Paper
22 May 2002 Horizon correlation across faults guided by geological constraints
Author Affiliations +
Proceedings Volume 4667, Image Processing: Algorithms and Systems; (2002) https://doi.org/10.1117/12.467992
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
A new approach towards automating the interpretation of geological structures like horizons or faults in reflection seismic data images is presented. Horizons are strong reflection events which indicate boundaries between rock formations while faults are discrete fractures across which there is measurable displacement of rock layering. Horizon tracking across faults and thereby determining geologically valid correlations is an important but time consuming task although it has still not been automated satisfactorily. The difficulties of matching horizon segments across faults are due to those types of images which contain only a small amount of local information, furthermore partially disturbed by vague or noisy signals. In this paper we describe a model-based approach which reduces these uncertainties by introducing global features based on geological constraints. Two optimization methods have been examined: an exhaustive search algorithm which reliably delivers the optimal solution presuming correctness of the model and a more practicable strategy; viz, a genetic algorithm. Both methods successfully matched all selected horizons across normal faults in typical seismic data images.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Melanie Aurnhammer and Klaus D. Toennies "Horizon correlation across faults guided by geological constraints", Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); https://doi.org/10.1117/12.467992
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Cited by 6 scholarly publications.
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KEYWORDS
Genetic algorithms

Image segmentation

Model-based design

Reflectors

Data modeling

Detection and tracking algorithms

Reliability

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