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用于驱油聚合物设计与优化的分子动力学模拟前沿进展。

Frontier advances in molecular dynamics simulations for the design and optimization of oil-displacement polymers.

作者信息

Jiang Wenchao, Hou Zhaowei, Wu Xiaolin, Gai Jian, Zheng Liqiang, Wang Yunchao, Nie Chunlin, Lu Shouliang, Su Xu, Zhou Jiayu, Yan Shu, Yang Erlong, Huang Bin, Dong Chi, Sun Jichao, Su Long, Yao Shichun, Wang Yane, Yu Xiaodan, Liu Di, Jiang Jiang, Wu Jiaming, Fu Xuesong, Wang Shuanghua, Su Xueying, Shan Houfei, Zhang Lei, Qi Guangming, He Xiaoru, Li Jingya, Ma Yuxiao, Wang Yongping

机构信息

National Key Laboratory for Multi-resource Collaborated Green Development of Continental Shale Oil Daqing 163712 China

Exploration and Development Research Institute, PetroChina Daqing Oilfield Company Limited Daqing 163712 China

出版信息

RSC Adv. 2025 Jun 5;15(24):18836-18864. doi: 10.1039/d5ra00059a. eCollection 2025 Jun 4.

Abstract

This comprehensive review paper delves into the application and recent advancements of molecular dynamics (MD) simulation techniques in the design and optimization of polymers for oil displacement. Initially, the paper outlines the pivotal role of polymers in oil displacement, particularly highlighting the challenges associated with their stability and rheological property optimization under high-temperature and high-salinity conditions. Subsequently, it meticulously introduces the theoretical foundation of MD simulations, the selection of simulation parameters, and the emerging trends in the integration of machine learning with MD simulations. The core viewpoint revolves around the utilization of MD simulation techniques in elucidating the mechanisms of polymer-enhanced oil recovery (PEOR), optimizing polymer properties, and designing novel polymers. This includes observing polymer-oil interactions at the atomic scale and predicting the impact of polymer wettability changes on recovery efficiency. The unique contribution of this paper lies in systematically summarizing the application achievements of MD simulation techniques in the field of oil displacement polymers and providing insights for future research directions, thereby advancing the application and development of MD simulations in EOR polymer design. Future research endeavors will concentrate on developing multiscale simulation methodologies, exploring high-performance computing technologies, integrating experimental and simulation data, and assessing the environmental impact of polymers to foster the development of environmentally friendly oil displacement technologies. This review offers fresh perspectives to both the academic and industrial communities, particularly emphasizing the practical application potential in oilfield development and environmental management. By presenting an integrated view, this review paper serves as a catalyst for fostering innovative approaches and strategies in the domain of oil recovery enhancement through polymer technology.

摘要

这篇综合性综述论文深入探讨了分子动力学(MD)模拟技术在驱油用聚合物设计与优化中的应用及最新进展。论文首先概述了聚合物在驱油中的关键作用,特别强调了在高温高盐条件下聚合物稳定性及流变性能优化所面临的挑战。随后,详细介绍了MD模拟的理论基础、模拟参数的选择以及机器学习与MD模拟相结合的新趋势。核心观点围绕利用MD模拟技术阐明聚合物强化采油(PEOR)的机理、优化聚合物性能以及设计新型聚合物展开。这包括在原子尺度上观察聚合物 - 油相互作用以及预测聚合物润湿性变化对采收率的影响。本文的独特贡献在于系统总结了MD模拟技术在驱油聚合物领域的应用成果,并为未来研究方向提供见解,从而推动MD模拟在EOR聚合物设计中的应用与发展。未来的研究工作将集中在开发多尺度模拟方法、探索高性能计算技术、整合实验与模拟数据以及评估聚合物对环境的影响,以促进环保型驱油技术的发展。这篇综述为学术界和工业界提供了新的视角,尤其强调了在油田开发和环境管理中的实际应用潜力。通过呈现一个综合的观点,这篇综述论文成为通过聚合物技术促进提高采收率领域创新方法和策略的催化剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c4b/12138808/518d5dad8a17/d5ra00059a-f1.jpg

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