题目：Integrated anisotropy model building from well log to seismic data
Anisotropy parameters become increasingly important in seismic imaging and reservoir characterization in modern seismic exploration industry. However, anisotropy parameters are not directly measured by well log and less constrained by seismic data compared with P- and S-wave velocities. In this talk, we provide an integrated anisotropy model building workflow, where anisotropy parameters are estimated from vertical well logs, seismic kinematic information, as well as seismic amplitude information. The whole workflow features on the statistical nature of each modeling and inversion step, thus the resulting models are not only consistent with all available data, but also may provide statistical information for subsequent lithological and fluid inversion.
Dr. Elita Li joined the Department of Civil and Environmental Engineering at the National University of Singapore as an assistant professor in 2016. Before coming to Singapore, Dr. Li did her postdoctoral research at Massachusetts Institute of Technology, holding a joint position in the Earth Resources Laboratory and the Department of Mathematics. Dr. Li received her Ph.D. and M.S. degrees in Geophysics from Stanford University in 2014 and 2010, respectively. She obtained her B.S. degree in Information and Computational Science from China University of Petroleum, Beijing in 2008. Her research interests include, but not limited to, seismic wave simulation, seismic inversion for structural imaging, subsurface characterization with deterministic and stochastic methods, data integration with multi-physical data, seismic monitoring for reservoir and civil purposes, and digital signal and image processing.