2017, 36(1) 234-240 DOI:   10.3969/j.issn.1004-5589.2017.01.022  ISSN: 1004-5589 CN: 22-1111/P
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Keywords
watershed algorithm
imaging logging
gravel identification
optimal parameters
Authors
PubMed

Optimal parameters of watershed algorithm in gravel recognition of electrical imaging logging figure

LIU Wen-bin1, PAN Bao-zhi1, ZHANG Li-hua1, GUO Huai-zhi1, JIANG Bi-ci2

1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China;
2. China Coal Research Institute Xi'an Science and Industry Group, Xi'an 710077, China

Abstract��

Based on the electrical imaging logging, the watershed algorithm is applied to the identification of the gravel in the electrical imaging logging figure, and the parameter selection of the watershed algorithm directly affects the recognition result. Different optimal parameters are selected for each step of watershed algorithm to identify the gravel and the processing results are compared and analyzed. Finally the optimal parameters of watershed algorithm to identify the gravel are determined. The result is good when the optimal parameters is used to AA wells, BB and CC wells of Jilin Wangfu Fault Depression.

Keywords�� watershed algorithm   imaging logging   gravel identification   optimal parameters  
Received 2016-02-05 Revised 2016-12-23 Online:  
DOI: 10.3969/j.issn.1004-5589.2017.01.022
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Corresponding Authors:
Email: panbaozhi@jlu.edu.cn
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