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Characteristics And Quality Evaluation Of Tight Reservoirs In Jilin Wangfu Gas Field

Posted on:2021-07-15Degree:MasterType:Thesis
Country:ChinaCandidate:J W YangFull Text:PDF
GTID:2480306563983099Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
In recent years,the gas test in the tight reservoirs of the Shahezi Formation in the Wangfu Fault Depression,Jilin Province shows good oil and gas display,and has good prospects for exploration and development.However,the problems of lithology identification,reservoir space type classification,pore structure and reservoir evaluation have not yet been solved.Based on well logging data,core data and slice data,this paper analyzes the relationship between reservoir lithology,electrical properties,physical properties,gas content,brittleness,and source rock properties,and expands the reservoir quality parameters.In-depth research,and ultimately establish a method suitable for the evaluation of reservoir quality in this area.Using core data,logging data and slice data,Bayesian method was used to identify the lithology of the study area.Aiming at the problem of strong heterogeneity in the study area and large errors in the prediction of porosity and permeability by conventional methods,this paper establishes a model of porosity and permeability by using machine learning methods and dividing flow units.Compared with the classic Archie formula,the Indonesian equation calculates saturation more accurately.Through the analysis of sensitive parameters,multiple regression and neural network methods were used to establish the brittleness and organic carbon model.Based on the interpretation results of physical properties and brittleness,the reservoir quality evaluation parameters are constructed,and the tight reservoirs in the study area are divided into three types.Statistics show that the type I reservoirs are mainly distributed in the first member of Shahe,which provides suggestions for the next well placement in the study area.
Keywords/Search Tags:Evaluation Wangfu fault depression, Tight reservoir, Parameter prediction, Reservoir evaluation
PDF Full Text Request
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