How green is my oil? A detailed look at greenhouse gas accounting for CO2-enhanced oil recovery (CO2-EOR) sites

Azzolina, Nicholas A.; Peck, Wesley D.; Hamling, John A.; Gorecki, Charles D.; Ayash, Scott C.; Doll, Thomas; Nakles, David V.; Melzer, L. Stephen

doi:10.1016/j.ijggc.2016.06.008

Cited by 69 publications

(43 citation statements)

References 12 publications

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“…Injection of carbon dioxide for CO 2 -EOR results in its permanent storage in the oil reservoir, with minimal carbon dioxide lost in the process (14,30). Each ton of carbon dioxide injected yields two to three barrels of oil production (with variability between different oil fields) (29,30,38,39), which result in ∼1.2 tons of carbon dioxide when used (30). These are not net additional emissions, however, since each barrel of oil produced by CO 2 -EOR mostly displaces other oil in the market.…”

Section: Significancementioning

confidence: 99%

Infrastructure to enable deployment of carbon capture, utilization, and storage in the United States

Edwards

Celia

2018

Proc. Natl. Acad. Sci. U.S.A.

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In February 2018, the United States enacted significant financial incentives for carbon capture, utilization, and storage (CCUS) that will make capture from the lowest-capture-cost sources economically viable. The largest existing low-capture-cost opportunity is from ethanol fermentation at biorefineries in the Midwest. An impediment to deployment of carbon capture at ethanol biorefineries is that most are not close to enhanced oil recovery (EOR) fields or other suitable geological formations in which the carbon dioxide could be stored. Therefore, we analyze the viability of a pipeline network to transport carbon dioxide from Midwest ethanol biorefineries to the Permian Basin in Texas, which has the greatest current carbon dioxide demand for EOR and large potential for expansion. We estimate capture and transport costs and perform economic analysis for networks under three pipeline financing scenarios representing different combinations of commercial and government finance. Without government finance, we find that a network earning commercial rates of return would not be viable. With 50% government financing for pipelines, 19 million tons of carbon dioxide per year could be captured and transported profitably. Thirty million tons per year could be captured with full government pipeline financing, which would double global anthropogenic carbon capture and increase the United States' carbon dioxide EOR industry by 50%. Such a development would face challenges, including coordination between governments and industries, pressing timelines, and policy uncertainties, but is not unprecedented. This represents an opportunity to considerably increase CCUS in the near-term and develop long-term transport infrastructure facilitating future growth.

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Section: Significancementioning

confidence: 99%

Infrastructure to enable deployment of carbon capture, utilization, and storage in the United States

Edwards

Celia

2018

Proc. Natl. Acad. Sci. U.S.A.

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“…Power plant emissions are derived from the higher heating value (HHV) and the carbon (C) content of the coal and the net conversion efficiency of the plant [24].…”

Section: Carbon Emissions From Different Power Generatorsmentioning

confidence: 99%

“…Iribarren (2013) and Azzolina (2016) have calculated CO 2 produced from Supercritical BAT with CCS, IGCC with CCS and oxy-fuel capture, and they are 1.32 kg/kwh, 1.02 kg/kwh, and 1.02 kg/kwh, respectively [24,28]. Fig.…”

Section: Carbon Emissions From Different Power Generatorsmentioning

confidence: 99%

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Life Cycle CO2 Emission Estimation of CCS-EOR System Using Different CO2 Sources

Jiang¹,

Lei²,

Yang³

et al. 2018

Pol. J. Environ. Stud.

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“…To solve the problem of portfolio optimization, various tools and algorithms proposed and can use and also includes classical optimization algorithms [1][2][3] as well as the smart optimization algorithms (meta-heuristic). Stock portfolio problem in recent decades has been favorable issue for many researchers in industrial engineering [4][5], computer [6] financial [7][8][9], operations research and almost solved as a classic problem with met heuristic algorithms such as genetic [10][11][12], particle swarm [13,14], colonies of bees [15], ant colony [16,17] and Memetic [18]. Haghighi and Kazemi [19] solving problem using the ant colony algorithm and variance model to determine the type of error.…”

Section: Related Workmentioning

confidence: 99%

Providing an Evolutionary Approach for Multi-objective Portfolio Optimization Problem by Using Evolutionary Algorithm Multi-objective NSGAⅡ

Khajouri¹,

Khajouri²,

Saraei³

2017

bfup

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An important decision which companies should make is to create the optimal portfolio. Therefore, researchers have become interested in the selection of a portfolio with a high rate of return and controlled risk. The aim of this study is to use multi-objective meta heuristic algorithms for portfolio selection. NSGA-II, NRGA, and SPEA2 were used to form the proposed portfolio. Then VaR (value at risk) was regarded as a criterion for measuring risk. For this purpose, the information was collected from 20 companies operating in the stock market. They were selected from www.yahoo.com. The results indicated the efficiency and accuracy of the proposed algorithm in comparison with other algorithms.

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How green is my oil? A detailed look at greenhouse gas accounting for CO2-enhanced oil recovery (CO2-EOR) sites

Cited by 69 publications

References 12 publications

Infrastructure to enable deployment of carbon capture, utilization, and storage in the United States

Infrastructure to enable deployment of carbon capture, utilization, and storage in the United States

Life Cycle CO2 Emission Estimation of CCS-EOR System Using Different CO2 Sources

Providing an Evolutionary Approach for Multi-objective Portfolio Optimization Problem by Using Evolutionary Algorithm Multi-objective NSGAⅡ

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