Low carbon oil production: Enhanced oil recovery with CO2 from North Sea residual oil zones

Stewart, Robert; Johnson, Gareth; Heinemann, Niklas; Wilkinson, Mark; Haszeldine, R. Stuart

doi:10.1016/j.ijggc.2018.06.009

Cited by 24 publications

(14 citation statements)

References 24 publications

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“…The success of storage through EOR is also a potential opportunity to keep oil production through tertiary methods ''clean'' by encouraging CO 2 injection with stacked storage (which combines EOR with dedicated storage) even after all the oil has been removed. 15,35…”

Section: Ccs and Eormentioning

confidence: 99%

Carbon capture and storage at the end of a lost decade

et al. 2021

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Following the landmark 2015 United Nations Paris Agreement, a growing number of countries are committing to the transition to net-zero emissions. Carbon capture and storage (CCS) has been consistently heralded to directly address emissions from the energy and industrial sectors and forms a significant component of plans to reach net-zero. However, despite the critical importance of the technology and substantial research and development to date, CCS deployment has been slow. This review examines deployment efforts over the last decade. We reveal that facility deployment must increase dramatically from current levels, and much work remains to maximize storage of CO 2 in vast subsurface reserves. Using current rates of deployment, CO 2 storage capacity by 2050 is projected to be around 700 million tons per year, just 10% of what is required. Meeting the net-zero targets via CCS ambitions seems unlikely unless worldwide coordinated efforts and rapid changes in policy take place. ll

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Section: Ccs and Eormentioning

confidence: 99%

Carbon capture and storage at the end of a lost decade

et al. 2021

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“…11), due to decreasing oil viscosity and a cheaper cost than liquefied petroleum gas (LPG). Stewart et al claimed that there can be net emissions of CO2 when the maximum utilization of CO2 (CO2 EOR+) process could store more carbon than produced [166]. CO2-EOR projects in operation are mainly in the US and Canada, which are also associated with available sources of CO2.…”

Section: Enhanced Oil Recovery Coal Bed Methane and Co2 Frackingmentioning

confidence: 99%

Recent advances in carbon dioxide utilization

Zhang

Pan

et al. 2020

Renewable and Sustainable Energy Reviews

464

166

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“…Regarding the CO 2 -EOR in ROZs, many type of researches were conducted to prove the potential oil recovery 22 – 25 . Koperna et al 22 demonstrated that the CO 2 flooding is potential for the oil field development plan in ROZs of the Permian Basin.…”

Section: Introductionmentioning

confidence: 99%

“…Bergmo et al 24 conducted the simulation of CO 2 -EOR on water-flooded oil reservoirs underlying the paleo residual oil zone to estimate the potential oil recovery on ROZs. Stewart et al 25 carried out the simulation study to investigate the feasibility of CO 2 injection in ROZs of Pierce Oil Field, Central North Sea. These authors confirmed that the CO 2 -EOR could produce the low carbon intensity crude oil in the mature field.…”

Section: Introductionmentioning

confidence: 99%

Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones

Thanh

Sugai

Sasaki

2020

Sci Rep

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Residual Oil Zones (ROZs) become potential formations for Carbon Capture, Utilization, and Storage (CCUS). Although the growing attention in ROZs, there is a lack of studies to propose the fast tool for evaluating the performance of a CO2 injection process. In this paper, we introduce the application of artificial neural network (ANN) for predicting the oil recovery and CO2 storage capacity in ROZs. The uncertainties parameters, including the geological factors and well operations, were used for generating the training database. Then, a total of 351 numerical samples were simulated and created the Cumulative oil production, Cumulative CO2 storage, and Cumulative CO2 retained. The results indicated that the developed ANN model had an excellent prediction performance with a high correlation coefficient (R2) was over 0.98 on comparing with objective values, and the total root mean square error of less than 2%. Also, the accuracy and stability of ANN models were validated for five real ROZs in the Permian Basin. The predictive results were an excellent agreement between ANN predictions and field report data. These results indicated that the ANN model could predict the CO2 storage and oil recovery with high accuracy, and it can be applied as a robust tool to determine the feasibility in the early stage of CCUS in ROZs. Finally, the prospective application of the developed ANN model was assessed by optimization CO2-EOR and storage projects. The developed ANN models reduced the computational time for the optimization process in ROZs.

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Low carbon oil production: Enhanced oil recovery with CO2 from North Sea residual oil zones

Cited by 24 publications

References 24 publications

Carbon capture and storage at the end of a lost decade

Carbon capture and storage at the end of a lost decade

Recent advances in carbon dioxide utilization

Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones

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