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| A method for improving precision of log model-building |
| LiuTangyan1, Zheng Yong1, Fu Rongshan1, Wang Shaomin2 |
| Department of Earth and Space Science, Chinese University of Science andTechnology, Hefei City, AnhuiProvince, 230036, China |
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Abstract The paper presents a new method that based on the insensitivity of L1 norm to separate off-group points data in inverse theory to remove off-group points data when logging model is set up.The method first builds up the initial value for equation parameters by L1 norm,then removes off-group points data iteratively by using maximum distance method.The final log mode builds up a log interpretation model by using Uussian hypothesis(least square method)in data without off-group points data.The application results show that the method can finish automatic deletion of off-group points data,having objective deletingstandard.The application of the method to set up log appreciation model satisfies demand for precision and its operation is suitable to standardize.
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Received: 11 April 2001
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2002, Vol. 37 
