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Ant Colony Optimization And Application Of 3-d Seismic Information For Refined Explaination Of Structure In Mining Section

Posted on:2011-12-07Degree:DoctorType:Dissertation
Country:ChinaCandidate:X C LiFull Text:PDF
GTID:1100360308490069Subject:Mineral prospecting and exploration
Abstract/Summary:PDF Full Text Request
Ant colony optimization algorithm is a branch of the theory of non-linear science. This study established the theory, method and basis for the full space fine interpretation of mine structure using the ant colony optimization algorithm in 3-D seismic information, improved the accuracy and efficiency of structural interpretation. Research shows that such seismic attributes technology as coherent/variance can highlight the discontinuity in space, and the distinguishing ability of the coherent/variance slice is greatly higher than the conventional amplitude slice in the display of faults and anomalous body structure, which make the distinguishing ability of faults and geologic abnormal body greatly improved, and can be used for the fine interpretation of the 3-D seismic structure. This paper firstly apply the ant colony optimization algorithm into coal structure interpretation, and based on the characteristics of ant colony optimization algorithms, determines the ant colony optimization clustering (ACOC) and graph-base search (GBAS) algorithm. Good results have achieved in the application of 3-D seismic exploration data processing and interpretation in the seven panel of Xinglongzhuang colliery.
Keywords/Search Tags:Ant colony optimization, 3-D seismic information, mine structure, fine interpretation
PDF Full Text Request
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