Water Coning Prediction: An Evaluation of Horizontal Well Correlations
Engineering and Applied Sciences
Volume 3, Issue 1, February 2018, Pages: 21-28
Received: Jan. 30, 2018; Accepted: Feb. 11, 2018; Published: Mar. 14, 2018
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Authors
Anietie Ndarake Okon, Department of Chemical and Petroleum Engineering, University of Uyo, Uyo, Nigeria
Dulu Appah, Department of Gas Engineering, University of Port Harcourt, Port Harcourt, Nigeria
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Abstract
Oil production from bottom-water drive reservoirs is characterized by water production related problem - water coning. Most times, horizontal wells are used to attenuate this production challenge. That notwithstanding, overtime, depending on the production rate, water coning is also experienced with horizontal wells. Therefore, several correlations have been developed to predict the critical rate, breakthrough time and water-cut performance after breakthrough in horizontal wells. However, limited studies have evaluated the predictions of these developed water coning correlations. Therefore, an evaluation has been made to predict the various water coning correlations in horizontal wells. The obtained results show that the critical rate directly depends on the stand-off to drainage width and horizontal well length to drainage width ratios. Also, it is shown that the breakthrough time directly depends on the horizontal well length to drainage width ratio. Furthermore, the correlations developed from water-cut data for the prediction of post-water behaviour (i.e., water-cut performance) after breakthrough indicate more proficient water-cut profile than the correlations developed from water-oil ratio. Therefore, to prolong the occurrence of water coning in horizontal wells, the ratios of stand-off to drainage width and horizontal well length to drainage width should be considered to achieve maximum critical oil rate and breakthrough time in bottom-water reservoirs.
Keywords
Bottom-Water Reservoir, Water Coning Prediction, Critical Rate, Breakthrough Time, Water-Cut Performance, Horizontal Wells
To cite this article
Anietie Ndarake Okon, Dulu Appah, Water Coning Prediction: An Evaluation of Horizontal Well Correlations, Engineering and Applied Sciences. Vol. 3, No. 1, 2018, pp. 21-28. doi: 10.11648/j.eas.20180301.14
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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