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dc.contributor.advisorPaul I. Barton.en_US
dc.contributor.authorTan, Siah Hongen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Chemical Engineering.en_US
dc.date.accessioned2017-09-15T15:32:38Z
dc.date.available2017-09-15T15:32:38Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/111403
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 259-274).en_US
dc.description.abstractThis thesis addresses the challenges brought forth by the shale oil and gas revolution through the application of formal optimization techniques. Two frameworks, each addressing the monetization of shale oil and gas resources at different ends of the scale spectrum, are developed. Importantly, these frameworks accounted for both the dynamic and stochastic aspects of the problem at hand. The first framework involves the development of a strategy to allocate small-scale mobile plants to monetize associated or stranded gas. The framework is applied to a case study in the Bakken shale play where large quantities of associated gas are flared. Optimal strategies involving the continuous redeployment of plants are analyzed in detail. The value of the stochastic solution with regards to uncertainty in resource availability is determined and it indicates that mobile plants possess a high degree of flexibility to handle uncertainty. The second framework is a comprehensive supply chain optimization model to determine optimal shale oil and gas infrastructure investments in the United States. Assuming two different scenario sets over a time horizon of twenty-five years, the features of the optimal infrastructure investments and associated operating decisions are determined. The importance of incorporating uncertainty into the framework is demonstrated and the relationship between the stability of the stochastic solution and the variance of the distribution of future parameters is analyzed. The thesis also analyzes the Continuous Flow Stirred Tank Reactor (CFSTR) equivalence principle as a method for screening and targeting favorable reaction pathways, with applications directed towards gas-to-liquids conversion. The principle is found to have limited usefulness when applied to series reactions due to an unphysical independence of the variables which allows for the maximization of production of any intermediate species regardless of the magnitude of its rate of depletion. A reformulation which eliminates the unphysical independence is proposed. However, the issue of arbitrary truncation of downstream reactions remains.en_US
dc.description.statementofresponsibilityby Siah Hong Tan.en_US
dc.format.extent274 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectChemical Engineering.en_US
dc.titleApplications of optimization to shale oil and gas monetizationen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.identifier.oclc1003291948en_US


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