Weak strike-slip breaking control reservoir identification method and device, electronic equipment and medium

Abstract

The invention discloses a weak strike-slip control reservoir identification method and device, electronic equipment and a medium. The method comprises the following steps: carrying out seismic fine characterization on weak strike-slip fracture; carrying out seismic fine characterization on the weak strike-slip fault control reservoir; performing classification prediction on the weak strike-slip fault control reservoir; and quantitative carving is conducted on the weak strike-slip fracture-control fracture-cavity reservoir body, and reservoir recognition is achieved. According to the method, background noise can be suppressed, the fault control reservoir identification precision is improved, a powerful basis is provided for well spacing, and the risk of oil-gas exploration is reduced.

Description

Technical Field

[0001] The present invention relates to the field of oil and gas exploration and development, and more specifically, to a method, device, electronic equipment and medium for identifying a weak strike-slip fault-controlled reservoir. Background Art

[0002] At present, it has been recognized in exploration that fault-controlled fracture-cave gas reservoirs are a series of karst gas reservoirs distributed along strike-slip fault zones, which are formed by vertical filling of oil and gas after the multi-stage active strike-slip fault zones are transformed into fracture-cave reservoirs by atmospheric leaching and dissolution and deep acidic fluid dissolution. In the early stage, based on the successful practice of fault-controlled oil and gas exploration, it is believed that the level of strike-slip faults controls the development of reservoirs and the scale of oil and gas enrichment, and has the characteristics of large oil reservoirs with strong faults and small oil reservoirs with weak faults. Compared with the fault-controlled fracture-cave oil reservoirs in the Tarim Basin, the Sichuan Basin has more source rocks and target layers, and the fault transport effect is stronger, but the scale of faults is smaller and the development of fault-controlled reservoirs is weaker, which is different from the cave-type, pore-type and fracture-type reservoirs controlled by strong strike-slip faults in the Tarim Basin. The development degree and scale of weak strike-slip fault karst reservoirs in the Sichuan Basin are relatively small. Affected by the quality of seismic acquisition, the seismic response characteristics of the reservoirs are unclear, which seriously affects the strike-slip fault oil and gas exploration in the Sichuan Basin. Therefore, further improving the prediction accuracy of fault-controlled reservoirs of weak strike-slip faults and accurately characterizing the structural characteristics of reservoir space have become the key to the exploration and evaluation of fault-controlled gas reservoirs in the Sichuan Basin.

[0003] In recent years, research related to fault-controlled reservoir prediction has mainly focused on the detection of strong fault reservoir contours, internal structure characterization, and characterization methods. The characteristics and genesis of fault-controlled reservoirs determine that the reservoir development characteristics of different levels of strike-slip faults and the proportion of various types of reservoirs are quite different. Since the seismic main frequency, seismic resolution, and seismic response intensity of pores and fractures are weaker than those of caves, the reservoir prediction method for strong strike-slip faults may not be applicable to weak strike-slip faults. The seismic reflection characteristics of fault-controlled fracture-cave reservoirs in the Sichuan Basin are often the comprehensive response of caves, pores, fractures, and matrix surrounding rocks. The prediction of fault-controlled reservoirs should start with strengthening the response of different reservoirs to improve the matching of seismic data and reservoir prediction methods, improve the prediction accuracy of various reservoirs, and dissect the effective storage space. The fault-controlled reservoirs of weak strike-slip faults in the central, southern, and western Sichuan Basin are affected by deep burial and the quality of seismic data. The reservoir response characteristics are unclear, and fault-controlled oil and gas exploration is extremely difficult. Since the seismic reflection characteristics of fault-controlled fracture-cavity reservoirs are often the comprehensive responses of caves, pores, fractures and matrix surrounding rocks, the prediction of fault-controlled reservoirs should start with strengthening the responses of different reservoirs to improve the matching between seismic data and reservoir prediction methods, so as to improve the prediction accuracy of various types of reservoirs. The existing technology does not make a distinction.

[0004] Therefore, it is necessary to develop a method, device, electronic equipment and medium for identifying weak strike-slip fault-controlled reservoirs.

[0005] The information disclosed in the background technology section of the present invention is only intended to deepen the understanding of the general background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention proposes a method, device, electronic equipment and medium for identifying weak strike-slip fault-controlled reservoirs, which can suppress background noise, improve the accuracy of fault-controlled reservoir identification, provide a strong basis for well layout, and reduce the risk of oil and gas exploration.

