Borehole-to-surface electrical data interpretation at Takigami geothermal field in Kyushu, Japan using neural network

Ho Trong Long, Hideki Mizunaga, Keisuke Ushijima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper deals with the application of neural network technique for the three-dimension interpretation of mise-à-la-masse data from the Takigami geothermal field in Kyushu, which is one of the most active geothermal area in Japan. To understand the structure of the geothermal field, a 4-layers neural network had been developed. The training algorithm for the network is back-propagation with five paradigms, e.g. on-line back-propagation, batch back-propagation, delta-bar-delta, resilient propagation (RPROP) and quick propagation, were applied to find out the most efficient one. The network was trained with 3-D mise-à-la-masse simulation data set, including 864 cases of a single anomalous resistivity block of 10 Ohm.m moving in the model mesh with background resistivity of 100 Ohm.m. To generate the training data set, a high accuracy algorithm for 3-D numerical simulation, based on finite difference method and the algorithm of the singularity removal, was used. The trained network was tested by a synthetic data and then applied for the real field data set of the study area. The obtained results are remarkably correlated with the other available data from the field such as previous geoelectrical data, formation temperatures, lost circulation zones, hence, promising zones for production or re-injection can be indicated quickly at site of Takigami geothermal field.

Original languageEnglish
Title of host publicationSociety of Exploration Geophysicists - SEG International Exposition and 76tth Annual Meeting 2006, SEG 2006
PublisherSociety of Exploration Geophysicists
Pages1318-1322
Number of pages5
ISBN (Print)9781604236972
Publication statusPublished - Jan 1 2018
EventSociety of Exploration Geophysicists International Exposition and 76tth Annual Meeting 2006, SEG 2006 - New Orleans, United States
Duration: Oct 1 2006Oct 6 2006

Publication series

NameSociety of Exploration Geophysicists - SEG International Exposition and 76tth Annual Meeting 2006, SEG 2006

Other

OtherSociety of Exploration Geophysicists International Exposition and 76tth Annual Meeting 2006, SEG 2006
CountryUnited States
CityNew Orleans
Period10/1/0610/6/06

All Science Journal Classification (ASJC) codes

  • Geophysics

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    Long, H. T., Mizunaga, H., & Ushijima, K. (2018). Borehole-to-surface electrical data interpretation at Takigami geothermal field in Kyushu, Japan using neural network. In Society of Exploration Geophysicists - SEG International Exposition and 76tth Annual Meeting 2006, SEG 2006 (pp. 1318-1322). (Society of Exploration Geophysicists - SEG International Exposition and 76tth Annual Meeting 2006, SEG 2006). Society of Exploration Geophysicists.