首页|Seismic coloured inversion to explore the hydrocarbon prospectivity of a field in the Upper Assam basin
Seismic coloured inversion to explore the hydrocarbon prospectivity of a field in the Upper Assam basin
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NETL
NSTL
Taylor & Francis
This study demonstrates an integrated approach using a seismic-coloured inversion to derivethe hydrocarbon potential of a field in the Upper Assam basin. The well-log analysis indicatedthe presence of hydrocarbon in the form of gas, oil, and water in sandstones with thin streaks oflimestone and shale layers. The Acoustic Impedance (AI) model was generated from post-stackseismic data using a coloured inversion. Shale volume (Vshale), density, porosity and water saturationare the petrophysical parameters spatially populated using a multilayered feed-forwardneural network on the inversion-based AI model. The estimated range of model-derived parametersvaries as Velocity: 2136–5034 m/s, Vshale: 0–48%, Density: 2.14–2.72 gm/cc, Porosity: 6–29%,Water saturation: 9–28%, and demonstrates a reasonable correlation to well-log data. Seismicattribute for thin-fault likelihood was used to interpret the major faults. From the combinedanalysis based on interpreted faults and modelled parameters, the northwestern part of thestudy area displays a thick hydrocarbon-bearing zone (due to increasing thickness and reservoirquality). This interpretation is based on the consideration that faults are open. Thus, assumingcontinuity in the sequence, this northwestern region can be considered as one of the promisingcandidates for further exploration.
Seismicinversionwell logpetrophysical
Siddharth Garia、Arnab Kumar Pal、Shreya Katre、Satyabrata Nayak、K. Ravi、Archana M. Nair
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School of Civil Engineering, Lovely Professional University, Phagwara, India
Department of Civil Engineering, Indian Institute ofTechnology, Guwahati, India
NETL
NSTL
Taylor & Francis
