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Seismic Reservoir Prediction Frompinghu Formation To Huagang Formation Of A Structure In Xihu Depression At East China Sea

Posted on:2018-06-10Degree:MasterType:Thesis
Country:ChinaCandidate:J Y WangFull Text:PDF
GTID:2370330596952773Subject:Geological engineering
Abstract/Summary:PDF Full Text Request
A structure in Xihu depression at East China Sea is located in the south ofWest Lake sag in the East China Sea basin,as a long axis direction of NNE direction of large compressional anticline faulted anticline traps.We can find good oil and gas shows from H4 group to P6 group,but it is too deep and the lithology is too tight.Since the special geological background often caused by the terrible seismic reflection and the bad electrical characteristics.The lack of reliable mode of sedimentary and the lack of the goodseismic reflection method to find the effective reservoir and no enough drilling wells makes it difficult topredict the study area.To solvethose problems by using the synthetic seismogram calibration andhorizon tracing to build a stratigraphic framework.In the process of the reservoir prediction which is based on the seismic attributes,firstlyoptimizes two kinds ofattributes,using the micro slicing technique to analysis the distribution of sand body in the longitudinal direction.In the process of the reservoir prediction whichis based on the seismic inversion,the pseudo acoustic curve reconstruction not only reflects the reservoir impedance and the velocity change,but also highlightsthe differences of lithology.Combined with seismic data and log data,the inversion results provides high resolution characterization of sand body distribution.The porosity inversion can be carried out by using the correlation between porosity and pseudo wave impedance.Finally,on the basis of the prediction of the spatial distribution of effective sand body,the distribution of effective reservoir is predicted.Promoting the construction of the evaluation of the drilling as soon as possible.
Keywords/Search Tags:Analysis of Seismic Attributes, Seismic Inversion, Distribution of sand body
PDF Full Text Request
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