Automated third interface echo recognition using a large foundation model
US-2024427048-A1 · Dec 26, 2024 · US
US9529109B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9529109-B2 |
| Application number | US-201213541752-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 4, 2012 |
| Priority date | Jul 4, 2012 |
| Publication date | Dec 27, 2016 |
| Grant date | Dec 27, 2016 |
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Methods and apparatus for determining slowness of wavefronts. An example apparatus includes one or more sources spaced from a receiver. The one or more sources are to transmit one or more signals and the receiver is to receive at least a portion of the one or more signals. The apparatus includes a processor to process waveform data associated with the one or more signals by stacking waveforms of the waveform data based on to linear moveout and sinusoidal moveout.
Opening claim text (preview).
What is claimed is: 1. A method, comprising: transmitting signals from a plurality of sources, the sources spaced from an array of receivers of the downhole tool, the receivers spaced around a circumference of the downhole tool; obtaining waveform data associated with the signals received at one or more of the receivers; and processing the waveform data to determine three-dimensional slowness-time coherence representation of the waveforms; wherein, when processing the wavefront data, a radial slowness is to be equal to a slowness of a direct compressional arrival. 2. The method of claim 1 , wherein processing the waveform data comprises processing the waveform data using spatial positions of the receivers. 3. The method of claim 1 , wherein processing the waveform data comprises stacking waveforms based on linear moveout and sinusoidal moveout. 4. The method of claim 3 , wherein the linear moveout is associated with a source-receiver offset and the sinusoidal moveout is associated with receiver azimuth. 5. The method of claim 1 , wherein the sources comprise multi-pole sources, and processing the waveform data from the multi-pole sources comprises using azimuths of the multi-pole sources. 6. The method of claim 1 , wherein processing the waveform data is to further determine parameters of one or more non-direct wavefronts. 7. The method of claim 6 , wherein the one or more non-direct wavefronts comprise the non-direct wavefronts having the highest coherence. 8. The method of claim 6 , wherein the one or more non-direct wavefronts comprise local maxima in a coherence array associated with the waveform data. 9. The method of claim 6 , further comprising constructing a ray tracing based on the parameters of the non-direct wavefronts. 10. The method of claim 6 , wherein the parameters comprise approximate arrival times and slowness in three spatial directions of the non-direct wavefronts. 11. The method of claim 10 , further comprising parameterizing the slowness in one or more of Cartesian coordinates, cylindrical coordinates, or spherical coordinates. 12. The method of claim 1 , wherein processing the waveform data comprises processing the waveform data in substantially real time while drilling the formation. 13. The method of claim 1 , further comprising substantially removing a signature of a tool borne direct arrival using a semblance modification process. 14. A method, comprising: transmitting a signal from a monopole source, the monopole source spaced from an array of receivers of the downhole tool, the receivers spaced around a circumference of the downhole tool; obtaining waveform data associated with the signal received at one or more of the receivers; filtering the waveform data to substantially remove data associated with direct arrivals; and processing the filtered waveform data to determine three-dimensional slowness-time coherence representation of the waveforms and parameters of one or more non-direct wavefronts; when processing the filtered wavefront data, a radial slowness is to be equal to a slowness of a direct compressional arrival. 15. The method of claim 14 , wherein processing the filtered waveform data comprises processing the filtered waveform data using spatial positions of the receivers. 16. The method of claim 14 , wherein the one or more non-direct wavefronts comprise local maxima in a coherence array associated with the waveform data. 17. An apparatus, comprising: one or more sources spaced from a receiver, the one or more sources to transmit one or more signals and the receiver to receive at least a portion of the one or more signals; and a processor to process waveform data associated with the one or more signals by stacking waveforms of the waveform data based on to linear moveout and sinusoidal moveout; when processing the wavefront data, a radial slowness is to be equal to a slowness of a direct compressional arrival. 18. The apparatus of claim 17 , wherein the one or more sources comprise a plurality of multi-pole sources. 19. The apparatus of claim 17 , wherein the processor is to identify relative arrival times and slowness of non-direct wavefronts using the processed waveform data.
Move-out correction · CPC title
Analysing data · CPC title
Velocity; travel time · CPC title
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