灰质发育背景下识别浊积岩优质储层的技术研究——以东营凹陷董集洼陷为例  

Study on the identification of turbidite high-quality reservoirs under gray background: a case study in dongji sag of Dongying depression

作　　者：周游[1,2] 高刚[1,2] 桂志先[1,2] 周倩[1,2] 蔡伟祥[3] 龚屹 杨亚华[1,2] 

机构地区：[1]长江大学油气资源与勘探技术教育部重点实验室,湖北武汉430100 [2]长江大学地球物理与石油资源学院,湖北武汉430100 [3]中石化重庆页岩气勘探开发有限公司,重庆408014

出　　处：《物探与化探》2017年第5期899-906,共8页Geophysical and Geochemical Exploration

基　　金：国家自然科学基金项目(41374134);中国石油科技创新基金项目(2015D-5006-0301)

摘　　要：近年来东营凹陷的浊积岩油气藏勘探难度越来越大,储层中混有灰质是影响识别浊积岩油气藏的主要因素。为了精确识别灰质发育区的浊积岩储层,对该区开展砂、灰、泥岩的纵横波速度、密度、拉梅参数等岩石物理参数分析,利用直方图技术优选出该区敏感的岩性识别因子F,根据Aki-Richards近似方程合理推导得到包含该岩性识别因子F的AVO近似公式,并借鉴Connolly叠前反演方法得到基于岩性识别因子F的叠前弹性阻抗方程。应用该方程对模型和实际资料进行了试算分析,试算结果表明,该方法能够在灰质发育区有效识别浊积岩储层。In recent years, the success rate of turbidite reservoirs in Dongying depression is reduced, and the existence of gray matter is the main factor affecting the prediction accuracy of turbidite reservoir.In order to accurately identify the turbidite reservoirs in the gray matter development area, the petrophysical parameters such as the velocity, density and Lame parameters of sand, gray and mudstone are analyzed and using the histogram technique to select the effective lithological recognition factor F in the region.The AVO equation is de- duced based on the sensitive reservoir recognition factor and F according to the Aki-Richards approximation equation.The prestack elas- tic impedance equation based on lithology recognition factor F is obtained by using Connolly pre-stack inversion method.The equation is used to analyze the model and the actual data and the results show that the method can effectively identify the turbidite reservoir in the gray matter development area.

关 键 词：灰质背景 浊积岩 岩性识别因子F 叠前反演 方法验证 

分 类 号：P631.4[天文地球—地质矿产勘探]