Method for classifying supervised waveforms in three-dimensional seismic signal

A three-dimensional seismic and waveform classification technology, applied in seismic signal processing and other directions, to achieve the effect of reducing complexity, reducing impact, and reducing design complexity

Inactive Publication Date: 2014-01-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0011] Aiming at the difficulties of the seismic signal waveform classification technology and the shortcomings of the existing unsupervised waveform classification technology, the present invention proposes a supervised waveform classification method in the three-dimensional seismic signal, which is used to solve the shortcomings of the existing unsupervised waveform classification method and the waveform Difficulties in Classification

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  • Method for classifying supervised waveforms in three-dimensional seismic signal
  • Method for classifying supervised waveforms in three-dimensional seismic signal
  • Method for classifying supervised waveforms in three-dimensional seismic signal

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[0062] A number of specific implementations with the same principle as the present invention will be described in detail below in conjunction with the accompanying drawings, so as to enhance the understanding of the principle of the present invention.

[0063] In view of the shortcomings of the existing commonly used 3D seismic signal waveform classification methods and the characteristics of waveform classification itself, the supervised waveform classification scheme proposed by the present invention mainly includes data preprocessing, feature optimization based on GA algorithm and classification recognition based on SVM classification algorithm. most. The general flow chart is as follows figure 2 Shown: a supervised waveform classification method in a three-dimensional seismic signal of the present embodiment, comprising steps: a, data preprocessing: including data noise reduction processing, extracting target interval data, and establishing training samples for well loggi...

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Abstract

The invention provides a method for classifying supervised waveforms in a three-dimensional seismic signal. The method mainly includes the steps of data preprocessing, feature selection and classified identification. The method has the advantages that the method is based on three-dimensional seismic signal resources and well logging data information, extracted attributive characters are optimized through a genetic algorithm, analyzed three-dimensional seismic target interval data undergoes waveform classification by means of an SVM classification algorithm, different seismic facies are recognized, and therefore reliable supports are provided for follow-up seismic resource explanation, and reliability of lithology prediction, sand body prediction, fractured reservoir prediction, elusive reservoir prediction and the like is improved. Compared with an SVM design classifier, the method carries out feature selection through addition of the genetic algorithm, design complexity of the SVM classifier is reduced, and therefore waveform classification processing efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of waveform classification and processing in seismic signals, and relates to a method for classifying waveforms of three-dimensional seismic signals, in particular to a method for classifying supervised waveforms. Background technique [0002] Waveform classification technology based on seismic signals is an important means for seismic interpreters to analyze underground reservoirs and stratigraphic structures. Reasonable and accurate seismic signal waveform classification results can truly reflect the underground reservoir and stratigraphic structure, which is conducive to seismic interpreters to accurately interpret the underground structure, thereby improving the prediction of lithology, sand body prediction, and fractured oil and gas. Reliability of reservoir prediction and hidden oil and gas reservoir prediction, thereby reducing exploration risks, saving exploration costs, and bringing huge economic an...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
Inventor 钱峰刘明夫胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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