Seismic imaging on the Intel Paragon. (English) Zbl 1010.68543
Summary: A key to reducing the risks and costs associated with oil and gas exploration is the fast, accurate imaging of complex geologies, such as salt domes in the Gulf of Mexico and overthrust regions in U.S. onshore regions. Prestack depth migration generally yields the most accurate images, and one approach to this is to solve the scalar-wave equation using finite differences.
Current industry computational capabilities are insufficient for the application of finite-difference, 3-D, prestack, depth-migration algorithms. A 3-D seismic data can be several terabytes in size, and the multiple runs necessary to refine the velocity model may take many years. The oil companies and seismic contractors need to perform complete velocity field refinements in weeks and single iterations overnight. High-performance computers and state-of-the-art algorithms and software are required to meet this need.
As part of an ongoing ACTI project funded by the U.S. Department of Energy, we have developed a finite-difference, 3-D prestack, depth-migration code for the Intel Paragon. The goal of this work is to demonstrate that massively parallel computers (thousands of processors) can be used efficiently for seismic imaging, and that sufficient computing power exists (or soon will exist) to make finite-difference, prestack, depth migration practical for oil and gas exploration.
Current industry computational capabilities are insufficient for the application of finite-difference, 3-D, prestack, depth-migration algorithms. A 3-D seismic data can be several terabytes in size, and the multiple runs necessary to refine the velocity model may take many years. The oil companies and seismic contractors need to perform complete velocity field refinements in weeks and single iterations overnight. High-performance computers and state-of-the-art algorithms and software are required to meet this need.
As part of an ongoing ACTI project funded by the U.S. Department of Energy, we have developed a finite-difference, 3-D prestack, depth-migration code for the Intel Paragon. The goal of this work is to demonstrate that massively parallel computers (thousands of processors) can be used efficiently for seismic imaging, and that sufficient computing power exists (or soon will exist) to make finite-difference, prestack, depth migration practical for oil and gas exploration.
MSC:
| 68U99 | Computing methodologies and applications |
| 68U20 | Simulation (MSC2010) |
| 68M99 | Computer system organization |
References:
| [1] | Claerbout, J. F., Imaging the Earth’s Interior (1985), Blackwell Scientific: Blackwell Scientific Boston |
| [2] | Yilmaz, O., (Seismic Data Processing, Investigations in Geophysics No. 2 (1987), Society of Exploration Geophysicists: Society of Exploration Geophysicists Tulsa, OK) |
| [3] | Li, Z., Compensating finite-difference errors in 3-D migration and modeling, Geophysics, 56, 1650-1660 (October 1991) |
| [4] | Ma, Z., Finite-difference migration with higher order approximation, (1981 Joint Mtg. Chinese Geophys. Soc. and Society of Exploration Geophysicists (1981), Society of Exploration Geophysicists) |
| [5] | Lee, M. W.; Suh, S. Y., Optimization of one-way wave equations, Geophysics, 50, 1634-1637 (October 1985) |
| [6] | Graves, R.; Clayton, R., Modeling acoustic waves with paraxial extrapolators, Geophysics, 55, 306-319 (March 1990) |
| [7] | Clayton, R.; Engquist, B., Absorbing boundary conditions for wave-equation migration, Geophysics, 45, 895-904 (May 1980) |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