[0007] In a first aspect, an embodiment of the present disclosure provides a method for identifying a weak strike-slip fault-controlled reservoir, comprising:

[0008] Conduct fine seismic characterization on weak strike-slip faults;

[0009] Conduct fine seismic characterization of weak strike-slip fault-controlled reservoirs;

[0010] Carry out classification prediction for the weak strike-slip fault-controlled reservoir;

[0011] Quantitative carving is performed on weak strike-slip fault-controlled fracture-cavity reservoirs to achieve reservoir identification.

[0012] Preferably, performing fine seismic characterization on weak strike-slip faults includes:

[0013] Carry out enhanced interpretation processing of seismic response characteristics of weak strike-slip faults, and improve the response characteristics of seismic data of weak strike-slip faults through structural guidance filtering, dip guidance filtering, and seismic frequency division and high-frequency processing;

[0014] The fault attributes are determined on the processed seismic data volume, and the three-dimensional spatial distribution characteristics of weak strike-slip faults are precisely characterized.

[0015] Preferably, the fracture attributes include coherence attribute, AFE attribute, curvature attribute, maximum likelihood attribute, and ant attribute.

[0016] Preferably, the fine seismic characterization of weak strike-slip fault-controlled reservoirs includes:

[0017] The seismic reflection characteristics of weak strike-slip fault-controlled fracture-cave reservoirs are the comprehensive responses of caves, pores, fractures and matrix surrounding rocks. The prediction of fault-controlled reservoirs starts from strengthening the responses of different reservoirs to improve the matching of seismic data and reservoir prediction methods, and improve the prediction accuracy of various reservoirs.

[0018] The response strength of fractured reservoirs is improved through anisotropic filtering, and the background energy is stripped and noise is suppressed through waveform component reconstruction and dip filtering, thereby improving the seismic response strength of cave and hole reservoirs.

[0019] Preferably, the reservoir types of the fault-controlled fracture-vuggy reservoir include cave type, hole type and fracture type.

[0020] Preferably, the classification prediction for the weak strike-slip fault-controlled reservoir includes:

[0021] The seismic data volume is processed by anisotropic filtering to determine the sensitive attributes of fracture reservoirs, and the coherent enhancement attributes are selected to improve the accuracy of fracture reservoir identification;

[0022] The sensitive attributes of cave and vuggy reservoirs are determined by using seismic data after waveform component reconstruction and dip filtering. The cave reservoirs are described by sweet spot attributes, and the vuggy reservoirs are characterized by amplitude curvature attributes.

[0023] Preferably, quantitative carving of weak strike-slip fault-controlled fracture-cavity reservoirs includes:

[0024] The drilling and logging data are used to calibrate the sweet spot attribute threshold, amplitude curvature threshold and coherence enhancement attribute threshold;

[0025] Use the drilling curve to calibrate the emptying point to calibrate the cave reservoir, use the drilling and logging curve mutation points to calibrate the amplitude curvature to characterize the hole-type reservoir, and use the logging curve to calibrate the coherence enhancement to characterize the fracture-type reservoir;

[0026] According to the calibration results, the three-dimensional fusion carving of cave-type, hole-type and fracture-type reservoirs is carried out.

[0027] In a second aspect, the present disclosure also provides a device for identifying a weak strike-slip fault-controlled reservoir, comprising:

[0028] Fault fine characterization module, for fine seismic characterization of weak strike-slip faults;

[0029] Reservoir fine characterization module, for fine seismic characterization of weak strike-slip fault-controlled reservoirs;

[0030] A classification prediction module, for performing classification prediction on the weak strike-slip fault-controlled reservoir;

[0031] The reservoir identification module performs quantitative carving on weak strike-slip fault-controlled fracture-cavity reservoirs to achieve reservoir identification.

[0032] Preferably, performing fine seismic characterization on weak strike-slip faults includes:

[0033] Carry out enhanced interpretation processing of seismic response characteristics of weak strike-slip faults, and improve the response characteristics of seismic data of weak strike-slip faults through structural guidance filtering, dip guidance filtering, and seismic frequency division and high-frequency processing;

[0034] The fault attributes are determined on the processed seismic data volume, and the three-dimensional spatial distribution characteristics of weak strike-slip faults are precisely characterized.

[0035] Preferably, the fracture attributes include coherence attribute, AFE attribute, curvature attribute, maximum likelihood attribute, and ant attribute.

[0036] Preferably, the fine seismic characterization of weak strike-slip fault-controlled reservoirs includes:

[0037] The seismic reflection characteristics of weak strike-slip fault-controlled fracture-cave reservoirs are the comprehensive responses of caves, pores, fractures and matrix surrounding rocks. The prediction of fault-controlled reservoirs starts from strengthening the responses of different reservoirs to improve the matching of seismic data and reservoir prediction methods, and improve the prediction accuracy of various reservoirs.

