Characterization method of reservoir architecture boundary types of sublacustrine fans constrained by sequence stratigraphic framework

Abstract

The present invention discloses a method for characterizing the configuration boundary type of a lake bottom fan reservoir constrained by a sequence stratigraphic framework, comprising the following steps: acquiring three-dimensional seismic data of a lake bottom fan reservoir; using the three-dimensional seismic data of the lake bottom fan reservoir to construct a sequence stratigraphic framework by combining wells and seismic data; using the three-dimensional seismic data of the lake bottom fan reservoir and the sequence stratigraphic framework to constrain the top and bottom interfaces of the lake bottom fan reservoir; based on the top and bottom interfaces of the lake bottom fan reservoir, calculating the amplitude change rate, thickness change rate, and top surface structural change rate of the seismic attribute of the lake bottom fan reservoir; characterizing the configuration boundary type of the lake bottom fan reservoir based on the amplitude change rate, thickness change rate, and top surface structural change rate of the seismic attribute of the lake bottom fan reservoir. By adopting an analysis method combining wells and seismic data, the rich three-dimensional seismic information is fully utilized to constrain the reservoir configuration boundary characterization, which makes up for the deficiency of the configuration analysis method based on well information under the condition of sparse well network at sea, effectively reduces the uncertainty of reservoir configuration boundary prediction, and improves the prediction efficiency of reservoir configuration boundary prediction.

Description

Technical Field

[0001] The invention relates to a reservoir configuration characterization method, in particular to a lake bottom fan reservoir configuration boundary type characterization method constrained by a high-precision sequence stratigraphic framework, and belongs to the technical field of offshore oilfield development geological research. Background Art

[0002] In the 1970s and 1980s, foreign scholars Allen and Miall proposed reservoir architecture, which mainly refers to the geometric shape, scale, direction and spatial superposition relationship of reservoir units of different levels. The study of reservoir architecture helps to further understand the distribution characteristics of reservoirs at different scales within the sedimentary system. Especially in the development stage, the understanding of the internal architecture of the reservoir can directly guide the analysis of underground sand body connectivity, residual oil distribution and fluid movement characteristics, which has important practical significance.

[0003] At present, the existing technologies for studying underground reservoir configuration are mainly based on underground dense well network data, and are carried out in a model-guided, multi-well joint, and multi-dimensional interactive manner. However, under the conditions of sparse well networks in offshore oil and gas fields (early well spacing is generally greater than 1000m, and in the middle and late stages it can reach 200-500m locally), it is difficult to accurately characterize the internal configuration boundary of the reservoir using existing underground reservoir configuration characterization technologies. Therefore, it is necessary to make full use of 3D seismic data to establish a high-precision stratigraphic framework-constrained lake fan reservoir configuration boundary type characterization method. Summary of the invention

[0004] In view of the above problems, the purpose of the present invention is to provide a method for characterizing the boundary types of lake fan reservoir architecture constrained by a high-precision sequence stratigraphic framework, and to make full use of three-dimensional seismic data to characterize the boundary types of reservoir architecture.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for characterizing the boundary type of lake fan reservoir architecture constrained by a sequence stratigraphic framework comprises the following steps:

[0007] Acquire 3D seismic data of lake submerged fan reservoirs;

[0008] Using the 3D seismic data of the lake submerged fan reservoir, a sequence stratigraphic framework was constructed by combining well and seismic data.

[0009] Using 3D seismic data and sequence stratigraphic framework of sublacustrine fan reservoirs, the top and bottom interfaces of sublacustrine fan reservoirs were constrained.

[0010] Based on the top and bottom interfaces of the lake submerged fan reservoir, the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the lake submerged fan reservoir are obtained;

[0011] Based on the seismic attribute amplitude change rate, thickness change rate and top surface structure change rate of the sublacustrine fan reservoir, the architectural boundary type of the sublacustrine fan reservoir is characterized.

