Wave-equation based seismic inversion, seismic data acquisition, and processing
Office: ESB 4019 Phone: 604-822-8628
Personal Website: https://www.slim.eos.ubc.ca
Ph.D., Delft University of Technology, the Netherlands (1997); Visiting Scholar, Stanford (1998); Postdoctoral Fellow, MIT (1999-2002); Faculty Member, UBC (2002 -). Director, UBC Seismic Laboratory for Imaging and Modeling (SLIM).
I am the director of the UBC-Seismic Laboratory for Imaging and Modeling (SLIM), which conducts research in exploration seismology with support from the oil & gas industry. The main focus of SLIM is to leverage insights from recent developments in compressive sensing— spanning mathematics, computer science, and electrical engineering—towards the design and implementation of an imaging technology for severely sub-sampled data. The main outcome of this approach will be a new model for seismic imaging where the costs of acquisition and processing are no longer determined by overly pessimistic sampling criteria. Instead, the costs will depend on transform-domain sparsity of the final image and will therefore no longer grow uncontrollably with the dimensionality of the imaging problem.
Current research projects
The Seismic Imaging by Next-generation BAsis-function Decomposition (SINBAD) Consortium is an industry supported research program supported by the oil & gas industry.
The Dynamic Nonlinear Optimization for Imaging in Seismic Exploration (DNOISE II) Project: is a 5-year NSERC and industry-funded project for research in seismic data acquisition, processing, and imaging. The aim of the DNOISE project is to design the next generation of seismic imaging technology to address fundamental issues related to the quality and cost of seismic data acquisition, the ability to invert exceedingly large data volumes, and the capacity to mitigate non-uniqueness of full-waveform inversion.