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GEOREF RECORD
Applications of genetic algorithms in exploration and production
Michael D. McCormack, Richard F. Stoisits, Donald J. MacAllister and Kelley D. Crawford
Applications of genetic algorithms in exploration and production
Leading Edge (Tulsa, OK) (June 1999) 18 (6): 716-718
Applications of genetic algorithms in exploration and production
Leading Edge (Tulsa, OK) (June 1999) 18 (6): 716-718
Index Terms/Descriptors
Abstract
The use of optimization algorithms to improve the performance of reservoir engineering systems and production operations has a long and successful history. Likewise, optimization has been applied to seismic processing problems for many years, generally via the least-squares method. More recently, investigations have focused on the use of a new class of advanced optimization methods for near-surface statics computations, velocity analysis, and seismic inversion.
ISSN: 1070-485X
EISSN: 1938-3789
Serial Title: Leading Edge (Tulsa, OK)
Serial Volume: 18
Serial Issue: 6
Title: Applications of genetic algorithms in exploration and production
Affiliation: Optimization Associates,
Plano, TX,
United States
Pages: 716-718
Published: 199906
Text Language: English
Publisher: Society of Exploration Geophysicists,
Tulsa, OK,
United States
DOI:
10.1190/1.1438368
Accession Number: 2001-044016
Categories: Economic geology, geology of energy sources
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Secondary Affiliation: ARCO Exploration and Production,
USA,
United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 200114
