西南石油大学学报(自然科学版) ›› 2018, Vol. 40 ›› Issue (6): 131-138.DOI: 10.11885/j.issn.1674-5086.2018.03.18.01

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Logging-while-drilling Stratigraphic Identification Techniques for Horizontal Wells for Coalbed Methane

ZHANG He, ZHANG Gong   

  1. School of Mechatronic and Electrical Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • Received:2018-03-18 Online:2018-12-01 Published:2018-12-01

Abstract: Existing methods of logging-while-drilling stratigraphic identification for horizontal wells for coalbed methane are mainly based on the logging-while-downhole drilling data. However, the accuracy of these methods needs to be improved. This study employs horizontal drilling jig configurations widely adopted for coalbed methane exploration in China, and takes the cost-effectiveness into account. Four parameters are selected and analyzed, namely natural gamma, interval transit time, compensated density, and compensated neutron. The support vector machine algorithm is used to normalize data collected for these parameters, and to optimize the parameters with the appropriate kernel functions. By classifying the final outputs, this study realizes logging-while-drilling stratigraphic identification for horizontal wells for coalbed methane. Such an identification method is accurate enough for field applications.

Key words: coalbed methane, horizontal well, support vector machine, well-logging data, logging-while-drilling stratigraphic identification

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