System and Method for Three-Dimensional Efficient Data-Driven Internal Multiple Elimination for Wide Azimuth Dataset

A system for constructing a seismic image by attenuation of internal multiples in a seismic dataset, comprising:

• a processor;
• and
• a computer-readable non-transitory storage medium comprising instructions that, when executed by the processor, cause the processor to perform operations comprising:
• receiving the seismic dataset from a wide azimuth seismic survey for imaging a subsurface structure from a data processing platform;
• determining, using the seismic dataset, a plurality of geometry parameters and a current working swath in a target swath area;
• identifying, using the plurality of geometry parameters, a plurality of neighboring swaths in the target swath area;
• determining, using the plurality of neighboring swaths and the current working swath, a data library for predicting internal multiple events in the target swath area;
• reducing, using the plurality of geometry parameters, redundant seismic data in the data library by excluding seismic data outside the target swath area and decimating seismic data based on a predetermined decimation parameter;
• selecting, using the current working swath, a raw seismic trace which originates from a seismic source to a seismic receiver;
• predicting, using a data-driven internal multiple elimination (DDIME) process, a three-dimensional (3D) internal multiple event which originates from the seismic source to the seismic receiver;
• determining a processed seismic trace by subtracting the 3D internal multiple event from the raw seismic trace which originates from the seismic source to the seismic receiver;
• and
• outputting the processed seismic trace to the data processing platform for imaging the subsurface structure.

A non-transitory computer-readable medium comprising instructions that are configured, when executed by a processor, to perform operations comprising:

• receiving a seismic dataset from a wide azimuth seismic survey for imaging a subsurface structure from a data processing platform;
• determining, using the seismic dataset, a plurality of geometry parameters and a current working swath in a target swath area;
• identifying, using the plurality of geometry parameters, a plurality of neighboring swaths in the target swath area;
• determining, using the plurality of neighboring swaths and the current working swath, a data library for predicting internal multiple events in the target swath area;
• reducing, using the plurality of geometry parameters, redundant seismic data in the data library by excluding seismic data outside the target swath area and decimating seismic data based on a predetermined decimation parameter;
• selecting, using the current working swath, a raw seismic trace which originates from a seismic source to a seismic receiver;
• predicting, using a data-driven internal multiple elimination (DDIME) process, a three-dimensional (3D) internal multiple event which originates from the seismic source to the seismic receiver;
• determining a processed seismic trace by subtracting the 3D internal multiple event from the raw seismic trace which originates from the seismic source to the seismic receiver;
• and
• outputting the processed seismic trace to the data processing platform for imaging the subsurface structure.