Post-stack time domain image with broadened spectrum
A computer system receives a post-stack time-domain image having a first spectrum and representing one or more subsurface structures. The computer system reconstructs an increased-frequency version of the post-stack time-domain image using L0-constrained inversion and a least-squares mismatch ratio. The increased-frequency version of the post-stack time-domain image includes structural artifacts. The computer system removes the structural artifacts from the increased-frequency version of the post-stack time-domain image using singular value decomposition. The computer system combines the increased-frequency version of the post-stack time-domain image with the post-stack time-domain image using a weighting function. The computer system generates a combined version of the increased-frequency version of the post-stack time-domain image and the post-stack time-domain image. The combined version represents the one or more subsurface structures and has a second spectrum broader than the first spectrum.
1. A method comprising:
receiving, by a computer system, a post-stack time-domain image having a first spectrum and representing one or more subsurface structures;
reconstructing, by the computer system, an increased-frequency version of the post-stack time-domain image using L0-constrained inversion and a least-squares mismatch ratio, the increased-frequency version of the post-stack time-domain image comprising structural artifacts;
removing, by the computer system, the structural artifacts from the increased-frequency version of the post-stack time-domain image using singular value decomposition (SVD);
combining, by the computer system, the increased-frequency version of the post-stack time-domain image with the post-stack time-domain image using a weighting function; and
generating, by the computer system, a combined version of the increased-frequency version of the post-stack time-domain image and the post-stack time-domain image, the combined version representing the one or more subsurface structures and having a second spectrum broader than the first spectrum.
2. The method of claim 1 , wherein the L0-constrained inversion is based on a dictionary comprising phase-rotated wavelets.
3. The method of claim 2 , wherein the phase-rotated wavelets are derived from a Ricker wavelet and a Klauder wavelet.
4. The method of claim 1 , wherein the reconstructing of the increased-frequency version comprises performing, by the computer system, the L0-constrained inversion using a greedy algorithm.
5. The method of claim 1 , further comprising:
prior to reconstructing the increased-frequency version of the post-stack time-domain image, removing, by the computer system, jitters from the post-stack time-domain image using SVD.
6. The method of claim 1 , wherein the post-stack time-domain image comprises a plurality of traces and reconstructing the increased-frequency version of the post-stack time-domain image comprises:
grouping, by the computer system, each trace of the plurality of traces with neighboring traces of the trace into a trace group; and
selecting, by the computer system, an atom associated with a decrease in a residual of the group trace to provide the increased-frequency version of the post-stack time-domain image.
7. The method of claim 6 , further comprising subtracting, by the computer system, a contribution of the atom from each trace of the trace group.
8. A non-transitory computer-readable storage medium storing instructions executable by one or more computer processors, the instructions when executed by the one or more computer processors cause the one or more computer processors to:
receive a post-stack time-domain image having a first spectrum and representing one or more subsurface structures;
reconstruct an increased-frequency version of the post-stack time-domain image using L0-constrained inversion and a least-squares mismatch ratio, the increased-frequency version of the post-stack time-domain image comprising structural artifacts;
remove the structural artifacts from the increased-frequency version of the post-stack time-domain image using singular value decomposition (SVD);
combine the increased-frequency version of the post-stack time-domain image with the post-stack time-domain image using a weighting function; and
generate a combined version of the increased-frequency version of the post-stack time-domain image and the post-stack time-domain image, the combined version representing the one or more subsurface structures and having a second spectrum broader than the first spectrum.
9. The non-transitory computer-readable storage medium of claim 8 , wherein the L0-constrained inversion is based on a dictionary comprising phase-rotated wavelets.
10. The non-transitory computer-readable storage medium of claim 9 , wherein the phase-rotated wavelets are derived from a Ricker wavelet and a Klauder wavelet.
11. The non-transitory computer-readable storage medium of claim 8 , wherein reconstructing of the increased-frequency version comprises performing the L0-constrained inversion using a greedy algorithm.
12. The non-transitory computer-readable storage medium of claim 8 , wherein the instructions further causing the one or more computer processors to:
prior to reconstructing the increased-frequency version of the post-stack time-domain image, remove jitters from the post-stack time-domain image using SVD.
13. The non-transitory computer-readable storage medium of claim 8 , wherein the post-stack time-domain image comprises a plurality of traces and reconstructing the increased-frequency version of the post-stack time-domain image comprises:
grouping each trace of the plurality of traces with neighboring traces of the trace into a trace group; and
selecting an atom associated with a decrease in a residual of the group trace to provide the increased-frequency version of the post-stack time-domain image.
14. The non-transitory computer-readable storage medium of claim 13 , the instructions further causing the one or more computer processors to subtract a contribution of the atom from each trace of the group trace.
15. A computer system comprising:
one or more computer processors; and
a non-transitory computer-readable storage medium storing instructions executable by the one or more computer processors, the instructions when executed by the one or more computer processors cause the one or more computer processors to:
receive a post-stack time-domain image having a first spectrum and representing one or more subsurface structures;
reconstruct an increased-frequency version of the post-stack time-domain image using L0-constrained inversion and a least-squares mismatch ratio, the increased-frequency version of the post-stack time-domain image comprising structural artifacts;
remove the structural artifacts from the increased-frequency version of the post-stack time-domain image using singular value decomposition (SVD);
combine the increased-frequency version of the post-stack time-domain image with the post-stack time-domain image using a weighting function; and
generate a combined version of the increased-frequency version of the post-stack time-domain image and the post-stack time-domain image, the combined version representing the one or more subsurface structures and having a second spectrum broader than the first spectrum.
16. The computer system of claim 15 , wherein the L0-constrained inversion is based on a dictionary comprising phase-rotated wavelets.
17. The computer system of claim 16 , wherein the phase-rotated wavelets are derived from a Ricker wavelet and a Klauder wavelet.
18. The computer system of claim 15 , wherein reconstructing of the increased-frequency version comprises performing the L0-constrained inversion using a greedy algorithm.
19. The computer system of claim 15 , wherein the instructions further causing the one or more computer processors to:
prior to reconstructing the increased-frequency version of the post-stack time-domain image, remove jitters from the post-stack time-domain image using SVD.
20. The computer system of claim 15 , wherein the post-stack time-domain image comprises a plurality of traces and reconstructing the increased-frequency version of the post-stack time-domain image comprises:
grouping each trace of the plurality of traces with neighboring traces of the trace into a trace group; and
selecting an atom associated with a decrease in a residual of the group trace to provide the increased-frequency version of the post-stack time-domain image.