An exploration target characterization method based on multi-dimensional data integration and fusion

Abstract

The application discloses an exploration target characterization method based on multidimensional data integration and fusion, which comprises the following steps: data collection and analysis, then clearing structural development characteristics of an exploration target area, and establishing a structural geological framework of the research area; with the aid of drilling, logging, mud logging and seismic data of the research area, according to the characteristics of lithological mutation surface, curve change surface and seismic reflection surface, sequence stratigraphic interfaces are identified, sequence stratigraphic interpretation and sequence internal structure analysis are carried out, and a multi-level sequence stratigraphic framework of target layers in the exploration target area is established; under the constraint of the sequence framework, a source system is discriminated, sedimentary microfacies types are identified, a sedimentary facies spatial distribution map is drawn, and a sedimentary development model is reconstructed; under the guidance of the sedimentary microfacies, core, rock, mineral, physical property and geochemical data are used to carry out analysis, and favorable reservoir control factors are determined; with the aid of source-reservoir-cap matching relationship and oil and gas migration and enrichment characteristics, an oil and gas enrichment rule of the exploration target is determined, and finally a favorable exploration target is delineated.

Description

Technical Field

[0001] This invention belongs to the field of seismic exploration technology, specifically relating to a method for characterizing exploration targets based on the integrated fusion of multidimensional data. Background Technology

[0002] As oil and gas exploration extends towards basin centers and deeper layers, predicting favorable exploration targets becomes increasingly challenging. Therefore, establishing a set of effective exploration technologies suitable for deep exploration is of paramount importance. Characterizing exploration targets is a crucial aspect of predicting favorable targets. The development of favorable targets is controlled by multiple factors, including paleogeography under tectonic control during the sedimentary period, as well as background geological conditions such as paleoenvironment, paleosource, and paleosedimentary systems. It is also controlled by subsequent tectonic alteration, diagenetic evolution, and hydrocarbon generation, migration, and enrichment. Therefore, precise characterization and accurate prediction of favorable exploration targets constitute a systematic project, requiring a comprehensive study integrating multiple factors such as structure, sequence stratigraphy, sedimentation, reservoir formation, and hydrocarbon accumulation. Figure 2 As shown.

[0003] However, due to disciplinary differences, in the process of characterizing and predicting favorable exploration targets, each factor is often analyzed separately, without a systematic characterization under an overall geological approach. In particular, as oil and gas exploration develops towards the center of depressions and the middle and deep layers, the exploration difficulty increases, and the factors controlling the exploration targets become more complex, which also increases the difficulty of characterization and prediction. Therefore, in order to accurately characterize favorable exploration targets and improve the success rate of prediction, there is an urgent need for a systematic research system that integrates all factors.

[0004] Therefore, this invention proposes a method for characterizing exploration targets based on integrated research of multi-dimensional data including structure, sequence stratigraphy, sedimentation, reservoir, and hydrocarbon accumulation. Figure 3 As shown. Summary of the Invention

[0005] In order to solve the technical problems existing in the background art, the present invention aims to provide a method for characterizing exploration targets based on the integrated fusion of multi-dimensional data.

[0006] To solve the technical problem, the technical solution of the present invention is as follows:

[0007] A method for characterizing exploration targets based on integrated fusion of multidimensional data, the method comprising:

[0008] Step S101: Collect data required for the characterization and prediction of exploration targets, and filter and classify the data;

[0009] Step S102: Based on the filtered and classified data, conduct detailed structural analysis using seismic data of the study area to determine the structural development characteristics of the exploration target area and establish the structural geological framework of the study area;

[0010] Step S103: Based on the structural geological framework, using drilling, logging, well logging and seismic data of the study area, and according to the characteristics of lithological abrupt change surface, curve change surface and seismic reflection surface, identify sequence stratigraphic interfaces, carry out sequence stratigraphic interpretation and sequence internal structure analysis, and establish a multi-level sequence stratigraphic framework for the target layer of the exploration target area.

[0011] Step S104: Under the constraints of the sequence stratigraphic framework, use core, well, seismic, and geochemical data to determine the provenance system, identify sedimentary microfacies types, compile spatial distribution maps of sedimentary facies, and reconstruct sedimentary development patterns.

[0012] Step S105: Guided by sedimentary microfacies, use core, mineral, physical property, and geochemical data to conduct reservoir diagenesis and physical property analysis, and determine favorable reservoir controlling factors;

[0013] Step S106: By using the matching relationship between source, reservoir and cap, and the characteristics of oil and gas migration and enrichment, establish the oil and gas enrichment patterns of the exploration target, and finally delineate the favorable exploration targets.

