Method and apparatus for seismic noise reduction
AssigneeION Geophysical Corporation
InventorsGregg S. Hofland, Huub Douma, Jacques Leveille
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Abstract
Methods, apparatuses, and systems are disclosed that reduce seismic noise. In one embodiment, a method of processing seismic data includes accessing seismic data representative of a plurality of seismic input traces acquired by one or more seismic sensors. The method also includes stacking the plurality of seismic input traces into a stacked trace. The method also includes generating, utilizing at least one processor unit, a function of similarity between at least two of the plurality of seismic input traces. The method also includes scaling at least one of the seismic input traces or the stacked trace with the function of similarity.
Claims43
A method of processing seismic data, comprising:
- accessing seismic data representative of a plurality of seismic input traces acquired by one or more seismic sensors;
- stacking the plurality of seismic input traces into a stacked trace;
- generating, utilizing at least one processor unit, a function of similarity between at least two of the plurality of seismic input traces, wherein the function of similarity comprises a plurality of respective measurements of similarity, and respective measurements in the function of similarity are generated from respective covariance matrices calculating the similarity between respective sample windows in the at least two of the plurality of seismic input traces and corresponding sample windows in the stacked trace;
- and
- scaling at least one of the seismic input traces or the stacked trace with the function of similarity.
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A method of processing seismic data, comprising:
- correcting a plurality of seismic input traces;
- stacking the corrected plurality of seismic input traces into a stacked trace;
- generating a plurality of covariance matrices measuring the similarity of the corrected seismic input traces over a respective plurality of sample windows;
- generating a plurality of mean values, each mean value representative of a plurality of elements of each respective covariance matrix, each mean value corresponding to one of the plurality of sample windows;
- combining the plurality of mean values into a function of similarity;
- scaling the stacked trace with the function of similarity;
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- storing data representative of at least one of the scaled at least one seismic input trace, the scaled stacked trace, or a derived property from the scaled at least one seismic input trace or the scaled stacked trace in a computer readable tangible storage medium.
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A system for processing seismic data, comprising:
- a storage device for storing seismic data representing a plurality of seismic input traces acquired by one or more seismic sensors;
- a processor unit coupled to the storage device and configured to:
- stack the plurality of seismic input traces into a stacked trace;
- generate a function of similarity between at least two of the plurality of seismic input traces;
- scale at least one of the seismic input traces or the stacked trace with the function of similarity;
- and
- generate image data representative of at least one of the scaled at least one seismic input trace, the scaled stacked trace, or a derived property from the scaled at least one seismic input trace or the scaled stacked trace, wherein the function of similarity comprises a plurality of respective measurements of similarity, and respective measurements in the function of similarity are generated from respective covariance matrices calculating the similarity between respective sample windows in the at least two of the plurality of seismic input traces and corresponding sample windows in the stacked trace;
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- a display device coupled to the processor unit and configured to display the generated image data.
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Dependencies are inferred from the claim text.