SBIR Phase II: Parallel Processing of Time-Lapse Seismic Data Via the Internet

点击翻译按钮获取中文摘要

This Small Business Innovation Research (SBIR) Phase II project concerns the processing and analysis of time-lapse seismic data on parallel computers, using the Internet to control the processing flow and visualize the results. In recent years, there has been exponential growth in time-lapse seismic project activity. Time-lapse seismic analysis facilitates the management of oil and gas reservoirs by imaging fluid movement in the reservoir over time. The results are used to guide reservoir management decisions-such as where to place a new well or where to inject water, gas, or steam to stimulate hydrocarbon movement-and help maximize the life of both new and existing fields while minimizing recovery costs. The computer algorithms needed to process time-lapse seismic data are complex and require advanced computational hardware-typically multiprocessor Unix workstations or clusters of personal computers-that many potential customers do not have. The proposed innovation will allow customers to process their data on a centralized PC cluster, using the Internet to control the processing and to visualize the results remotely. The proposed innovation will improve the links between the components of the time-lapse seismic workflow, leading to greater understanding and more widespread commercial acceptance of the technology.Potential applications of the research proposed by Fourth Wave Imaging include petroleum industry mapping of by passed oil, monitoring of costly injected fluids, and imaging flow compartmentalization and the hydraulic properties of faults and fractures. Non-petroleum applications include monitoring groundwater reserves, subsurface monitoring of contaminant plumes and environmental clean-up projects. The web-based parallel software system developed for this project could be applied to other computer-intensive fields such as earthquake seismology and medical and satellite imaging. Tools from this web-based software platform such as those for modeling rock physics and seismic data may also be useful for educational purposes.