[0014] Furthermore, in step S101, the collected seismic data includes: core data, well data, rock and mineral data, physical properties data, geochemical data, and seismic-related multidimensional data.

[0015] Furthermore, the specific steps of step S102 are as follows:

[0016] Conduct structural feature analysis of the exploration target, utilize collected seismic data to carry out detailed structural geological analysis, identify structural combination patterns, classify structural evolution stages, and establish a structural geological framework for the exploration target area.

[0017] Furthermore, the specific steps of step S103 are as follows:

[0018] High-precision sequence stratigraphic framework analysis of the target strata in the exploration target area was conducted. Using well logging and well logging data, the sequence boundaries of single wells were identified based on the characteristics of lithological abrupt changes and curve changes, and a sequence stratigraphic framework of the connected well profiles was established. With the help of collected seismic data, the seismic interfaces were identified based on the seismic reflection characteristics of erosion, overlap, and underlap on the seismic profiles, and fine sequence stratigraphic analysis was carried out. Based on stratigraphic correlation and interpretation closure, a multi-level high-precision sequence stratigraphic framework of the target strata in the exploration target area was established.

[0019] Furthermore, the specific steps of step S104 are as follows:

[0020] Under the constraints of the sequence stratigraphic framework, core, mineral, drilling, seismic, and geochemical data are used to determine the provenance system, identify sedimentary facies types, and compile sequence structural maps, stratigraphic thickness maps, sand body thickness maps, percentage maps, and sedimentary facies evidence maps at all levels. This allows for the analysis of the controlling factors of sedimentary development of exploration targets, the determination of development patterns, and the reconstruction of sedimentary development models.

[0021] Furthermore, the specific steps of step S105 are as follows:

[0022] Guided by sedimentary facies development models, we utilize rock and mineral data, reservoir physical properties, and geochemical data to analyze the reservoir performance and diagenesis of the target reservoir, determine the main controlling factors of reservoir evolution, and identify the development patterns of high-quality reservoirs. Combining tectonic-sequence-sedimentary study data, we use three-dimensional data volumes and drilling data to conduct detailed characterization of the spatial distribution of high-quality reservoirs and delineate favorable exploration targets.

[0023] Furthermore, the specific steps of step S106 are as follows:

[0024] By utilizing the configuration of hydrocarbon accumulation conditions and hydrocarbon migration characteristics, we can establish the hydrocarbon enrichment patterns of exploration targets and further identify favorable exploration targets.

[0025] Furthermore, the method also includes:

[0026] The prediction and selection of exploration targets take into account all controlling factors during the depositional period of the exploration targets, including post-depositional tectonic evolution, reservoir diagenetic modification, hydrocarbon generation and migration from source rocks, and comprehensive analysis and research on organic matching with favorable reservoirs. This effectively improves the accuracy of predicting favorable exploration targets and reduces exploration costs. Its characterization ideas and methods, as well as the predicted targets, further serve the subsequent development and the improvement of development technology.

[0027] Compared with the prior art, the advantages of the present invention are as follows:

[0028] This invention presents a multi-dimensional data integration-based exploration target characterization method. Within a unified geological understanding framework, it integrates multi-factor data from "structure, sequence stratigraphy, sedimentation, reservoir, and hydrocarbon accumulation" to precisely characterize exploration targets. The method is clear in its approach, hierarchical, and progressively in-depth, conforming to the logical thinking of scientific research. Figure 2Furthermore, the research approach of "structure, sequence stratigraphy, sedimentation, reservoir, and hydrocarbon accumulation" is integrated throughout the entire research process of exploration target characterization and prediction, covering all research content of exploration target characterization. It aims to achieve a refined characterization of exploration targets, thereby improving prediction accuracy and reducing exploration costs. This technology provides a research platform for exploration target characterization research. This method can automatically and continuously expand and improve the characterization method of exploration targets as science and technology develop and data becomes more abundant. Fourth, this method is simple, easy to understand, and easy to operate, which helps beginners quickly master the characterization method of exploration targets and quickly carry out the characterization of exploration targets, effectively promoting the prediction of favorable exploration targets. It also helps to promote the theory of exploration target characterization. Attached Figure Description

[0029] Figure 1 , one A flowchart of an exploration target characterization method based on integrated fusion of multidimensional data;

[0030] Figure 2 A diagram showing the causal relationships between multiple factors affecting the exploration target;

[0031] Figure 3 , one A flowchart illustrating the approach to characterizing exploration targets based on integrated fusion of multidimensional data;

[0032] Figure 4 Multi-dimensional data integration and fusion data collection and preparation diagram;

