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X-WR-CALNAME:Faculty of Science and Technology | University of Macau
X-ORIGINAL-URL:https://www.fst.um.edu.mo
X-WR-CALDESC:Events for Faculty of Science and Technology | University of Macau
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170525T103000
DTEND;TZID=Asia/Macau:20170525T111500
DTSTAMP:20260511T134505
CREATED:20170525T023040Z
LAST-MODIFIED:20220927T044401Z
UID:6105-1495708200-1495710900@www.fst.um.edu.mo
SUMMARY:Numerical Simulation of Polymer Flooding with MRST
DESCRIPTION:Instructors/Speakers\nDr. Kai BAO\nDepartment of Mathematics & Cybernetics at SINTEF\nOslo\nNorway \nAbstract\nIn this talk\, main topic will be the development of a fully-implicit polymer flooding simulator within MATLAB Reservoir Simulation Toolbox (MRST). We will introduce the background of the reservoir simulation\, water-flooding and why we need to use polymer to change the flooding fluid property. Physical equations are presented to describe the polymer flooding process. Then we introduces the key features of MRST\, such as its modular design\, vectorized implementation\, support for general unstructured grids\, and automatic differentiation framework\, which makes it a very powerful prototyping and experimentation platform for development of new flow models for reservoir simulation. Certain implementation details are discussed and verification against commercial simulators are provided. Application of the simulator to different scenarios is presented. And finally\, we will introduce briefly the open-source development activities in Computational Geosciences group in SINTEF Digital. \nBiography\nKai Bao is a Research Scientist in the Department of Mathematics & Cybernetics at SINTEF\, Oslo\, Norway. Before he joined SINTEF in March 2014\, he worked for over 3 years as a postdoctoral fellow in King Abdullah University of Science and Technology\, Saudi Arabia. He holds a BE degree in thermal engineering from Xi’an Jiaotong University and a PhD degree in computer applied technology from Institute of Software\, Chinese Academy Sciences. He is a member of the Society of Petroleum Engineers (SPE) and European Association of Geoscientists and Engineers (EAGE) . \nKai’s research interests include reservoir simulation\, parallel computing\, chemical enhanced oil recovery\, computational fluid dynamics and physically based fluid animation. He has published papers through journals and conferences on above fields. He is actively involved in the development of the open-source reservoir simulators\, Open Porous Media (OPM\, http://opm-project.org/) and MATLAB Reservoir Simulation Toolbox (MRST\, http://www.sintef.no/projectweb/mrst/). \n 
URL:https://www.fst.um.edu.mo/event/numerical-simulation-of-polymer-flooding-with-mrst/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170525T111500
DTEND;TZID=Asia/Macau:20170525T120000
DTSTAMP:20260511T134505
CREATED:20170525T031538Z
LAST-MODIFIED:20220927T044400Z
UID:6109-1495710900-1495713600@www.fst.um.edu.mo
SUMMARY:Predicting the fate of a migrating fluid using spill-point analysis\, with application to CO2 storage modelling
DESCRIPTION:Instructors/Speakers\nDr. Rebecca ALLEN\nMathematics and Cybernetics Department of SINTEF Digital \nAbstract\nTo reduce the amount of anthropogenic carbon dioxide (CO2) that is released to the atmosphere\, CO2 can be captured from its point source and injected into subsurface saline aquifers for long-term storage. This concept is known as Carbon Capture and Storage (CCS)\, and has been put into practice for more than 20 years in Norway. An important question to answer before starting a storage project is how much CO2 may be adequately trapped in a saline aquifer. To estimate this storage capacity\, one must consider the flow dynamics involved during injection and post-injection\, and simulation software plays an important role in this regard. During the injection period\, CO2 is primarily driven by pressure gradients\, however after injection has stopped\, CO2 is primarily driven by gravity forces and its migration is strongly influenced by the shape of the aquifer’s top-surface. As such\, spill-point analysis can be used to help predict the long-term migration of CO2 within the aquifer. This reduces the need to perform computationally intensive simulations for thousands of years\, yet still captures the amount of CO2 destined to remain within the aquifer. \nBiography\nRebecca Allen is a Post Doctorate Fellow at the Computational Geosciences group of the Mathematics and Cybernetics department of SINTEF Digital. She obtained her BEng in Civil Engineering from McMaster University in Canada in 2009. Between 2009 and 2015\, she completed her MSc in Environmental Science and Engineering and her PhD in Earth Science and Engineering from King Abdullah University of Science and Technology in Saudi Arabia. She is a member of the Society of Petroleum Engineers (SPE)\, the International Society for Porous Media (InterPore) and the IEAGHG modelling network. In 2013\, she was co-awarded as an outstanding student at IEAGHG’s International Summer School on Carbon Capture and Storage\, and was invited to be a student mentor at the following year’s summer school. \nRebecca’s current research activities are related to modelling large-scale storage of CO2 in geological formations\, in particular well optimization\, model calibration\, and capacity estimation. She has published work in Geofluids\, Energy Procedia\, SPE Journal\, and Progress in Computational Fluid Dynamics. She has also presented work at various conferences including GHGT\, InterPore\, SPE Reservoir Simulation Symposium\, and ECMOR. \n 
URL:https://www.fst.um.edu.mo/event/predicting-the-fate-of-a-migrating-fluid-using-spill-point-analysis-with-application-to-co2-storage-modelling/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
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