This section focuses on quantitative interpretation of seismic data to derive rock and fluid properties using physics-based and statistical approaches, covering deterministic inversion (post-stack/pre-stack, AVO/AVA), stochastic inversion, rock physics modeling (effective medium theories, Gassmann, fluid substitution), full-waveform inversion (FWI), and joint inversion (with gravity, EM, or well data). Studies should translate seismic attributes into reservoir properties (porosity, saturation, lithofacies, permeability, pore pressure) or geomechanical parameters (stress, brittleness). Submissions require robust methodology validation via synthetic benchmarks or field examples, addressing ambiguity reduction, uncertainty analysis, and scalability. Applications to CCUS monitoring or unconventional reservoirs are of high interest.
Modeling the seismic wave equation using a staggered grid finite-difference method optimized with a genetic algorithm
High-precision full-waveform inversion velocity modeling and broadband processing for a deepwater exploration of the South China Sea
A physics-constrained autoencoder for full-waveform inversion using axial self-attention
Automatic differentiation-based weighted instantaneous phase inversion
Direct envelope-based reflection full waveform inversion for shallow marine seismic data