[0033] Figure 5 A diagram illustrating the construction and analysis of multidimensional data integration;

[0034] Figure 6 A multi-dimensional data integrated sequence stratigraphic framework construction and analysis diagram;

[0035] Figure 7 A multi-dimensional data integrated sedimentation system analysis diagram;

[0036] Figure 8 A diagram of favorable reservoir characterization and prediction analysis based on the integrated fusion of multi-dimensional data;

[0037] Figure 9 A multi-dimensional data integration and fusion-based analysis diagram for optimal exploration target selection. Detailed Implementation

[0038] The specific implementation of the present invention is described below with reference to embodiments:

[0039] It should be noted that the structures, proportions, sizes, etc. shown in this specification are only used to complement the content disclosed in the specification for those skilled in the art to understand and read, and are not intended to limit the conditions under which the present invention can be implemented. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0040] Furthermore, the terms such as "upper," "lower," "left," "right," "middle," and "one" used in this specification are merely for clarity of description and are not intended to limit the scope of the invention. Any changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of the invention.

[0041] Example 1:

[0042] This invention provides a method for characterizing exploration targets based on the integrated fusion of multidimensional data, comprising the following steps: data collection and analysis; conducting detailed structural analysis using seismic data to establish a structural geological framework for the exploration target area; establishing a multi-level sequence stratigraphic framework for the target layer based on characteristics such as lithological abrupt changes, curve variations, and seismic reflection surfaces; under the constraints of the sequence stratigraphic framework, using core, well, seismic, and geochemical data to determine the provenance system, identify sedimentary facies types, compile spatial distribution maps of sedimentary facies, and reconstruct sedimentary development patterns; guided by sedimentary microfacies, using rock, mineral, physical property, and geochemical data to conduct reservoir characteristic analysis and clarify the controlling factors of reservoir development; using well and seismic data to conduct detailed characterization of exploration targets; and using hydrocarbon migration and enrichment patterns to ultimately delineate favorable exploration targets. This characterization method emphasizes conducting integrated research on multidimensional data from "structure-sequence stratigraphy-sedimentation-reservoir-accumulation" within a unified geological research framework, ultimately delineating exploration targets and achieving detailed characterization and accurate prediction of exploration targets.

[0043] Preferably, the data collected in step (1) includes multidimensional data related to core samples, well data, rock and mineral data, physical properties, geochemistry, and seismic data, such as... Figure 4 As shown.

[0044] Preferably, the specific steps of step (2) are as follows: Conduct structural feature analysis of the exploration target; utilize seismic data to conduct detailed structural geological analysis; identify structural combination patterns; divide the structural evolution stages; and establish the structural geological framework of the exploration target area, such as... Figure 5 As shown.

[0045] Preferably, the specific steps of step (3) are as follows: Conduct high-precision sequence stratigraphic framework analysis of the target layer in the exploration target area; using data such as well logging and well logging, identify single-well sequence interfaces based on lithological abrupt change surfaces and curve variation surface characteristics, and establish a sequence stratigraphic framework for the connected well profiles; using seismic data, identify seismic interfaces based on seismic reflection characteristics such as erosion, overlap, and underlap on seismic profiles, conduct detailed sequence stratigraphic analysis, and establish a multi-level high-precision sequence stratigraphic framework for the target layer in the exploration target area based on stratigraphic correlation and interpretation closure, such as... Figure 6 As shown.

[0046] Preferably, the specific steps of step (4) are as follows: Under the constraints of the sequence stratigraphic framework, using data such as core samples, mineral data, drilling data, seismic data, and geochemical data, determine the provenance system, identify sedimentary facies types, and compile various levels of sequence structural maps, stratigraphic thickness maps, sand body thickness maps, percentage maps, sedimentary facies evidence maps, etc., to analyze the sedimentary development control factors of the exploration target, summarize development patterns, and reconstruct sedimentary development models, such as... Figure 7 As shown.

[0047] Preferably, the specific steps of step (5) are as follows: Under the guidance of sedimentary facies development models, using data on rock and mineral properties, reservoir physical properties, and geochemistry, analyze the reservoir performance of exploration targets, explore the main controlling factors of reservoir evolution, and summarize the development law of high-quality reservoirs; combining the results of tectonic-sequence-sedimentary studies, using three-dimensional data volumes and drilling data, conduct detailed characterization of the spatial distribution of high-quality reservoirs, and delineate favorable exploration targets, such as... Figure 8 As shown.

