Отправлено: 16.10.09 12:29. Заголовок: Automated Segmentation of Resistivity Image Logs Using Wavelet Transform

Automated Segmentation of Resistivity Image Logs Using Wavelet Transform
Mathematical Geosciences
Springer Berlin / Heidelberg
ISSN 1874-8961 (Print) 1874-8953 (Online)
Volume 41, Number 6 / Август 2009 г.
Special Issue
DOI 10.1007/s11004-009-9236-2
pp 703-716

Special Issue
Automated Segmentation of Resistivity Image Logs Using Wavelet Transform
Marina Hruška1 , William Corea1, Donald Seeburger1, William Schweller1 and William H. Crane1
(1) Chevron Energy Technology Company, 6001 Bollinger Canyon Rd., San Ramon, CA 94583, USA

Received: 11 March 2008 Accepted: 22 June 2009 Published online: 17 July 2009

Abstract We describe a wavelet-transform-based method for automated segmentation of resistivity image logs that takes into account the apparent dip in the data and addresses the problem of discriminating lithofacies boundaries from noise and intrafacies variations. Our method can be applied to borehole measurements in general, but might have an advantage when applied to resistivity image logs as it addresses explicitly the large variability in facies segments recorded with a high-resolution multiple-sensor tool. We have developed an algorithm based on this method that might outperform other existing segmentation methods in the cases of low to moderate dip. We made a detailed comparison of the segmentation from our method with the one done by a geologist to delineate different lithofacies blocks in a well drilled in a deepwater depositional environment. Our results show considerable success rates in reproducing the geologically defined lithofacies boundaries, and the generality of our procedure suggests it could also be applied to other depositional environments.
Keywords Signal processing - Deepwater depositional environment - Lithofacies - Wavelet analysis