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.
出处
《物探与化探》
CAS
CSCD
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)
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
gray background
turbidite lithology
lithological identification factor F
prestack inversion
method validation
