Heuristic search method for optimal zonation of well logs
Journal Article
·
· Math. Geol.; (United States)
Optimal zonation of well-log data, that is, determining an optimal number of major segments such as waveforms in a log, may be achieved by employing a criterion of minimum variance (within a segment) and a heuristic search of potential boundary (link) points of digitized log data. This new method is based on an algorithm originally devised by D.M. Hawkins and D.F. Merriam in 1973. Their method can be improved by introducing a heuristic search procedure, thereby decreasing computer time by 7- to 50-fold, depending on the number of data points and configuration of the logs. Time saving is proportional to the size of the data set. Three examples - one hypothetical and two real-are used to illustrate the modification of the Hawkins and Merriam algorithm.
- Research Organization:
- Univ. of Alabama, University
- OSTI ID:
- 6848998
- Journal Information:
- Math. Geol.; (United States), Journal Name: Math. Geol.; (United States) Vol. 18:5; ISSN MATGE
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
58 GEOSCIENCES
580203* -- Geophysics-- Geophysical Survey Methods-- (1980-1989)
ALGORITHMS
ARTIFICIAL INTELLIGENCE
COMPUTER CALCULATIONS
DYNAMIC PROGRAMMING
EFFICIENCY
EXPLORATION
EXPLORATORY WELLS
GEOLOGIC DEPOSITS
GEOLOGY
GEOPHYSICAL SURVEYS
MAPPING
MATHEMATICAL LOGIC
PATTERN RECOGNITION
PROGRAMMING
STRATIGRAPHY
SURVEYS
WAVE FORMS
WELL LOGGING
WELLS
580203* -- Geophysics-- Geophysical Survey Methods-- (1980-1989)
ALGORITHMS
ARTIFICIAL INTELLIGENCE
COMPUTER CALCULATIONS
DYNAMIC PROGRAMMING
EFFICIENCY
EXPLORATION
EXPLORATORY WELLS
GEOLOGIC DEPOSITS
GEOLOGY
GEOPHYSICAL SURVEYS
MAPPING
MATHEMATICAL LOGIC
PATTERN RECOGNITION
PROGRAMMING
STRATIGRAPHY
SURVEYS
WAVE FORMS
WELL LOGGING
WELLS