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Landsat 8-Based Surface Temperature Anomaly and Hydrocarbon Prospectivity: A Study in Part of Assam–Arakan Fold Belt, North East India


Affiliations
1 Oil and Natural Gas Corporation Limited, Assam–Arakan Fold Belt Exploratory Asset, Silchar 788 026, India
2 Indian Institute of Remote Sensing, 4, Kalidas Road, Dehradun 248 001, India
3 Department of Applied Geology, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India
 

Subsurface hydrocarbon reservoirs act as effective thermal barriers to the Earth’s heat flow from the interior to the surface. As a result, a positive thermal anomaly below a hydrocarbon reservoir and a negative thermal anomaly on the surface above the reservoir are observed. The use of remote sensing satellite images is a rapid, cost-effective and accurate method of determining land surface temperature of a region. The present study uses recent Landsat 8 operational land imager-thermal infrared sensor images to detect land surface temperature distribution in a part of the Assam–Arakan Fold Belt, North East India, using a single-channel algorithm. Two anomalous negative surface temperature zones to the south of the study area are found to be important. High-resolution Landsat 8 panchromatic image, surface geological map, NDVI map and SRTM data rule out the effects of artefacts, urban settlements, and variations in lithology, vegetation or topography on these anomalous zones. The superimposition of the surface temperature map over the previously determined hydrocarbon prospect map reveals that these negative surface temperature anomalies lie over two significant hydrocarbon prospect zones. Thus, the effect of subsurface petroleum reservoirs is evident on the land surface temperature distribution of the area. Therefore, satellite image-based land surface temperature mapping can be used as an aid in detecting potential target areas for hydrocarbon exploration in the entire basin.

Keywords

Hydrocarbon Exploration, Satellite Images Remote Sensing, Surface Temperature Anomaly.
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  • Landsat 8-Based Surface Temperature Anomaly and Hydrocarbon Prospectivity: A Study in Part of Assam–Arakan Fold Belt, North East India

Abstract Views: 244  |  PDF Views: 76

Authors

Santosh Garain
Oil and Natural Gas Corporation Limited, Assam–Arakan Fold Belt Exploratory Asset, Silchar 788 026, India
Debashis Mitra
Indian Institute of Remote Sensing, 4, Kalidas Road, Dehradun 248 001, India
Pranab Das
Department of Applied Geology, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India

Abstract


Subsurface hydrocarbon reservoirs act as effective thermal barriers to the Earth’s heat flow from the interior to the surface. As a result, a positive thermal anomaly below a hydrocarbon reservoir and a negative thermal anomaly on the surface above the reservoir are observed. The use of remote sensing satellite images is a rapid, cost-effective and accurate method of determining land surface temperature of a region. The present study uses recent Landsat 8 operational land imager-thermal infrared sensor images to detect land surface temperature distribution in a part of the Assam–Arakan Fold Belt, North East India, using a single-channel algorithm. Two anomalous negative surface temperature zones to the south of the study area are found to be important. High-resolution Landsat 8 panchromatic image, surface geological map, NDVI map and SRTM data rule out the effects of artefacts, urban settlements, and variations in lithology, vegetation or topography on these anomalous zones. The superimposition of the surface temperature map over the previously determined hydrocarbon prospect map reveals that these negative surface temperature anomalies lie over two significant hydrocarbon prospect zones. Thus, the effect of subsurface petroleum reservoirs is evident on the land surface temperature distribution of the area. Therefore, satellite image-based land surface temperature mapping can be used as an aid in detecting potential target areas for hydrocarbon exploration in the entire basin.

Keywords


Hydrocarbon Exploration, Satellite Images Remote Sensing, Surface Temperature Anomaly.



DOI: https://doi.org/10.18520/cs%2Fv119%2Fi1%2F128-133