Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes

Joint Authors

Cao, Jianhua
Zhang, Xiankun
Wang, Yan
Zhao, Qi

Source

Journal of Electrical and Computer Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-03-24

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Cao, Jianhua& Zhang, Xiankun& Wang, Yan& Zhao, Qi. 2016. Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1108495

Modern Language Association (MLA)

Cao, Jianhua…[et al.]. Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1108495

American Medical Association (AMA)

Cao, Jianhua& Zhang, Xiankun& Wang, Yan& Zhao, Qi. Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1108495

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1108495