CN-122017967-A - Method and device for establishing near-surface model, storage medium and electronic equipment

CN122017967ACN 122017967 ACN122017967 ACN 122017967ACN-122017967-A

Abstract

The invention provides a method, a device, a storage medium and electronic equipment for establishing a near-surface model, wherein the method for establishing the near-surface model comprises the steps of obtaining attribute point data of a plurality of two-dimensional seismic lines, obtaining a spatial range of the near-surface model according to the attribute point data, obtaining first point data of each two-dimensional seismic line of the plurality of two-dimensional seismic lines, which are positioned on the ground surface, and second point data of the top layer, obtaining a first three-dimensional boundary surface according to the spatial range of the first point data and the near-surface model, obtaining a second three-dimensional boundary surface according to the spatial range of the second point data and the near-surface model, obtaining effective attribute point data, obtaining a three-dimensional grid model according to preset grid dividing parameters, the first three-dimensional boundary surface and the second three-dimensional boundary surface, and establishing the near-surface model according to the effective attribute point data and the three-dimensional grid model. The invention obviously improves the precision and reliability of the near-surface model.

Inventors

LUO KAIYUN
MEN ZHE
YANG JIAN
WANG HANJUN
LONG BO
Qiu Yangbiao

Assignees

中国石油集团东方地球物理勘探有限责任公司
中国石油天然气集团有限公司

Dates

Publication Date: 20260512
Application Date: 20251219

Claims (12)

1. A method of creating a near-surface model, comprising: acquiring attribute point data of a plurality of two-dimensional seismic lines; Acquiring a spatial range of the near-surface model according to the attribute point data; acquiring first point data of each two-dimensional seismic line in a plurality of two-dimensional seismic lines at the ground surface and second point data of the top layer; Acquiring a first three-dimensional boundary surface according to the first point data and the spatial range of the near-surface model; Acquiring a second three-dimensional boundary curved surface according to the second point data and the spatial range of the near-surface model; Acquiring effective attribute point data between the first three-dimensional boundary surface and the second three-dimensional boundary surface in the attribute point data; Acquiring a three-dimensional grid model according to preset grid dividing parameters, the first three-dimensional boundary curved surface and the second three-dimensional boundary curved surface; And establishing the near-surface model according to the effective attribute point data and the three-dimensional grid model.
2. The method for building a near-surface model according to claim 1, wherein the obtaining a first three-dimensional boundary surface according to the first point data and the spatial range of the near-surface model specifically comprises: And acquiring the first three-dimensional boundary curved surface through a spatial interpolation algorithm according to the first point data and the spatial range of the near-surface model.
3. The method for building a near-surface model according to claim 1, wherein the obtaining a second three-dimensional boundary surface according to the second point data and the spatial range of the near-surface model specifically comprises: And acquiring the second three-dimensional boundary curved surface through a spatial interpolation algorithm according to the second point data and the spatial range of the near-surface model.
4. The method for building a near-surface model according to claim 1, wherein the acquiring valid attribute point data between the first three-dimensional boundary surface and the second three-dimensional boundary surface in the attribute point data specifically comprises: Acquiring the spatial position relation between the attribute point data and the first three-dimensional boundary curved surface and the second three-dimensional boundary curved surface according to the spatial coordinates of the attribute point data; And acquiring attribute point data of which all depth values are positioned between the first three-dimensional boundary surface and the second three-dimensional boundary surface according to the spatial position relation, and taking the attribute point data as the effective attribute point data.
5. The method for building a near-surface model according to claim 1, wherein the three-dimensional grid model comprises a grid column, the grid column comprises a plurality of layers of grid cells which are vertically arranged, and the building of the near-surface model according to the effective attribute point data and the three-dimensional grid model specifically comprises: acquiring the maximum layering number of the grid cells in the vertical direction according to the effective attribute point data; acquiring a depth range of each grid column according to the three-dimensional grid model; Acquiring an attribute value of each layer of grid unit according to the maximum layering number of the grid unit, the depth range of each grid column and the effective attribute point data; And establishing the near-surface model according to the three-dimensional grid model and the attribute values of the grid cells of each layer.
6. The method for building a near-surface model according to claim 5, wherein obtaining the attribute value of each layer of the grid cells according to the maximum number of layers, the depth range of each grid column and the valid attribute point data specifically comprises: acquiring attribute interpolation source data of each layer according to the maximum layer number and the effective attribute point data; According to the depth range of each grid column and the maximum layering number, obtaining the depth coordinate of each layer of grid unit in the corresponding grid column; and interpolating source data and depth coordinates of each layer of grid unit in a corresponding grid column according to each layered attribute to obtain an attribute value of each layer of grid unit.
7. The method for building a near-surface model according to claim 1, wherein the obtaining a three-dimensional mesh model according to the preset mesh partition parameter, the first three-dimensional boundary surface and the second three-dimensional boundary surface specifically includes: Acquiring a three-dimensional grid frame according to the preset grid dividing parameters, wherein the three-dimensional grid frame comprises a plurality of grid columns; acquiring the top surface depth and the bottom surface depth of each grid column in the three-dimensional grid frame according to the first three-dimensional boundary curved surface and the second three-dimensional boundary curved surface; and acquiring the three-dimensional grid model according to the top surface depth and the bottom surface depth of each grid column.
8. The method of creating a near-surface model as claimed in claim 1, wherein, The acquiring attribute point data of a plurality of two-dimensional seismic lines specifically includes: acquiring sampling points containing space coordinates and stratum attributes; and acquiring the attribute point data according to the sampling points.
9. The method for building a near-surface model according to claim 1, wherein the obtaining the spatial range of the near-surface model according to the attribute point data specifically comprises: Acquiring a coordinate extremum according to the space coordinates in the attribute point data; and acquiring the space range of the near-surface model according to the coordinate extremum.
10. An apparatus for creating a near-surface model, comprising: The first acquisition unit is used for acquiring attribute point data of a plurality of two-dimensional seismic lines; the first processing unit is used for acquiring the space range of the near-surface model according to the attribute point data; the second acquisition unit is used for acquiring first point data of each two-dimensional seismic line in the plurality of two-dimensional seismic lines at the ground surface and second point data of the top layer; The second processing unit is used for acquiring a first three-dimensional boundary curved surface according to the first point data and the space range of the near-surface model; the third processing unit is used for acquiring a second three-dimensional boundary curved surface according to the second point data and the space range of the near-surface model; a fourth processing unit, configured to obtain valid attribute point data located between the first three-dimensional boundary surface and the second three-dimensional boundary surface in the attribute point data; a fifth processing unit, configured to obtain a three-dimensional mesh model according to a preset mesh dividing parameter, the first three-dimensional boundary surface and the second three-dimensional boundary surface; and the sixth processing unit is used for establishing the near-surface model according to the effective attribute point data and the three-dimensional grid model.
11. A storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the method of creating a near-surface model according to any of claims 1 to 9.
12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of building a near-surface model according to any one of claims 1 to 9 when the computer program is executed.

