Research and Application Effect of High Precision Contemporanenous Display of River Channel and Sand Body Technology Based on Algorithm Optimization
International Journal of Oil, Gas and Coal Engineering
Volume 6, Issue 5, September 2018, Pages: 102-109
Received: Aug. 21, 2018; Accepted: Sep. 10, 2018; Published: Sep. 25, 2018
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Authors
Jiaguo Ma, Tianjin Branch of CNOOC Ltd, Tianjin, China
Jun Ming, Tianjin Branch of CNOOC Ltd, Tianjin, China
Jianli Wang, Tianjin Branch of CNOOC Ltd, Tianjin, China
Teng Wang, Tianjin Branch of CNOOC Ltd, Tianjin, China
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Abstract
The contemporaneous presentation of river channel, sand body and mud on the seismic attribution slice is the research that seismogeology personnel desire to realize. Especially at the oil field development stage, the research is very important to deploy the location of injection and production well. This paper takes A oil field, Bohai Bay area as the target region, on the basis of negative 90 degree rotation data volume, selects out the best Algorithm to depict river channel and sand body precisely and realizes the river and sand attributes data fusion. Based on this, the relationship between river, sand and mud were contemporaneously presented. Through combined research on well data, it verifies that the profile and slice of seismic data are in accord with well data. Based on this technology, the development and evolution of river channel and the internal structure of point bar were studied, and the historical evolution process of meander river channel was recovered, which provides a strong basis for residual oil research and high production adjusting well deployment.
Keywords
Multi-Attributes Fusion, High Precision Reservoir Prediction, Oilfield Development
To cite this article
Jiaguo Ma, Jun Ming, Jianli Wang, Teng Wang, Research and Application Effect of High Precision Contemporanenous Display of River Channel and Sand Body Technology Based on Algorithm Optimization, International Journal of Oil, Gas and Coal Engineering. Vol. 6, No. 5, 2018, pp. 102-109. doi: 10.11648/j.ogce.20180605.14
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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