuracy or the evolution results of the microbial mound and beach sedimentary configuration are inconsistent, the parameters of the sedimentary forward modeling numerical simulation shall be adjusted until they meet the expected simulation accuracy or the evolution results of the microbial mound and beach sedimentary configuration are consistent, and the third evolutionary feature analysis results shall be obtained.

[0119] In this process, the differences between the simulated formation thickness and microbial hill / shoal development characteristics obtained from single-well drilling and the actual drilling in the study area are compared. A good agreement rate indicates high simulation accuracy; a low agreement rate requires returning to steps B1-B7 to adjust parameters until a high degree of agreement is achieved. For example... Figure 14 The results show a high degree of agreement, confirming that the simulation parameters are reasonable and the results are accurate.

[0120] The analysis examines whether the simulated distribution, superposition patterns, and evolutionary characteristics of microfacies in micro-mounds and shoals at different periods are consistent with the results from the actual study area, verifying the rationality of the analysis results in steps A1 and A3. If they are consistent, the above steps are terminated; if there are significant differences, the analysis is adjusted by returning to the sedimentary paleogeomorphology step. Figure 15 as well as Figure 16 The evolution characteristics of microfacies and superposition patterns in microbial mounds and shoals are consistent with the results of previous analyses, verifying that the aforementioned analysis is reasonable.

[0121] S590. Based on the first evolutionary feature analysis results, the second evolutionary feature analysis results, and the third evolutionary feature analysis results, construct the sedimentary configuration model corresponding to the target layer.

[0122] Based on the above analysis results, a development model of microbial mound and beach sedimentary architecture was established. The distribution and evolutionary characteristics of microbial mound and beach sedimentary architecture units and superposition patterns in different periods of the study area were determined, and their formation mechanisms were analyzed. Figure 17 Light Four 1 As the subsurface continues to regress, the available space gradually decreases. In higher topographical areas, the sedimentation rate of the shoals is high, but the available space is limited, resulting in predominantly migrating shoals, with some areas exhibiting superimposed shoals. In lower topographical areas, the sedimentation rate of the shoals is low, and the available space is ample, leading to the development of isolated shoals. (Light 4) 2 And light four 3 During the minor oscillations and marine regression, the accommodation space in the platform margin remains unchanged, and the sedimentation rate of the hills and shoals is high. The rate of increase in accommodation space is comparable to the sedimentation rate of the hills and shoals. The hills and shoals are mainly of the superimposed type, with some migrating hills and shoals developing locally. The sedimentation rate of the hills and shoals in the platform is low, and they are isolated hills and shoals.

[0123] In summary, controlled by sedimentary landforms, hydrodynamic conditions, and the size of the accommodation space, when the sedimentary paleotope is high, the hydrodynamic force is strong, and the sedimentation rate of the hills and shoals is approximately equal to the rate of change of the accommodation space, superimposed hills and shoals are formed; when the sedimentary paleotope is high, the hydrodynamic force is strong, and the sedimentation rate of the hills and shoals is greater than the rate of change of the accommodation space, migrating hills and shoals are formed; and when the sedimentary paleotope is low, the hydrodynamic force is weak, and the sedimentation rate of the hills and shoals is much less than the rate of change of the accommodation space, isolated hills and shoals are formed.

[0124] This invention provides another method for characterizing microbial mound and beach sedimentary configurations. By analogy with geological outcrops in the field, a comprehensive study of the microbial mound and beach sedimentary configurations of underground gas reservoirs is carried out. Combining core, well logging, and seismic data, microbial mound and beach sedimentary configuration units are identified, the overall structural unit stacking patterns are described, and sedimentary evolution characteristics are described. Furthermore, by combining sedimentary forward modeling numerical simulations, the controlling factors of different microbial mound and beach sedimentary configuration unit stacking patterns are explored. This provides a geological basis for the characterization of high-quality reservoirs and connected units, and provides a reference for the sedimentary configuration anatomy of similar carbonate sedimentary bodies.