[0012] The construction of sequence stratigraphic framework by combining well and seismic analysis includes the following steps:

[0013] Select typical wells, perform wavelet transformation on gamma logging curves, conduct single well and well-connected sequence analysis based on the curve characteristics, and establish the sequence stratigraphic framework above the wells;

[0014] Based on the well sequence stratigraphic framework and the 3D seismic data of the lake fan reservoir, the oil group level seismic sequence stratigraphic framework is established through well-seismic calibration and stratigraphic interpretation and tracking.

[0015] Based on the oil-group seismic sequence stratigraphic framework as a constraint, stratigraphic slices were produced. Combined with sedimentary geological characteristics, the well sequence stratigraphic framework was coarsened by slice deduction, and the oil-group seismic sequence was refined. The sub-oil-group seismic sequence stratigraphic framework matching the wells and seismic was constructed through the combination of wells and seismic data.

[0016] Acquiring the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the sublacustrine fan reservoir based on the top and bottom interfaces of the sublacustrine fan reservoir includes the following steps:

[0017] The top and bottom interfaces of the lake bottom fan reservoir interpreted by tracing are used as time windows to extract seismic attributes and calculate the actual drilling sand body thickness;

[0018] Based on the correlation analysis between seismic attributes and sand body thickness, the sensitive seismic attributes of the lake bottom fan reservoir are determined;

[0019] The maximum curvature is obtained based on the reservoir sensitive seismic attributes to obtain the amplitude change rate of the reservoir sensitive seismic attributes.

[0020] Characterizing the boundary type of sublacustrine fan reservoir architecture includes the following steps:

[0021] Based on the linear characterization of the amplitude change rate of reservoir sensitive seismic attributes, the initial reservoir configuration boundary is obtained;

[0022] Based on the superposition analysis of the initial reservoir configuration boundary, the reservoir thickness change rate and the sand body top surface structure change rate, the initial reservoir configuration boundary is classified and different types of configuration boundaries are obtained.

[0023] A device for characterizing the boundary type of lake fan reservoir architecture constrained by a sequence stratigraphic framework, comprising:

[0024] A first processing unit is used to obtain three-dimensional seismic data of the lake bottom fan reservoir;

[0025] The second processing unit is used to construct a sequence stratigraphic framework by combining well and seismic data using the three-dimensional seismic data of the lake bottom fan reservoir;

[0026] The third processing unit is used to constrain the top and bottom interfaces of the sublacustrine fan reservoir using the three-dimensional seismic data of the sublacustrine fan reservoir and the sequence stratigraphic framework;

[0027] A fourth processing unit is used to obtain the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the sublake fan reservoir based on the top interface and bottom interface of the sublake fan reservoir;

[0028] The fifth processing unit characterizes the configuration boundary type of the sublacustrine fan reservoir based on the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the sublacustrine fan reservoir.

[0029] The second processing unit is adapted to:

[0030] Select typical wells, perform wavelet transformation on gamma logging curves, conduct single well and well-connected sequence analysis based on the curve characteristics, and establish the sequence stratigraphic framework above the wells;

[0031] Based on the well sequence stratigraphic framework and the 3D seismic data of the lake fan reservoir, the oil group level seismic sequence stratigraphic framework is established through well-seismic calibration and stratigraphic interpretation and tracking.

[0032] Based on the oil-group seismic sequence stratigraphic framework as a constraint, stratigraphic slices were produced. Combined with sedimentary geological characteristics, the well sequence stratigraphic framework was coarsened by slice deduction, and the oil-group seismic sequence was refined. The sub-oil-group seismic sequence stratigraphic framework matching the wells and seismic was constructed through the combination of wells and seismic data.

[0033] The fourth processing unit is adapted to:

[0034] The top and bottom interfaces of the lake bottom fan reservoir interpreted by tracing are used as time windows to extract seismic attributes and calculate the actual drilling sand body thickness;

[0035] Based on the correlation analysis between seismic attributes and sand body thickness, the sensitive seismic attributes of the lake bottom fan reservoir are determined;

[0036] The maximum curvature is obtained based on the reservoir sensitive seismic attributes to obtain the amplitude change rate of the reservoir sensitive seismic attributes.

