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Study On Seismic Data Integration Method In Reservoir Modeling

Posted on:2015-08-10Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z G JinFull Text:PDF
GTID:1360330491957914Subject:Mineral prospecting and exploration
Abstract/Summary:PDF Full Text Request
The Sul56 well block in the West of Sulige gas reservoir is the preferred target area to build gas well production capacity because of the thicker sandstone,the big gas reservoir area,and relatively good reservoir development prospects.However,because of the heterogeneity of effective reservoir sandstone,limitations of 2D seismic line data,and the lower the degree of well control distribution,the risk of producition capacity building of the well block is big,and especially the risk of the horizontal well development is bigger.With the current less drilling well data,the work of the processing and interpretation of ew three-dimensional seismic data are carried out,With the result of the seismic reservoir inversion conbined of the drilling well information,the three-dimensional spatial distribution of effective reservoir characteristics is described.The precise three-dimensional geological model of the reservoir is the basis of the horizontal wells deployment in the next step.At first,about the gas reservoir prediction of He8 and Shanl Member in the Sul 56 well block,on the basis of a clear understanding of the previous study,the basic law of the regional geology of the area is studied.With new three-dimensional seismic data from seismic acquisition of the research area,based on the principles of the high fidelity,the high resolution,the high signal to noise ratio,the three-dimensional seismic data processing was carried out for the seismic reservoir prediction.On the use of the drilling well log data,the characteristics of the lithology of the area and the gas reservoir are analysied.Based on the well shear wave log curve reconstruction,the rock parameters and geophysical characteristics of the work are studied.With the AVO forward modeling analysis of the response curve by distinguishing several different types of the roek interfaces,the AVO type of the gas reservoirs sandstone in the research area are summarized.By pre-stack simultaneous inversion of the three-dimensional seismic data,the gas reservoir prediction is carried out by the various seismic inversion reuslt data.A variety of methods to predict the distribution of the gas reservoir are used,the favorable areas of the gas reservoir are divided,and then the position of the gas horizonal wells are proposed for the gas reservoir development in the next step.The following results are achieved through the study.1.The reservoir physical properties of He8 and Shanl Member are poor and the difference of the effective reservoir distribution between wells is larger in Sul56 well block,so the drilling data and the three-dimensional seismic data are conbined for the effective gas reservoir distribution forecast.2.Based on analysis of geophysical response characteristics of the tight sandstone gas reservoir,by the shear wave well log curve reconstruction,with the tight sandstone gas reservoirs AVO forward modeling studies,the AVO gradient-intercept crossplot figure templates of the different gas sandstone interfaces are established.3.For the Sul56 well block,the combination types of the petrophysical parameters for the better gas-bearing sandstone reservoir discrimination are analyzed and the more sensitive parameter combination types are optimized and are selected.4.The effective reservoir prediction by the mythod of the seismic attributes analysis,the AVO gradient-intercept analysis,the three-dimensional well-seismic geological modeling are carried out.The three-dimensional well-seismic geological modeling based on the probability field integration has the better prediction result.5.Through the distribution prediction of the sandstone and the gas reservoir,three categories of the favorable areas are divided and are used to provide recommendations for the development of the horizontal wells in the next step,which achieve the good development results of the gas reservoir.
Keywords/Search Tags:Sulige, reservoir modeling, gas reservoir characterization, pre-stack inversion
PDF Full Text Request
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