Direct inversion of Young's and Poisson impedances for fluid discrimination
Direct inversion of Young's and Poisson impedances for fluid discrimination
复制标题
直接反演杨氏阻抗和泊松阻抗以进行流体辨别
DOI：
10.1111/gfl.12202
复制
发表时间：
2016-12
期刊：
影响因子：
1.7
通讯作者：
Yin Xingyao
中科院分区：
文献类型：
--
作者：
Zong Zhaoyun;Yin Xingyao
利用叠前地震资料进行地震反演，如振幅随炮检距变化（AVO）反演，是估算常规油气藏和非常规油气藏弹性参数、预测岩性和判别流体的重要手段。杨氏模量与密度的乘积（杨氏阻抗，YI）和泊松比与密度的乘积（泊松比阻抗，PI）在页岩气、石油等非常规资源的岩性预测和流体判别中显示出巨大的潜力。密度反演对叠前数据的高质量要求，使得传统的叠前反演方法难以准确地估计YI和PI。在这项研究中，直接AVO反演方法提出了估计YI，PI和密度直接从P波地震数据。初步推导了线性化的P波反射率近似方程。利用包括4种典型AVO类型的5种模型，通过与精确P波反射率方程和常用的包含P、S波速度和密度的线性化反射率近似方程的比较，验证了线性化P波反射率方程的准确性。参数敏感性分析表明，如果在反演算法中使用去相关方案，则可以从P波反射率合理地估计YI和PI。此外，一个实用的AVO反演使用贝叶斯方案建议直接反演的YI和PI叠前地震数据。合成和现场数据的例子证明了所提出的反演方法的可行性，估计YI和PI，并显示这种方法在流体判别的潜力。
Seismic inversion with prestack seismic data such as amplitude variation with offsets (AVO) inversion is an important tool in the estimation of elastic parameters for predicting lithology and discriminating fluid in conventional or unconventional hydrocarbon reservoirs. The product of Young's modulus and density (Young's impedance, YI) and the product of Poisson ratio and density (Poisson ratio impedance, PI) show great potential in lithology prediction and fluid discrimination of unconventional resources such as shale gas or oil. The high quality requirements for prestack data in density inversion render the estimation of YI and PI arduous and inaccurate with a conventional prestack inversion approach. In this study, a direct AVO inversion approach is proposed to estimate YI, PI, and density directly from P-wave seismic data. The linearized P-wave reflectivity approximate equation in terms of YI, PI, and density is initially derived. Five models, including four typical AVO classes, are utilized to verify the accuracy of the derived linearized P-wave reflectivity equation in comparison with the exact P-wave reflectivity equation and the frequently used linearized reflectivity approximate equation involving P- and S-wave velocities and density. Parameter sensitivity analysis illustrates that YI and PI can reasonably be estimated from P-wave reflectivity if a decorrelation scheme is utilized in the inversion algorithm. In addition, a pragmatic AVO inversion using a Bayesian scheme is suggested for the direct inversion of YI and PI from prestack seismic data. Synthetic and field data examples demonstrate the feasibility of the proposed inversion approach in the estimation of YI and PI and show the potential of this approach in fluid discrimination.
登录
查看更多内容
影响因子：
2.6
作者：
G. Smith;P. M. Gidlow
通讯作者：
G. Smith;P. M. Gidlow
影响因子：
1.4
作者：
Z. Zong;Xingyao Yin;Guo-chen Wu
通讯作者：
Z. Zong;Xingyao Yin;Guo-chen Wu
DOI：
10.11575/prism/15244
发表时间：
2005-11
期刊：
--
影响因子：
--
作者：
J. Downton
通讯作者：
J. Downton
影响因子：
3.3
作者：
S. Rutherford;Robert H. Williams
通讯作者：
S. Rutherford;Robert H. Williams
影响因子：
3.3
作者：
Z. Zong;Xingyao Yin;Guo-chen Wu
通讯作者：
Z. Zong;Xingyao Yin;Guo-chen Wu