A comprehensive techno-eco-assessment of CO2 enhanced oil recovery projects using a machine-learning assisted workflow

You, Junyu; Ampomah, William; Morgan, Anthony; Sun, Qian; Huang, Xiaoliang

doi:10.1016/j.ijggc.2021.103480

A comprehensive techno-eco-assessment of CO₂ enhanced oil recovery projects using a machine-learning assisted workflow

Journal Article · Fri Oct 08 00:00:00 EDT 2021 · International Journal of Greenhouse Gas Control

DOI:https://doi.org/10.1016/j.ijggc.2021.103480· OSTI ID:1977177

^[1]; Ampomah, William ^[2]; ^[2]; Sun, Qian ^[3]; Huang, Xiaoliang ^[4]

Chongqing Univ. of Science and Technology (China); New Mexico Institute of Mining and Technology, Socorro, NM (United States); OSTI
New Mexico Institute of Mining and Technology, Socorro, NM (United States)
New Mexico Institute of Mining and Technology, Socorro, NM (United States); China University of Geosciences (Beijing) (CUGB), (China)
Chongqing Univ. of Science and Technology (China)

Carbon dioxide enhanced oil recovery (CO₂-EOR) projects not only extract residual oil but also sequestrate CO₂ in the depleted reservoirs. Here, this study develops a machine-learning-based workflow to co-optimize the hydrocarbon recovery, CO₂ sequestration volume and project net present value (NPV) simultaneously. Considering the trade-off relationships among the objective functions, support vector regression with Gaussian kernel (Gaussian- SVR) proxies are coupled with multi-objective particle swarm optimization (PSO) protocol and generate Pareto optimal solutions. Taking advantage of the high computational efficacy of the proxy model, economic uncertainties introduced by tax credits, capital costs and oil price are investigated by this study. The results indicate that the tax incentive policy (Section 45Q) plays a vital role in enhancing the economic returns of CO₂-EOR projects, especially under the depression of crude oil market. The proposed workflow has been successfully implemented to optimize a water alternative CO₂ (CO₂-WAG) injection project in a depleted oil sand in the US. The optimization results yield an incremental oil production of 15.8 MM STB and 1.37 MM metric tons of CO₂ storage in a 20-year development strategy, with the highest project NPV to be 205.6 MM US dollars.

View Accepted Manuscript (DOE)

Research Organization:: New Mexico Institute of Mining and Technology, Socorro, NM (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

Grant/Contract Number:: FC26-05NT42591

OSTI ID:: 1977177

Journal Information:: International Journal of Greenhouse Gas Control, Journal Name: International Journal of Greenhouse Gas Control Journal Issue: C Vol. 111; ISSN 1750-5836

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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