Pre-feasibility study of CCS in western Nebraska

Wildgust, Neil; Leroux, Kerryanne; Botnen, Barry; Daly, Daniel; Jensen, Melanie D.; Kalenze, Nicholas; Burton-Kelly, Matthew E.; Dalkhaa, Chantsalmaa; Doll, Thomas; Gorecki, Charles D.

doi:10.1016/j.ijggc.2019.03.002

Cited by 6 publications

(5 citation statements)

References 6 publications

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“…This is also in-line with (Koh et al 2019) who presented the public understanding of CCS technology as an essential factor for technology adoption, R&D, funding, and even indicated the public understanding to affect the laws and policies. Hence, the understanding provided by the analysis is also in-line with (Wildgust et al 2019) who understand that the public outreach might be necessary for CCS implementation. The findings revealing the media-image of coal power supports previous literature (Arning et al 2019;van Alphen et al 2007;Whitmarsh et al 2019;) in the understanding that the public acceptance of CCS and CCU might be a vital precondition for the commercial-scale rollout of the technologies.…”

Section: Scientific Implicationssupporting

confidence: 58%

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Improving strategic decision making with big data-based media analysis - the case of coal power

Nuortimo

Härkönen

2019

IJGENVI

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Big data-based methods are currently being developed to aid corporate decision making. This study utilises a big data-based global media analysis to clarify the role of a coal power-related media image in company decision making. Opinion mining is carried out by utilising a specific software tool designed for media analysis and monitoring. The analysis is based on the notion that the media image of company productsor of a specific technologymay have an impact on corporate investment and divestment decisions in the energy production sector. The assumption is that a coal power-related media image may cause corporate brand image-related pressures. The findings indicate that the general media sentiment towards coal power clearly appears to be negative, possibly influencing decisions at the corporate level. It appears that the large negative media sentiment towards coal power in general may override the potential benefits of developing more unknown, cleaner types of coal power and related technologies such as carbon capture and storage (CCS) and carbon capture and utilisation (CCU). Hence, the negative media sentiment towards coal power may mitigate the potentially more positive image of related less well-known technologies. Evidence is provided on the media impact of coal power-related divestment decisions and potential impacts on decision making.

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Section: Scientific Implicationssupporting

confidence: 58%

“…Necessary regulatory environment may even not exist everywhere for CCS, but the public outreach is seen as a vital element for implementation (Wildgust et al 2019). The public acceptance of CCS is increasingly recognised as a vital precondition for the commercial-scale rollout of the technology (Whitmarsh et al 2019).…”

Section: Coal Power -Brief Reviewmentioning

confidence: 99%

Improving strategic decision making with big data-based media analysis - the case of coal power

Nuortimo

Härkönen

2019

IJGENVI

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“…The simulations were performed using the Computer Modelling Group Ltd.'s (CMG's) GEM simulator, which is a widely used Equation-of-State reservoir simulator for compositional, chemical, and unconventional reservoir modelling. 33,34 It can be used to accurately simulate the long-term impacts of CO 2 injection into deep saline aquifers and help managers analyze the feasibility of CCS projects. [35][36][37][38] The numerical method for solving the compositions equilibrium and mineral dissolution/precipitation as well as multiphase multicomponent transport is based on complete coupled and adaptive implicit approaches.…”

Section: Methodology Description Of Simulatormentioning

confidence: 99%

“…The simulations were performed using the Computer Modelling Group Ltd.’s (CMG's) GEM simulator, which is a widely used Equation‐of‐State reservoir simulator for compositional, chemical, and unconventional reservoir modelling 33,34 . It can be used to accurately simulate the long‐term impacts of CO 2 injection into deep saline aquifers and help managers analyze the feasibility of CCS projects 35–38 .…”

Section: Methodsmentioning

confidence: 99%

Long‐term CO₂ sequestration mechanisms and influence of injection mode in Zhujiang Formation of Pearl River Mouth Basin

