HR: 1340h
AN: S53B-1258    [Abstracts]
TI: Multiples: From Artifact Prediction to Image Reconstruction via Illumination
AU: * Malcolm, A E
EM: amalcolm@geo.uu.nl
AF: Department of Earth Sciences Utrecht University, P.O. Box 80.021, Utrecht, 3508 TA, Netherlands
AU: de Hoop, M V
EM: mdehoop@math.purdue.edu
AF: Center for Computational & Applied Mathematics, Purdue University, West Lafayette, IN 47907, United States
AU: Ursin, B
EM: bjorn.ursin@ntnu.no
AF: Department of Petroleum Engineering and Applied Geophysics, Norwegian University of Science and Technology, Trondheim, NO-7491, Norway
AB: A typical seismic image assumes that the recorded wavefield has been scattered only once in the subsurface. This assumption places two limitations on the resulting image. The first is that the image will contain artifacts from multiply scattered waves. The second is that the portion of the Earth represented in the image is limited to regions which are illuminated by recorded singly scattered waves. The first limitation has been addressed in a variety of different ways, in particular within the petroleum prospecting industry. The second limitation, however, has received only limited attention. We present a theoretical path from artifact prediction to image reconstruction by including the illumination footprint of the acquisition geometry in the theory of artifact prediction. From this structure it becomes clear how multiply scattered waves can be used to enlarge the region of the Earth that can be imaged from a particular data set. This is particularly important for steeply dipping structures such as faults and salt intrusions; singly scattered waves do not generally illuminate these structures while doubly scattered waves do. We illustrate, with numerical examples, that these ideas fit naturally within a downward continuation migration procedure allowing for the improved image to be computed efficiently.
DE: 0902 Computational methods: seismic
DE: 0935 Seismic methods (3025, 7294)
DE: 3285 Wave propagation (0689, 2487, 4275, 4455, 6934)
DE: 7260 Theory
DE: 7290 Computational seismology
SC: Seismology [S]
MN: 2007 Fall Meeting