Earticle

초록

영어

Color is the critical factor in seismic data interpretation and geological targets visualization. And recently, ideas of color blending have brought the enlightenment in attribute combinations for reservoir characterization in petroleum engineering. In this paper, we present this approach of color blending in different color modes and its application in subsurface channel detection by using seismic attributes data. The color models include RGB model, CMY model and HSV model. We firstly calculate sensitive attributes from three dimensional seismic data, including envelop, coherence and spectral decomposition, etc. Then three types of normalized seismic attributes are set as input into the primary color channel of the color models respectively, and then mixed together to create one color blended volume in three dimensional visualization environment. The blended volume has plenty of geological information coming from the three input attributes, resulting in better resolution for channels than the single attribute. Applications in one survey of DQ oilfield show that channels are vividly imaged with special lighted color on the blended volume slices. The spatial distribution characteristics of channels, including the shapes and branches, are clearly depicted. And for the three blending methods, the RGB model is mostly preferred although the CMY model has almost similar performances in channel detection, while HSV model is slightly inferior in this case.

목차

Abstract
 1. Introduction
 2. Methodology
  2.1. Color Models
  2.2. Seismic Attributes
  2.3. Color Blending of Multiple Seismic Attributes
 3. Workflow
 4. Applications
 5. Conclusions
 References

키워드

저자

• Jianhua Cao [ College of Computer Science and Information Engineering, Tianjin University of Science and Technology, China ] Corresponding Author
• Yang Yue [ TROILA Development CO. Ltd, Tianjin, China ]
• Kunyu Zhang [ TROILA Development CO. Ltd, Tianjin, China ]
• Jucheng Yang [ College of Computer Science and Information Engineering, Tianjin University of Science and Technology, China ]
• Xiankun Zhang [ College of Computer Science and Information Engineering, Tianjin University of Science and Technology, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605