Prediction of Reservoir Sands by Using Rock Physics and Simultaneous Inversion: Case Study from the Pattani Basin, Gulf of Thailand
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Creator Peeranat Visadsri
Title Prediction of Reservoir Sands by Using Rock Physics and Simultaneous Inversion: Case Study from the Pattani Basin, Gulf of Thailand
Contributor -
Publisher Department of Geology, Chulalongkorn University
Publication Year 2556
Journal Title Bulletin of Earth Sciences of Thailand (BEST)
Journal Vol. 6
Journal No. 2
Page no. 99-108
Keyword Pattani basin, Rock physics, Simultaneous Inversion, Sand distribution
URL Website https://www.bestjournal.org/
Website title Bulletin of Earth Sciences of Thailand
ISSN 1906-280X
Abstract The study area is located at the southeastern edge of the Pattani Basin within the Gulf of Thailand. The reservoirs in this area are sands associated with fluvial systems and sands show rapid lateral and vertical changes. The study area is composed of two zones separated by regional fault. The western part is gas prone area and the eastern part is oil prone. This report presents workflow to predict sand distribution and to identify hydrocarbon reservoirs by using rock physics analysis and simultaneous inversion. AVO modeling indicates that Class III and Class IV sands are dominant in the area. AVO analysis can discriminate gas and water-wet zones. However, it is not possible to differentiate low saturation and high saturation gas zones. Density is the most sensitive rock physics parameter for lithology identification. Combination of density and Vp/Vs can differentiate reservoir fluids within narrow depth range by establishing accurate cutoff based on rock physics analyses. Inverted density volume computed through pre-stack simultaneous inversion provides reasonable prediction for sand distribution in the area. Horizon slices of Vp/Vs can identify hydrocarbon zones within narrow depth range if appropriate cutoff is applied. Low Vp/Vs and low-density anomalies within the high structure may be considered potential target for future exploration
Chulalongkorn University

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