TY - GEN
T1 - A compressive sensing approach to the calculation of the inverse data space
AU - Khan, Babar Hasan
AU - Saragiotis, Christos
AU - Alkhalifah, Tariq Ali
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/12/3
Y1 - 2014/12/3
N2 - Seismic processing in the Inverse Data Space (IDS) has its advantages like the task of removing the multiples simply becomes muting the zero offset and zero time data in the inverse domain. Calculation of the Inverse Data Space by sparse inversion techniques has seen mitigation of some artifacts. We reformulate the problem by taking advantage of some of the developments from the field of Compressive Sensing. The seismic data is compressed at the sensor level by recording projections of the traces. We then process this compressed data directly to estimate the inverse data space. Due to the smaller number of data set we also gain in terms of computational complexity.
AB - Seismic processing in the Inverse Data Space (IDS) has its advantages like the task of removing the multiples simply becomes muting the zero offset and zero time data in the inverse domain. Calculation of the Inverse Data Space by sparse inversion techniques has seen mitigation of some artifacts. We reformulate the problem by taking advantage of some of the developments from the field of Compressive Sensing. The seismic data is compressed at the sensor level by recording projections of the traces. We then process this compressed data directly to estimate the inverse data space. Due to the smaller number of data set we also gain in terms of computational complexity.
UR - http://hdl.handle.net/10754/575753
UR - http://www.earthdoc.org/publication/publicationdetails/?publication=59396
U2 - 10.3997/2214-4609.20148500
DO - 10.3997/2214-4609.20148500
M3 - Conference contribution
SN - 9781629937908
BT - 74th EAGE Conference and Exhibition incorporating EUROPEC 2012
PB - EAGE Publications
ER -