A Grid‐enabled problem‐solving environment for advanced reservoir uncertainty analysis
Identifieur interne : 000682 ( Istex/Corpus ); précédent : 000681; suivant : 000683A Grid‐enabled problem‐solving environment for advanced reservoir uncertainty analysis
Auteurs : Zhou Lei ; Gabrielle Allen ; Promita Chakraborty ; Dayong Huang ; John Lewis ; Xin Li ; Christopher D. WhiteSource :
- Concurrency and Computation: Practice and Experience [ 1532-0626 ] ; 2008-12-25.
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Abstract
Uncertainty analysis is critical for conducting reservoir performance prediction. However, it is challenging because it relies on (1) massive modeling‐related, geographically distributed, terabyte, or even petabyte scale data sets (geoscience and engineering data), (2) needs to rapidly perform hundreds or thousands of flow simulations, being identical runs with different models calculating the impacts of various uncertainty factors, (3) an integrated, secure, and easy‐to‐use problem‐solving toolkit to assist uncertainty analysis. We leverage Grid computing technologies to address these challenges. We design and implement an integrated problem‐solving environment ResGrid to effectively improve reservoir uncertainty analysis. The ResGrid consists of data management, execution management, and a Grid portal. Data Grid tools, such as metadata, replica, and transfer services, are used to meet massive size and geographically distributed characteristics of data sets. Workflow, task farming, and resource allocation are used to support large‐scale computation. A Grid portal integrates the data management and the computation solution into a unified easy‐to‐use interface, enabling reservoir engineers to specify uncertainty factors of interest and perform large‐scale reservoir studies through a web browser. The ResGrid has been used in petroleum engineering. Copyright © 2008 John Wiley & Sons, Ltd.
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DOI: 10.1002/cpe.1323
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Exper.</title><idno type="ISSN">1532-0626</idno><idno type="eISSN">1532-0634</idno><imprint><publisher>John Wiley & Sons, Ltd.</publisher><pubPlace>Chichester, UK</pubPlace><date type="published" when="2008-12-25">2008-12-25</date><biblScope unit="volume">20</biblScope><biblScope unit="issue">18</biblScope><biblScope unit="page" from="2123">2123</biblScope><biblScope unit="page" to="2140">2140</biblScope></imprint><idno type="ISSN">1532-0626</idno></series><idno type="istex">0457AB224A8AC8CBBB286F3C25D9276BBB2328DA</idno><idno type="DOI">10.1002/cpe.1323</idno><idno type="ArticleID">CPE1323</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1532-0626</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Grid computing</term><term>load balancing</term><term>problem‐solving environment</term><term>reservoir uncertainty analysis</term><term>task farming</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Uncertainty analysis is critical for conducting reservoir performance prediction. However, it is challenging because it relies on (1) massive modeling‐related, geographically distributed, terabyte, or even petabyte scale data sets (geoscience and engineering data), (2) needs to rapidly perform hundreds or thousands of flow simulations, being identical runs with different models calculating the impacts of various uncertainty factors, (3) an integrated, secure, and easy‐to‐use problem‐solving toolkit to assist uncertainty analysis. We leverage Grid computing technologies to address these challenges. We design and implement an integrated problem‐solving environment ResGrid to effectively improve reservoir uncertainty analysis. The ResGrid consists of data management, execution management, and a Grid portal. Data Grid tools, such as metadata, replica, and transfer services, are used to meet massive size and geographically distributed characteristics of data sets. Workflow, task farming, and resource allocation are used to support large‐scale computation. A Grid portal integrates the data management and the computation solution into a unified easy‐to‐use interface, enabling reservoir engineers to specify uncertainty factors of interest and perform large‐scale reservoir studies through a web browser. The ResGrid has been used in petroleum engineering. Copyright © 2008 John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Zhou Lei</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Gabrielle Allen</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Promita Chakraborty</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Dayong Huang</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>John Lewis</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Xin Li</name><affiliations><json:string>Department of Petroleum Engineering, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Christopher D. 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A Grid portal integrates the data management and the computation solution into a unified easy‐to‐use interface, enabling reservoir engineers to specify uncertainty factors of interest and perform large‐scale reservoir studies through a web browser. The ResGrid has been used in petroleum engineering. 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A Grid portal integrates the data management and the computation solution into a unified easy‐to‐use interface, enabling reservoir engineers to specify uncertainty factors of interest and perform large‐scale reservoir studies through a web browser. The ResGrid has been used in petroleum engineering. 