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Three-dimensional Geological Modeling Of Multi-scale Reservoirs And Quantitative Classification And Evaluation Of Reservoirs In The Tight Reservoir Of The Gao 3 Member Of Qijia Area,Songliao Basin

Posted on:2020-09-09Degree:MasterType:Thesis
Country:ChinaCandidate:M H GuoFull Text:PDF
GTID:2370330572491798Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
In this paper,the tight reservoir of the third member of the Gaotaizi oil layer in the Qijia area,Gulong Sag,is taken as the research object,based on the analysis of the core experiment.The current situation focusing on oil and gas exploration is guided by theories of sedimentary petrology,petroleum geology,sedimentary microfacies geology,and reservoir modeling.Based on a large number of geological data such as earthquakes,well logs,core data and analytical data,the structural model,attribute model and reservoir classification evaluation techniques of the third member of the Gaotaizi reservoir are studied in depth.Through a large number of studies on earthquakes,well logs,and core data,combined with the theoretical basis of predecessors on sedimentary microfacies and physical properties,a corner-mesh-based structural model is established for the Gao-III reservoir.By adjusting the corner grid to fit the ground plane,the problem of distortion of the fault layer is solved,and the three-dimensional spatial morphology of the geological body is restored.At the same time,the inter-well porosity properties were predicted by using different scale porosity data,sedimentary microfacies data and established structural models.The nanometer,micro and millimeter-level porosity property models of the Gao-III oil layer group 1 with different phase-control ratios were established.Finally,based on the various mercury intrusion parameters in the conventional mercury intrusion test report,eight parameters reflecting the reservoir are optimized,and the characteristics of different parameters are analyzed,and the data processing method of the applicable parameters is determined,the principal component analysis method was used to define the weighting factors of each parameter,and the reservoir clustering analysis method based on weighted Mahalanobis distance iterative method and Bayesian discriminant analysis method were used to classify the reservoirs in the Gao-III reservoirs of the Jiajia area,three types of reservoirs of excellent,medium and poor were determined,and the classification formula of reservoir was determined.A method for classification evaluation of tight reservoirs was established.
Keywords/Search Tags:Qijia area, structural modeling, multi-scale phase control attribute modeling, reservoir quantitative classification evaluation
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