[0038] The response strength of fractured reservoirs is improved through anisotropic filtering, and the background energy is stripped and noise is suppressed through waveform component reconstruction and dip filtering, thereby improving the seismic response strength of cave and hole reservoirs.

[0039] Preferably, the reservoir types of the fault-controlled fracture-vuggy reservoir include cave type, hole type and fracture type.

[0040] Preferably, the classification prediction for the weak strike-slip fault-controlled reservoir includes:

[0041] The seismic data volume is processed by anisotropic filtering to determine the sensitive attributes of fracture reservoirs, and the coherent enhancement attributes are selected to improve the accuracy of fracture reservoir identification;

[0042] The sensitive attributes of cave and vuggy reservoirs are determined by using seismic data after waveform component reconstruction and dip filtering. The cave reservoirs are described by sweet spot attributes, and the vuggy reservoirs are characterized by amplitude curvature attributes.

[0043] Preferably, quantitative carving of weak strike-slip fault-controlled fracture-cavity reservoirs includes:

[0044] The drilling and logging data are used to calibrate the sweet spot attribute threshold, amplitude curvature threshold and coherence enhancement attribute threshold;

[0045] Use the drilling curve to calibrate the emptying point to calibrate the cave reservoir, use the drilling and logging curve mutation points to calibrate the amplitude curvature to characterize the hole-type reservoir, and use the logging curve to calibrate the coherence enhancement to characterize the fracture-type reservoir;

[0046] According to the calibration results, the three-dimensional fusion carving of cave-type, hole-type and fracture-type reservoirs is carried out.

[0047] In a third aspect, an embodiment of the present disclosure further provides an electronic device, the electronic device comprising:

[0048] A memory storing executable instructions;

[0049] A processor runs the executable instructions in the memory to implement the weak strike-slip fault-controlled reservoir identification method.

[0050] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method for identifying weak strike-slip fault-controlled reservoirs is implemented.

[0051] Its beneficial effects are:

[0052] The present invention starts with the classification and interpretation of fault-controlled reservoirs, strengthens the seismic response characteristics of different types of reservoirs, and then uses attribute optimization, quantitative carving and other means to perform fine reservoir prediction. Compared with the existing technical methods, it can suppress background noise, improve the accuracy of fault-controlled reservoir identification, provide a strong basis for well layout, and reduce the risk of oil and gas exploration.

[0053] The methods and apparatus of the present invention have other features and advantages that will be apparent from, or will be described in detail in, the accompanying drawings and subsequent detailed descriptions incorporated herein, which together serve to explain the specific principles of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The above and other objects, features and advantages of the present invention will become more apparent through a more detailed description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, wherein like reference numerals generally represent like components throughout the exemplary embodiments of the present invention.

[0055] Figure 1 A flow chart showing the steps of a method for identifying a weak strike-slip fault-controlled reservoir according to an embodiment of the present invention.

[0056] Figure 2a and Figure 2b Schematic diagrams showing the comparison before and after the fracture reservoir characteristic enhancement process according to an embodiment of the present invention are shown respectively.

[0057] Figure 3a-3c Schematic diagrams showing the comparison of cave and hole reservoir enhancement treatment before and after according to an embodiment of the present invention are shown respectively. Figure 3a The unprocessed cross section is shown. Figure 3b shows the waveform component reconstruction profile, Figure 3c The dip filter profile is shown.

[0058] Figure 4 A block diagram of a device for identifying a weak strike-slip fault-controlled reservoir according to an embodiment of the present invention is shown.

[0059] Description of reference numerals:

[0060] 201. Fault fine characterization module; 202. Reservoir fine characterization module; 203. Classification prediction module; 204. Reservoir identification module. DETAILED DESCRIPTION

[0061] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0062] The present invention provides a method for identifying a weak strike-slip fault-controlled reservoir, comprising:

[0063] Conduct fine seismic characterization on weak strike-slip faults;

[0064] Conduct fine seismic characterization of weak strike-slip fault-controlled reservoirs;

[0065] Classify and predict weak strike-slip fault-controlled reservoirs;

[0066] Quantitative carving is performed on weak strike-slip fault-controlled fracture-cavity reservoirs to achieve reservoir identification.

[0067] In one example, fine seismic characterization of a weak strike-slip fault involves:

[0068] Carry out enhanced interpretation processing of seismic response characteristics of weak strike-slip faults, and improve the response characteristics of seismic data of weak strike-slip faults through structural guidance filtering, dip guidance filtering, and seismic frequency division and high-frequency processing;

[0069] The fault attributes are determined on the processed seismic data volume, and the three-dimensional spatial distribution characteristics of weak strike-slip faults are precisely characterized.

