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Intelligent Interpretation Method of Geological Structure

A geological structure and intelligent technology, applied in neural learning methods, seismology, neural architecture, etc., can solve the problems of inaccurate and unrepresentative geological structure interpretation results, and achieve accurate automatic interpretation and accurate horizon interpretation.

Active Publication Date: 2020-06-16
CHINA UNIV OF MINING & TECH (BEIJING)
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  • Application Information

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Problems solved by technology

This method uses slice data as label data, which is not representative, and the interpretation results of geological structures are not accurate

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  • Intelligent Interpretation Method of Geological Structure
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  • Intelligent Interpretation Method of Geological Structure

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[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0035] With the continuous development of coal resource exploration, the accuracy requirements of seismic data interpretation are getting higher and higher. Initially, stratigraphic interpretation and structural interpretation were performed manually. This method was interpreted by interpreters based on their own geological knowledge and experience, which was time-consuming and lacke...

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Abstract

The invention provides an intelligent interpretation method of geological structure, which relates to the technical field of seismic data analysis, including: using the pre-interpretation results of the original seismic amplitude data to generate label data volumes by assigning values ​​to different types of structures, as a convolutional neural network The training set of the network is used to construct a convolutional neural network model to predict geological structures. Considering the interrelationships between horizons and different types of structures, the interpretation of horizons at structures is clearer, and the geological interpretation of different structures is more accurate.

Description

technical field [0001] The invention relates to the technical field of seismic data analysis, in particular to an intelligent interpretation method for geological structures. Background technique [0002] With the continuous development of coal resource exploration, the accuracy requirements of seismic data interpretation are getting higher and higher. Initially, stratigraphic interpretation and structural interpretation were all done manually. This method was interpreted by interpreters based on their own geological knowledge and experience, which was time-consuming and lacked certain objectivity. [0003] Aiming at the above problems, a current solution is to use the fully convolutional neural network to identify the fault plane, obtain seismic amplitude fault slice data from the three-dimensional seismic amplitude data volume, and calibrate the fault position on the slice data by manual interpretation. Use this slice data as label data. This method uses slice data as la...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30G06K9/62G06N3/04G06N3/08
CPCG01V1/30G06N3/08G01V2210/64G06N3/045G06F18/24147G06F18/241
Inventor 郭银玲彭苏萍杜文凤李冬彭凡
Owner CHINA UNIV OF MINING & TECH (BEIJING)