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Heuristic search method for optimal zonation of well logs

Conference · · Geol. Soc. Am., Abstr. Programs; (United States)
OSTI ID:6662529

Optimal zonation of well-log data, that is, finding an optimal number of major segments of like 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 Hawkins and Merriam. The authors have improved their method by introducing a heuristic search procedure, thereby decreasing the computing time by 7-to-50 fold, depending on the number of data points used and the complexity of the logs. Greater time saving is accomplished as the number of points is increased. Three examples - one hypothetical and two real - are used to illustrate their new method vis-a-vis the Hawkins and Merriam algorithm.

Research Organization:
Univ. of Alabama, University (USA)
OSTI ID:
6662529
Report Number(s):
CONF-8510489-
Journal Information:
Geol. Soc. Am., Abstr. Programs; (United States), Journal Name: Geol. Soc. Am., Abstr. Programs; (United States) Vol. 17; ISSN GAAPB
Country of Publication:
United States
Language:
English