Noise attenuation
A method can include receiving data that includes signal data and coherent noise data where the signal data includes signal data that corresponds to a multidimensional physical structure; generating filtered data by filtering at least a portion of the data to attenuate at least a portion of the coherent noise data by applying a multidimensional geometric coherent noise model defined by at least one geometric parameter; and assessing a portion of the signal data in the generated filtered data to characterize the multidimensional physical structure.
1. A method comprising:
via a computing system, receiving sensor data that comprise signal data and coherent lineament noise data wherein the signal data comprise signal data that correspond to a multidimensional physical structure;
via the computing system, generating filtered data by filtering at least a portion of the sensor data to attenuate at least a portion of the coherent lineament noise data by applying a multidimensional geometric coherent lineament noise model that comprises at least one spatial dimension and that is defined by at least one geometric parameter; and
via the computing system, characterizing the multidimensional physical structure by assessing a portion of the signal data in the generated filtered data.
2. The method of claim 1 wherein the at least one geometric parameter comprises a slope parameter.
3. The method of claim 1 wherein the at least one geometric parameter comprises a length parameter.
4. The method of claim 1 wherein the at least one geometric parameter comprises a slope parameter and a length parameter.
5. The method of claim 1 comprising repeating the generating with a different value for at least one of the at least one geometric parameter.
6. The method of claim 5 wherein the different value comprises a prior value multiplied by a negative number.
7. The method of claim 1 comprising repeating the generating at least once.
8. The method of claim 1 wherein the sensor data comprises seismic data.
9. The method of claim 8 wherein the seismic data comprise variable streaming depth acquisition data.
10. The method of claim 9 wherein the variable streaming depth acquisition data corresponds to depth values below a water and air interface in a range from approximately zero to approximately 50 meters.
11. The method of claim 1 wherein the sensor data comprise wavelet data wherein the wavelets comprise a maximum absolute value side lobe amplitude that is approximately an order of magnitude less than a maximum absolute value peak amplitude.
12. The method of claim 1 wherein the sensor data comprise seismic data and further comprising determining structural dip values for at least a portion of the seismic data and building the multidimensional geometric coherent noise model based at least in part on a portion of the structural dip values.
13. The method of claim 1 further comprising rendering the sensor data to a display as a two-dimensional image wherein the coherent lineament noise data present as coherent lineament noise.
14. The method of claim 13 wherein the coherent lineament noise comprises a portion characterizable as upgoing noise and a portion characterizable as downgoing noise.
15. A system comprising:
a processor;
memory operatively coupled to the processor; and
one or more modules that comprise processor-executable instructions stored in the memory to instruct the system, the instructions comprising instructions to
receive sensor data that comprise signal data and coherent lineament noise data wherein the signal data comprise signal data that correspond to a multidimensional physical structure;
generate filtered data by filtering at least a portion of the sensor data to attenuate at least a portion of the coherent lineament noise data by applying a multidimensional geometric coherent lineament noise model that comprises at least one spatial dimension and that is defined by at least one geometric parameter; and
characterize the multidimensional physical structure via an assessment of a portion of the signal data in the generated filtered data.
16. The system of claim 15 wherein the at least one geometric parameter comprises a slope parameter and a length parameter wherein the length parameter comprises a length that is greater than a vertical dimension of the multidimensional physical structure.
17. The system of claim 15 wherein the one or more modules comprise processor-executable instructions to: repeat generation of filtered data with a different value for at least one of the at least one geometric parameter.
18. One or more computer-readable storage media comprising computer-executable instructions to instruct a computer, the instructions comprising instructions to:
receive sensor data that comprise signal data and coherent lineament noise data wherein the signal data comprise signal data that correspond to a multidimensional physical structure;
generate filtered data by filtering at least a portion of the sensor data to attenuate at least a portion of the coherent lineament noise data by applying a multidimensional geometric coherent lineament noise model that comprises at least one spatial dimension and that is defined by at least one geometric parameter; and
characterize the multidimensional physical structure via an assessment of a portion of the signal data in the generated filtered data.
19. The one or more computer-readable storage media of claim 18 wherein the at least one geometric parameter comprises a slope parameter and a length parameter wherein the length parameter comprises a length that is greater than a vertical dimension of the multidimensional physical structure.
20. The one or more computer-readable storage media of claim 18 wherein the instructions comprise instructions to repeat generation of filtered data with a different value for at least one of the at least one geometric parameter.