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Technology Feature Enhanced data reconstruction for true-azimuth 3D SRME Surface-related multiple elimination (SRME) has become the industry-preferred method for complex 3D multiple removal, mainly for its independence of any geological information. However, a dense set of recorded data is needed to predict the multiples accurately, and success is dependent on the way missing data is reconstructed. Peter Aaron, Simon Barnes, Roald van Borselen and Rob Hegge present an enhanced data reconstruction method to resolve this issue.
Technology Feature Enhanced data reconstruction for true-azimuth 3D SRME Surface-related multiple elimination (SRME) has become the industry-preferred method for complex 3D multiple removal, mainly for its independence of any geological information. However, a dense set of recorded data is needed to predict the multiples accurately, and success is dependent on the way missing data is reconstructed. Peter Aaron, Simon Barnes, Roald van Borselen and Rob Hegge present an enhanced data reconstruction method to resolve this issue.
Technology Feature Enhanced data reconstruction for true-azimuth 3D SRME Surface-related multiple elimination (SRME) has become the industry-preferred method for complex 3D multiple removal, mainly for its independence of any geological information. However, a dense set of recorded data is needed to predict the multiples accurately, and success is dependent on the way missing data is reconstructed. Peter Aaron, Simon Barnes, Roald van Borselen and Rob Hegge present an enhanced data reconstruction method to resolve this issue.
First break ; 29
2011
Aufsatz (Zeitschrift)
Unbekannt
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