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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Persian Gulf University</PublisherName>
				<JournalTitle>Journal of Oil, Gas and Petrochemical Technology</JournalTitle>
				<Issn>2383-2770</Issn>
				<Volume>6</Volume>
				<Issue>Number 1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>On the Reduction of Optimization Time in Simulation of Oil Reservoirs</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>39</FirstPage>
			<LastPage>50</LastPage>
			<ELocationID EIdType="pii">95565</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jogpt.2019.95565</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Kaveh</FirstName>
					<LastName>Mohammadi</LastName>
<Affiliation>School of Chemical Engineering, petroleum and gas, Iran University of Science and Technology, 16846 Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Forough</FirstName>
					<LastName>Ameli</LastName>
<Affiliation>School of Chemical Engineering, petroleum and gas, Iran University of Science and Technology, 16846 Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>Thermal recovery techniques including Fast-SAGD process increases the production efciency of heavy oil reservoirs. Eﬀective parameters in this study included injection and production rates, height of the injection, production, and oﬀset wells, production and injection cycles, and pressure of the oﬀset wells. In this study, optimization studies were performed. The objective function was defned as the cumulative steam injection to the produced oil to recovery factor. As optimization studies is a time- consuming process, discretized form of eﬀective parameters were applied in this study.&lt;br /&gt;Three methods of discretization were selected including linear, square, and logarithmic techniques and their results were compared. In this approach, discretization was based on the results of sensitivity analysis without the exact recognition of the reservoir parameters. Applying this technique, the optimization speed increased three times while the accuracy of the results remained constant. The diﬀerence between the optimization results in the continuous and discrete states was less than 3%. Moreover, simulation results of the fast-SAGD process with two cycles were presented in terms of RF, CSOR, temperature and pressure distributions, and the produced oil from SAGD and injected steam to the oﬀset well.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Discretization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">optimization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Reservoir Simulation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fast-SAGD</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jogpt.pgu.ac.ir/article_95565_afd8fc222e138366add7c9619201d6c8.pdf</ArchiveCopySource>
</Article>
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