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Study Of Sedimentary Facies Of Denglouku Reservoir In Weixing-Shengping Area

Posted on:2013-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2230330374465829Subject:Solid Geophysics
Abstract/Summary:PDF Full Text Request
In this paper, in the Weixing-shengping block of songliao basin, for example,in thecondition of sparse well network, According to seismic attributes and seismic faciestechnology, the research of precipitation facie for parts of Denglouku are made, following thebasic theorem of seismic attributes, we make a systematic prove of the extraction methods,optimization attributes and the predication of sandy body through the attribution. at the sametime, based on the seismic facies analysis, the research of precipitation facie are made.for theresearch area of less well data, how to make a study of sedimentation through seismicmessage is a problem worth to discuss.it is important for the selection of regional riskexploration target and effective lateral prediction of reservoir.Under the control of district Petroleum Geology, Through the observation of corefrom18wells and logging trace in the work area, the study of single phase is made. This isthe basis of study on sedimentary facies in the work area. Through the careful interpretationof seismic data for four, three, two,three layer of Denglouku. We could determine structuralcharacteristics of the three layers. Extracted from the peak spectral frequency properties ofthree layers, the average instantaneous phase attributes, attributes such as maximum peakamplitude of nearly20kinds by using Landmark software. Attribute optimization programsare written to optimize five properties in each interval by using cluster analysis andcorrelation analysis, and to predict sand thickness and porosity in well points by using neuralnetwork, the correct method of property analysis is the key, In terms of classification forseismic facies, Using principal components analysis method(PCA) and neural networktechnology,Three-layer seismic waves are divided into several categories, will changeseismic amplitude into Seismic Facies Classification. Combined Seismic Facies map,sandbody thickness map and logging data analysis and research,and change them into precipitationfacie map, The results show that it is hard for conventional seismic interpretation techniquesto distinguish the add information (such asmicrofacies boundary), the results are moreobjective,and overcome the randomness of the previous division and inference of human. It ismore advantageous to provide technical support for the oil field detection.
Keywords/Search Tags:seismic attribute, sand body prediction, cluster analysis, seismic facies, sedimentary facies
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