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SUMMARY:Deghosting seismic data by sparse reconstruction - Rickett\, J (Sc
 hlumberger Cambridge Research)
DTSTART:20140207T160000Z
DTEND:20140207T163000Z
UID:TALK50706@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In marine environments\, seismic reflection data is typically 
 acquired with acoustic sensors attached to multiple streamers towed relati
 vely close to the sea surface. Upward going waves reflect from the sea sur
 face and destructively interfere with the primary signal. Ideally we would
  like to deconvolve these ghost events from our data. However\, their phas
 e delay depends on the angle of propagation at the receiver\, and unfortun
 ately\, streamer separation is such that most frequencies of interest are 
 aliased\, so this angle cannot be easily determined.\n\nIn this talk\, I w
 ill show how the problem can be addressed with the machinery of compressed
  sensing. I will illustrate with data examples how the trade-offs involved
  in the choice of basis function\, the choice of sparse solver\, the dimen
 sionality in which the problem is framed\, and the accuracy of the physics
  in the forward model\, all effect the quality and cost of the reconstruct
 ion.\n
LOCATION:Seminar Room 1\, Newton Institute
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