Published Thesis
Thesis Title: Integrating Seismic attributes and Rock physics for Enhanced Reservoir Characterization
Published Thesis ID: - IJVRATHE2001
Registration ID - 700506
Pages: 1-78
Year: February-2026
Author Name(s): Arindam Mukherjee
Publisher Name: IJVRA (IJ Publication) Janvi Wave
Abstract
seismic generally helps us to characterize the reservoir by imaging the subsurface by faults, folds and traps and identify rock properties like porosity, lithology via seismic inversion by transforming rock data into rock properties that P-impedances, S-impedance, density enabling better quantification of porosity, fluid saturation and lithology that improves well placement, reduced uncertainty , reduced drilling risks, optimize field placements. This paper explores the application the application of seismic inversion techniques to enhance reservoir characterization, ultimately improving exploration and production decisions like AVO (Amplitude vs offset) analysis that gives clues about fluid type and lithology, which helps to spot gas sands, oil-water contact. How AVO analysis gathers data has been discussed here. Pre-stack depth migration, azimuthal anisotropy, 4D seismic, machine learning for better imaging, fracture detection, monitor reservoir changes, pattern recognition in seismic data, are also discussed here, through which we can optimise well placement, predict production trends, reduce uncertainty, and enhance the recovery factor of oil. Not only that, the paper also deals with Full waveform inversion (FWI), Least-squares-Migration (LSM), Distributed acoustic sensing (DAS), Passive seismic, which helps in better imaging, prospect de-risking, monitor reservoirs, and optimise output, which helps in increased recovery and reduced costs, also discussed here. Not only do these papers deal with how seismic attributes have been calibrated with well log-derived rock physics parameters such as porosity, mineral composition, effective stress distribution and fluid saturation through rock physics models. elastic parameter cross plots and rock physics templates are used to link up seismic responses to reservoir properties in a physically consistent manner. This integrated approach improves the lithofacies discrimination and also identifies fluid-related anomalies and the prediction of reservoir properties away from the well control situation
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
:- Seismic attributes , Rock -physics ,Reservoir characterisation, Seismic inversion ,AVO Analysis ,Elastic properties ,Lithofacies discrimination
License
Creative Commons Attribution 4.0 and The Open Definition
