An overview of the recent publications, events and exciting work that's been happening in the Department of Earth Science and Engineering.
Cheng, M., Fang, F., Kinouchi, T., Navon, I.M. and Pain, C.C., (2020). Long lead-time daily and monthly streamflow forecasting using machine learning methods. Journal of Hydrology, p.125376. DOI: 10.1016/j.jhydrol.2020.125376
Cheng, M., Fang, F., Pain, C.C and Navon, I.M., (2020). Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network. Computer Methods in Applied Mechanics and Engineering, Vol365 p.113000. DOI: 10.1016/j.cma.2020.113000
Cheng, M., Fang, F., Pain, C.C and Navon, I.M., (2020). An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling. Computer Methods in Applied Mechanics and Engineering/, 372, p.113375. DOI: 10.1016/j.cma.2020.113375
Hicks, S.P., Okuwaki, R., Steinberg, A., Rychert, C., Harmon, N., Abercrombie, R., Bogiatzis, P., Schlaphorst, D., Zahradnik, J., Kendall, JM., Yagi, Y., Shimizu, K., Sudhaus, H. (2020). Back-propagating supershear rupture in the 2016 Mw 7.1 Romanche transform fault earthquake. Nature Geoscience. DOI: 10.1038/s41561-020-0619-9.
Lecocq, T., Hicks, S.P., Van Noten, K., van Wijk, K., Koelemeijer, P., De Plaen, R.S.M, et al. (2020). Global quieting of high-frequency seismic noise due to COVID-19 pandemic lockdown measures. Science. DOI: 10.1126/science.abd2438
Osman, H., Graham, G.H., Moncorge, A., Jacquemyn, C. & Jackson, M.D. (2020). Is cell-to-cell scale variability necessary in reservoir models? Mathematical Geosciences, DOI: 10.1007/s11004-020-09877-y
Purewal, S., Toquero, F.J., Burgos, E.S. et. al, (2020) . Pilot Program in Mexico Classifies Oil and Gas Projects Using UN Framework. SPE Journal of Petroleum Technology (JPT), p75-76. https://pubs.spe.org/en/jpt/jpt-article-detail/?art=7410?
Sahoo, H., Gani, M.R., Gani, N.D., Hampson, G.J., Howell, J.A., Storms, J.E.A., Martinius, A.W. & Buckley, S.J. (2020). Predictable patterns in stacking and distribution of channelized fluvial sandbodies linked to channel mobility and avulsion process. Geology, 48, 903-907. DOI: 10.1130/G47236.1
Robin Thomas gave an online presentation entitled “Interaction between hydraulic fractures and pre-existing fractures and faults” on 5th August , as part of the UK Unconventional Hydrocarbon Seminar Series. Robin is a PDRA, working with Adriana Paluszny and Robert Zimmerman on Challenge 2 of the NERC-funded UKUH Programme.
Beni Setiawan gave an online presentation entitled “Semi-analytical Method for Tracking the Evolution of Borehole Breakouts” on 7th August , as part of the American Rock Mechanics Association Summer Research Seminar Series. Beni is a PhD student working with Prof. Robert Zimmerman.
Satinder Purewal chaired a UNECE Webinar on “Application of UNFC to Petroleum Total Resource Management: Status and outlook” on 29th July , with over 200+ global attendees.
Adriana Paluszny was invited by the “Female Researchers Chapter of the International Association for Computational Mechanics” to give the first of the “Empowering Women in Computational Mechanics and Science: Rising Stars” talks on 20th July .
Stephen Hicks talked to National Geographic about the Weird ‘boomerang’ earthquake detected under the Atlantic Ocean.
Jay Bullen passed his PhD viva on 26th August. Congratulations!
The Marine and Coastal Environments Network at Imperial College presents a short online course on: Practical Image Processing for Scientists and Engineers.
The short course will be held by Dr. Filippo Bergamasco, Assistant Professor at the Department of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University of Venice, Italy. He is currently interested in high-precision photogrammetry, camera calibration, polarization imaging, ego-motion estimation and 3D reconstruction applied to moving/nonrigid objects.
Course Registration Information
This event is being organised by the Imperial College Marine and Coastal Environment Network MACE and registration can be completed by following this link. Please email Dr. Adrian Callaghan for further information. Registration deadline is 3rd September, at 12:00.
About the course
The aim of vision systems is to build a model of the environment based on the analysis of one or more images. This short online course provides a practical introduction to principles and fundamental algorithms used in order to create artificial vision systems. The course develops in a bottom-up fashion, starting from the fundamental concepts of "early vision" and progressing with the classical image processing methods to extract interesting features from images. Each lesson comprises practical examples to better frame the studied concepts to typical real-world scenarios.
5 Lectures (10 hours total), which will include the following topics: Spatial filtering & Morphological image processing, Colour vision, Edge and Corners, Pinhole camera. Each lecture lasts 2 hours, including questions. Classes will be delivered online using ZOOM.
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Department of Earth Science & Engineering