[0037] The fifth processing unit is adapted to:

[0038] Based on the linear characterization of the amplitude change rate of reservoir sensitive seismic attributes, the initial reservoir configuration boundary is obtained;

[0039] Based on the superposition analysis of the initial reservoir configuration boundary, the reservoir thickness change rate and the sand body top surface structure change rate, the initial reservoir configuration boundary is classified and different types of configuration boundaries are obtained.

[0040] A computer-readable storage medium stores a computer program, which implements the steps of the above method when executed by a processor.

[0041] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above method are implemented.

[0042] Due to the adoption of the above technical scheme, the present invention has the following advantages: The present invention discloses a method for characterizing the boundary type of lake fan reservoir architecture constrained by a high-precision sequence stratigraphic framework, constructs a high-precision sequence stratigraphic framework through well-seismic interaction, and tracks the top and bottom interfaces of composite sand bodies under the constraints of the framework. On this basis, combined with the amplitude change rate of reservoir seismic sensitive attributes, the reservoir thickness change rate and the sand body top surface structural change rate, comprehensive consideration and analysis are carried out to classify and characterize the reservoir architecture boundary, thereby guiding the analysis of reservoir sand body connectivity, optimizing the development well network, and providing important technical support for the efficient development and program adjustment of underground oil and gas reservoirs.

[0043] In addition, it has the following advantages:

[0044] (1) The research approach of hierarchical constraints is adopted. The high-order structural unit analysis is constrained by the stratigraphic framework with strong certainty, and the low-order structural unit analysis is then constrained step by step. This not only adapts to the complex sedimentary laws of the structural hierarchy within the sublacustrine fan, but also improves the accuracy of the structural boundary representation.

[0045] (2) The well-seismic combined analysis method is used to fully utilize the rich three-dimensional seismic information to constrain the reservoir configuration boundary representation, which makes up for the shortcomings of the configuration analysis method based mainly on well information under sparse offshore well network conditions, effectively reduces the uncertainty of reservoir configuration boundary prediction, and at the same time improves the prediction efficiency of reservoir configuration boundary prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Throughout the accompanying drawings, the same reference numerals are used to represent the same components. In the accompanying drawings:

[0047] Figure 1 A flow chart of a method for characterizing the boundary type of a sublacustrine fan reservoir structure under the constraints of a sequence stratigraphic framework provided in an embodiment of the present invention;

[0048] Figure 2 A schematic diagram of a sequence stratigraphic framework constructed by well-seismic interaction provided in an embodiment of the present invention;

[0049] Figure 3A schematic diagram of the top and bottom interfaces of a composite sand body tracked and interpreted based on three-dimensional seismic data with a sequence stratigraphic framework as a constraint provided by an embodiment of the present invention;

[0050] Figure 4 A schematic diagram of top and bottom interface constraints of a sub-lake fan composite sand body provided in an embodiment of the present invention, and obtaining reservoir sensitive seismic attributes and seismic attribute change rates based on three-dimensional seismic data;

[0051] Figure 5 A schematic diagram of the thickness change rate of the composite sand body reservoir obtained by constraining the top and bottom interfaces of the composite sand body of the lake bottom fan provided in an embodiment of the present invention;

[0052] Figure 6 A schematic diagram of the structural change rate of the top surface of the bottom lake fan composite sand body provided by an embodiment of the present invention;

[0053] Figure 7 A schematic diagram of the initial reservoir configuration boundary of a sub-lake fan provided in an embodiment of the present invention;

[0054] Figure 8 A schematic diagram of the classification of lake bottom fan reservoir configuration boundaries provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0056] The method for characterizing the boundary type of lake fan reservoir architecture constrained by a high-precision sequence stratigraphic framework of the present invention comprises the following steps:

[0057] 1) Using 3D seismic data, well-seismic data are combined to construct a sequence stratigraphic framework;

[0058] 2) Using 3D seismic data and the sequence stratigraphic framework as a constraint, trace and interpret the top and bottom interfaces of the sublacustrine fan composite sand body;

[0059] 3) according to the top and bottom interfaces of the sublake fan composite sand body, the change rate of the reservoir sensitive seismic attributes is obtained based on the three-dimensional seismic data;

[0060] 4) according to the top and bottom interfaces of the composite sand body of the bottom lake fan, obtaining the thickness change rate of the composite sand body reservoir;