[0125] Example 3

[0126] Figure 18 This is a schematic diagram of a microbial mound-shoal sedimentary configuration characterization device provided in this embodiment of the invention. The technical solution of this embodiment is applicable to the characterization of microbial mound-shoal sedimentary configurations of carbonate rocks. This device can be implemented by software and / or hardware and is generally integrated into any electronic device with network communication capabilities, including but not limited to: servers, computers, personal digital assistants, etc. Figure 18 As shown, the microbial mound and beach sedimentary configuration characterization device provided in this embodiment may include: a data acquisition module 1810, a stratigraphic tracking module 1820, a sedimentary configuration classification module 1830, a classification sedimentary configuration interpretation module 1840, a superposition pattern feature determination module 1850, and a sedimentary configuration characterization module 1860; wherein,

[0127] The data acquisition module 1810 is used to acquire geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data.

[0128] The stratigraphic tracing module 1820 is used to conduct single-well stratigraphic division and well-to-well stratigraphic correlation using core data and well logging data, to establish a stratigraphic framework and perform seismic stratigraphic tracing.

[0129] The sedimentary configuration classification module 1830 is used to obtain the bioherm development pattern and classify the microbial mound and beach sedimentary configuration based on the bioherm development pattern and field geological outcrop data.

[0130] The graded sedimentary configuration interpretation module 1840 is used to determine the sedimentary configuration characteristics and sedimentary configuration identification marks of different grades of microbial mound and beach sedimentary configuration units, and to perform outcrop interpretation and single-well interpretation of different grades of microbial mound and beach sedimentary configuration units.

[0131] The overlay pattern feature determination module 1850 is used to combine the outcrop interpretation, single-well interpretation and seismic phase axis reflection features to determine the overlay pattern of microbial mound and shoal sedimentary configuration units and to determine the overlay features of different overlay patterns.

[0132] The sedimentary configuration characterization module 1860 is used to analyze the evolution characteristics of microbial mound and shoal sedimentary configurations in the target layer based on sedimentary configuration features and superposition features obtained from field geological outcrop data, 3D seismic data and well logging data, combined with sedimentary forward modeling numerical simulation, and to establish corresponding sedimentary configuration models.

[0133] Based on the above embodiments, optionally, the different levels of microbial mound and beach sedimentary configurations include composite microbial mounds and beaches, single microbial mounds and beaches, and single sedimentary microfacies; the sedimentary configuration characteristics include sedimentary lithology, profile morphology, vertical thickness, and well logging response.

[0134] Based on the above embodiments, optionally, the superposition patterns of the microbial mound and beach sedimentary configuration include superimposed mounds and beaches, migrating mounds and beaches, and isolated mounds and beaches; superposition characteristics include morphological differences, sedimentary environment, lithological assemblage, and seismic in-phase axis reflection characteristics.

[0135] Based on the above embodiments, optionally, the deposition configuration characterization module is specifically used for:

[0136] Based on field geological outcrop data, the first evolutionary characteristic analysis of the microbial mound-shoal sedimentary configuration of the target layer was conducted, and the results of the first evolutionary characteristic analysis were obtained.

[0137] Based on the sedimentary configuration and superposition characteristics obtained from 3D seismic data and well logging data, a second evolutionary feature analysis was conducted on the microbial mound and shoal sedimentary configuration of the target layer, and the results of the second evolutionary feature analysis were obtained.

[0138] A forward modeling numerical simulation of the microbial mound-shoal sedimentary configuration of the target layer was performed to obtain the results of the third evolutionary characteristic analysis.

[0139] Based on the results of the first evolutionary feature analysis, the second evolutionary feature analysis, and the third evolutionary feature analysis, a sedimentary configuration model corresponding to the target layer is constructed.

[0140] Based on the above embodiments, optionally, the deposition configuration characterization module is further specifically used for:

[0141] Based on the sedimentary configuration characteristics of different levels of microbial mound and beach sedimentary configuration units, planar thickness maps of composite microbial mounds and beaches at different periods of the target layer were drawn.

[0142] Cluster analysis was performed on the seismic waveforms of the target layer at different periods. Based on the cluster analysis results of the seismic waveforms of the target layer, the sedimentary paleogeography, and the planar thickness map of the composite microbial mounds and beaches, the planar distribution map of the composite microbial mounds and beaches at different periods was depicted, and the fourth evolutionary characteristic analysis was performed.

