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2011 Spring - WVU College of Engineering and Mineral Resources ...

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Faculty ReseaRChResearchers use artificialoptimize Marcellus shaleproductionBy Mary C. DillonThe Marcellus shale, an immense stretch <strong>of</strong> rock that runs deepunderground through parts <strong>of</strong> Pennsylvania, New York, Ohio, <strong>and</strong> WestVirginia, is rich in natural gas. Scientists have known about the formationfor a long time, but it wasn’t until recently that they realized it couldbe one <strong>of</strong> the largest-known natural gas fields in the world. A grant for$353,934 from the Gas Technology Institute (GTI) will enable researcherswith West Virginia University’s <strong>College</strong> <strong>of</strong> <strong>Engineering</strong> <strong>and</strong> <strong>Mineral</strong><strong>Resources</strong> to use data-intensive science to optimize gas production inthe region.Dr. Shahab Mohaghegh, a pr<strong>of</strong>essor in<strong>WVU</strong>’s Department <strong>of</strong> Petroleum <strong>and</strong> NaturalGas <strong>Engineering</strong>, is leading a team <strong>of</strong>researchers in applying the latest technologyto reservoir modeling. Mohaghegh isa pioneer in the application <strong>of</strong> artificialintelligence <strong>and</strong> data mining (AI&DM) in thepetroleum industry.<strong>Spring</strong> <strong>2011</strong> ENGINEERINGWV“Traditionally, in order to increase productionDr. Shahab Mohagheghyou would build a predictive reservoir modelusing conventional technology,” Mohaghegh said. “The technology weare using is new <strong>and</strong> unconventional. It is not based on physics <strong>and</strong>mathematics, but on ‘top-down’ modeling.”Conventional reservoir simulation <strong>and</strong> modeling is a bottom-up approach.It starts with building a geological model <strong>of</strong> the reservoir that is populatedwith the best petrophysical <strong>and</strong> geophysical information available at thetime <strong>of</strong> development. <strong>Engineering</strong> fluid flow principles are then added<strong>and</strong> solved numerically to arrive at a dynamic reservoir model. Themodel is calibrated using the production history <strong>of</strong> multiple wells, <strong>and</strong> thehistory-matched model is used to strategize field development in order toimprove recovery.4

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