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The Acoustic Parameters Expeirmental Research Of Fractured Rocks And The Tog Evaluationof Fractured Reservoirs

Posted on:2016-01-30Degree:MasterType:Thesis
Country:ChinaCandidate:F CaoFull Text:PDF
GTID:2180330467498867Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
With the rapid development of world economy, the demand and importance of energyare steadily increased, which makes higher requirements for exploration andexploitation of oil and gas, and the fractured reservoir as the important explorationobjects, has drawn great attention of both at home and abroad.This paper studied fracture rocks from three aspects, basing on conventionallogging data and imaging logging data. First quantitative experiment was used to studythe characteristics of the fractured rock acoustic parameters, including therelationship between acoustic parameters and the water saturation, acousticparameters and the relationship between the crack width and shear wave splitting andthe relationship between the fracture width.Secondly, based on the conventional logging data, this paper improved particleswarm algorithm, and came up the innovation of the new composite algorithm, theadaptive particle swarm-support vector machine (SVM) algorithm, and used matlabto make the method implementation, and predicted fracture development situation. Thenmy paper introduce watershed algorithm for processing of imaging logging data,through matlab realized watershed algorithm, extracted the fracture parameters,which are included in the imaging logging data.Finally this paper processed factual data of Chengshen well A, interval of2820mto2890m depth, using adaptive particle swarm-support vector machine (SVM) algorithmto predict fracture development section, combining with the quantitativerelationship, which is obtained by experiments of acoustic parameters, that processedDSI data and get information of fracture parameters, which contrast with theartificial fracture parameters, which are based on Ciflog software, got good results.
Keywords/Search Tags:Well logging, fracture identification, fracture parameters, acousticparameters, watershed algorithm, support vector machine, particle swarmoptimization
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