[0061] 5) according to the top interface of the composite sand body of the lake bottom fan, obtaining the structural change rate of the top surface of the composite sand body;

[0062] 6) classifying the reservoir configuration boundary of the sublacustrine fan according to the seismic attribute amplitude change rate, reservoir thickness change rate and sand body top surface structural change amplitude;

[0063] Specifically, the construction of a sequence stratigraphic framework by combining well and seismic analysis includes the following steps:

[0064] Step A1: Select typical wells, perform wavelet transformation on the GR curve, conduct single well and well-connected sequence analysis based on the curve characteristics, and establish a preliminary well sequence stratigraphic framework;

[0065] GR curve refers to the natural gamma logging curve.

[0066] Step A2: Based on the well sequence stratigraphic framework and 3D seismic data, an oil group-level seismic sequence stratigraphic framework is established through well-seismic calibration and stratigraphic interpretation and tracking;

[0067] Step A3: Using the initial seismic sequence stratigraphic framework as a constraint, stratigraphic slices are produced. Combined with sedimentary geological characteristics, slice deduction analysis techniques are used to coarsen the well sequence and refine the seismic sequence. The "well-seismic interaction" is used to construct a well-seismic matching sub-oil group-level sequence stratigraphic framework.

[0068] Specifically, obtaining the amplitude change rate of reservoir sensitive seismic attributes based on three-dimensional seismic data includes the following steps:

[0069] Step C1: Extract seismic attributes using the top and bottom interfaces of the composite sand body interpreted by tracking as the time window;

[0070] Step C2: Using the top and bottom interfaces of the composite sand body interpreted by tracking as constraints, the actual drilling sand body thickness is counted;

[0071] Step C3: performing correlation analysis on the seismic attributes and sand body thickness, and optimizing reservoir sensitive seismic attributes;

[0072] Step C4: obtaining the maximum curvature of the reservoir sensitive seismic attribute to obtain the change rate of the reservoir sensitive seismic attribute;

[0073] Specifically, the classification of the lake bottom fan reservoir architecture boundary includes the following steps:

[0074] Step F1: linearly characterize the change rate of the reservoir sensitive seismic attribute to obtain the initial reservoir configuration boundary;

[0075] Step F2: performing superposition analysis on the initial reservoir configuration boundary, the reservoir thickness change rate, and the sand body top surface structure change rate respectively;

[0076] Step F3: Classify the initial reservoir configuration boundaries according to the analysis results of step F2 to obtain different types of configuration boundaries.

[0077] Example

[0078] A method for characterizing the reservoir architecture boundary types of sublacustrine fans constrained by a high-precision sequence stratigraphic framework is provided. Figure 1 As shown, the following steps are included:

[0079] Step A, using 3D seismic data, well-seismic combination to construct a sequence stratigraphic framework, the specific steps are:

[0080] Step A1: Select typical wells, perform wavelet transformation on the GR curve, conduct single well and well-connected sequence analysis based on the curve characteristics, and establish a preliminary well sequence stratigraphic framework;

[0081] Step A2: Based on the well sequence stratigraphic framework and 3D seismic data, an oil group-level seismic sequence stratigraphic framework is established through well-seismic calibration and stratigraphic interpretation and tracking;

[0082] Step A3: Using the initial seismic sequence stratigraphic framework as a constraint, stratigraphic slices are produced. Combined with sedimentary geological characteristics, slice deduction is used to coarsen the well sequence and refine the seismic sequence. The well-seismic interaction is used to construct a well-seismic matching sub-oil group-level sequence stratigraphic framework.

[0083] Depend on Figure 2 It can be seen that the sub-oil group-level sequence stratigraphic framework constructed by well-seismic interaction includes five sequence units: II-1, II-2, II-3, II-4, and II-5.

[0084] Step B, using 3D seismic data and the sequence stratigraphic framework as a constraint, interactively trace and interpret the top and bottom interfaces of the composite sand body;

[0085] Depend on Figure 3 It can be seen that, with the sub-oil group-level sequence stratigraphic framework as a constraint, the top and bottom interfaces of the composite sand bodies within each sequence unit II-1, II-2, II-3, II-4, and II-5 are traced and interpreted.