[0048] Preferably, the specific steps of step (6) are as follows: by utilizing the configuration relationship of hydrocarbon accumulation conditions and hydrocarbon migration characteristics, establish the hydrocarbon enrichment pattern of the exploration target, and further identify favorable exploration targets, such as... Figure 9 As shown.

[0049] Preferably, the method further includes the following steps: prediction and selection of exploration targets, which integrates all controlling factors during the deposition period of the exploration targets, as well as the comprehensive analysis and research on post-deposition tectonic evolution, reservoir diagenetic modification, hydrocarbon generation and migration of source rocks, and organic matching with favorable reservoirs. This effectively improves the prediction accuracy of favorable exploration targets and reduces exploration costs. Its characterization ideas and methods, as well as the predicted targets, can further serve the later development and the improvement of development technology.

[0050] Example 2:

[0051] like Figure 1 The flowchart shown is a method for characterizing exploration targets based on integrated fusion of multi-dimensional data, according to the present invention. Figure 2 It refers to the causal relationships between the controlled factors of the exploration target. Figure 3To efficiently locate favorable exploration targets, an integrated research approach combining "structure-sequence stratigraphy-sedimentation-reservoir-accumulation-target" is adopted, which includes the following steps:

[0052] Step 101, Data Collection and Analysis: Collect multidimensional data related to core samples, well data, rock and mineral data, physical properties, geochemistry, and seismic data from the Paleogene strata in the Qikou Depression, and filter and classify the data.

[0053] Figure 4 It is to better achieve the integration and fusion of multiple factors and the collection of multi-dimensional data;

[0054] Step 102: Collect seismic data of the study area, conduct detailed structural geological analysis based on seismic reflection characteristics, identify structural combination patterns, divide the structural evolution stages, and establish a structural geological framework for the exploration target area.

[0055] Figure 5 This refers to using seismic data to conduct tectonic interpretation, identify tectonic assemblages, and reconstruct paleogeography for sedimentary research.

[0056] Step 103: Using drilling, logging, well logging and seismic data in the study area, identify sequence stratigraphic interfaces and analyze internal structure based on characteristics such as lithological abrupt change surfaces, curve change surfaces and seismic reflection surfaces, and establish the sequence stratigraphic framework of the target layer in the exploration target area.

[0057] Figure 6 It refers to the use of drilling, logging, and seismic data to identify sequence boundaries, track and interpret them throughout the entire area, and finally establish a sequence stratigraphic framework for the target layer in the exploration target area.

[0058] Step 104: Under the constraints of the sequence stratigraphic framework, use core, well, seismic, and geochemical data to determine the provenance system, identify sedimentary microfacies types, compile spatial distribution maps of sedimentary facies, and reconstruct sedimentary development patterns.

[0059] Figure 7 It refers to, on the basis of restoring and establishing the paleogeographic background of the sedimentary period, sorting out the ancient source-channel-sink system, identifying sedimentary microfacies types from multiple perspectives of "point, line, surface, volume and time", analyzing the spatial distribution law of sedimentary facies, summarizing the controlling factors of sedimentary facies development, spatial distribution map, and reconstructing the sedimentary development model;

[0060] Step 105: Guided by sedimentary microfacies, use core, rock and mineral, physical property, and geochemical data to conduct reservoir diagenesis and physical property analysis, identify favorable reservoir controlling factors, and predict the spatial distribution of favorable reservoirs.

[0061] Figure 8It refers to conducting petrological analysis of reservoirs, identifying reservoir pore structure types, reservoir property development, diagenetic evolution, effective reservoir space control factors and their spatial distribution patterns under the guidance of sedimentary microfacies and with the help of microscopic observation and various test data, and to finely characterize effective reservoirs, so as to achieve fine characterization of favorable reservoirs and predict the spatial distribution of favorable reservoirs.

[0062] Step 106: Based on the structural-sequence-sedimentary-reservoir study, analyze the matching relationship between source, reservoir and caprock, hydrocarbon migration and enrichment characteristics, establish the hydrocarbon enrichment patterns of the exploration targets, and finally delineate favorable exploration targets.

[0063] Figure 9 It refers to the process of comprehensively studying structure, sequence stratigraphy, sedimentation, and reservoir, and by leveraging the matching relationship between source, reservoir, and caprock, as well as the characteristics of hydrocarbon migration and enrichment, to identify the controlling factors of hydrocarbon enrichment, summarize the hydrocarbon enrichment patterns in the target exploration area, and ultimately select and lock in favorable exploration targets.

[0064] The preferred embodiments of the present invention have been described in detail above. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

[0065] Many other changes and modifications can be made without departing from the concept and scope of this invention. It should be understood that this invention is not limited to the specific embodiments, and the scope of this invention is defined by the appended claims.