[0070] In one example, the fracture attributes include a coherence attribute, an AFE attribute, a curvature attribute, a maximum likelihood attribute, and an ant attribute.

[0071] In one example, detailed seismic characterization of a weak strike-slip fault-controlled reservoir includes:

[0072] The seismic reflection characteristics of weak strike-slip fault-controlled fracture-cave reservoirs are the comprehensive responses of caves, pores, fractures and matrix surrounding rocks. The prediction of fault-controlled reservoirs starts from strengthening the responses of different reservoirs to improve the matching of seismic data and reservoir prediction methods, and improve the prediction accuracy of various reservoirs.

[0073] The response strength of fractured reservoirs is improved through anisotropic filtering, and the background energy is stripped and noise is suppressed through waveform component reconstruction and dip filtering, thereby improving the seismic response strength of cave and hole reservoirs.

[0074] In one example, the reservoir types of the fault-controlled fracture-vuggy reservoir include cave type, hole type, and fracture type.

[0075] In one example, classification prediction for weak strike-slip fault-controlled reservoirs includes:

[0076] The seismic data volume is processed by anisotropic filtering to determine the sensitive attributes of fracture reservoirs, and the coherent enhancement attributes are selected to improve the accuracy of fracture reservoir identification;

[0077] The sensitive attributes of cave and vuggy reservoirs are determined by using seismic data after waveform component reconstruction and dip filtering. The cave reservoirs are described by sweet spot attributes, and the vuggy reservoirs are characterized by amplitude curvature attributes.

[0078] In one example, quantitative carving of weak strike-slip fault-controlled fracture-cavity reservoirs includes:

[0079] The drilling and logging data are used to calibrate the sweet spot attribute threshold, amplitude curvature threshold and coherence enhancement attribute threshold;

[0080] Use the drilling curve to calibrate the emptying point to calibrate the cave reservoir, use the drilling and logging curve mutation points to calibrate the amplitude curvature to characterize the hole-type reservoir, and use the logging curve to calibrate the coherence enhancement to characterize the fracture-type reservoir;

[0081] According to the calibration results, the three-dimensional fusion carving of cave-type, hole-type and fracture-type reservoirs is carried out.

[0082] Specifically, fine characterization of weak strike-slip fault seismic: Enhanced interpretative processing of weak strike-slip fault seismic response characteristics is carried out, and the response characteristics of weak strike-slip fault seismic data are improved through processing methods such as structure-guided filtering, dip-guided filtering, and seismic frequency division and high frequency. Fault attribute optimization is performed on the processed seismic data volume, and coherence attributes, AFE attributes, curvature attributes, maximum likelihood attributes, ant attributes, etc. are used to finely characterize the three-dimensional spatial distribution characteristics of weak strike-slip faults.

[0083] Detailed seismic characterization of weak strike-slip fault-controlled reservoirs: The reservoir types of fault-controlled fracture-vuggy reservoirs are roughly divided into cave type, pore type, and fracture type. The seismic reflection characteristics of weak strike-slip fault-controlled fracture-vuggy reservoirs are often the comprehensive response of caves, pores, fractures and matrix surrounding rocks. The prediction of fault-controlled reservoirs should start with strengthening the responses of different reservoirs to improve the matching between seismic data and reservoir prediction methods, so as to improve the prediction accuracy of various reservoirs. The response intensity of fracture-type reservoirs can be improved by using anisotropic filtering processing, and waveform component reconstruction and dip filtering can be used to strip background energy and suppress noise, so as to improve the seismic response intensity of cave and pore reservoirs.

[0084] Classification prediction of weak strike-slip fault-controlled reservoirs: Use anisotropic filtering to process seismic data volumes, optimize sensitive attributes of fracture reservoirs, and use coherent enhancement attributes to improve the accuracy of fracture reservoir identification; use seismic data after waveform component reconstruction and dip filtering to optimize sensitive attributes of cave and vug-type reservoirs, use sweet spot attributes to describe cave reservoirs, and use amplitude curvature attributes to characterize vug-type reservoirs.

[0085] Quantitative carving of weak strike-slip fault-controlled reservoirs: Drilling and logging data are used to calibrate the sweet spot attribute threshold, amplitude curvature threshold, and coherence enhancement attribute threshold. The cave reservoir is calibrated using the emptying point of the drilling curve, the amplitude curvature is calibrated using the mutation point of the drilling and logging curves to characterize the vug-type reservoir, and the coherence enhancement is calibrated using the logging curve to characterize the fracture-type reservoir. Based on the quantitative calibration results of each, the three-dimensional fusion carving of cave, vug, and fracture reservoirs is performed.

