Oil supply disruptions and modelling methodologies: The role of LP models
This paper has three main objectives. First, an argument is made that oil vulnerability is not a problem of the past, but remains a significant concern for all oil-consuming countries, especially beyond 1990. Second, it is suggested that the severity of past disruptions can be attributed, in part, t...
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Veröffentlicht in: | Energy economics 1988-04, Vol.10 (2), p.147-154 |
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creator | Curlee, T.Randall Turhollow, Anthony F. Das, Sujit |
description | This paper has three main objectives. First, an argument is made that oil vulnerability is not a problem of the past, but remains a significant concern for all oil-consuming countries, especially beyond 1990. Second, it is suggested that the severity of past disruptions can be attributed, in part, to physical and institutional constraints that prevented the oil market from reacting quickly to what were relatively minor supply disruptions. The currently changing structure of the world oil market, in particular the evolving sales agreements under which an increasing percentage of world oil is traded and the vertical integration of major OPEC members into areas such as refining, could decrease the ability of the market to adjust to future disruptions. Third, it is suggested that linear programming (LP) models offer unique capabilities in assessing the degree to which the world and domestic oil markets could adjust to short-term supply disruptions, given constraints on transport, trade, and refining possibilities imposed by the physical structures of those market sectors or by control of those sectors by increasingly powerful producing countries. The assessment of this flexibility will help pinpoint areas needing attention and also contribute indirectly to the evaluation of short-run demand elasticities for world oil. The US Department of Energy's Petroleum Allocation (PAL) Model is used as an example of one LP model that can address such issues. |
doi_str_mv | 10.1016/0140-9883(88)90029-1 |
format | Article |
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Third, it is suggested that linear programming (LP) models offer unique capabilities in assessing the degree to which the world and domestic oil markets could adjust to short-term supply disruptions, given constraints on transport, trade, and refining possibilities imposed by the physical structures of those market sectors or by control of those sectors by increasingly powerful producing countries. The assessment of this flexibility will help pinpoint areas needing attention and also contribute indirectly to the evaluation of short-run demand elasticities for world oil. 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Modelling ; Oil modelling ; Oil security ; Oil vulnerability</subject><ispartof>Energy economics, 1988-04, Vol.10 (2), p.147-154</ispartof><rights>1988</rights><rights>1989 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/0140-9883(88)90029-1$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,4006,27868,27923,27924,45994</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=7037802$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://econpapers.repec.org/article/eeeeneeco/v_3a10_3ay_3a1988_3ai_3a2_3ap_3a147-154.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Curlee, T.Randall</creatorcontrib><creatorcontrib>Turhollow, Anthony F.</creatorcontrib><creatorcontrib>Das, Sujit</creatorcontrib><title>Oil supply disruptions and modelling methodologies: The role of LP models</title><title>Energy economics</title><description>This paper has three main objectives. First, an argument is made that oil vulnerability is not a problem of the past, but remains a significant concern for all oil-consuming countries, especially beyond 1990. Second, it is suggested that the severity of past disruptions can be attributed, in part, to physical and institutional constraints that prevented the oil market from reacting quickly to what were relatively minor supply disruptions. The currently changing structure of the world oil market, in particular the evolving sales agreements under which an increasing percentage of world oil is traded and the vertical integration of major OPEC members into areas such as refining, could decrease the ability of the market to adjust to future disruptions. Third, it is suggested that linear programming (LP) models offer unique capabilities in assessing the degree to which the world and domestic oil markets could adjust to short-term supply disruptions, given constraints on transport, trade, and refining possibilities imposed by the physical structures of those market sectors or by control of those sectors by increasingly powerful producing countries. The assessment of this flexibility will help pinpoint areas needing attention and also contribute indirectly to the evaluation of short-run demand elasticities for world oil. The US Department of Energy's Petroleum Allocation (PAL) Model is used as an example of one LP model that can address such issues.