[0143] Well-to-well correlation was conducted among different levels of microbial mound-shoal sedimentary morphology units to delineate individual microbial mound-shoals within the composite microbial mound-shoal;

[0144] The superposition patterns of single microbial mounds and beaches in different periods of the target layer were determined, and the fifth evolutionary feature analysis was conducted to identify the evolutionary features.

[0145] Based on the above embodiments, optionally, the deposition configuration characterization module is further specifically used for:

[0146] Determine the preset parameters for the forward numerical simulation of sedimentation; the preset parameters include the size of the plane grid of the numerical simulation area, the simulation time span and step size, sedimentary lithology, geological stratification and corresponding sedimentary time span;

[0147] The initial sedimentary water depth was determined based on the paleogeography of the target layer and the development water depth of different sedimentary microfacies of microbial mounds and shoals.

[0148] The subsidence of the target layer is determined based on the stratigraphic thickness, initial sedimentary water depth, and paleowater depth at the end of the sedimentary period at different times.

[0149] Based on the geological background data of the target layer area, the sea level change curve of the sedimentary forward modeling numerical simulation work area was determined;

[0150] The sedimentary water depth of different sedimentary microfacies in microbial mounds and beaches was determined, and curves showing the variation of different sedimentation rates with water depth were obtained.

[0151] The proportion of microbial mounds and shoals in sedimentary microfacies of a single well at different periods was analyzed to determine the deposition rate of different sedimentary microfacies at different periods.

[0152] Based on the sedimentation amount, the variation curves of different sedimentation rates with water depth, and the sedimentation rate, a forward numerical simulation of the microbial mound and shoal sedimentary configuration of the target layer was conducted.

[0153] Based on the above embodiments, optionally, the deposition configuration characterization module is further specifically used for:

[0154] A forward modeling numerical simulation was performed on the microbial mound and shoal sedimentary configuration of the target layer to obtain the results. The results included the single-well formation thickness and the development characteristics of the microbial mound and shoal.

[0155] The sedimentary forward modeling numerical simulation results are compared with the actual drilling results to determine whether the accuracy of the sedimentary forward modeling numerical simulation meets the expected simulation accuracy.

[0156] Determine whether the evolution results of microbial mound and beach sedimentary configuration obtained from the forward modeling of sedimentation are consistent with the evolution results of microbial mound and beach sedimentary configuration in the actual target layer; the evolution results of microbial mound and beach sedimentary configuration include the planar distribution, superposition pattern, and evolution characteristics of the superposition pattern of microbial mounds and beaches;

[0157] If the accuracy of the sedimentary forward modeling numerical simulation does not meet the expected simulation accuracy or the evolution results of the microbial mound and beach sedimentary configuration are inconsistent, the parameters of the sedimentary forward modeling numerical simulation shall be adjusted until they meet the expected simulation accuracy or the evolution results of the microbial mound and beach sedimentary configuration are consistent, and the third evolutionary characteristic analysis results shall be obtained.

[0158] The microbial mound and beach sedimentary configuration characterization device provided in the embodiments of the present invention can perform the microbial mound and beach sedimentary configuration characterization method provided in any of the embodiments of the present invention, and has the corresponding functions and beneficial effects of performing the microbial mound and beach sedimentary configuration characterization method. For detailed process, please refer to the relevant operations of the microbial mound and beach sedimentary configuration characterization method in the foregoing embodiments.

[0159] Example 4

[0160] Figure 19 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0161] like Figure 19As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0162] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0163] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the microbial mound and beach sedimentary configuration characterization method.

[0164] In some embodiments, the microbial mound and beach sedimentary configuration characterization method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the microbial mound and beach sedimentary configuration characterization method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the microbial mound and beach sedimentary configuration characterization method by any other suitable means (e.g., by means of firmware).

[0165] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0166] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0167] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0168] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0169] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0170] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0171] Example 5

[0172] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the microbial hill and beach sedimentary configuration characterization method provided in any embodiment of this application.