[0086] Step C, obtaining the amplitude change rate of reservoir sensitive seismic attributes based on 3D seismic data, the specific steps are:

[0087] Step C1: Extract seismic attributes using the top and bottom interfaces of the composite sand body interpreted by II-4 oil group tracking as the time window;

[0088] Step C2: Taking the top and bottom interfaces of the composite sand body interpreted by the II-4 oil group tracking as constraints, the actual drilling sand body thickness is counted;

[0089] Step C3: perform correlation analysis on the seismic attributes extracted from the II-4 oil group and the sand body thickness, and optimize the reservoir sensitive seismic attributes;

[0090] Step C4: Calculate the maximum curvature of the sensitive seismic attribute of the II-4 oil group reservoir to obtain the change rate of the sensitive seismic attribute of the reservoir.

[0091] Depend on Figure 4 It can be seen that the II-4 oil reservoir is distributed in a northeast-southwest direction as a whole, and its interior is characterized by the superposition of multiple river channels.

[0092] Step D, based on the top and bottom interfaces of the composite sand body, obtaining the composite sand body reservoir thickness and its change rate;

[0093] Depend on Figure 5 - From the left, we can see that the reservoir thickness of the II-4 oil group ranges from 0 to 28 m, and the reservoir thickness change rate is 0 to 20; Figure 5 -Right is the boundary where the extracted reservoir thickness change rate is greater than 10.

[0094] Step E, based on the top interface of the composite sand body, obtaining the structural change rate of the top surface of the composite sand body;

[0095] Depend on Figure 6 It can be seen that the top surface structure of the composite sand body inside the II-4 oil group is generally high in the northeast and low in the southwest, with a structural amplitude ranging from 0 to 60°. The boundary amplitude dominated by red is greater than 40°, and the boundary amplitude dominated by yellow is between 0 and 40°.

[0096] Step F, taking the reservoir sensitive seismic attribute change rate as the initial reservoir architecture boundary, and classifying the lake bottom fan reservoir architecture boundary according to the composite sand body thickness change rate and the composite sand body top surface structure change rate, including the following steps:

[0097] Step F1: linearly characterize the change rate of the reservoir sensitive seismic attribute to obtain the initial reservoir configuration boundary;

[0098] Depend on Figure 7 It can be seen that the initial reservoir architecture boundaries are distributed in nearly north-south, east-west and northwest-southeast directions.

[0099] Step F2: Superimpose and analyze the initial reservoir configuration boundary, reservoir thickness change rate, and sand body top surface structure change rate respectively;

[0100] Step F3: Classify the initial reservoir configuration boundaries according to the magnitude of the change rate to obtain different types of configuration boundaries.

