Reverse time migration with optimal checkpointing

368 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Non-parametric seismic data recovery with curvelet frames (2008, methodology): “In either case, the data is incomplete and it is our task to recover a fully-sampled seismic data volume as required by wave-equation based multiple elimination (SRME, Verschuur and Berkhout, 1997) and imaging (Symes, 2006).”
Comparison of methods for extracting ADCIGs from RTM (2014, methodology): “The I/O bottleneck may also be reduced by using the various source wavefield reconstruction algorithms (Nguyen and McMechan, 2009), check pointing (Symes, 2007), or the method based on the random boundary condition (Fei and Williamson, 2010).”
Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach (2010, background): “Combined, these processes often have a significant impact on pre-stack time migration (Symes, 2007), 3-”
Sparsity- and continuity-promoting seismic image recovery with curvelet frames (2008, methodology): “For more details on the migration code, refer to [43] and to the numerical experiment section at the end of this paper.”