Can We Treat CO2 Well Blowouts like Routine Plumbing Problems? A Study of the Incidence, Impact, and Perception of Loss of Well Control
| Autor: | Susan D. Hovorka, Sean L. Porse, Sarah Wade |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
public acceptance
Engineering business.industry media_common.quotation_subject Environmental resource management Public concern Media coverage Well control CO2 enhanced oil recovery recordkeeping and reporting risk management Risk perception Energy(all) Risk analysis (engineering) Perception CO2 well blowout Geographic regions Risk communication business Risk management media_common |
| Zdroj: | Energy Procedia. 63:7149-7161 |
| ISSN: | 1876-6102 |
| Popis: | Risk communication literature suggests that for a number of reasons, the public may perceive a risk to be greater than indicated by its statistical probability. Public concern over risk can lead to significant and costly delays in project permitting and operations. Considering these theories, media coverage of CO2-related well blowouts in 2013 gave rise to the questions: What is the risk of CO2 well blowouts associated with CCUS through CO2 EOR? What is the potential public perception of those risks? What information could be used to respond to public concern? To address these questions, this study aims to: 1) provide a framework for understanding the nature of onshore well blowouts, 2) quantify the incidence of such events for three specific geographic regions of Texas, 3) relate this data to CCUS and findings from other studies, and 4) explore the potential implications for public perception of this risk associated with CCUS projects. While quantifying answers to these questions proved to be challenging, the results from this study suggest that (1) the perceived risk of CO2 well blowouts may exceed the statistical risk and (2) information that could be used to address this gap could be made more readily available to the greater benefit of industry and stakeholders who support the development of CCUS as an option for addressing anthropogenic CO2 emissions. The study also suggests approaches to best conduct such data inquiries. |
| Databáze: | OpenAIRE |
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