Estimating time-lapse property changes of a subsurface volume
AssigneeShell USA, Inc.
InventorsYuting Duan, Siyuan Yuan, Paul James Hatchell, Jeremy Paul Vila, Kanglin Wang
Life of this patent
Estimating the term…
Loading patent…
AssigneeShell USA, Inc.
InventorsYuting Duan, Siyuan Yuan, Paul James Hatchell, Jeremy Paul Vila, Kanglin Wang
Estimating the term…
A backpropagation enabled model is trained for estimating time-lapse property changes of a subsurface volume. Synthetic models of the subsurface volume are generated, with pre-determined property changes before and after a time lapse. These models are used to compute baseline-monitor pairs of synthetic seismic traces before and after the time lapse, wherein the baseline synthetic traces are computed from the synthetic model before the time lapse and the monitor synthetic traces are computed from the synthetic model after the time lapse. A ground truth 4D attribute characterizing the time-lapse property changes in the synthetic models is defined, and a backpropagation enabled model is trained by feeding the baseline-monitor pairs of synthetic seismic traces and the corresponding ground truth 4D attribute. The thus obtained trained backpropagation enabled model can be used to estimate time-lapse property changes of the actual subsurface Earth volume from actual baseline-monitor pairs of seismic traces.
A computer-implemented method of estimating time-lapse property changes of a subsurface volume, comprising:
A computer-implemented method of training a backpropagation enabled model for estimating time-lapse property changes of a subsurface volume, comprising:
Dependencies are inferred from the claim text.