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However, it is challenging because it relies on (1) massive modeling‐related, geographically distributed, terabyte, or even petabyte scale data sets (geoscience and engineering data), (2) needs to rapidly perform hundreds or thousands of flow simulations, being identical runs with different models calculating the impacts of various uncertainty factors, (3) an integrated, secure, and easy‐to‐use problem‐solving toolkit to assist uncertainty analysis. We leverage Grid computing technologies to address these challenges. We design and implement an integrated problem‐solving environment <i>ResGrid</i> to effectively improve reservoir uncertainty analysis. The ResGrid consists of data management, execution management, and a Grid portal. Data Grid tools, such as metadata, replica, and transfer services, are used to meet massive size and geographically distributed characteristics of data sets. Workflow, task farming, and resource allocation are used to support large‐scale computation. A Grid portal integrates the data management and the computation solution into a unified easy‐to‐use interface, enabling reservoir engineers to specify uncertainty factors of interest and perform large‐scale reservoir studies through a web browser. The ResGrid has been used in petroleum engineering. Copyright © 2008 John Wiley & Sons, Ltd.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Grid‐enabled problem‐solving environment for advanced reservoir uncertainty analysis</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>A PSE FOR ADVANCED RESERVOIR UNCERTAINTY ANALYSIS</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Grid‐enabled problem‐solving environment for advanced reservoir uncertainty analysis</title></titleInfo><name type="personal"><namePart type="given">Zhou</namePart><namePart type="family">Lei</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><description>Correspondence: Center for Computation & Technology, Louisiana State University, 350 Johnston Hall, Baton Rouge, LA 70803, U.S.A.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gabrielle</namePart><namePart type="family">Allen</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Promita</namePart><namePart type="family">Chakraborty</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Dayong</namePart><namePart type="family">Huang</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="family">Lewis</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xin</namePart><namePart type="family">Li</namePart><affiliation>Department of Petroleum Engineering, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Christopher D.</namePart><namePart type="family">White</namePart><affiliation>Department of Petroleum Engineering, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>John Wiley & Sons, Ltd.</publisher><place><placeTerm type="text">Chichester, UK</placeTerm></place><dateIssued encoding="w3cdtf">2008-12-25</dateIssued><dateCaptured encoding="w3cdtf">2007-07-16</dateCaptured><dateValid encoding="w3cdtf">2008-02-10</dateValid><copyrightDate encoding="w3cdtf">2008</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">7</extent><extent unit="tables">2</extent><extent unit="references">25</extent></physicalDescription><abstract lang="en">Uncertainty analysis is critical for conducting reservoir performance prediction. However, it is challenging because it relies on (1) massive modeling‐related, geographically distributed, terabyte, or even petabyte scale data sets (geoscience and engineering data), (2) needs to rapidly perform hundreds or thousands of flow simulations, being identical runs with different models calculating the impacts of various uncertainty factors, (3) an integrated, secure, and easy‐to‐use problem‐solving toolkit to assist uncertainty analysis. We leverage Grid computing technologies to address these challenges. We design and implement an integrated problem‐solving environment ResGrid to effectively improve reservoir uncertainty analysis. The ResGrid consists of data management, execution management, and a Grid portal. Data Grid tools, such as metadata, replica, and transfer services, are used to meet massive size and geographically distributed characteristics of data sets. Workflow, task farming, and resource allocation are used to support large‐scale computation. A Grid portal integrates the data management and the computation solution into a unified easy‐to‐use interface, enabling reservoir engineers to specify uncertainty factors of interest and perform large‐scale reservoir studies through a web browser. The ResGrid has been used in petroleum engineering. Copyright © 2008 John Wiley & Sons, Ltd.</abstract><note type="funding">U.S. Department of Energy - No. DE‐FG02‐04ER46136; </note><note type="funding">Board of Regents, State of Louisiana - No. DOE/LEQSF(2004‐07); </note><subject lang="en"><genre>keywords</genre><topic>problem‐solving environment</topic><topic>reservoir uncertainty analysis</topic><topic>Grid computing</topic><topic>task farming</topic><topic>load balancing</topic></subject><relatedItem type="host"><titleInfo><title>Concurrency and Computation: Practice and Experience</title></titleInfo><titleInfo type="abbreviated"><title>Concurrency Computat.: Pract. Exper.</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">1532-0626</identifier><identifier type="eISSN">1532-0634</identifier><identifier type="DOI">10.1002/(ISSN)1532-0634</identifier><identifier type="PublisherID">CPE</identifier><part><date>2008</date><detail type="volume"><caption>vol.</caption><number>20</number></detail><detail type="issue"><caption>no.</caption><number>18</number></detail><extent unit="pages"><start>2123</start><end>2140</end><total>18</total></extent></part></relatedItem><relatedItem type="preceding"><titleInfo><title>Concurrency: Practice and Experience</title></titleInfo><identifier type="ISSN">1040-3108</identifier><identifier type="ISSN">1096-9128</identifier><part><date point="end">2000</date><detail type="volume"><caption>last vol.</caption><number>12</number></detail><detail type="issue"><caption>last no.</caption><number>15</number></detail></part></relatedItem><identifier type="istex">0457AB224A8AC8CBBB286F3C25D9276BBB2328DA</identifier><identifier type="DOI">10.1002/cpe.1323</identifier><identifier type="ArticleID">CPE1323</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2008 John Wiley & Sons, Ltd.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>John Wiley & Sons, Ltd.</recordOrigin></recordInfo></mods></metadata><enrichments><json:item><type>multicat</type><uri>https://api.istex.fr/document/0457AB224A8AC8CBBB286F3C25D9276BBB2328DA/enrichments/multicat</uri></json:item></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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