Abstract

Microseepages is one way to identify the existence of oil and gas below the surface of the earth. Identification of microseepages could be done using remote sensing approaches. One of the remote sensing data that can be used is Landsat 8. The purpose of this study is to map the potential of microseepages on the ground surface of West Tugu oil and gas field, North West Java Basin, Indonesia. The Landsat 8 data processing were performed including radiometric and geometric corrections, and vegetation indices calculation. The vegetation indices calculated in this study are Normalized Differences Vegetation Index (NDVI), Enhanced Normalized Differences Vegetation Index (ENDVI) and Leaf Area Index (LAI). Based on the vegetation indices, we detected that physical condition of vegetation anomaly served as microseepages location. The results showed that microseepages is identified in the south to the east of the oil and gas field presented by vegetation anomaly. Field survey confirmed the possibility of microseepages is located at yellowish leaf vegetation, high spectral of the leaf at the visible wavelength and low magnetic susceptibility.

Details

Title
Utilization of Vegetation Indices to Interpret the Possibility of Oil and Gas Microseepages at Ground Surface
Author
Susantoro, T M 1 ; Wikantika, K 2 ; Saepuloh, A 2 ; Harsolumakso, A H 3 

 Center for Remote Sensing, Bandung Institute of Technology (ITB), Indonesia; Research and Development Center for Oil and Gas Technology “LEMIGAS”, Ministry of Energy and Mineral Resources, Indonesia; Faculty of Earth Sciences and Technology, Bandung Institute of Technology (ITB), Indonesia 
 Center for Remote Sensing, Bandung Institute of Technology (ITB), Indonesia; Faculty of Earth Sciences and Technology, Bandung Institute of Technology (ITB), Indonesia; ForMIND Institute (Indonesian Young Researcher Forum 
 Faculty of Earth Sciences and Technology, Bandung Institute of Technology (ITB), Indonesia 
Publication year
2018
Publication date
Apr 2018
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2559566646
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.