Building a GIS Map to Accelerate CO2 Utilization for Enhanced Oil Recovery

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Abstract/Contents

Abstract
This thesis investigates existing and potential uses of CO2 in order to accelerate the commercial deployment of CO2 -EOR projects as part of carbon capture and sequestration (CCS) efforts to reduce global warming. EOR is more attractive than CCS as it acts to sequester CO2 underground while simultaneously increasing oil recovery. In turn, the economic value obtained from additional oil will help offset CO2 capture and sequestration costs. Though CO2-EOR is well-developed, the dominant source of CO2 still comes from natural sources which has a small effect on mitigating climate change. It is therefore required that we shift towards anthropogenic CO2. However many oil field operators have not successfully implemented CO2 from industrial sources due to ignorance of the availability of supply sources in the area, supply limitations, higher cost and absence of transportation networks. One of the methods to address this problem is to use a geographical information system (GIS) map that that provides visual and spatial displays of data. The main purpose of the study is to develop the CO2-EOR map to facilitate the oil and gas industries in planning and executing CO2-EOR projects. The CO2-EOR map provides a visual display of CO2 supply sources, EOR injection sites and the existing pipeline transportation network. We have analyzed the map and suggested an optimized pathway in a particular area where demand and supply coexist. The plans to accommodate the industry in shifting towards industrial CO2 are also presented in two development stages that will ultimately result in estimated value of oil recovered at $558,117,000.

Description

Type of resource text
Date created June 2016

Creators/Contributors

Author Charoensawadpong, Panunya
Primary advisor Wilcox, Jennifer
Degree granting institution Stanford University, Department of Energy Resources Engineering

Subjects

Subject School of Earth Energy & Environmental Sciences
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Charoensawadpong, Panunya. (2016). Building a GIS Map to Accelerate CO2 Utilization for Enhanced Oil Recovery. Stanford Digital Repository. Available at: https://purl.stanford.edu/rq852kh7618

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Master's Theses, Doerr School of Sustainability

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