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Journal of Electrical and Computer Engineering
Volume 2016 (2016), Article ID 9181254, 7 pages
http://dx.doi.org/10.1155/2016/9181254
Research Article

Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes

College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China

Received 3 November 2015; Revised 26 January 2016; Accepted 9 March 2016

Academic Editor: Sook Yoon

Copyright © 2016 Jianhua Cao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Recently, ideas of color blending have brought the enlightenment for subsurface geobody imaging in petroleum engineering. In this paper, we present this approach of CMY color blending and its application in subsurface geobody characterization by using seismic attributes data. The first step is to calculate three types of seismic attributes based on the Hilbert transform algorithm, including envelop, instantaneous phase, and instantaneous frequency. Then scale the three attributes and combine them together using CMY color model in three-dimensional environment, with each attribute corresponding to one primary color channel. Adjust the scale and offset for each color component and then mix them optimally to create one color-blended volume. The blended volume in CMY mode has plenty of geological information coming from the three input attributes, resulting in high resolution and accurate image for subsurface geobodies. Applications show good performances in buried channels, caves, and faults imaging. Based on the blended slice, the geological targets can be easily but accurately interpreted and depicted.