[0086] The present invention also provides a weak strike-slip fault-controlled reservoir identification device, comprising:

[0087] Fault fine characterization module, for fine seismic characterization of weak strike-slip faults;

[0088] Reservoir fine characterization module, for fine seismic characterization of weak strike-slip fault-controlled reservoirs;

[0089] Classification prediction module, which performs classification prediction on weak strike-slip fault-controlled reservoirs;

[0090] The reservoir identification module performs quantitative carving on weak strike-slip fault-controlled fracture-cavity reservoirs to achieve reservoir identification.

[0091] In one example, fine seismic characterization of a weak strike-slip fault involves:

[0092] Carry out enhanced interpretation processing of seismic response characteristics of weak strike-slip faults, and improve the response characteristics of seismic data of weak strike-slip faults through structural guidance filtering, dip guidance filtering, and seismic frequency division and high-frequency processing;

[0093] The fault attributes are determined on the processed seismic data volume, and the three-dimensional spatial distribution characteristics of weak strike-slip faults are precisely characterized.

[0094] In one example, the fracture attributes include a coherence attribute, an AFE attribute, a curvature attribute, a maximum likelihood attribute, and an ant attribute.

[0095] In one example, detailed seismic characterization of a weak strike-slip fault-controlled reservoir includes:

[0096] The response strength of fractured reservoirs is improved through anisotropic filtering, and the background energy is stripped and noise is suppressed through waveform component reconstruction and dip filtering, thereby improving the seismic response strength of cave and hole reservoirs.

[0097] In one example, the reservoir types of the fault-controlled fracture-vuggy reservoir include cave type, hole type, and fracture type.

[0098] In one example, classification prediction for weak strike-slip fault-controlled reservoirs includes:

[0099] The seismic reflection characteristics of weak strike-slip fault-controlled fracture-cave reservoirs are the comprehensive responses of caves, pores, fractures and matrix surrounding rocks. The prediction of fault-controlled reservoirs starts from strengthening the responses of different reservoirs to improve the matching of seismic data and reservoir prediction methods, and improve the prediction accuracy of various reservoirs.

[0100] The seismic data volume is processed by anisotropic filtering to determine the sensitive attributes of fracture reservoirs, and the coherent enhancement attributes are selected to improve the accuracy of fracture reservoir identification;

[0101] The sensitive attributes of cave and vuggy reservoirs are determined by using seismic data after waveform component reconstruction and dip filtering. The cave reservoirs are described by sweet spot attributes, and the vuggy reservoirs are characterized by amplitude curvature attributes.

[0102] In one example, quantitative carving of weak strike-slip fault-controlled fracture-cavity reservoirs includes:

[0103] The drilling and logging data are used to calibrate the sweet spot attribute threshold, amplitude curvature threshold and coherence enhancement attribute threshold;

[0104] Use the drilling curve to calibrate the emptying point to calibrate the cave reservoir, use the drilling and logging curve mutation points to calibrate the amplitude curvature to characterize the hole-type reservoir, and use the logging curve to calibrate the coherence enhancement to characterize the fracture-type reservoir;

[0105] According to the calibration results, the three-dimensional fusion carving of cave-type, hole-type and fracture-type reservoirs is carried out.

[0106] Specifically, fine characterization of weak strike-slip fault seismic: Enhanced interpretative processing of weak strike-slip fault seismic response characteristics is carried out, and the response characteristics of weak strike-slip fault seismic data are improved through processing methods such as structure-guided filtering, dip-guided filtering, and seismic frequency division and high frequency. Fault attribute optimization is performed on the processed seismic data volume, and coherence attributes, AFE attributes, curvature attributes, maximum likelihood attributes, ant attributes, etc. are used to finely characterize the three-dimensional spatial distribution characteristics of weak strike-slip faults.

[0107] Detailed seismic characterization of weak strike-slip fault-controlled reservoirs: The reservoir types of fault-controlled fracture-vuggy reservoirs are roughly divided into cave type, pore type, and fracture type. The seismic reflection characteristics of weak strike-slip fault-controlled fracture-vuggy reservoirs are often the comprehensive response of caves, pores, fractures and matrix surrounding rocks. The prediction of fault-controlled reservoirs should start with strengthening the responses of different reservoirs to improve the matching between seismic data and reservoir prediction methods, so as to improve the prediction accuracy of various reservoirs. The response intensity of fracture-type reservoirs can be improved by using anisotropic filtering processing, and waveform component reconstruction and dip filtering can be used to strip background energy and suppress noise, so as to improve the seismic response intensity of cave and pore reservoirs.

