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Reserch Of Sensitively Elastic Parameters In Clastic Reservoirs Of Shaximiao Formation In Xinchang Structure

Posted on:2011-01-21Degree:MasterType:Thesis
Country:ChinaCandidate:C JiangFull Text:PDF
GTID:2120360308459362Subject:Earth Exploration and Information Technology
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This article is based on State Plan for Development of Basic Research in Key Areas——The forcasting technology for elastic parameters of clastic reservoir by log welling in Sichuan basin. Considering the various reservoir characters of the Shaximiao Formation and the limitations of cooperative reservoir forcasting by log welling and seismic methods, we concluded the elastic parameter of different lithology and fluid parameter. Through our research, we have high lightened the sensitive elastic parameters of excellent reservoirs in amid intervals and achieved the plate and the table of lithology and fluid elastic sensitive parameter. Through the tight combination between seimic and log welling interpretation, we have arrived at a effective system for seismic and well cooperative inversion and well improved the reservoir forcasting technology.First, we have both quantificationally and qualitatively studied the lithology and fluid nature of the reservoir based on the BP neural network simulation,normal probability function,optimization method,resistivity porosity cross plot,etc. All this work has provided us with a definitive subject for elastic parameter research.In addition, our research area has no Shear Wave data, so we chose Castagna formula and VRH model as the preferable method for Shear Wave forcasting based on the results of previous researches. The model has been spread to all the wells in the area which has no shear wave data, and resulted in an excellent situation providing an appreciable criterion for the further study.Finally, we achieved the Young's modulus,shear modulus,bulk modulus,Poisson ratio,etc using porosity, rock volume and density. Then, we mapped the crossplot of each two elastic parameters and described their ability to discriminate the fluid and the lithology achieving the plate and the table of lithology and fluid elastic sensitive parameter. All the work in this article has provided a technological support for the further exploration of Shaximiao formation in Xinchang Gas Field.
Keywords/Search Tags:Shaximiao formation, lithology identification, gas bearing forcasting, BP neural network, optimization method, elastic parameter
PDF Full Text Request
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