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Article

A New Method for Determining Production Profiles Based on Intelligent Slow-Release Chemical Tracers

1
China-France Bohai Geoservices Co., Ltd., Tianjin 300452, China
2
College of Geosciences, Yangtze University, Wuhan 430100, China
*
Author to whom correspondence should be addressed.
Processes 2025, 13(6), 1705; https://doi.org/10.3390/pr13061705
Submission received: 6 May 2025 / Revised: 19 May 2025 / Accepted: 28 May 2025 / Published: 29 May 2025
(This article belongs to the Section Chemical Processes and Systems)

Abstract

With the development of tracer technology and the improvement of fine management in oil fields, chemical tracer monitoring is widely used to analyze the production profiles in commingled wells and horizontal wells. However, most existing tracer technologies can only determine the production profile and cannot calculate the water cut. This paper proposes an intelligent slow-release chemical tracer monitoring technology and a corresponding interpretation methodology, which can quantify the oil and water production rates and dynamically analyze the water cut of production profiles by simultaneous deployment of oil-soluble and water-soluble tracers. To validate this approach, this method was applied to well A of the Bohai Oilfield. The results showed that the calculation model based on produced tracer concentration can quantitatively determine the production profile and water cut of the monitored well. During the stable production period, Well A exhibited high production rates and a low water cut, and the contribution of oil production varied greatly among different layers. The first and third sections were identified as the main contributors, accounting for 51.8% and 23.2% of production, respectively, while the second and fourth sections showed lower contributions of 15.1% and 9.9%. The water cut of each section was below 30%. This intelligent slow-release tracer monitoring technology allowed for continuous production profiles in the monitored well. The proposed method provides effective guidance for characterizing the production profile and water flooding patterns of each layer. It is helpful for the efficient development of oil and gas reservoirs.
Keywords: chemical tracers; intelligent slow-release type; oil wells; production profiles; water cut; interpretation methods chemical tracers; intelligent slow-release type; oil wells; production profiles; water cut; interpretation methods

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MDPI and ACS Style

Wang, L.; Lv, L.; Chen, P. A New Method for Determining Production Profiles Based on Intelligent Slow-Release Chemical Tracers. Processes 2025, 13, 1705. https://doi.org/10.3390/pr13061705

AMA Style

Wang L, Lv L, Chen P. A New Method for Determining Production Profiles Based on Intelligent Slow-Release Chemical Tracers. Processes. 2025; 13(6):1705. https://doi.org/10.3390/pr13061705

Chicago/Turabian Style

Wang, Liang, Lingang Lv, and Peng Chen. 2025. "A New Method for Determining Production Profiles Based on Intelligent Slow-Release Chemical Tracers" Processes 13, no. 6: 1705. https://doi.org/10.3390/pr13061705

APA Style

Wang, L., Lv, L., & Chen, P. (2025). A New Method for Determining Production Profiles Based on Intelligent Slow-Release Chemical Tracers. Processes, 13(6), 1705. https://doi.org/10.3390/pr13061705

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