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Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes


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

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.
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  • Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes

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Authors

Jianhua Cao
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
Xiankun Zhang
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
Yan Wang
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
Qi Zhao
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China

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.