Seismic acquisition guided by the compressive sensing theory can significantly improve seismic data acquisition efficiency and reduce the cost. After reviewing the basic principles of compressive sensing, we propose an optimized random sampling method that can control the maximum sampling interval and ...
Since 2016, In-Depth Compressive Seismic has revolutionized the seismic acquisition model using our patented Regularly-Indexed Compressive Sensing (CS) approach with our optimized 2D Mutual Coherence (MC)-map solver. Our CS-Acquisition approach allows
2012 b. A compressive sensing framework for seismic source parameter . Geophysical Journal International 191 , 1226 – 1236 .VERA R I,SACCHI M,GUY J. A compressive sensing framework for seismic source parameter estimation[J].Geophysical Journal International,2012,(03):1226-1236....
Compressive Sensing : for ImagingCompressive Sensing : for ImagingComputer-implemented method for determining optimal sampling grid during seismic data reconstruction includes: a) constructing an optimization model, via a computing processor, given by minu || Su ||j s.t. || Ru - b ||2 (adsby...
This paper introduces compressive seismic imaging(CSI) technology.Based on the theory of compressive sensing, the CSI technology has been developed for seismic acquisition and processing, including non-uniform optimal sampling, sparse representation of s
compressive sensingSeismic imaging can be formulated as a linear inverse problem where a medium perturbation is obtained via minimization of a least-squares ... A Aravkin,L Xiang,FJ Herrmann - IEEE 被引量: 4发表: 2012年 High-resolution crustal seismic imaging from OBS data by full-waveform ...
We develop a novel least-squares reverse-time migration method with compressive sensing to improve migration imaging with sparse seismic data. Our method incorporates an L_p-norm-based compressive sensing term in the objective function of least-squares reverse-time migration. We employ an alternating...
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Seismic imaging is a linearized inversion problem relying on the minimization of a least-squares misfit functional as a function of the medium perturbation. The success of this procedure hinges on our ability to handle large systems of equations – whose size grows exponentially with the demand for...
Ideas from the field of compressive sensing are rapidly making their way into the geophysical realm. We believe that these concepts will motivate major changes in the way that our industry acquires, processes, and images seismic data. In preparation for these changes, we have undertaken an initiat...