A heuristic search method for optimal zonation of well logs |
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| Authors: | Hui-Chuan Chen and J H Fang |
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| Institution: | (1) Department of Computer Science, The University of Alabama, 35486 University, Alabama;(2) Department of Geology, The University of Alabama, 35486 University, Alabama |
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| Abstract: | 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.Presented at the Geological Society of America Annual Meeting, Orlando, Florida, 1985. |
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| Keywords: | minimum variance segmentation well logs |
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