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Design framework for polymer gel treatments from a database of field projects
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DOI：10.1016/s1876-3804(26)60728-8.png)
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Abstract
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This study compiles and analyzes data from over 125 published field projects around the world, covering nearly 900 treated wells. Building on those detailed studies, this paper distills the most important findings into a concise, practical, and actionable framework to guide where in-situ gel treatments should be applied, how they should be designed, and how their outcomes can be evaluated. The proposed workflow guides engineers through five integrated stages: screening appropriate gel types, designing formulation and injection strategies, predicting field response, evaluating treatment performance, and conducting iterative refinement with feedback loops to adjust designs based on observed outcomes. The framework integrates empirical selection rules, statistical design ranges, tapering strategies, and machine-learning tools, to support informed decision-making. While derived from retrospective analysis of mostly successful treatments, the structured methodology offers actionable guidance for future applications and helps bridge the gap between field observations and systematic design logic. By providing a data-informed workflow supported by field evidence, this study aims to enhance the reliability, consistency, and economic value of polymer gel treatments in complex reservoir conditions.
Keywords:
polymer gel
design framework
gel type
channeling type
injection strategy
evaluation indicator
conformance control
water control
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