Support Vector Machine in Volcanic Reservoir Forecast: East Slope in Xujiaweizi Depression

详细信息   

• 责任者：Zhang Erhua (Exploration and Development Research Institute of Daqing Oilfield Company Ltd. ; Daqing 163712 ; China) ; Guan Xiaowei
• 刊名：Chinese Journal of Geophysics
• 出版年：2011
• 卷期：54(2)
• 关键词：结晶岩类储集层 ; crystalline reservoirs ; 地震属性 ; seismic attributes ; 支持向量机 ; support vector machine ; 松辽平原 ; Songliao Plain
• 页码：p.428-432
• 图表：4 illus., 19 refs.
• 分类号：1600
• issnNo：ISSN0001-5733
• isbnNo：CN11-2074/P

摘要

In Xujiaweizi Depression of northern Songliao Basin, the development of volcanic reservoir dominated largely gas accumulation. However, an accurate description for volcanic distribution is always difficult for geologists, because of its complex lithology, lateral heterogeneity and poor comparison between wells. With regard to this problem, the authors present the model of support vector machine as a solution. By the analyses of the combination of seismic attributes, this model can be used to indicate volcanic reservoir. The thickness of volcanic rocks and its distribution, which are predicted through using this method, can reflect its sedimentation model and maintain the lateral resolution of seismic as well as the overall trend.