[0173] In implementing the computer program product, computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0174] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0175] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for characterizing the sedimentary architecture of microbial mounds and beaches, characterized in that, The method includes: Acquire geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data; Using core data and well logging data, we carried out single-well stratigraphic division and well-to-well stratigraphic correlation, established a stratigraphic framework and conducted seismic stratigraphic tracing. The development patterns of bioherms were obtained, and the microbial mound and shoal sedimentary configurations were classified based on the bioherm development patterns and field geological outcrop data. The sedimentary configuration characteristics and identification markers of different levels of microbial mound and beach sedimentary configuration units were determined, and outcrop interpretation and single-well interpretation were carried out for different levels of microbial mound and beach sedimentary configuration units; By combining the outcrop interpretation, single-well interpretation, and seismic phase axis reflection characteristics, the superposition pattern of microbial mound and shoal sedimentary morphological units was determined, and the superposition characteristics of different superposition patterns were determined. Based on the sedimentary configuration and superposition characteristics obtained from field geological outcrop data, 3D seismic data and well logging data, combined with sedimentary forward modeling numerical simulation, the evolution characteristics of the microbial mound and shoal sedimentary configuration of the target layer are analyzed, and the corresponding sedimentary configuration model is established.

2. The method according to claim 1, characterized in that, The different levels of microbial mound and beach sedimentary configuration units include composite microbial mounds and beaches, single microbial mounds and beaches, and single sedimentary microfacies; the sedimentary configuration characteristics include sedimentary lithology, profile morphology, vertical thickness, and well logging response.

3. The method according to claim 1, characterized in that, The superposition patterns of the microbial mound-shoal sedimentary configuration units include superimposed mound-shoals, migrating mound-shoals, and isolated mound-shoals; superposition characteristics include morphological differences, sedimentary environments, lithological assemblages, and seismic in-phase axis reflection characteristics.

4. The method according to claim 1, characterized in that, Based on the sedimentary configuration characteristics and superposition characteristics obtained from field geological outcrop data, 3D seismic data, and well logging data, and combined with sedimentary forward modeling numerical simulation, the evolution characteristics of the microbial mound-shoal sedimentary configuration of the target layer are analyzed, and corresponding sedimentary configuration models are established, including: Based on field geological outcrop data, the first evolutionary characteristic analysis of the microbial mound-shoal sedimentary configuration of the target layer was conducted, and the results of the first evolutionary characteristic analysis were obtained. Based on the sedimentary configuration and superposition characteristics obtained from 3D seismic data and well logging data, a second evolutionary feature analysis was conducted on the microbial mound and shoal sedimentary configuration of the target layer, and the results of the second evolutionary feature analysis were obtained. A forward modeling numerical simulation of the microbial mound-shoal sedimentary configuration of the target layer was performed to obtain the results of the third evolutionary characteristic analysis. Based on the results of the first evolutionary feature analysis, the second evolutionary feature analysis, and the third evolutionary feature analysis, a sedimentary configuration model corresponding to the target layer is constructed.

5. The method according to claim 4, characterized in that, The second evolutionary feature analysis of the microbial mound-shoal sedimentary configuration of the target layer is performed based on the sedimentary configuration features and superposition features obtained from 3D seismic data and well logging data, including: Based on the sedimentary configuration characteristics of different levels of microbial mound and beach sedimentary configuration units, planar thickness maps of composite microbial mounds and beaches at different periods of the target layer were drawn. Cluster analysis was performed on the seismic waveforms of the target layer at different periods. Based on the cluster analysis results of the seismic waveforms of the target layer, the sedimentary paleogeography, and the planar thickness map of the composite microbial mounds and shoals, the planar distribution map of the composite microbial mounds and shoals at different periods was depicted, and the fourth evolutionary characteristic analysis was performed. Well-to-well correlation was conducted among different levels of microbial mound-shoal sedimentary morphology units to delineate individual microbial mound-shoals within the composite microbial mound-shoal; The superposition patterns of single microbial mounds and beaches in different periods of the target layer were determined, and the fifth evolutionary feature analysis was conducted to identify the evolutionary features.

