GL
G.A. Lopez Angarita
Authored
20 records found
Surface-related multiple elimination (SRME) is one of the most commonly used methods for suppressing surface multiples. However, in order to obtain an accurate surface multiple estimation, dense source and receiver sampling is required. The traditional approach to this problem is
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Current developments in the field of surface multiple removal often aim at estimating primaries in a large-scale inversion process. The advantage of redefining surface multiple removal as a closed-loop process is that certain pre-processing steps can be included in the inversion
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Current developments in the field of surface multiple removal often aim at estimating primaries in a large-scale inversion process. The advantage of redefining surface multiple removal as a closed-loop process is that certain pre-processing steps can be included in the inversion
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In this chapter we will present the 3D Closed-Loop SRME algorithm (CL-SRME).
The fundamental theory will still be the same as the 2D algorithm presented in the previous chapter, but now practical considerations (regarding the data volume) will produce a different processing strat
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Surface-related multiple elimination (SRME) is one of the most commonly used methods for suppressing surface multiples. However, in order to obtain an accurate surface
multiple estimation, dense source and receiver sampling is required. The traditional approach to this problem is
...
Surface-related multiple elimination (SRME) is one of the most commonly used methods for suppressing surface multiples. However, in order to obtain an accurate surface
multiple estimation, dense source and receiver sampling is required. The traditional approach to this problem is
...
Accurate surface-related multiple removal is an important step in conventional seismic processing, and more recently, primaries and surface multiples are separated such that each of them is available for imaging algorithms. Current developments in the field of surface-multiple re
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Recently, a new approach to multiple removal has been introduced: estimation of primaries by sparse inversion (EPSI). Although based on the same relationship between primaries and multiples as in surface-related multiple elimination (SRME), it involves quite a different process.
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