*Registration deadline extended to 4:00 PM, Monday, January 12, 2009*
Upcoming WebCAST seminar entitled:
" OPTIMAL DESIGN AND OPERATION OF NATURAL GAS VALUE CHAINS"
By
Professor Paul I. Barton, MIT
Date: Tuesday, January 13, 2009, 2-4 pm (EST)
Dial-in from the comfort of your office to hear the presentation
Deadline to Register: 4:00 PM, Monday, January 12, 2009 (details at
http://www.castdiv.org/WebCAST.htm)
Abstract
Natural gas contributes roughly 20% of world energy consumption. Natural
gas reserves are plentiful
and natural gas produces less CO2 per unit of energy generated than any
other hydrocarbon. The liquefied
natural gas (LNG) segment is growing very rapidly and is enabling the
emergence of a global natural gas market.
Natural gas value chains have very distinctive features arising from the
low volumetric energy density of
natural gas, and the significance of gas quality and pressure in supply
chain operations. Gas infrastructure investments
can be risky due to the high capital and specificity of the
infrastructure, leading to complex ownership and contractual
agreements amongst multiple parties to manage this risk. This talk will
present two case studies applying optimization
formulations to the design and operation of natural gas value chains.
Short-term operational planning in upstream natural gas supply chains
can play an important role in ensuring reliable
supplies, consistent fulfillment of customer requirements and efficient
management of production and transportation
infrastructure. A real world case study involving the Sarawak Gas
Production System (SGPS), located in East Malaysia
and operated by Sarawak Shell, is presented to demonstrate a short-term
(8-12 weeks) production allocation model and
optimization framework for the upstream natural gas supply chain.
The second case study involves the design of a novel liquefied energy
chain for the exploitation of remote offshore natural
gas combined with CO2 capture and sequestration with enhanced oil
recovery. Here optimization is used to design novel
offshore and onshore subambient processes required to implement the
proposed supply chain.
Bio-Sketch: Professor Paul I. Barton
[log in to unmask]
Paul Barton is the Lammot du Pont Professor of Chemical Engineering at
MIT, where he has been since 1992. He received
his Ph.D. from the Centre for Process Systems Engineering at Imperial
College, London University in 1992. He has held Visiting
Professor appointments at CNRS-ENSIC, Nancy, France and EPFL, Lausanne,
Switzerland. He has industrial experience with BP and
Air Products, and has consulted for major corporations including Dow
Chemical, Alstom Power and Aspen Technology. In 2004 he
was awarded the Outstanding Young Researcher Award by AIChE's CAST
Division. Barton's research interests include hybrid
discrete/continuous dynamic systems; numerical analysis of ordinary
differential, differential-algebraic and partial differential-algebraic
equations; sensitivity analysis and automatic differentiation; global,
mixed-integer and dynamic optimization theory and algorithms;
and open process modeling software. Some of the applications his group
is currently focusing on include energy systems engineering,
continuous pharmaceutical manufacturing and organic electronic devices.
He served as Director of AIChE's CAST Division from
2001-2004 and is currently a subject editor for the journal /Optimal
Control Applications and Methods/. He is author or co-author of over
80 articles in refereed journals. He has been very active in the design
and the development of process modeling software, having been the
original author of gPROMS, and having led the development of
ABACUSS/JACOBIAN and DAEPACK at MIT, all of which are
now commercial products widely used in industry.
--
Mayuresh V. Kothare (WebCAST chair of the CAST division)
R. L. McCann Professor
Chemical Process Modeling and Control Research Center
Department of Chemical Engineering
Lehigh University, D322 Iacocca Hall
111 Research Drive, Bethlehem, PA 18015, U.S.A.
Tel: (610) 758 6654; Fax: (610) 758 5057
e-mail: [log in to unmask]
URL: http://www.lehigh.edu/~mvk2
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