FIGA - 2025
FIGA 2025 - Fourth Triennial Congress of Federation of Indian Geosciences Association 2025

Summary of Abstract Submission



Abstract Submission No.ABS-2.4-0018
Title of AbstractIntegrated AVA analysis and Seismic Inversion methods for fluid identification
AuthorsShashwat Raj Mishra*
OrganisationIIT ISM Dhanbad
AddressIndian Institute of Technology (Indian School of Mines) Dhanbad
Dhanbad, Jharkhand, India
Pincode: 826004
E-mail: 23mc0084@iitism.ac.in
CountryIndia
PresentationPoster
AbstractAccurate and efficient characterization of hydrocarbon reservoirs is essential for responsible resource management and sustainable development. Conventional post-stack inverted volumes alone often lacks detailed lithological and fluid-fill information necessary for robust reservoir delineation. Prior studies of the Mississauga sands highlight the need for multi-attribute analysis. This study presents a comprehensive and integrated workflow that combines AVA analysis from 3D PSTM angle gathers, deterministic post-stack band-limited impedance inversion and pre-stack simultaneous inversion using simulated annealing to identify gas bearing sands in Mississauga Formation in the Scotian Basin. The Simulated annealing algorithm iteratively perturbs P- and S-impedance models to minimize the misfit between synthetic and observed data, with constraints provided by low-frequency impedance models derived from logs. The derived elastic parameters are then used to calculate the Vp/Vs ratio, lambda-mu, which are highly sensitive parametres to fluid content providing clear distinction between gas-filled and wet sands. This integrated approach improves fluid indicators and, when combined with multi-attribute analysis, enhances understanding of lateral and vertical fluid distribution enabling more accurate fluid maps and reduced exploration uncertainty, which benefits seismic exploration and interpretation.
KeywordsAVA, Post-Stack Inversion, Pre-Stack Inversion, Simulated Annealing, Fluid Identification