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CONVOLUTIONAL BACK‐PROJECTION IMAGING OF PHYSICAL MODELS WITH CROSSHOLE SEISMIC DATA 1
Author(s) -
EAST R. J. R.,
WORTHINGTON M. H.,
GOULTY N. R.
Publication year - 1988
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.1988.tb02156.x
Subject(s) - projection (relational algebra) , geology , geophysical imaging , computer science , data acquisition , ultrasonic sensor , noise (video) , borehole , algorithm , seismology , artificial intelligence , acoustics , image (mathematics) , physics , geotechnical engineering , operating system
The development of crosshole seismic tomography as an imaging method for the subsurface has been hampered by the scarcity of real data. For boreholes in excess of a few hundred metres depth, crosshole seismic data acquisition is still a poorly developed and expensive technology. A partial solution to this relative lack of data has been achieved by the use of an ultrasonic seismic modelling system. Such ultrasonic data, obtained in the laboratory from physical models, provide a useful test of crosshole imaging software. In particular, ultrasonic data have been used to test the efficacy of a convolutional back‐projection algorithm, designed for crosshole imaging. The algorithm is described and shown to be less susceptible to noise contamination than a Simultaneous Iterative Reconstruction Technique (SIRT) algorithm, and much more computationally efficient.