Joint Inversion of Amplitude and Time-Shift Data for Improved Time-Shift Estimation

This study examines a joint inversion method integrating amplitude and time-shift data to enhance time-shift estimation in seismic data analysis, addressing errors from wavelet interference, petro-elastic model (PEM) variability, and amplitude-kinematic coupling in conventional workflows. The approach incorporates PEM coefficients for geological consistency to refine velocity and impedance changes. Applied to 1D synthetic thin-reservoir model under water and gas injection scenarios, the method reduces mean absolute errors in time-shift estimation and velocity changes compared to traditional nonlinear inversion. Results demonstrate improved accuracy and physical consistency, particularly in complex, thin-layered reservoirs, advancing seismic interpretation by coupling amplitude and kinematic data while mitigating error propagation.