LAPSE:2023.23298
Published Article
LAPSE:2023.23298
A New Model for Discriminating the Source of Produced Water from Cyclic Steam Stimulation Wells in Edge-Bottom Water Reservoirs
Yuanrui Zhu, Shijun Huang, Lun Zhao, Menglu Yang, Tong Wu
March 27, 2023
Abstract
Heavy oil reservoirs with edge-bottom water represent a huge portion of the world’s reserves, and the effective development of such reservoirs with cyclic steam stimulation (CSS) is significant for the petroleum supply. However, the water cut of some CSS wells increases, and production decreases, with the increase of circulation turns. Discerning the source of the produced water is the basis of targeted treatment measures. In this paper, a new model is established for discriminating the source of produced water from CSS wells in edge-bottom water reservoirs. The model combines traditional hydrochemical characteristics analysis and factor analysis, and considers the quality change in injected water. The coefficient of formation water and injected water in produced water can thus be obtained. In addition, the normal distribution method is used to further divide interlayer water and edge-bottom water. The model was applied to a field case, and the results showed that one well was severely invaded by edge-bottom water. The results are consistent with field production performance, which further verifies the accuracy of the model. This model is of great significance for not only discriminating the source of produced water in an edge-bottom water reservoir, but also providing a basis for further the provision of further treatment measures.
Keywords
cyclic steam stimulation, edge-bottom water reservoirs, factor analysis, heavy oil, hydrochemical characteristics, source discrimination of produced water, weight coefficients
Suggested Citation
Zhu Y, Huang S, Zhao L, Yang M, Wu T. A New Model for Discriminating the Source of Produced Water from Cyclic Steam Stimulation Wells in Edge-Bottom Water Reservoirs. (2023). LAPSE:2023.23298
Author Affiliations
Zhu Y: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Huang S: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Zhao L: PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China
Yang M: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Wu T: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Journal Name
Energies
Volume
13
Issue
11
Article Number
E2683
Year
2020
Publication Date
2020-05-26
ISSN
1996-1073
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Original Submission
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PII: en13112683, Publication Type: Journal Article
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https://doi.org/10.3390/en13112683
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