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Title: Global optimization for multisensor fusion in seismic imaging

Abstract

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.

Authors:
; ;  [1]
  1. Oak Ridge National Lab., TN (United States). Center for Engineering Systems Advanced Research
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Research, Washington, DC (United States)
OSTI Identifier:
486091
Report Number(s):
CONF-9705121-3
ON: DE97007496; TRN: AHC29713%%38
DOE Contract Number:  
AC05-96OR22464
Resource Type:
Conference
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
Subject:
58 GEOSCIENCES; SEISMIC SURVEYS; IMAGE PROCESSING; GEOLOGIC STRUCTURES; CALCULATION METHODS; ALGORITHMS

Citation Formats

Barhen, J, Protopopescu, V, and Reister, D. Global optimization for multisensor fusion in seismic imaging. United States: N. p., 1997. Web.
Barhen, J, Protopopescu, V, & Reister, D. Global optimization for multisensor fusion in seismic imaging. United States.
Barhen, J, Protopopescu, V, and Reister, D. 1997. "Global optimization for multisensor fusion in seismic imaging". United States. https://www.osti.gov/servlets/purl/486091.
@article{osti_486091,
title = {Global optimization for multisensor fusion in seismic imaging},
author = {Barhen, J and Protopopescu, V and Reister, D},
abstractNote = {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.},
doi = {},
url = {https://www.osti.gov/biblio/486091}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jun 01 00:00:00 EDT 1997},
month = {Sun Jun 01 00:00:00 EDT 1997}
}

Conference:
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