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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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TZID:Asia/Macau
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170515T103000
DTEND;TZID=Asia/Macau:20170515T120000
DTSTAMP:20260511T210411
CREATED:20170515T023033Z
LAST-MODIFIED:20220927T044402Z
UID:6098-1494844200-1494849600@www.fst.um.edu.mo
SUMMARY:Recent developments in experimental micromechanics for geomechanics applications
DESCRIPTION:Instructors/Speakers\nProf. Kostas Senetakis\nAssistant Professor\nDepartment of Architecture and Civil Engineering\nCity University of Hong Kong\nHong Kong \nAbstract\nRecent developments in discrete element modeling (DEM) have enhanced our knowledge on the behavior of granular materials including soils\, which are complex in nature. This complexity is partly attributed to the interactions of grains at their contacts. However\, there has been less progress in experimental methods to measure different micro-quantities at the scale of a grain\, particularly quantifying\, friction\, stiffness and grain surface damage\, which would lead to a better understanding of the fundamental micro-mechanisms that control the macro-scale behavior of geo-materials. This would advance our numerical simulations providing realistic input to be used by DEM modelers\, therefore improving our predictive models for the safer design and assessment of important infrastructures. In this presentation\, recent developments in micromechanical experimental methods will be presented and discussed with a focus on the performance of a new generation apparatus developed at the City University of Hong Kong which is capable of measuring micro-quantities of real soil grain contacts. Applications to real engineering problems will be discussed and a strong link between micro-scale testing results and macro-scale behavior of soils under dynamic loads will be presented enhanced from recent research studies by the presenter. \nBiography\nDr. Senetakis joined City University of Hong Kong in December 2016 as an Assistant Professor. Prior to his new appointment\, he worked for two years as a Post-Doctoral Research Fellow at City University of Hong Kong (2011-2013) and three years as a Lecturer at Thammasat University in Bangkok Thailand (2013-2014) and UNSW in Sydney Australia (2014-2016). He holds a Diploma in Civil Engineering and he completed his MSc in Earthquake Engineering and Structural Dynamics in 2006 and PhD in Soil Dynamics in 2011 at the University of Thessaloniki Greece. Dr Senetakis research interests focus in the fields of experimental soil dynamics\, micromechanics\, geo-synthetics and recycled aggregates in geotechnics. Dr Senetakis worked for about five years as a consultant engineer in earthquake and geotechnical engineering projects and currently he is in charge of the Soil Mechanics Laboratory of the City University of Hong Kong which is one of the most well-equipped laboratories for advanced element and micro-mechanical testing for soils and weak rocks. \n 
URL:https://www.fst.um.edu.mo/event/recent-developments-in-experimental-micromechanics-for-geomechanics-applications/
LOCATION:E11-1006
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170524T103000
DTEND;TZID=Asia/Macau:20170524T113000
DTSTAMP:20260511T210411
CREATED:20170524T023050Z
LAST-MODIFIED:20220927T044401Z
UID:6103-1495621800-1495625400@www.fst.um.edu.mo
SUMMARY:Statistical Arbitrage under the Efficient Market Hypothesis
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/statistical-arbitrage-under-the-efficient-market-hypothesis/
LOCATION:E11-G015
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170525T103000
DTEND;TZID=Asia/Macau:20170525T111500
DTSTAMP:20260511T210411
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:20260511T210411
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170526T103000
DTEND;TZID=Asia/Macau:20170526T113000
DTSTAMP:20260511T210411
CREATED:20170526T023050Z
LAST-MODIFIED:20220927T044400Z
UID:6112-1495794600-1495798200@www.fst.um.edu.mo
SUMMARY:Uncertainty principle for 2D discrete signals
DESCRIPTION:Instructors/Speakers\nProf. Yan YANG\nAssociate Professor\nSchool of Mathematics\nSun Yat-Sen University\nChina \nAbstract\nIn this talk\, the uncertainty principle for 2D discrete signals associated with quaternion Fourier transform is obtained. As an application\, it explains an interesting phenomena in signal recovery problems where there is an interplay of missing data and time-limiting. \nBiography\nProf Yan Yang is an Associate Professor in Sun Yat-Sen University\, China. Her Research interest includes Complex Variables，Clifford Analysis，Signal analysis in higher dimensional spaces. Prof. Yan has published more than 25 papers on MMAS\, Acta Math Scientia\, Integral Operator and Special Functions and so on. \n 
URL:https://www.fst.um.edu.mo/event/uncertainty-principle-for-2d-discrete-signals/
LOCATION:E11-1035 (University of Macau)
CATEGORIES:event_list,seminarslectures
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