Xuan,

Cao,

et al. 2024

Greenhouse Gases

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In this paper, the mechanisms of long‐term CO2 sequestration and the effects of injection modes (including injection temperature, injection rate and injection cycle) in Zhujiang Formation characterized by high porosity and permeability were investigated using the numerical simulation method. Simulation results showed that more than 88% of the injected CO2 would exist in a supercritical state during the injection period and more than 79% of CO2 would be sequestrated in the reservoir by mineral trapping after 5,000 years. Eventually, the distribution shape of SC‐CO2 was a quarter funnel near the injection well, while the distribution shapes of dissolved and mineralized CO2 were both one quarter rotunda. During the long‐term CO2 sequestration in Zhujiang Formation, the dissolved minerals were anorthite, chlorite and smectite in turn, while the top three main precipitated minerals were calcite, dawsonite and albite. Moreover, higher injection temperature leads to a higher mineral tapping and more dissolved/precipitated minerals. While higher injection rate reduces the mineral tapping and total amount of dissolved/precipitated mineral. Compared to injection temperature and injection rate, the injection cycle has little effect on the CO2 phase evolution and mineral dissolution/precipitation process. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.

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“…The Midcontinent region of the United States has been the focus of increasing interest for potential carbon capture and storage (CCS) and has been the subject of CO 2 storage resource assessments under the Plains CO 2 Reduction (PCOR) Partnership and the Carbon Storage Assurance Facility Enterprise (CarbonSAFE) Initiative, both sponsored by the U.S. Department of Energy (DOE). [1][2][3][4][5][6][7] The DOE CarbonSAFE Initiative was established by the DOE National Energy Technology Laboratory (NETL) to support the development of commercial-scale CCS complexes capable of storing 50+ million tonnes (Mt) from industrial sources for operation in the 2025-2030 timeframe. As part of the CarbonSAFE Initiative, the Integrated Midcontinent Stacked Carbon Storage Hub (IMSCS-Hub) team identified a clear strategy to meet DOE's 2025-2030 objective of commercial CCS implementation.…”

Section: Introductionmentioning

confidence: 99%

A simulation study of carbon storage with active reservoir management

et al. 2021

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As part of the Integrated Midcontinent Stacked Carbon Storage Hub (IMSCS-Hub) project led by Battelle Memorial Institute, a study was conducted to determine the feasibility of storing carbon dioxide (CO 2 ) in the stacked saline rock formations of the Sleepy Hollow Field (SHF), located in Red Willow County, southern Nebraska. A series of CO 2 injection simulation scenarios, with and without active reservoir management (ARM; brine extraction), were evaluated to investigate the feasibility of storing 50+ million tonnes (Mt) of CO 2 . The results indicated CO 2 injection combined with ARM may enable permanent storage of 50+ Mt of CO 2 . The area of review (AOR), the area in which underground sources of drinking water (USDWs) might be endangered during CO 2 injection, was assessed for the simulation scenarios. In comparison to a case without ARM, brine extraction resulted in a much smaller AOR, covering an area of 42 square miles (108.8 km 2 ), roughly one-fourth the size of an AOR resulting from CO 2 injection without ARM. The findings presented in this paper indicate that CO 2 injection with ARM can improve the CO 2 storage capacity of a geologic storage complex up to 100% while also reduce the rate of pressure buildup in the subsurface, resulting in a 75% reduction in AOR. This may help in lowering carbon capture and storage project costs, risks, and effort needed to meet monitoring requirements for a storage project.

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Pre-feasibility study of CCS in western Nebraska

Cited by 6 publications

References 6 publications

Improving strategic decision making with big data-based media analysis - the case of coal power

Improving strategic decision making with big data-based media analysis - the case of coal power

Long‐term CO₂ sequestration mechanisms and influence of injection mode in Zhujiang Formation of Pearl River Mouth Basin

A simulation study of carbon storage with active reservoir management

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Pre-feasibility study of CCS in western Nebraska

Cited by 6 publications

References 6 publications

Improving strategic decision making with big data-based media analysis - the case of coal power

Improving strategic decision making with big data-based media analysis - the case of coal power

Long‐term CO2 sequestration mechanisms and influence of injection mode in Zhujiang Formation of Pearl River Mouth Basin

A simulation study of carbon storage with active reservoir management

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Long‐term CO₂ sequestration mechanisms and influence of injection mode in Zhujiang Formation of Pearl River Mouth Basin