Description
Data-driven modeling is a cornerstone for many applications. Finding appropriate scale/level models conditioned to the data requires some type of reduced-order modeling. This workshop brings together experts working on mathematical, statistical, computational, and engineering aspects of model reduction to share their research experience.
The workshop will be hosted by Texas A&M University in College Station, Texas, and is supported by the Institute for Scientific Computation, Texas A&M Energy Institute, and Foundation CMG.
Organizing Committee
- Yalchin Efendiev, Institute for Scientific Computation
- Eduardo Gildin, Foundation CMG
- Joseph Kwon, Texas A&M Energy Institute
Speakers
- A Computationally Optimal Randomized Proper Orthogonal Decomposition Technique
- Anirban Bhattacharya, Department of Statistics
- Suman Chakravorty, Department of Aerospace Engineering
- A Proper Orthogonal Decomposition Method for Deforming Computational Domains
- Paul Cizmas, Department of Aerospace Engineering
- Computing a Quantity of Interest from Observational Data
- Yalchin Efendiev, Department of Mathematics
- Simon Foucart, Department of Mathematics
- Joint Exploratory Analysis of Multiple Heterogeneous Data Source
- Irina Gaynanova, Department of Statistics
- Applications of Generalized Multiscale Finite Element Modeling to Efficient and Adaptive Seismic Imaging Techniques
- Richard Gibson, Department of Geology & Geophysics
- Model Reduction for Efficient Oil Reservoir Simulation and Production Optimization
- Eduardo Gildin, Department of Petroleum Engineering
- Data-Driven Feasibility Mapping and Optimization
- Faruque Hassan, Department of Chemical Engineering
- Upscaling of Fluid Flow in High Contrast Systems
- Mike King, Department of Petroleum Engineering
- Dynamic Model Reduction for Two-Stage Anaerobic Bioreactors
- Costas Kravaris, Department of Chemical Engineering
- Development of Local Model Reduction Technique: Application to Hydraulic Fracturing
- Joseph Kwon, Department of Chemical Engineering
Schedule
All workshop presentations will take place in Rudder Tower (RDER) 510. Please note that the schedule is tentative and subject to change. All times listed are local time.
Thursday, April 27, 2017
| 8:30 – 9 a.m. | Costas Kravaris, Department of Chemical Engineering Dynamic Model Reduction for Two-Stage Anaerobic Bioreactors |
| 9 – 9:30 a.m. | Paul Cizmas, Department of Aerospace Engineering A Proper Orthogonal Decomposition Method for Deforming Computational Domains |
| 9:30 – 10 a.m. | Suman Chakravorty, Department of Aerospace Engineering A Computationally Optimal Randomized Proper Orthogonal Decomposition Technique |
| 10 – 10:30 a.m. | Irina Gaynanova, Department of Statistics Joint Exploratory Analysis of Multiple Heterogeneous Data Source |
| 10:30 – 11 a.m. | Break |
| 11 – 11:30 a.m. | Eduardo Gildin, Department of Petroleum Engineering Model Reduction for Efficient Oil Reservoir Simulation and Production Optimization |
| 11:30 a.m. – Noon | Anirban Bhattacharya, Department of Statistics |
| Noon – 1:30 p.m. | Lunch Break |
| 1:30 – 2 p.m. | Simon Foucart, Department of Mathematics Computing a Quantity of Interest from Observational Data |
| 2 – 2:30 p.m. | Richard Gibson, Department of Geology & Geophysics Applications of Generalized Multiscale Finite Element Modeling to Efficient and Adaptive Seismic Imaging Techniques |
| 2:30 – 3 p.m. | Faruque Hassan, Department of Chemical Engineering Data-Driven Feasibility Mapping and Optimization |
| 3 – 3:30 p.m. | Break |
| 3:30 – 4 p.m. | Joseph Kwon, Department of Chemical Engineering Development of Local Model Reduction Technique: Application to Hydraulic Fracturing |
| 4 – 4:30 p.m. | Mike King, Department of Petroleum Engineering Upscaling of Fluid Flow in High Contrast Systems |
| 4:30 – 5 p.m. | Yalchin Efendiev, Department of Mathematics |
Contact Information
If you have any questions concerning this workshop, email Brad Shumbera at shumbera@tamu.edu.