Multiparameter elastic full waveform inversion with improved facies-based regularization
KAUST DepartmentEarth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Seismic Wave Analysis Group
Permanent link to this recordhttp://hdl.handle.net/10754/663471
MetadataShow full item record
AbstractCurrent efforts to utilize full waveform inversion as a tool beyond acoustic imaging applications, for example in reservoir analysis, faces inherent challenges related to the limited resolution and the potential trade-off between the elastic model parameters. Anisotropy parameters are insufficiently updated because of their minor contributions to the surface collected data. Since similar rock formations inside the Earth admit consistent elastic properties and relative values of elasticity and anisotropy parameters (this enables us to define them as a seismic facies), utilizing such localized facies information in FWI can improve the resolution of inverted parameters. We propose a novel approach to use facies-based constraints in elastic anisotropic FWI. We take the uncertainties of the estimated parameters (approximated by radiation patterns) into consideration and improve the quality of estimated facies maps iteratively. A 3D elastic vertical transverse isotropy (VTI) model is used to verify the effectiveness of the proposed method.
CitationZhang, Z., & Alkhalifah., T. (2018). Multiparameter Elastic Full Waveform Inversion with Improved Facies-Based Regularization. 80th EAGE Conference and Exhibition 2018. doi:10.3997/2214-4609.201801568
SponsorsWe thank Juwon Oh, Bingbing Sun, Vladimir Kazei and Yike Liu (IGG, CAS) for their helpful discussions. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.
Conference/Event name80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition