Machine Learning Techniques for Noise Attenuation in Geophysical Surveys

A tangible, non-volatile computer readable medium having instructions stored therein that, when executed by one or more processors, cause the one or more processors to perform a quality control method using geophysical data, the method comprising:

• filtering at least a first subset of the geophysical data with at least first and second filters corresponding to first and second different filter properties, respectively, the first filter producing a first filter output and the second filter producing a second filter output;
• associating a first classification with the first filter output and a second classification with the second filter output;
• training a computer-implemented classifier with training data comprising at least the first subset of the geophysical data, the first and second filter outputs, and the first and second classifications;
• filtering a second subset of the geophysical data with a third filter to produce a third filter output;
• using the trained, computer-implemented classifier to generate a third classification based on the second subset of the geophysical data and the third filter output;
• and
• making a quality control determination based on the third classification.

A method of manufacturing a geophysical data product, comprising:

• accessing stored geophysical data;
• filtering at least a first subset of the geophysical data with at least first and second filters corresponding to first and second different filter properties, respectively, the first filter producing a first filter output and the second filter producing a second filter output;
• associating a first classification with the first filter output and a second classification with the second filter output;
• training a computer-implemented classifier with training data comprising at least the first subset of the geophysical data, the first and second filter outputs, and the first and second classifications;
• filtering a second subset of the geophysical data with a third filter to produce a third filter output;
• using the trained, computer-implemented classifier to generate a third classification based on the second subset of the geophysical data and the third filter output;
• making a quality control determination based on the third classification;
• generating an image of a sub-surface feature based on the second subset of the geophysical data and the quality control determination;
• and
• storing the image, or data representative thereof, in a tangible, non-volatile computer-readable medium, thereby completing the manufacture of the geophysical data product.