Abstract: In the past few decades, advances in image-processing algorithms and computer technology have greatly contributed to the geological interpretation of seismic datasets. Large areas of petroleum-bearing sedimentary basins are now imageable via advanced 3D seismic techniques and parallel processing. An interpreter’s computer desktop can now access integrated databases containing complete seismic and well log data needed for quantitative analysis, thus allowing better assessment and measurement of oil/gas reservoirs. In particular, the challenges of accurate fault detection and the tracking of ancient river channels can now be solved by imaging algorithms, such as coherency and curvature analysis. Removal of random noises and artifacts, such as processing footprints, can be solved by edge/structure-preserving smoothing algorithms. Picking of seismic traveltimes of noisy data are now possible with the aid of edge-preserving filters. Separation of seismic arrivals can be achieved via image segmentation in time-scale domain, etc. In addition, parallel computers provide synergy in achieving high fidelity results via these advanced algorithms. The integration of image processing algorithms and advanced computing techniques makes quantitative interpretation possible. In this lecture, I will review image processing techniques to:
Bridge the gap between modern image processing practiced by the scientific community at large and the world of geology and reflection seismology;
Show some examples of applying image processing algorithms to identify geological features;
Understand the link between image processing and seismic attribute computation
Bio: Saleh A. Al-Dossary began his work at Saudi Aramco in the Dhahran Geophysical Research Group, contributing to the edge-preserving and smoothing developments. He now works in the Exploration Application Services Department, developing new seismic processing and attributes algorithms. In 1991, Saleh received his B.S. degree in Computer Science with a minor in Geophysics from the New Mexico Institute of Mining and Technology, Socorro, NM. He received his M.S. degree in 1997 from Stanford University, Palo Alto, CA, and in 2004 he received his Ph.D. from the University of Houston, Houston, TX, both in Geophysics.
Saleh holds five patents, and is an applicant for five additional patents in seismic edge preserving and detection technology. He is the author and coauthor of several articles published by the Society of Exploration Geophysicists (SEG).
Saleh received the Distinguished Employee Award in Saudi Aramco’s Exploration Application Services Department in 1999, the Outstanding Student Award from the University of Houston in 2003 and Saudi Aramco Excellence Award in 2015.