【摘要】 阐述了塔北隆起英买力地区舒善河组砂岩与寒武系_奥陶系潜山复合型油气藏的薄储层预测难点和研究意义,提出了针对薄储层预测的方法技术.平面上采用多属性信息融合方法,通过薄储层地震属性的提取与优选,计算地震属性与钻井砂体厚度的相关系数,优选出与砂体厚度相关性较好的地震属性,并采用统计回归法预测了砂体平面分布;纵向上采用地质统计学高分辨反演,通过测井资料标准化、低频模型建立、岩性曲线计算、概率密度函数分析、变差函数分析、马尔科夫链蒙特卡洛模拟与反演实现,刻画了薄储层有利砂体分布.研究发现舒善河组薄储层砂体主要分布于英买力古潜山北斜坡的缓坡带,呈北西-南东向条带状展布,预测厚度与钻遇厚度基本一致,符合率高达85%以上.更多还原

【Abstract】 This paper analysis the significance and problems of thin reservoir prediction in complex reservoirs in Tarim basin north uplift Yengimahalla area,which are constitute by shushanhe formation sand and Cambrian_Ordovician buriedhill,and presents relevant techniques and methods of thin reservoir prediction.The plane distribution of thin reservoirwas based on multiple attribute information fusion method,and through the extraction and optimization of seismic attributes,calculated the correlation coefficient about seismic attributes with drilling sand body thickness,optimized seismic attributes which have good correlation with thickness of sand body,and using the statistical regression method predicting the distribution of thin sand bodies;The vertical using high resolution geostatistics inversion predict the thin reservoir distribution,by logging data standardization,the low frequency model building,lithology curve calculation,probability density function analysis, variogram analysis, Markoff Montecalo simulation and inversion,predicting the thin reservoir sand body distribution.The study found the shushanhe formation thin reservoir sand body is mainly distributed in the north slope of Yengimahalla buried-hill,and presenting NW-SE banded distribution,the predicted thickness with the drilled thickness are basic consistent,the coincidence rate is as high as 85%.更多还原