About Longting Mo Longting Mo Visiting Student, Stochastic Numerics Research Group uncertainty quantification Longting Mo is a Former visiting student from Nanjing University at Professor Raul F. Tempone's Stochastic Numerics Research Group (STOCHNUM) at King Abdullah University of Science and Technology (KAUST). Research Interests Longting research interest includes Uncertainty quantification in groundwater science. Education Profile Nanjing University. Professional Memberships American Geophysical Union. Events Presented Events Jan 18 - Jan 24, 2015 Bayesian OED for core-flooding experiment application based on Laplace Approximation by Longting Mo (Visiting Master student, Nanjing University, China) Longting Mo, Visiting Student, Stochastic Numerics Research Group Jan 22, 16:00 - 17:00 B1 R4214 Laplace approximation Core flooding experiments are always needed to be conducted before the application of Enhanced Oil Production (EOR) in the field, which is a great way to improve the oil recovery. In order to optimize existing resources and obtain the information efficiently, it is necessary to optimize these experiments.
Bayesian OED for core-flooding experiment application based on Laplace Approximation by Longting Mo (Visiting Master student, Nanjing University, China) Longting Mo, Visiting Student, Stochastic Numerics Research Group Jan 22, 16:00 - 17:00 B1 R4214 Laplace approximation Core flooding experiments are always needed to be conducted before the application of Enhanced Oil Production (EOR) in the field, which is a great way to improve the oil recovery. In order to optimize existing resources and obtain the information efficiently, it is necessary to optimize these experiments.
