| 页岩气储层纵横波叠前联合反演方法 |
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| 引用本文： | 张广智,杜炳毅,李海山,陈怀震,李振振,印兴耀.页岩气储层纵横波叠前联合反演方法[J].地球物理学报,2014,57(12):4141-4149. |
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| 作者姓名： | 张广智 杜炳毅 李海山 陈怀震 李振振 印兴耀 |
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| 作者单位： | 1. 中国石油大学(华东)地球科学与技术学院, 青岛 266580;
2. 中国石油勘探开发研究院西北分院, 兰州 730020 |
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| 基金项目： | 国家重点基础研究发展计划(973)项目(2013CB228604,2014CB239201);国家油气重大专项(2011ZX05014-001-010HZ,2011ZX05014-001-006-XY570);中国石油大学(华东)自主创新科研计划项目(13CX06019A);中国石化地球物理重点实验室开放研究基金联合资助. |
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| 摘 要： | 杨氏模量与密度乘积(Eρ)能够突显页岩气储层的异常特征,泊松比能够指示储层的含流体性.与常规叠前弹性参数反演相比,基于Eρ、泊松比和密度的叠前纵横波联合反演可以获得更加精确的弹性参数,为页岩气储层识别和流体预测提供可靠的依据.首先,推导了基于Eρ、泊松比和密度的纵波和转换波反射系数近似方程,利用典型模型对新推导的反射系数方程做精度分析,当入射角小于30°时,新推导的反射系数公式具有较高的精度;其次,充分利用纵波和转换波的信息,在贝叶斯的框架下,建立叠前纵横波联合反演流程,进行Eρ、泊松比和密度的直接反演,避免了间接反演带来的累积误差;最后,利用实际工区井模型数据进行算法测试,结果表明,该反演方法所获得的Eρ、泊松比和密度的估计值与真实值吻合较好,满足精细地震反演的精度要求.
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| 关 键 词： | 叠前联合反演 页岩气储层 贝叶斯理论 杨氏模量 泊松比 |
| 收稿时间： | 2014-01-02 |
The method of joint pre-stack inversion of PP and P-SV waves in shale gas reservoirs |
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| ZHANG Guang-Zhi,DU Bing-Yi,LI Hai-Shan,CHEN Huai-Zhen,LI Zhen-Zhen,YIN Xing-Yao.The method of joint pre-stack inversion of PP and P-SV waves in shale gas reservoirs[J].Chinese Journal of Geophysics,2014,57(12):4141-4149. |
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| Authors: | ZHANG Guang-Zhi DU Bing-Yi LI Hai-Shan CHEN Huai-Zhen LI Zhen-Zhen YIN Xing-Yao |
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| Institution: | 1. School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China;
2. Northwest Branch, Research Institute of Petroleum Exploration & Development, Petrochina, Lanzhou 730020, China |
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| Abstract: | The product of Young's modulus and density can highlight abnormal characteristic of shale gas reservoirs. Poisson ratio can indicate fluid property. Compared with conventional pre-stack elastic parameter inversion, pre-stack joint inversion based on the product of Young's modulus and density, Poisson ratio and density can achieve more accurate elastic parameters, and provide reliable geophysical basis for shale gas reservoir identification and fluid prediction. First, this paper deduces PP wave and P-SV wave approximate reflection coefficient (RC) based on the product of Young's modulus and density, Poisson ratio and density. And it uses the typical model to test accuracy of newly derived RC equation. It shows that the new RC equation has a high precision when the incident angle is less than 30 degree. Then, this work constructs pre-stack joint inversion workflow under the framework of Bayes theorem to invert the product of Young's modulus and density, Poisson ratio and density directly, considering PP and PS wave information. And it avoids error accumulation from indirect inversion. Finally, this study tests the method using a well model of a real project. The results indicate that the inverted product of Young's modulus and density, Poisson ratio and density of joint pre-stack inversion can fit very well with the original curves and can meet the accuracy of subtle seismic inversion. |
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| Keywords: | Pre-stack joint inversion Shale gas reservoir Bayes theorem Young's modulus Poisson ratio |
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