Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes
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 ca...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/9181254 |
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| author | Jianhua Cao Xiankun Zhang Yan Wang Qi Zhao |
| author_facet | Jianhua Cao Xiankun Zhang Yan Wang Qi Zhao |
| author_sort | Jianhua Cao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ec3347ca994d46d3bff839efc92fe07e |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-ec3347ca994d46d3bff839efc92fe07e2025-02-03T01:31:20ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/91812549181254Subsurface Geobody Imaging Using CMY Color Blending with Seismic AttributesJianhua Cao0Xiankun Zhang1Yan Wang2Qi Zhao3College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, ChinaCollege of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, ChinaCollege of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, ChinaCollege of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, ChinaRecently, 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.http://dx.doi.org/10.1155/2016/9181254 |
| spellingShingle | Jianhua Cao Xiankun Zhang Yan Wang Qi Zhao Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes Journal of Electrical and Computer Engineering |
| title | Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes |
| title_full | Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes |
| title_fullStr | Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes |
| title_full_unstemmed | Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes |
| title_short | Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes |
| title_sort | subsurface geobody imaging using cmy color blending with seismic attributes |
| url | http://dx.doi.org/10.1155/2016/9181254 |
| work_keys_str_mv | AT jianhuacao subsurfacegeobodyimagingusingcmycolorblendingwithseismicattributes AT xiankunzhang subsurfacegeobodyimagingusingcmycolorblendingwithseismicattributes AT yanwang subsurfacegeobodyimagingusingcmycolorblendingwithseismicattributes AT qizhao subsurfacegeobodyimagingusingcmycolorblendingwithseismicattributes |