Toward Sustainable Green and Intelligent Profile Control Gels: An ETI–CFI-Based Structure–Environment Evaluation Framework

In the context of the "dual-carbon" strategy and the escalating challenges posed by ultra-high water-cut reservoirs, the development of green and intelligent profile control gels (PCGs) has become essential for balancing enhanced oil recovery (EOR) efficiency with environmental sustainability. In this study, a green performance evaluation framework integrating the Environmental Toxicity Index (ETI) and Carbon Footprint Intensity (CFI) is established to quantitatively assess the environmental friendliness of polymer gel systems. Representative gel types-including conventional chromium(III)-polyacrylamide(Cr(III)-PAM), citric acid-chitosan, and pH-responsive nanogels-are evaluated to reveal their structure-environment interactions. Comparative analysis shows that the Cr(III)-PAM system exhibits strong plugging capability but imposes the highest environmental burden (ETI = 1.45; CFI = 9.1 kg CO<sub>2</sub>e/kg), whereas the citric acid-chitosan system significantly reduces both toxicity (ETI = 0.42) and carbon footprint (CFI = 2.1). Meanwhile, pH-responsive nanogels demonstrate superior reservoir stability and sustainability under harsh conditions. The proposed ETI-CFI evaluation framework not only enables quantitative benchmarking of green performance but also provides a unified criterion for molecular design, material screening, and engineering application of intelligent green gels. This framework offers practical guidance for the low-carbon transformation of oilfield chemical systems, aligning innovation with sustainability objectives and supporting the realization of dual-carbon goals.

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Publication Details

Journal
Gels
Published
2025-11-27
DOI
https://doi.org/10.3390/gels11120952
Primary Topic
Enhanced Oil Recovery Techniques
Type
article
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article

Toward Sustainable Green and Intelligent Profile Control Gels: An ETI–CFI-Based Structure–Environment Evaluation Framework

Tong Wu, Qiang Chen, Hao Chen, Zhihua Chen et al.
Gels
Enhanced Oil Recovery Techniques
article

Toward Sustainable Green and Intelligent Profile Control Gels: An ETI–CFI-Based Structure–Environment Evaluation Framework

Tong Wu, Qiang Chen, Hao Chen, Zhihua Chen, Hanmin Xiao, Keqiang Wei
article en

Abstract

In the context of the "dual-carbon" strategy and the escalating challenges posed by ultra-high water-cut reservoirs, the development of green and intelligent profile control gels (PCGs) has become essential for balancing enhanced oil recovery (EOR) efficiency with environmental sustainability. In this study, a green performance evaluation framework integrating the Environmental Toxicity Index (ETI) and Carbon Footprint Intensity (CFI) is established to quantitatively assess the environmental friendliness of polymer gel systems. Representative gel types-including conventional chromium(III)-polyacrylamide(Cr(III)-PAM), citric acid-chitosan, and pH-responsive nanogels-are evaluated to reveal their structure-environment interactions. Comparative analysis shows that the Cr(III)-PAM system exhibits strong plugging capability but imposes the highest environmental burden (ETI = 1.45; CFI = 9.1 kg CO<sub>2</sub>e/kg), whereas the citric acid-chitosan system significantly reduces both toxicity (ETI = 0.42) and carbon footprint (CFI = 2.1). Meanwhile, pH-responsive nanogels demonstrate superior reservoir stability and sustainability under harsh conditions. The proposed ETI-CFI evaluation framework not only enables quantitative benchmarking of green performance but also provides a unified criterion for molecular design, material screening, and engineering application of intelligent green gels. This framework offers practical guidance for the low-carbon transformation of oilfield chemical systems, aligning innovation with sustainability objectives and supporting the realization of dual-carbon goals.

GelsVol. 11(12)
Chinese Academy of Sciences (CN), Institute of Porous Flow and Fluid Mechanics (CN), Research Institute of Petroleum Exploration and Development (CN), University of Chinese Academy of Sciences (CN), Jiangxi University of Science and Technology (CN)
Openalex Percentile: Top 54%
Enhanced Oil Recovery Techniques
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