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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>International Journal of Energy and Environmental Engineering</JournalTitle>
<Issn>2251-6832</Issn>
<Volume>3</Volume>
<Issue>1 (December 2012)</Issue>
<PubDate PubStatus="epublish">
<Year>2012</Year>
<Month>10</Month>
<Day>03</Day>
</PubDate>
</Journal>
<ArticleTitle>Integrated approach for the optimal selection of environmentally friendly drilling systems</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.1186/2251-6832-3-25</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Ok-Youn</FirstName>
<LastName>Yu</LastName>
<Affiliation>Appalachian State University, Boone, NC, 28608, US</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Zenon</FirstName>
<LastName>Medina-Cetina</LastName>
<Affiliation>Texas A&amp;M University, College Station, TX, 77843, US</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Seth D</FirstName>
<LastName>Guikema</LastName>
<Affiliation>Johns Hopkins University, Baltimore, MD, 21218, US</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Jean-Louis</FirstName>
<LastName>Briaud</LastName>
<Affiliation>Texas A&amp;M University, College Station, TX, 77843, US</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>David</FirstName>
<LastName>Burnett</LastName>
<Affiliation>Texas A&amp;M University, College Station, TX, 77843, US</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2012</Year>
<Month>10</Month>
<Day>03</Day>
</PubDate>
</History>
<Abstract>Abstract
There is a pressing need in the energy industry to develop technologies capable of reducing the environmental impact during oil and gas drilling operations. However, these technologies have not been fully integrated into a decision-making system that can reflect a quantitative effort toward this goal. This paper introduces two quantitative decision methods for the selection of environmentally friendly drilling systems. One is based on a multi-attribute utility approach and the other one is based on the analysis of interventions or causal approach. To illustrate the applicability of the proposed methods and to contract their benefits and limitations, a case study is presented using data collected from Green Lake at McFaddin, TX, USA.</Abstract>
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<Object Type="keyword">
<Param Name="value">Comparative analysis</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Environmentally friendly drilling</Param>
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<Object Type="keyword">
<Param Name="value">Decision-making</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Multi-attribute utility</Param>
</Object>
<Object Type="keyword">
<Param Name="value">System selection</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Intervention</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Causal approach</Param>
</Object>
</ObjectList>
</Article>
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