[0108] Classification prediction of weak strike-slip fault-controlled reservoirs: Use anisotropic filtering to process seismic data volumes, optimize sensitive attributes of fracture reservoirs, and use coherent enhancement attributes to improve the accuracy of fracture reservoir identification; use seismic data after waveform component reconstruction and dip filtering to optimize sensitive attributes of cave and vug-type reservoirs, use sweet spot attributes to describe cave reservoirs, and use amplitude curvature attributes to characterize vug-type reservoirs.

[0109] Quantitative carving of weak strike-slip fault-controlled reservoirs: Drilling and logging data are used to calibrate the sweet spot attribute threshold, amplitude curvature threshold, and coherence enhancement attribute threshold. The cave reservoir is calibrated using the emptying point of the drilling curve, the amplitude curvature is calibrated using the mutation point of the drilling and logging curves to characterize the vug-type reservoir, and the coherence enhancement is calibrated using the logging curve to characterize the fracture-type reservoir. Based on the quantitative calibration results of each, the three-dimensional fusion carving of cave, vug, and fracture reservoirs is performed.

[0110] The present invention also provides an electronic device, which includes: a memory storing executable instructions; and a processor, which runs the executable instructions in the memory to implement the above-mentioned weak strike-slip fault-controlled reservoir identification method.

[0111] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned weak strike-slip fault-controlled reservoir identification method is implemented.

[0112] To facilitate understanding of the solutions and effects of the embodiments of the present invention, four specific application examples are given below. Those skilled in the art should understand that the examples are only for facilitating understanding of the present invention, and any specific details thereof are not intended to limit the present invention in any way.

[0113] Example 1

[0114] Figure 1 A flow chart showing the steps of a method for identifying a weak strike-slip fault-controlled reservoir according to an embodiment of the present invention.

[0115] like Figure 1As shown, the method for identifying weak strike-slip fault-controlled reservoirs includes: step 101, performing fine seismic characterization on weak strike-slip faults; step 102, performing fine seismic characterization on weak strike-slip fault-controlled reservoirs; step 103, performing classification prediction on weak strike-slip fault-controlled reservoirs; step 104, performing quantitative carving on weak strike-slip fault-controlled fracture-cavity reservoirs to achieve reservoir identification.

[0116] Carry out enhanced interpretative processing of the seismic response characteristics of weak strike-slip faults, and improve the response characteristics of seismic data of weak strike-slip faults through processing methods such as structure-guided filtering, dip-guided filtering, and seismic frequency division and high frequency. Perform fault attribute optimization on the processed seismic data volume, and use coherence attributes, AFE attributes, curvature attributes, maximum likelihood attributes, ant attributes, etc. to finely characterize the three-dimensional spatial distribution characteristics of weak strike-slip faults.

[0117] Figure 2a and Figure 2b Schematic diagrams showing the comparison before and after the fracture reservoir characteristic enhancement process according to an embodiment of the present invention are shown respectively.

[0118] Figure 3a-3c Schematic diagrams showing the comparison of cave and hole reservoir enhancement treatment before and after according to an embodiment of the present invention are shown respectively. Figure 3a The unprocessed cross section is shown. Figure 3b shows the waveform component reconstruction profile, Figure 3c The dip filter profile is shown.

[0119] The fault-controlled fracture-cavity reservoirs are roughly divided into cave, hole, and fracture types. Starting from the enhanced interpretation processing of seismic response characteristics, anisotropic filtering is used to improve the response strength of fracture-type reservoirs, such as Figure 2a-2b As shown in Figure 1, waveform component reconstruction and dip filtering are used to remove background energy and suppress noise, thereby improving the seismic response intensity of cave and hole reservoirs. Figure 3a-3c shown.

[0120] The seismic data volume is processed by anisotropic filtering to optimize the sensitive attributes of fracture reservoirs, and the coherence enhancement attributes are selected to improve the identification accuracy of fracture reservoirs. The seismic data after waveform component reconstruction and dip filtering are used to optimize the sensitive attributes of cave and vug type reservoirs, and the sweet spot attributes are selected to describe the cave type reservoirs, and the amplitude curvature attributes are selected to characterize the vug type reservoirs.

