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
Application of super-virtual interferometry for seismic data processing in foothill zones
Intelligent universal full-waveform inversion of seismic wavefields based on multi-scale Swin Transformer transposed U-Net
Shallow marine seismic inversion strategy using air-gun secondary bubble signature
Fluid mobility attribute based on frequency-corrected generalized S-transform and its application in subtle reservoir delineation