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Mathematical Morphology Used In Extraction Of Tectonic Feature When Interpreting Seismic Data

Posted on:2017-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:J ChenFull Text:PDF
GTID:2310330563950511Subject:Geophysics
Abstract/Summary:PDF Full Text Request
One of the most important geological phenomenon in seismic exploration is fault structure,so the interpretation of fault structure is the key problem in the processing and interpretation of seismic data.The purpose of this paper is to use mathematical morphology theory that differs from other conventional methods to process seismic data.The fundamental basis of this method is mathematical morphology,and we can use it to process the real seismic data,intend to suppress reflection signals of stratum and reserve diffraction signals that can instruct faults or folds.The main content of this paper is to apply mathematical morphology to the extraction of tectonic feature when we interpret seismic data.And its specific content:Firstly of this paper,explained the developments of diffracted wave separation,seismic coherent body and the mathematical morphology techniques.And then author introduce the basic theory,basic operations and combinations of these operations and the basic principles of mathematical morphology.And author analyze some factors that will affect the filtering effect and how these factors play a role in signal processing of this method.Following author discuss specific applications of using mathematical morphology to separate diffracted waves in two kinds of simple synthetic seismogram and a fault forward model.Finally according to the results,author illustrate the specific application in seismic interpretation tectonic feature extraction with morphology method.And author use different lengths of structural elements and multi-scale morphology to process seismic data and make a analysis about these results.Then author compare these results with the same data's coherent body and get a association between these two methods.
Keywords/Search Tags:Oil Prospecting, Mathematical Morphology, Diffracted Wave Separation, Structure Feature Extraction, Coherence Technology
PDF Full Text Request
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