| 分水岭算法在电成像测井图砾石识别中的最优参数研究 |
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| 引用本文： | 刘文斌,潘保芝,张丽华,郭怀志,蒋必辞.分水岭算法在电成像测井图砾石识别中的最优参数研究[J].世界地质,2017,36(1):234-240. |
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| 作者姓名： | 刘文斌 潘保芝 张丽华 郭怀志 蒋必辞 |
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| 作者单位： | 1. 吉林大学 地球探测科学与技术学院, 长春 130026;
2. 中煤科工集团西安研究院有限公司, 西安 710077 |
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| 摘 要： | 基于电成像测井,将分水岭算法应用到电成像测井图砾石的识别中,分水岭算法在砾石识别应用中的参数选取直接影响到识别效果。针对分水岭算法识别砾石的各个步骤,选取不同的优化参数进行处理,对处理效果进行对比分析,最终确定分水岭算法识别砾石的最优参数,并对吉林王府断陷AA井、BB井和CC井三口井进行实际处理,得到很好的效果。
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| 关 键 词： | 分水岭算法 电成像测井 砾石识别 最优参数 |
| 收稿时间： | 2016-02-05 |
| 修稿时间： | 2016-12-23 |
Optimal parameters of watershed algorithm in gravel recognition of electrical imaging logging figure |
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| LIU Wen-bin,PAN Bao-zhi,ZHANG Li-hua,GUO Huai-zhi,JIANG Bi-ci.Optimal parameters of watershed algorithm in gravel recognition of electrical imaging logging figure[J].World Geology,2017,36(1):234-240. |
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| Authors: | LIU Wen-bin PAN Bao-zhi ZHANG Li-hua GUO Huai-zhi JIANG Bi-ci |
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| Institution: | 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 |
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| 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. |
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| Keywords: | watershed algorithm imaging logging gravel identification optimal parameters |
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