Predicting ground surface deformation induced from CO₂ plume movement using machine learning

Ibrahim M. Ibrahim is a PhD student at the Queensland University of Technology and a postgraduate research student in the Energy Unit at CSIRO, where he actively contributes to cutting-edge research in the field. As a Sessional Academic, he imparts his knowledge to engineering to students at the university. Prior to his current academic pursuits, he had the privilege of being a research scholar at California Polytechnic State University in the field of Renewable Energy and Assistant Lecturer at AASTMT. Ibrahim has excelled in academia, holding an MSc degree in Mechanical Engineering, achieving a remarkable GPA of four and earning recognition through research publications in high-impact international journals. Ibrahim is an honoured recipient of one of the most prestigious awards in the field of Energy research, the Eni award for Young Talents from Africa under the distinguished presence of the President of Italy, who presented the award to him.

Dr Saeed Salimzadeh is a Senior Research Scientist at Subsurface Engineering and Technology team at CSIRO Energy, Clayton, Australia. He obtained his PhD in Geomechanics at University of New South Wales (UNSW Sydney) in 2014, and since has been working in international research institutes at Imperial College London; DTU, Denmark; and CSIRO, Australia. Saeed is an expert in reservoir geomechanics and hydraulic fracturing, through numerical modelling, machine learning, and inversion. He has developed the hydraulic fracturing simulator CSMP-HF and has supervised many master’s and PhD students.

Dane Kasperczyk is a senior engineer working in the Energy Resources group at CSIRO, he holds degrees from University of Melbourne in Civil Engineering and Science (Earth Sciences). For the past decade, he has worked on research and projects related to fracture mechanics modelling, hydraulic fracturing environmental risk probabilities and preconditioning for block caves, sublevel caves, and underground mines. Through this he has developed capability in subsurface monitoring using tiltmeters that has seen applicable use for mining, CO₂ sequestration and subsurface energy storage.

Teeratorn Kadeethum has a bachelor’s degree in mechanical engineering from Chulalongkorn University in Thailand (2007), a master’s degree in chemical engineering from the University of Calgary in Alberta, Canada (2016), and a PhD in Applied Mathematics and Computer Science from the Technical University of Denmark (2020). Following his PhD, he was a postdoctoral associate in mechanical and aerospace engineering at Cornell University in New York, USA (2020–2021). He is currently a senior technical staff member at the Climate Change Security Center at Sandia National Laboratories in New Mexico, USA. Prior to this, he accumulated 4 years of industrial experience as a reservoir engineer at PTT Exploration and Production, an international oil company. Teeratorn has authored over 20 research articles, and his research interests include scientific machine learning, advanced finite element approximations, and model order reduction, particularly in the context of nonlinear partial differential equations.