Identification of reservoir characteristics based on seismic velocity tomography using microearthquake method in "x" geothermal field

F. Fathan, Y. Daud

Research output: Contribution to journalConference articlepeer-review

Abstract

This research studies microearthquake (MEQ) data analysis in "X" geothermal field. The data was recorded in two phases; before and during drilling, with a total number of 2863 events recorded. The quality assessment method was applied using wadati diagram analysis in order to select the best quality data for advance processing. The result shows that the MEQ events are having trend of Vp/Vs ratio around 1.76. The MEQ data then processed using tomography inversion technique to obtain the image of subsurface seismic velocity structure. The results of seismic tomography inversion shows anomaly pattern which consistent with the lithology and geological structure. The results also shows a good agreement with the interpretation of resistivity section from magnetotelluric (MT) data, as well as from geochemical data. The region infered as reservoir zone are observed with dominantly high Vp/Vs anomaly which indicates incompressible characteristics that may relate to existence of water content, while the low Vp/Vs anomaly which indicates steam cap existence are not observed in this region. This pattern of anomaly leads to inference that the reservoir characteristics are dominated with liquid phase of fluid.

Original languageEnglish
Article number012068
JournalIOP Conference Series: Earth and Environmental Science
Volume538
Issue number1
DOIs
Publication statusPublished - 28 Jul 2020
Event3rd Life and Environmental Sciences Academics Forum, LEAF 2019 - Depok, Indonesia
Duration: 11 Jul 2019 → …

Keywords

  • exploration
  • Geothermal
  • microearthquake method
  • reservoir fluid characteristics
  • seismic velocity tomography

Fingerprint Dive into the research topics of 'Identification of reservoir characteristics based on seismic velocity tomography using microearthquake method in "x" geothermal field'. Together they form a unique fingerprint.

Cite this