ISSN 1004-4140
CN 11-3017/P
Volume 28 Issue 3
Jun.  2019
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PENG Yan, ZHANG Xueqiang, LU Peng, FU Kangwei. Prediction of Terrestrial Gas Hydrate Accumulation Based on Support Vector Regression[J]. CT Theory and Applications, 2019, 28(3): 299-310. DOI: 10.15953/j.1004-4140.2019.28.03.03
Citation: PENG Yan, ZHANG Xueqiang, LU Peng, FU Kangwei. Prediction of Terrestrial Gas Hydrate Accumulation Based on Support Vector Regression[J]. CT Theory and Applications, 2019, 28(3): 299-310. DOI: 10.15953/j.1004-4140.2019.28.03.03

Prediction of Terrestrial Gas Hydrate Accumulation Based on Support Vector Regression

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  • Received Date: January 07, 2019
  • Available Online: November 05, 2021
  • Natural gas hydrate, commonly known as "combustible ice", had been extensively surveyed. Since the discovery of natural gas hydrate in Muli area of Qinghai province for the first time. However, the geological structure in this area was complex and gas hydrate accumulation rule is unclear. It's difficult for a single geophysics method to make full use of information to effectively find gas hydrate anomalies. In this paper, the features which were favorable for gas hydrate accumulation were extracted from geology, geophysics and geochemistry data In Muli area, and the corresponding transformation rules were proposed. Support vector regression was used to carry out the study of gas hydrate prediction, and the results were evaluated. The results showed that the drilling with hydrates and the drilling without hydrates were consistent with the prediction. The algorithm was effective and practical, and it could offer the guide for future exploration.
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