Joint elastic and petrophysical inversion using prestack seismic and well log data
Zhiyong Li 1 3 Beibei Song 1 Jiashu Zhang 2 Guangmin Hu 1
+ Author Affiliations
- Author Affiliations
1 School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.
2 Sichuan Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, Sichuan 610031, China.
3 Corresponding author. Email: 359081137@qq.com
Exploration Geophysics 47(4) 331-340 https://doi.org/10.1071/EG14074
Submitted: 23 July 2014 Accepted: 23 August 2015 Published: 17 September 2015
Abstract
Seismic inverse problems aim to infer the properties of subsurface geology, such as elastic and petrophysical properties. Existing seismic inversion methods for the joint estimation of these properties are mainly based either on Gassmann theory for prestack seismic data processed with stochastic optimisation techniques or on the Wyllie formula for poststack seismic data processed by deterministic optimisation techniques. The purpose of this study is to develop a strategy for the joint estimation of elastic and petrophysical properties from prestack seismic data based on Gassmann equations with deterministic optimisation techniques. Given poor-quality prestack seismic data, two regularisation parameters are introduced to control the trade-off between fidelity to the data and the smoothness of the solution. An appropriate linearised system of equations for the joint model update is derived from Newton’s method, which fits seismic data, the description of the rock physics medium and prior information, simultaneously. We show the preliminary results obtained with the proposed framework for synthetic and real data examples.
Key words: deterministic inversion, joint inversion, rock physics, stochastic inversion.
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