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Three-dimensional complex geologic model label manufacturing method suitable for machine learning algorithm

A machine learning and complex geological technology, applied in the field of 3D geological model construction, can solve the problem that 3D geological model does not fully conform to the laws of stratum deposition and geomechanics

Active Publication Date: 2020-10-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, from the perspective of sedimentology and geomechanics, the 3D geological model constructed by this method does not fully conform to the laws of strata deposition and geomechanics.

Method used

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  • Three-dimensional complex geologic model label manufacturing method suitable for machine learning algorithm
  • Three-dimensional complex geologic model label manufacturing method suitable for machine learning algorithm
  • Three-dimensional complex geologic model label manufacturing method suitable for machine learning algorithm

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Embodiment Construction

[0036] For the convenience of those skilled in the art to understand the technical content of the present invention, the geological model building technology in the prior art is introduced below:

[0037] Existing geological model building methods:

[0038] This technology is mainly based on three-dimensional geometry and surface fitting theory. It fits the fault plane into a surface with obvious characteristics, and realizes the construction of a three-dimensional geological model by stretching and extruding the surface. The implementation of this technology includes the following steps:

[0039] Step 1: Establish a three-dimensional horizontal layered geological model r(X,Y,Z), whose value is a random number between [-1,1]; r(X,Y,Z) is the seismic compressional wave reflection coefficient of the stratum model .

[0040] Step 2: Add the vertical displacement variable S of the geological body 1 (X,Y,Z), can be expressed as:

[0041]

[0042] in, It is a linear scale f...

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Abstract

The invention discloses a three-dimensional complex geologic model label manufacturing method suitable for a machine learning algorithm, is applied to the seismic data processing field, and aims at solving the problem that a three-dimensional geological model constructed in the prior art does not completely conform to stratum deposition and geomechanics rules. The method is based on the theories of stratigraphic sedimentology, tectonic geology, geotectonic mechanics and the like; a stratum deposition rule and a stratum stress condition generated by a fault are considered; factors such as connection among karst caves, holes, fractures and faults are avoided; a three-dimensional complex geologic model label manufacturing method suitable for a machine learning algorithm is provided, construction of a large number of three-dimensional geologic models conforming to actual geological conditions is achieved, a seismic wave field response simulation technology is combined, and conditions are provided for extracting complex geologic structure oil and gas reservoir related parameters from seismic data through the machine learning algorithm.

Description

technical field [0001] The invention belongs to the field of seismic data processing, in particular to a three-dimensional geological model construction technology. Background technique [0002] The depth of exploration and development of oil and gas reservoirs is getting deeper and deeper, and the complexity of geological structures is getting higher and higher. Conventional oil and gas exploration and development methods need to go through multiple links, resulting in low research efficiency, long exploration cycle, low accuracy of reservoir description, and high cost, which has become more and more inadequate. Aiming at the difficulties faced by conventional oil and gas exploration and development, machine learning algorithms provide new ideas and means for the exploration and development of oil and gas reservoirs with complex geological structures. In recent years, the application of machine learning to oil and gas exploration and development has become more and more po...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/05G06N20/00G01V99/00
CPCG06T17/05G06N20/00G06T2219/004G01V20/00
Inventor 蔡涵鹏丁家敏敬鹏王峣钧胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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