Global optimization for multisensor fusion in seismic imaging
- Oak Ridge National Lab., TN (United States). Center for Engineering Systems Advanced Research
The accurate imaging of subsurface structures requires the fusion of data collected from large arrays of seismic sensors. The fusion process is formulated as an optimization problem and yields an extremely complex energy surface. Due to the very large number of local minima to be explored and escaped from, the seismic imaging problem has typically been tackled with stochastic optimization methods based on Monte Carlo techniques. Unfortunately, these algorithms are very cumbersome and computationally intensive. Here, the authors present TRUST--a novel deterministic algorithm for global optimization that they apply to seismic imaging. The excellent results demonstrate that TRUST may provide the necessary breakthrough to address major scientific and technological challenges in fields as diverse as seismic modeling, process optimization, and protein engineering.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Energy Research, Washington, DC (United States)
- DOE Contract Number:
- AC05-96OR22464
- OSTI ID:
- 486091
- Report Number(s):
- CONF-9705121-3; ON: DE97007496; TRN: AHC29713%%38
- Resource Relation:
- Conference: 15. symposium on energy engineering sciences, Argonne, IL (United States), 14-16 May 1997; Other Information: PBD: [1997]
- Country of Publication:
- United States
- Language:
- English
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