Back to results
US 12,704,653 B2Granted
Source separation using multistage inversion with sparsity promoting priors
AssigneeSchlumberger Technology Corporation
InventorsYousif Izzeldin Kamil Amin, Rajiv Kumar, Araz Mahdad, Massimiliano Vassallo
Life of this patent
Estimating the term…
Abstract
A method includes acquiring blended seismic data representing a subsurface volume of interest from a plurality of seismic sources, estimating a signal mode using one or more first priors by applying sparse inversion to the blended seismic data, predicting multi-source interference in the blended seismic data based at least in part on the estimated signal mode, removing the estimated signal mode and the predicted multi-source interference from the blended seismic data, such that a residual signal is left, and estimating a coherent signal from the residual signal by solving a sparse inversion.
Claims19
A method, comprising:
- acquiring blended seismic data representing a subsurface volume of interest from a plurality of seismic sources;
- estimating a first plurality of signal modes using a plurality of priors by applying sparse inversion to the blended seismic data;
- selecting a first strongest signal mode from the first plurality of signal modes;
- predicting first multi-source interference in the blended seismic data based at least in part on the first strongest signal mode;
- separating the first strongest signal mode and the first multi-source interference from the blended seismic data, such that a first residual signal is left;
- displaying a first image of the first residual signal;
- based on the first image, identifying whether the first residual signal is deblended;
- responsive to the first residual signal not being deblended, estimating a second plurality of signal modes using the plurality of priors by applying the sparse inversion to the first residual signal;
- selecting a second strongest signal mode from the second plurality of signal modes;
- predicting second multi-source interference in the blended seismic data based at least in part on the second strongest signal mode;
- separating the second strongest signal mode and the second multi-source interference from the first residual signal, such that a second residual signal is left;
- displaying a second image of the second residual signal;
- based on the second image, identifying whether the second residual signal is deblended;
- and
- responsive to the second residual signal being deblended, estimating a coherent signal from the second residual signal by solving the sparse inversion.
12 more elements
A computing system, comprising:
- one or more processors;
- and
- a memory system comprising one or more non-transitory, computer-readable media storing instructions that, when executed by at least one of the one or more processors, cause the computing system to perform operations, the operations comprising:
- acquiring blended seismic data representing a subsurface volume of interest from a plurality of seismic sources;
- estimating a first plurality of signal modes using a plurality of priors by applying sparse inversion to the blended seismic data;
- selecting a first strongest signal mode from the first plurality of signal modes;
- predicting first multi-source interference in the blended seismic data based at least in part on the first strongest signal mode;
- separating the first strongest signal mode and the first multi-source interference from the blended seismic data, such that a first residual signal is left;
- displaying a first image of the first residual signal;
- based on the first image, identifying whether the first residual signal is deblended;
- responsive to the first residual signal not being deblended, estimating a second plurality of signal modes using the plurality of priors by applying the sparse inversion to the first residual signal;
- selecting a second strongest signal mode from the second plurality of signal modes;
- predicting second multi-source interference in the blended seismic data based at least in part on the second strongest signal mode;
- separating the second strongest signal mode and the second multi-source interference from the first residual signal, such that a second residual signal is left;
- displaying a second image of the second residual signal;
- based on the second image, identifying whether the second residual signal is deblended;
- and
- responsive to the second residual signal being deblended, estimating a coherent signal from the second residual signal by solving the sparse inversion.
15 more elements
A non-transitory, computer-readable medium storing instructions that, when executed by at least one processor of a computing system, cause the computing system to perform operations, the operations comprising:
- acquiring blended seismic data representing a subsurface volume of interest from a plurality of seismic sources;
- estimating a first plurality of signal modes using a plurality of priors by applying sparse inversion to the blended seismic data;
- selecting a first strongest signal mode from the first plurality of signal modes;
- predicting first multi-source interference in the blended seismic data based at least in part on the first strongest signal mode;
- separating the first strongest signal mode and the first multi-source interference from the blended seismic data, such that a first residual signal is left;
- displaying a first image of the first residual signal;
- based on the first image, identifying whether the first residual signal is deblended;
- responsive to the first residual signal not being deblended, estimating a second plurality of signal modes using the plurality of priors by applying the sparse inversion to the first residual signal;
- selecting a second strongest signal mode from the second plurality of signal modes;
- predicting second multi-source interference in the blended seismic data based at least in part on the second strongest signal mode;
- separating the second strongest signal mode and the second multi-source interference from the first residual signal, such that a second residual signal is left;
- displaying a second image of the second residual signal;
- based on the second image, identifying whether the second residual signal is deblended;
- and
- responsive to the second residual signal being deblended, estimating a coherent signal from the second residual signal by solving the sparse inversion.
12 more elements
Dependencies are inferred from the claim text.