Dimitri Bevc is a team leader in geophysics R & D at Chevron. He has a PhD in Geophysics from Stanford University and MSc in Engineering Geoscience and a BA in Geophysics from the University of California, Berkeley. After finishing his PhD, Dimitri co-founded 3DGeo along with Biondo Biondi. Dimitri's technical interests include integrating geophysical methods with geomechanics and reservoir engineering, with applications to exploration, subsurface integrity, containment, and reservoir management. In addition to full-waveform inversion, Bevc's technology interests include integrating geophysical methods with geomechanics and reservoir engineering, with applications to exploration, subsurface integrity, containment, and reservoir management. Bevc is active on the SEG Research Committee and has organized numerous summer research workshops and postconvention workshops, including a popular series of imaging challenges at the last three SEG annual meetings.
Honors and Awards
- Distinguished Lecturer, Society of Exploration Geophysicist, Fall 2015
- 3DGeo named by IEEE Spectrum as 2008 Technology Winner for 'Solving the Oil Equation', Kaleidoscope Project
- 3DGeo and Repsol named Finalist for Petroleum Economist Awards, Kaleidoscope Project
- Key Note Speaker at National Science Foundation Innovation Conference, 2006
- 3DGeo named one of top 100 Innovative IT companies by INFOWorld in 2001
- Award for Small Business Achievement, California State Assembly 2000, Bay Area Regional Technology Alliance
- Cecil H. Green Fellowship, Stanford University
- Jane Lewis Fellowship, University of California
- Chevron Fellowship, University of California
Fall 2015 SEG Distinguished Lecturer
Full-waveform inversion: Challenges, opportunities, and impact
There has been a great deal of industry activity and interest in full-waveform inversion (FWI) because of its potential to generate accurate high-resolution velocity models. Theoretically, the method has great promise, and computer power seems to be adequate to bring this promise to bear on practical business problems. The promise is not limited to velocity models alone but also includes the possibility of inverting for elastic parameters and rock properties and of FWI becoming an imaging method in itself. Indeed, many of the velocity models that are routinely attained from FWI are interpretable in themselves and could rival migration imaging in terms of resolution and information content.
After a brief overview of FWI, this presentation will focus mostly on what FWI can attain and will examine where and how FWI can impact business decisions. Through an examination of imaging challenges and examples, I will illustrate where FWI is working and bringing value — under what kind of geologic situations and under what kind of data acquisition scenarios. We will examine the challenges to successful deployment of FWI and what steps can be taken to ameliorate those challenges. The discussion should shed light on the question of when FWI can add value and what impact this technology can have.
During the presentation, I will examine the current technical challenges and will explore the path to meet those challenges in the near term. Finally, I will touch on the long-term future promise of FWI beyond velocity estimation: What might it solve for us and how might it change the way we work and the type of information we can get from recorded seismic wavefields