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Research On Seismic Prediction Of Qianjiang Continental Oil Shale Reservoir

Posted on:2021-03-19Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhaoFull Text:PDF
GTID:2480306563486864Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
As the most common unconventional oil and gas resources,shale oil has become a major breakthrough to solve the shortage of oil and gas reserves in China.Qianjiang sag is located in the middle of jianghan basin with abundant oil and gas reserves.However,due to the lack of shale oil exploitation experience in China and the lack of systematic research techniques,it is of great practical significance to study the shale oil reservoir prediction in Qianjiang sag.The main reservoir type of Qianjiang sag is intersalt shale oil reservoir,and the study shows that shale usually has strong anisotropy.In this paper,the physical model of shale anisotropy is firstly established for the anisotropy of shale.Taking the anisotropy SCA+DEM model as the core and combining with the brown-korringa fluid replacement model,an anisotropy shale model that conforms to the actual geological conditions of the working area is established.Through accurate Zoeppritz equation of VTI media is derived at the same time,the bayesian inversion under the framework of the cauchy distribution are introduced to conventional reservoir elastic parameters of inversion precision on the nonlinear VTI media AVO inversion method is proposed,through the study of the inversion of Qianjiang sag of the actual work area,the initial inversion results,proved that this method is effective.Paper finally by using rock physics model and the actual work area rock physics analysis of anisotropic parameters and elastic parameter,design three kinds of reservoir sensitivity parameters combination,sensitive and direct inversion of AVO inversion parameters combination,through the analysis of 3 d inversion results,can effectively predict the forecast of shale reservoir.It provides some methods for reservoir prediction research in Qianjiang sag.
Keywords/Search Tags:Qianjiang sag, Shale reservoir, Anisotropic petrophysical model, VTI medium AVO inversion, Analysis of sensitive parameters, Shale reservoir prediction
PDF Full Text Request
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