[0121] The drilling and logging data are used to calibrate the threshold values ​​of sweet spot attributes, amplitude curvature threshold values, and coherence enhancement attribute threshold values. The cave reservoir is calibrated by the emptying point of the drilling curve, the amplitude curvature is calibrated by the mutation point of the drilling and logging curve to characterize the hole-type reservoir, and the coherence enhancement is calibrated by the logging curve to characterize the fracture-type reservoir. Based on the quantitative calibration results of each, the three-dimensional fusion carving of cave, hole, and fracture reservoirs is carried out.

[0122] Example 2

[0123] Figure 4 A block diagram of a device for identifying a weak strike-slip fault-controlled reservoir according to an embodiment of the present invention is shown.

[0124] like Figure 4 As shown, the weak strike-slip fault-controlled reservoir identification device comprises:

[0125] A fault fine characterization module 201 performs fine seismic characterization on weak strike-slip faults;

[0126] A reservoir fine characterization module 202 performs seismic fine characterization on weak strike-slip fault-controlled reservoirs;

[0127] Classification prediction module 203, performs classification prediction for weak strike-slip fault-controlled reservoirs;

[0128] The reservoir identification module 204 performs quantitative carving on the weak strike-slip fault-controlled fracture-cavity reservoir to achieve reservoir identification.

[0129] In one example, fine seismic characterization of a weak strike-slip fault involves:

[0130] Carry out enhanced interpretation processing of seismic response characteristics of weak strike-slip faults, and improve the response characteristics of seismic data of weak strike-slip faults through structural guidance filtering, dip guidance filtering, and seismic frequency division and high-frequency processing;

[0131] The fault attributes are determined on the processed seismic data volume, and the three-dimensional spatial distribution characteristics of weak strike-slip faults are precisely characterized.

[0132] In one example, the fracture attributes include a coherence attribute, an AFE attribute, a curvature attribute, a maximum likelihood attribute, and an ant attribute.

[0133] In one example, detailed seismic characterization of a weak strike-slip fault-controlled reservoir includes:

[0134] The seismic reflection characteristics of weak strike-slip fault-controlled fracture-cave reservoirs are the comprehensive responses of caves, pores, fractures and matrix surrounding rocks. The prediction of fault-controlled reservoirs starts from strengthening the responses of different reservoirs to improve the matching of seismic data and reservoir prediction methods, and improve the prediction accuracy of various reservoirs.

[0135] The response strength of fractured reservoirs is improved through anisotropic filtering, and the background energy is stripped and noise is suppressed through waveform component reconstruction and dip filtering, thereby improving the seismic response strength of cave and hole reservoirs.

[0136] In one example, the reservoir types of the fault-controlled fracture-vuggy reservoir include cave type, hole type, and fracture type.

[0137] In one example, classification prediction for weak strike-slip fault-controlled reservoirs includes:

[0138] The seismic data volume is processed by anisotropic filtering to determine the sensitive attributes of fracture reservoirs, and the coherent enhancement attributes are selected to improve the accuracy of fracture reservoir identification;

[0139] The sensitive attributes of cave and vuggy reservoirs are determined by using seismic data after waveform component reconstruction and dip filtering. The cave reservoirs are described by sweet spot attributes, and the vuggy reservoirs are characterized by amplitude curvature attributes.

[0140] In one example, quantitative carving of weak strike-slip fault-controlled fracture-cavity reservoirs includes:

[0141] The drilling and logging data are used to calibrate the sweet spot attribute threshold, amplitude curvature threshold and coherence enhancement attribute threshold;

[0142] Use the drilling curve to calibrate the emptying point to calibrate the cave reservoir, use the drilling and logging curve mutation points to calibrate the amplitude curvature to characterize the hole-type reservoir, and use the logging curve to calibrate the coherence enhancement to characterize the fracture-type reservoir;

[0143] According to the calibration results, the three-dimensional fusion carving of cave-type, hole-type and fracture-type reservoirs is carried out.

[0144] Example 3

[0145] The present disclosure provides an electronic device, which includes: a memory storing executable instructions; a processor running the executable instructions in the memory to implement the above-mentioned weak strike-slip fault-controlled reservoir identification method.

[0146] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.

[0147] The memory is used to store non-temporary computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.

[0148] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of the present disclosure, the processor is used to run the computer-readable instructions stored in the memory.

[0149] Those skilled in the art should be able to understand that in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus and an interface, and these well-known structures should also be included in the protection scope of the present disclosure.

[0150] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0151] Example 4

[0152] An embodiment of the present disclosure provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the method for identifying a weak strike-slip fault-controlled reservoir is implemented.

[0153] According to the computer-readable storage medium of the embodiment of the present disclosure, non-transitory computer-readable instructions are stored thereon. When the non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the above-mentioned methods of each embodiment of the present disclosure are executed.