</description><subject>Applied sciences</subject><subject>Energy</subject><subject>Energy economics</subject><subject>Exact sciences and technology</subject><subject>General, economic and professional studies</subject><subject>Methodology. Modelling</subject><subject>Oil modelling</subject><subject>Oil security</subject><subject>Oil vulnerability</subject><issn>0140-9883</issn><issn>1873-6181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1988</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><sourceid>K30</sourceid><recordid>eNo9kU1LxDAQhoMouH78Aw8BPeihOmm2TeJBkMVPFvSg55BNJ26k29SkK-y_N3XFwGSG4eF9YV5CThhcMmD1FbApFEpKfi7lhQIoVcF2yIRJwYuaSbZLJv_IPjlI6RMAqrqSE_L04lua1n3fbmjjU1z3gw9doqZr6Co02La--6ArHJahCW348Jiu6dsSaQwt0uDo_HXLpSOy50yb8PivH5L3-7u32WMxf3l4mt3OC-RqOhRCcAOONWXNwVluVJ3nUpa1rIRbqIU1HARyqEyNjgnujFSVWkillBUIjh-S061uH8PXGtOgP8M6dtlSs1pyxUopWKaet1TEHq3uo1-ZuNGYX4dog_7W3DDI32Yc8mVy87nKXP24mgrNqqleDqssdvZnaZI1rYumsz79iwrgQkKZsZstlq-B3x6jTtZjZ7HxEe2gm-B1thwj02MeesxDZ-ffyDTjP0jyiA0</recordid><startdate>19880401</startdate><enddate>19880401</enddate><creator>Curlee, T.Randall</creator><creator>Turhollow, Anthony F.</creator><creator>Das, Sujit</creator><general>Elsevier B.V</general><general>Elsevier Science</general><general>Elsevier</general><general>Guildford :IPC Science and Technology Press,1979</general><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>SPJJO</scope></search><sort><creationdate>19880401</creationdate><title>Oil supply disruptions and modelling methodologies: The role of LP models</title><author>Curlee, T.Randall ; Turhollow, Anthony F. ; Das, Sujit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-e394t-773a0f1d2630fc3a961d22826857fb9bca307e305a6ef173fa8959b8999c7e0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Applied sciences</topic><topic>Energy</topic><topic>Energy economics</topic><topic>Exact sciences and technology</topic><topic>General, economic and professional studies</topic><topic>Methodology. Modelling</topic><topic>Oil modelling</topic><topic>Oil security</topic><topic>Oil vulnerability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Curlee, T.Randall</creatorcontrib><creatorcontrib>Turhollow, Anthony F.</creatorcontrib><creatorcontrib>Das, Sujit</creatorcontrib><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>Periodicals Index Online Segment 48</collection><jtitle>Energy economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Curlee, T.Randall</au><au>Turhollow, Anthony F.</au><au>Das, Sujit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Oil supply disruptions and modelling methodologies: The role of LP models</atitle><jtitle>Energy economics</jtitle><date>1988-04-01</date><risdate>1988</risdate><volume>10</volume><issue>2</issue><spage>147</spage><epage>154</epage><pages>147-154</pages><issn>0140-9883</issn><eissn>1873-6181</eissn><coden>EECODR</coden><abstract>This paper has three main objectives. First, an argument is made that oil vulnerability is not a problem of the past, but remains a significant concern for all oil-consuming countries, especially beyond 1990. Second, it is suggested that the severity of past disruptions can be attributed, in part, to physical and institutional constraints that prevented the oil market from reacting quickly to what were relatively minor supply disruptions. The currently changing structure of the world oil market, in particular the evolving sales agreements under which an increasing percentage of world oil is traded and the vertical integration of major OPEC members into areas such as refining, could decrease the ability of the market to adjust to future disruptions. Third, it is suggested that linear programming (LP) models offer unique capabilities in assessing the degree to which the world and domestic oil markets could adjust to short-term supply disruptions, given constraints on transport, trade, and refining possibilities imposed by the physical structures of those market sectors or by control of those sectors by increasingly powerful producing countries. The assessment of this flexibility will help pinpoint areas needing attention and also contribute indirectly to the evaluation of short-run demand elasticities for world oil. The US Department of Energy's Petroleum Allocation (PAL) Model is used as an example of one LP model that can address such issues.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/0140-9883(88)90029-1</doi><tpages>8</tpages></addata></record> |
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subjects | Applied sciences Energy Energy economics Exact sciences and technology General, economic and professional studies Methodology. Modelling Oil modelling Oil security Oil vulnerability |
title | Oil supply disruptions and modelling methodologies: The role of LP models |
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