Claims

1. A method for characterizing exploration targets based on integrated fusion of multidimensional data, characterized in that, The method includes: Step S101: Collect data required for the characterization and prediction of exploration targets, and filter and classify the data; Step S102: Based on the filtered and classified data, conduct detailed structural analysis using seismic data of the study area to determine the structural development characteristics of the exploration target area and establish the structural geological framework of the study area; Step S103: Based on the structural geological framework, using drilling, logging, well logging and seismic data of the study area, and according to the characteristics of lithological abrupt change surface, curve change surface and seismic reflection surface, identify sequence stratigraphic interfaces, carry out sequence stratigraphic interpretation and sequence internal structure analysis, and establish a multi-level sequence stratigraphic framework for the target layer of the exploration target area. Step S104: Under the constraints of the sequence stratigraphic framework, use core, well, seismic, and geochemical data to determine the provenance system, identify sedimentary microfacies types, compile spatial distribution maps of sedimentary facies, and reconstruct sedimentary development patterns. Step S105: Guided by sedimentary microfacies, use core, mineral, physical property, and geochemical data to conduct reservoir diagenesis and physical property analysis, and determine favorable reservoir controlling factors; Step S106: By using the matching relationship between source, reservoir and cap, and the characteristics of oil and gas migration and enrichment, establish the oil and gas enrichment patterns of the exploration target, and finally delineate the favorable exploration targets; The specific steps of step S103 are as follows: High-precision sequence stratigraphic framework analysis of the target strata in the exploration target area will be conducted. Using well logging and well logging data, the sequence boundaries of single wells will be identified based on the characteristics of lithological abrupt change surfaces and curve change surfaces, and a sequence stratigraphic framework of the connected well profiles will be established. With the help of collected seismic data, the seismic interfaces will be identified based on the seismic reflection characteristics of erosion, overlap, and underlap on the seismic profiles, and fine sequence stratigraphic analysis will be carried out. Based on stratigraphic correlation and interpretation closure, a multi-level high-precision sequence stratigraphic framework of the target strata in the exploration target area will be established. The specific steps of step S104 are as follows: Under the constraints of the sequence stratigraphic framework, core, mineral, drilling, seismic, and geochemical data are used to determine the provenance system, identify sedimentary facies types, and compile sequence structural maps, stratigraphic thickness maps, sand body thickness maps, percentage maps, and sedimentary facies evidence maps at all levels. This allows for the analysis of the controlling factors of sedimentary development of exploration targets, the determination of development patterns, and the reconstruction of sedimentary development models.

2. The exploration target characterization method based on multi-dimensional data fusion according to claim 1, characterized in that, In step S101, the collected seismic data includes: core data, well data, rock and mineral data, physical properties data, geochemistry data, and earthquake-related multidimensional data.

3. The exploration target characterization method based on multi-dimensional data integration according to claim 1, characterized in that, The specific steps of step S102 are as follows: Conduct structural feature analysis of the exploration target, utilize collected seismic data to carry out detailed structural geological analysis, identify structural combination patterns, classify structural evolution stages, and establish a structural geological framework for the exploration target area.

4. The exploration target characterization method based on multi-dimensional data integration according to claim 1, characterized in that, The specific steps of step S105 are as follows: Guided by sedimentary facies development models, we utilize rock and mineral data, reservoir physical properties, and geochemical data to analyze the reservoir performance and diagenesis of the target reservoir, determine the main controlling factors of reservoir evolution, and identify the development patterns of high-quality reservoirs. Combining tectonic-sequence-sedimentary study data, we use three-dimensional data volumes and drilling data to conduct detailed characterization of the spatial distribution of high-quality reservoirs and delineate favorable exploration targets.

5. The exploration target characterization method based on multi-dimensional data integration according to claim 1, characterized in that, The specific steps of step S106 are as follows: By utilizing the configuration of hydrocarbon accumulation conditions and hydrocarbon migration characteristics, we can establish the hydrocarbon enrichment patterns of exploration targets and further identify favorable exploration targets.

6. The exploration target characterization method based on multi-dimensional data integration according to claim 1, characterized in that, The method further includes: The prediction and selection of exploration targets take into account all controlling factors during the depositional period of the exploration targets, including post-depositional tectonic evolution, reservoir diagenetic modification, hydrocarbon generation and migration from source rocks, and comprehensive analysis and research on organic matching with favorable reservoirs. This effectively improves the accuracy of predicting favorable exploration targets and reduces exploration costs. Its characterization ideas and methods, as well as the predicted targets, further serve the subsequent development and the improvement of development technology.

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