Estimation of time-lapse timeshifts using machine learning
Yuting Duan, Siyuan Yuan, Paul J. Hatchell, Jeremy P. Vila, Kanglin Wang · 2020
We introduce an approach to estimate timeshifts and reservoir property changes in time-lapse seismic data using machine learning (ML). ML models were trained for each reservoir field of interest by generating synthetic seismic data using 4D reservoir and geomechanical models. We then apply the trained ML models to real 4D seismic data. The ML timeshifts show improved resolution and accuracy compared to traditional cross-correlation results. Presentation Date: Monday, October 12, 2020 Session Start Time: 1:50 PM Presentation Time: 2:15 PM Location: 362D Presentation Type: Oral