Abstract: Recent Advances in Relative Amplitude 3-D Seismic Data Processing
Alfonso Gonzalez, Ron Chambers, Craig Beasley
Relative amplitude processing is adding valuable information to the understanding of hydrocarbon reservoirs, complementing traveltime information, and leading to a unified, more consistent geologic interpretation when integrated to other nonseismic information. Our paper discusses three significant new developments in relative amplitude processing of 3-D seismic data: surface- and subsurface-consistent amplitude processing in the presence of noise, dynamic amplitude decomposition of transmission effects, and dip moveout (DMO) equalization. Together they increase the quality of the seismic 3-D image and provide more reliable amplitude information for interpretation. Surface- and subsurface-consistent amplitude processing identifies and corrects for the variability introduced by the ins rumentation and for
near surface distortions. Dynamic amplitude decomposition identifies and compensates distortions introduced by the cumulative effects of wave propagation, in particular transmission losses in the overburden. DMO is a powerful technique that has become standard during seismic data processing. DMO maps the energy to zero source-to-receiver distance, decreasing the dependence of traveltimes on offset, therefore improving the quality of the seismic stacked section. An important aspect of DMO that is often of crucial importance in everyday seismic data processing is the effect of sparse or irregular spatial sampling on DMO-processed data. DMO equalization is an efficient process based on the decomposition of DMO into its constituent dip components that accounts for the effects of irregular spatial sampling for both flat and dipping events, minimizing amplitude distortions related to the acquisition geometry.
AAPG Search and Discovery Article #90981©1994 AAPG Pacific Section Meeting, Ventura, California, April 27-29, 1994