Description

Method and device for establishing near-surface model, storage medium and electronic equipment Technical Field The invention belongs to the technical field of seismic data processing, and particularly relates to a method and device for establishing a near-surface model, a storage medium and electronic equipment. Background In petroleum geophysical exploration, building an accurate near-surface model is an important basis for complex area seismic exploration. In the related technology, the establishment of a near-surface model mainly depends on data acquired by dense three-dimensional seismic lines, but in an area with complex surface conditions, the full-working-area three-dimensional exploration is often difficult to implement, and only a small amount of data of two-dimensional seismic lines can be acquired. When the traditional interpolation method is adopted to directly establish a near-surface model by the sparse two-dimensional seismic lines, due to the lack of effective constraint on the spatial variation of the near-surface structure, the complex forms of surface relief and a high-speed top interface are difficult to accurately describe, so that the constructed near-surface model has larger deviation from the real geological condition in space geometric form and physical attribute distribution, and the precision of the near-surface model is insufficient. Disclosure of Invention In a first aspect, an embodiment of the invention provides a method for building a near-surface model, which comprises the steps of obtaining attribute point data of a plurality of two-dimensional seismic lines, obtaining a spatial range of the near-surface model according to the attribute point data, obtaining first point data of each two-dimensional seismic line in the plurality of two-dimensional seismic lines at a ground surface and second point data of each two-dimensional seismic line at a top layer, obtaining a first three-dimensional boundary curved surface according to the spatial range of the first point data and the near-surface model, obtaining a second three-dimensional boundary curved surface according to the spatial range of the second point data and the near-surface model, obtaining effective attribute point data between the first three-dimensional boundary curved surface and the second three-dimensional boundary curved surface in the attribute point data, obtaining a three-dimensional grid model according to preset grid dividing parameters and the first three-dimensional boundary curved surface and the second three-dimensional boundary curved surface, and building the near-surface model according to the effective attribute point data and the three-dimensional grid model. In a second aspect, the embodiment of the invention provides a device for establishing a near-surface model, which comprises a first acquisition unit, a first processing unit, a second acquisition unit, a second processing unit, a third processing unit and a fourth processing unit, wherein the first acquisition unit is used for acquiring attribute point data of a plurality of two-dimensional seismic lines, the first processing unit is used for acquiring a spatial range of the near-surface model, the second acquisition unit is used for acquiring first point data of each two-dimensional seismic line positioned on the ground surface and second point data positioned on the top layer, the second processing unit is used for acquiring a first three-dimensional boundary curved surface according to the spatial range of the first point data and the near-surface model, the third processing unit is used for acquiring a second three-dimensional boundary curved surface according to the second point data and the spatial range of the near-surface model, the fourth processing unit is used for acquiring effective attribute point data positioned between the first three-dimensional boundary curved surface and the second three-dimensional boundary curved surface in the attribute point data, the fifth processing unit is used for acquiring a three-dimensional grid model according to preset grid dividing parameters, the first three-dimensional boundary curved surface and the second three-dimensional boundary curved surface, and the sixth processing unit is used for establishing the near-surface model according to the effective attribute point data and the three-dimensional grid model. In a third aspect, embodiments of the present invention provide a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of building a near-surface model as in the first aspect. In a fourth aspect, an embodiment of the invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of building a near-surface model as in the first aspect when the computer program is executed by the p