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砂岩储层AVO特征影响因素的不确定性研究
引用本文:何涛,史謌,邹长春,任科英,裴发根.砂岩储层AVO特征影响因素的不确定性研究[J].地球物理学报,2011,54(6):1584-1591.
作者姓名:何涛  史謌  邹长春  任科英  裴发根
作者单位:1. 北京大学地球与空间科学学院造山带与地壳演化教育部重点实验室,北京 100871; 2. 地下信息探测技术与仪器教育部重点实验室(中国地质大学, 北京),北京 100083; 3. 中国海洋石油有限公司湛江分公司,广东湛江 524057
基金项目:国家自然科学基金项目,教育部留学回国人员科研启动基金资助项目及中国海洋石油有限公司湛江分公司研究院攻关项目
摘    要:传统的地震AVO正演研究多采用参数固定的岩石物理模型,而实际地层属性参数在勘探范围内具有不确定性.本研究以目标地层岩芯样品的实验室测试数据为基础,通过样品孔隙度和干燥状态下纵、横波阻抗的高度线性关系对岩石物理模型进行了简化,并结合实验测量和测井解释建立了主要模型参数的概率密度函数.采用Monte-Carlo随机正演和G...

关 键 词:砂岩储层  AVO交会图  不确定性  概率密度函数  岩石物理模型
收稿时间:2010-06-25

The uncertainty analysis of the key factors that affect the AVO attributes in sandstone reservoir
HE Tao,SHI Ge,ZOU Chang-Chun,REN Ke-Ying,PEI Fa-Gen.The uncertainty analysis of the key factors that affect the AVO attributes in sandstone reservoir[J].Chinese Journal of Geophysics,2011,54(6):1584-1591.
Authors:HE Tao  SHI Ge  ZOU Chang-Chun  REN Ke-Ying  PEI Fa-Gen
Institution:1. Key Laboratory of Orogenic Belts and Crustal Evolution (School of Earth and Space Sciences, Peking University), Ministry of Education, Beijing 100871, China; 2. Key Laboratory of Geo-detection (China University of Geosciences, Beijing), Ministry of Education, Beijing 100083, China; 3. Zhanjiang Branch of China National Offshore Oil Corporation Ltd., Guangdong Zhanjiang 524057, China
Abstract:Traditional seismic AVO forward study normally uses constant parameters to construct rock physics model, but these parameters in real formations have uncertainties across exploration area. Using laboratory measurements of cores from target formation, the rock physics model was simplified with relationships of reservoir sandstone porosities and P- and S-wave impedances in dry condition. To study influences of model parameter uncertainties, the probability density functions of key model parameters were introduced based on core measurement and well logging analysis. Using Monte-Carlo method and Gassmann fluid replacement technique, the AVO responses of models were obtained for saturation fluids as brine, oil and gas. The comparative analysis indicates that the velocity uncertainty of covering mud is the primary factor affecting the fluid cluster's distribution and deviation from water background trend on AVO intercept-gradient crossplots, while the porosity uncertainty of sand is also significantly affecting but less than covering mud. Thus, the correct interpretation of AVO anomalies for real seismic data requires forward simulation on probabilistic rock physics model to find out the most likely reservoir and fluid characters.
Keywords:Sandstone reservoir  AVO crossplot  Uncertainty  Probability density function  Rock physics model
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