[0101] Depend on Figure 8 It can be seen that the composite sand bodies within the II-4 oil group mainly develop type I-isolated type, type II-lateral overlap type, and type III-stacked type architectural boundaries.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for characterizing the boundary type of lake fan reservoir architecture constrained by a sequence stratigraphic framework, characterized in that: The steps include: Acquire 3D seismic data of lake submerged fan reservoirs; Using the three-dimensional seismic data of the lake bottom fan reservoir, a sequence stratigraphic framework is constructed by combining well and seismic data; Using the three-dimensional seismic data of the sublacustrine fan reservoir and the sequence stratigraphic framework, constraining the top and bottom interfaces of the sublacustrine fan reservoir; Based on the top interface and the bottom interface of the sublacustrine fan reservoir, the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the sublacustrine fan reservoir are obtained; Characterizing the boundary type of the sublacustrine fan reservoir structure based on the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the sublacustrine fan reservoir; The construction of sequence stratigraphic framework by combining well and seismic analysis includes the following steps: Select typical wells, perform wavelet transformation on gamma logging curves, conduct single well and well-connected sequence analysis based on the curve characteristics, and establish the sequence stratigraphic framework above the wells; Based on the above-well sequence stratigraphic framework and the above-mentioned three-dimensional seismic data of the lake submerged fan reservoir, an oil group-level seismic sequence stratigraphic framework is established through well-seismic calibration and stratigraphic interpretation and tracking; Based on the oil group level seismic sequence stratigraphic framework as a constraint, stratigraphic slices are produced, and in combination with sedimentary geological characteristics, the well-surface sequence stratigraphic framework is coarsened by slice deduction, and the oil group level seismic sequence is refined, and a sub-oil group level seismic sequence stratigraphic framework matching the well and seismic is constructed by combining well and seismic. Acquiring the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the sublacustrine fan reservoir based on the top interface and the bottom interface of the sublacustrine fan reservoir comprises the following steps: The top and bottom interfaces of the lake bottom fan reservoir interpreted by tracing are used as time windows to extract seismic attributes and calculate the actual drilling sand body thickness; Based on the correlation analysis between the seismic attributes and the sand body thickness, the sensitive seismic attributes of the lake bottom fan reservoir are determined; Calculating the maximum curvature based on the reservoir sensitive seismic attribute to obtain the amplitude change rate of the reservoir sensitive seismic attribute; Characterizing the boundary type of sublacustrine fan reservoir architecture includes the following steps: Based on the amplitude change rate of the reservoir sensitive seismic attribute, a linear characterization is performed to obtain an initial reservoir configuration boundary; Based on the initial reservoir configuration boundary, the reservoir thickness change rate, and the sand body top surface structure change rate, superposition analysis is performed respectively to classify the initial reservoir configuration boundary to obtain different types of configuration boundaries.

2. A device for characterizing the boundary type of lake fan reservoir architecture constrained by a sequence stratigraphic framework, characterized in that: include: A first processing unit is used to obtain three-dimensional seismic data of the lake bottom fan reservoir; The second processing unit is used to construct a sequence stratigraphic framework by combining well and seismic data using the three-dimensional seismic data of the sublacustrine fan reservoir; A third processing unit is used to constrain the top and bottom interfaces of the sublacustrine fan reservoir using the three-dimensional seismic data of the sublacustrine fan reservoir and the sequence stratigraphic framework; A fourth processing unit is used to obtain the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the sublacustrine fan reservoir based on the top interface and the bottom interface of the sublacustrine fan reservoir; A fifth processing unit, characterizing the configuration boundary type of the sublacustrine fan reservoir based on the seismic attribute amplitude change rate, thickness change rate, and top surface structure change rate of the sublacustrine fan reservoir; The second processing unit is adapted to: Select typical wells, perform wavelet transformation on gamma logging curves, conduct single well and well-connected sequence analysis based on the curve characteristics, and establish the sequence stratigraphic framework above the wells; Based on the above-well sequence stratigraphic framework and the above-mentioned three-dimensional seismic data of the lake submerged fan reservoir, an oil group-level seismic sequence stratigraphic framework is established through well-seismic calibration and stratigraphic interpretation and tracking; Based on the oil group level seismic sequence stratigraphic framework as a constraint, stratigraphic slices are produced, and in combination with sedimentary geological characteristics, the well-surface sequence stratigraphic framework is coarsened by slice deduction, and the oil group level seismic sequence is refined, and a sub-oil group level seismic sequence stratigraphic framework matching the well and seismic is constructed by combining well and seismic. The fourth processing unit is adapted to: The top and bottom interfaces of the lake bottom fan reservoir interpreted by tracing are used as time windows to extract seismic attributes and calculate the actual drilling sand body thickness; Based on the correlation analysis between the seismic attributes and the sand body thickness, the sensitive seismic attributes of the lake bottom fan reservoir are determined; Calculating the maximum curvature based on the reservoir sensitive seismic attribute to obtain the amplitude change rate of the reservoir sensitive seismic attribute; The fifth processing unit is adapted to: Based on the amplitude change rate of the reservoir sensitive seismic attribute, a linear characterization is performed to obtain an initial reservoir configuration boundary; Based on the initial reservoir configuration boundary, the reservoir thickness change rate, and the sand body top surface structure change rate, superposition analysis is performed respectively to classify the initial reservoir configuration boundary to obtain different types of configuration boundaries.

3. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 1 are implemented.

4. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to claim 1 are implemented.

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