6. The method according to claim 4, characterized in that, The sedimentary forward modeling numerical simulation of the microbial mound-shoal sedimentary configuration of the target layer includes: Determine the preset parameters for the forward numerical simulation of sedimentation; the preset parameters include the size of the plane grid of the numerical simulation area, the simulation time span and step size, sedimentary lithology, geological stratification and corresponding sedimentary time span; The initial sedimentary water depth was determined based on the paleogeography of the target layer and the development water depth of different sedimentary microfacies of microbial mounds and shoals. The subsidence of the target layer is determined based on the stratigraphic thickness, initial sedimentary water depth, and paleowater depth at the end of the sedimentary period at different times. Based on the geological background data of the target layer area, the sea level change curve of the sedimentary forward modeling numerical simulation work area was determined; The sedimentary water depth of different sedimentary microfacies in microbial mounds and beaches was determined, and curves showing the variation of different sedimentation rates with water depth were obtained. The proportion of microbial mounds and shoals in sedimentary microfacies of a single well at different periods was analyzed to determine the deposition rate of different sedimentary microfacies at different periods. Based on the sedimentation amount, the variation curves of different sedimentation rates with water depth, and the sedimentation rate, a forward numerical simulation of the microbial mound and shoal sedimentary configuration of the target layer was conducted.

7. The method according to claim 6, characterized in that, The sedimentary forward modeling numerical simulation of the microbial mound-shoal sedimentary configuration of the target layer yielded the third evolutionary characteristic analysis results, including: A forward modeling numerical simulation was performed on the microbial mound and shoal sedimentary configuration of the target layer to obtain the results. The results included the single-well formation thickness and the development characteristics of the microbial mound and shoal. The sedimentary forward modeling numerical simulation results are compared with the actual drilling results to determine whether the accuracy of the sedimentary forward modeling numerical simulation meets the expected simulation accuracy. Determine whether the evolution results of microbial mound and beach sedimentary configuration obtained from the forward modeling of sedimentation are consistent with the evolution results of the actual microbial mound and beach sedimentary configuration in the target layer; the evolution results of the microbial mound and beach sedimentary configuration include the planar distribution, superposition pattern, and evolution characteristics of the superposition pattern of microbial mounds and beaches; If the accuracy of the sedimentary forward modeling numerical simulation does not meet the expected simulation accuracy or the evolution results of the microbial mound and beach sedimentary configuration are inconsistent, the parameters of the sedimentary forward modeling numerical simulation shall be adjusted until they meet the expected simulation accuracy or the evolution results of the microbial mound and beach sedimentary configuration are consistent, and the third evolutionary characteristic analysis results shall be obtained.

8. A device for characterizing microbial mound and beach sedimentary structures, characterized in that, The device includes: The data acquisition module is used to acquire geological background data, 3D seismic data, well logging data, core data, and field geological outcrop data; The stratigraphic tracing module is used to conduct single-well stratigraphic division and well-to-well stratigraphic correlation using core data and well logging data, to establish a stratigraphic framework and perform seismic stratigraphic tracing. The sedimentary configuration classification module is used to obtain bioherm development patterns and classify microbial mound and beach sedimentary configurations based on the bioherm development patterns and field geological outcrop data. The graded sedimentary configuration interpretation module is used to determine the sedimentary configuration characteristics and sedimentary configuration identification markers of different grades of microbial mound and beach sedimentary configuration units, and to perform outcrop interpretation and single-well interpretation of different grades of microbial mound and beach sedimentary configuration units. The overlay pattern feature determination module is used to combine the outcrop interpretation, single-well interpretation and seismic phase axis reflection features to determine the overlay pattern of microbial mound and shoal sedimentary configuration units, and to determine the overlay features of different overlay patterns. The sedimentary configuration characterization module is used to analyze the evolution characteristics of microbial mound and shoal sedimentary configurations in the target layer based on sedimentary configuration features and superposition features obtained from field geological outcrop data, 3D seismic data and well logging data, combined with sedimentary forward modeling numerical simulation, and to establish corresponding sedimentary configuration models.

9. An electronic device, characterized in that, include: One or more processors; Storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the microbial hill and beach sedimentary configuration characterization method according to any one of claims 1-7.

10. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the microbial hill and beach sedimentary configuration characterization method as described in any one of claims 1-7.

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