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The Research Of Fast Logging Recognition And Productivity Prediction On Special Low Permeability Reservoir In Baibao Region

Posted on:2012-12-15Degree:MasterType:Thesis
Country:ChinaCandidate:F ZhangFull Text:PDF
GTID:2250330395478299Subject:Oil and Natural Gas Engineering
Abstract/Summary:PDF Full Text Request
This paper with the research object of Chang6member of Yanchang formation in Baibao region in Ordos Basin, based on the complex pore structure analysis of low permeability reservoir characteristics of rock-electricityHeterogeneous reservoir log interpretation model and fast logging recognition and productivity prediction on special low permeability reservoir, Establish a technical system of Fast Logging Recognition and Productivity Prediction, provide scientific guidance For the oil field development.The first research of special low permeability reservoir rock electrical properties based on the high precision and high pressure semipermeable membrane array rock electricity experiment device, evaluateof the limitation,of classical Archie model in low permeability reservoir oil saturation calculation build the various pore types coexist adaptive oil saturation evaluation model and practical formulas, Laid the evaluation theoretical foundation.of well logging in special low permeability reservoirMake the reaearch of two kinds of pore structure of reservoir petrophysical classification method FZI and RQI the analysis thinks the RQI method is the most effective, can quickly provide reservoir classification standard,; and based on the reservoir classification and weighted storage coefficient logging productivity ranking prediction technology,establish the complete well logging evaluation system on special low permeability reservoir, so that the spectial low permeability reservoir logging productivity prediction coincidence rate greatly improved.
Keywords/Search Tags:special low permeability reservoir, rock electrical parameter Reservoirclassification productivity prediction by well logging, Biabao region
PDF Full Text Request
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