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Application Of Imaging Logging Data In Reservoir Fluid Identification

Posted on:2008-12-17Degree:MasterType:Thesis
Country:ChinaCandidate:M WangFull Text:PDF
GTID:2120360218963422Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
Reservoir fluid identification is the key content of logging interpretation.Although lots of research results have been given, there still not form a set ofsystematic theory of every single imaging logging method yet. In this paper,on base of geological data, experimental data and logging data, the reservoirfluid response characteristic under NMR, HDIL and X-mac logging has beenanalyzed detailedly, and corresponding methods of fluid identification havealso been studied. Furthermore, we propose a comprehensive recognitionmethod of fluid property basing on both conventional and imaging loggingdata. The following content are finished.1. Detailed study of logging response characteristics in Anpeng Area. Thetesting and commissioning data are integrated to fix the reservoir standard andthe lower parameter limit of oil and gas zones2.On base of the experimental analysis, the NMR models of porosity,permeability and water saturation have been established. A lot of methodsincluding differential spectrum method (DSM), shifted spectrum method(SSM), SIMET, average value method and so on are applied to identify thereservoir fluid property in Anpeng Area.3.The method of fluid identification by using HDIL data has been studied.Furthermore, the calculation method of water saturation has also been derivedfor the quantitative evaluation.4.Two kinds of identify method have been summarized for the qualitativeidentification of fluid property by using XMAC. According to the logging and testing data, the standard of gas zone in Anpeng Area has been given asfollowing: the ratio of DTC and DTS is greater than 0.57; the Poisson's ratio isless than 0.27 and the bulk compressibility is greater than 0.028.5.By using fuzzy recognition and selecting the characteristic parameter torealize the comprehensive evaluation of reservoir fluid property on base of bothimaging and conventional logging data.
Keywords/Search Tags:nuclear magnetic resonance (NMR), dipole acoustic logging(MAC), high definition induction logging (HDIL), fluid identification, imaging logging
PDF Full Text Request
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