[0154] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or mobile hard disk), media with built-in rewritable non-volatile memory (e.g., memory card) and media with built-in ROM (e.g., ROM box).

[0155] Those skilled in the art should understand that the purpose of the above description of the embodiments of the present invention is only to exemplarily illustrate the beneficial effects of the embodiments of the present invention, and is not intended to limit the embodiments of the present invention to any given examples.

[0156] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for identifying weak strike-slip fault-controlled reservoirs, characterized in that: include: Conduct fine seismic characterization on weak strike-slip faults; Conduct fine seismic characterization of weak strike-slip fault-controlled reservoirs; Carry out classification prediction for the weak strike-slip fault-controlled reservoir; Quantitative carving is performed on weak strike-slip fault-controlled fracture-cavity reservoirs to achieve reservoir identification.

2. The method for identifying weak strike-slip fault-controlled reservoirs according to claim 1, wherein: Fine seismic characterization of weak strike-slip faults includes: Carry out enhanced interpretation processing of seismic response characteristics of weak strike-slip faults, and improve the response characteristics of seismic data of weak strike-slip faults through structural guidance filtering, dip guidance filtering, and seismic frequency division and high-frequency processing; The fault attributes are determined on the processed seismic data volume, and the three-dimensional spatial distribution characteristics of weak strike-slip faults are precisely characterized.

3. The method for identifying weak strike-slip fault-controlled reservoirs according to claim 2, wherein: The fracture attributes include coherence attribute, AFE attribute, curvature attribute, maximum likelihood attribute, and ant attribute.

4. The method for identifying weak strike-slip fault-controlled reservoirs according to claim 1, wherein: Seismic fine characterization of weak strike-slip fault-controlled reservoirs includes: The seismic reflection characteristics of weak strike-slip fault-controlled fracture-cave reservoirs are the comprehensive responses of caves, pores, fractures and matrix surrounding rocks. The prediction of fault-controlled reservoirs starts from strengthening the responses of different reservoirs to improve the matching of seismic data and reservoir prediction methods, and improve the prediction accuracy of various reservoirs. The response strength of fractured reservoirs is improved through anisotropic filtering, and the background energy is stripped and noise is suppressed through waveform component reconstruction and dip filtering, thereby improving the seismic response strength of cave and hole reservoirs.

5. The method for identifying weak strike-slip fault-controlled reservoirs according to claim 1, wherein: The reservoir types of the fault-controlled fracture-vuggy reservoir include cave type, hole type and fracture type.

6. The method for identifying weak strike-slip fault-controlled reservoirs according to claim 5, wherein: Classification prediction for the weak strike-slip fault-controlled reservoir includes: The seismic data volume is processed by anisotropic filtering to determine the sensitive attributes of fracture reservoirs, and the coherent enhancement attributes are selected to improve the accuracy of fracture reservoir identification; The sensitive attributes of cave and vuggy reservoirs are determined by using seismic data after waveform component reconstruction and dip filtering. The cave reservoirs are described by sweet spot attributes, and the vuggy reservoirs are characterized by amplitude curvature attributes.

7. The method for identifying weak strike-slip fault-controlled reservoirs according to claim 1, wherein: Quantitative carving of weak strike-slip fault-controlled fracture-cavity reservoirs includes: The drilling and logging data are used to calibrate the sweet spot attribute threshold, amplitude curvature threshold and coherence enhancement attribute threshold; Use the drilling curve to calibrate the emptying point to calibrate the cave reservoir, use the drilling and logging curve mutation points to calibrate the amplitude curvature to characterize the hole-type reservoir, and use the logging curve to calibrate the coherence enhancement to characterize the fracture-type reservoir; According to the calibration results, the three-dimensional fusion carving of cave-type, hole-type and fracture-type reservoirs is carried out.

8. A weak strike-slip fault-controlled reservoir identification device, characterized in that: include: Fault fine characterization module, for fine seismic characterization of weak strike-slip faults; Reservoir fine characterization module, for fine seismic characterization of weak strike-slip fault-controlled reservoirs; A classification prediction module, for performing classification prediction on the weak strike-slip fault-controlled reservoir; The reservoir identification module performs quantitative carving on weak strike-slip fault-controlled fracture-cavity reservoirs to achieve reservoir identification.

9. An electronic device, characterized in that: The electronic device comprises: A memory storing executable instructions; A processor, wherein the processor runs the executable instructions in the memory to implement the method for identifying weak strike-slip fault-controlled reservoirs according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for identifying a weak strike-slip fault-controlled reservoir according to any one of claims 1 to 7 is implemented.

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