Application of a 3D orthorhombic FWI to a field data set from the North Sea
KAUST DepartmentEarth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Seismic Wave Analysis Group
Permanent link to this recordhttp://hdl.handle.net/10754/663474
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Abstract"The application of a full-wave form inversion (FWI) to field data offers many challenges especially when the anisotropy footprint on the data is large and must be handled by our modeling and inversion methodology. However, by acknowledging the anisotropic nature of the medium, we share a successful application of an acoustic orthorhombic FWI to a 3D field data set from the North sea. We properly parameterize the acoustic orthorhombic model with one velocity and five dimensionless anisotropy parameters. Based on previous parameter resolution studies and given the quality of the data, we focus on inverting 4 parameters only (out of the 6 describing an acoustic orthorhombic model). An amplitude independent objective function helps us mitigate the amplitude fitting issue due to the acoustic approximation. Moreover, model regularization and constraints help push the model parameters toward high resolution and geologically consistent structures. The inverted model shows good agreement with well-log information, especially at the reservoir location."
CitationMasmoudi, N., & Alkhalifah, T. (2018). Application of a 3d Orthorhombic FWI to a Field Data Set from the North Sea. 80th EAGE Conference and Exhibition 2018. doi:10.3997/2214-4609.201801378
SponsorsThe authors would like to thank Statoil ASA and the Volve license partners ExxonMobil E&P Norway AS and Bayerngas Norge AS, for the release of the Volve data. The views expressed in this abstract are the views of the authors and do not necessarily reflect the views of Statoil ASA and the Volve field license partners. The authors would like to thank Marianne Houbiers from Statoil, who gave some very helpful suggestions and corrections. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia The authors also thank KAUST for financial support, Oh. J. and Zhang. Z. for many useful discussions.
Conference/Event name80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition