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Fine Geological Modeling Of The PU-I Formation In Pubei Oilfield

Posted on:2009-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:S Z LiFull Text:PDF
GTID:2120360245499716Subject:Mineral prospecting and exploration
Abstract/Summary:PDF Full Text Request
The PU-I formation in the Pubei oilfield is in the environment of meandering river delta sedimentary, the reservoir sand is narrow and thin, the width of the sand is about 100-200m, although the average distance between wells is 250-300m, it is still hard to control the range of the sand, how to predicate the boundary of the channel is very important and difficult. The paper carried out geological modeling research of the description of the channel and the 3D quantitative characterization of reservoir property.The paper predicated the boundary of narrow and thin sand by studying the developmental probability models,firstly,to get multi-realizations of channel with SIS,secondly,to analyse these models and construct the probability models of channel,at last,to select the model according to the following conditions:whether the statistic characteristic of the input is close to the realization's,whether the realization is fit for the geological static model,besides,I modify it based on the property model and get the 3D facies model finally.The wide spaced wells testing indicates the matching rate of predicated thinkness of channel reaches 85.2%,the other microfacies'are above 70%,hence,the technique has high precision.Because the Pu taohua oil laye is shallow buried,diagenesis has little influence,the characteristic of the reservoir property is controlled by microfacies,so I does the property modeling under the direction of Facies Controlled method.I apply sequential Gaussian simulation and collocated simulation for porosity and permeability.The probability distribution consistence check indicate the high precision.I carry out the dynamic test with numerical simulation technique.The result indicates the historical matching curve error of water content and liquid producing capacity are less than 5%, the model can be used for further study in the history matching and distribution of remaining oil.
Keywords/Search Tags:narrow,thin sand reservoir, analysis of uncertainty, developmental probability models, predicted model, facies controlled modeling
PDF Full Text Request
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