1 / 20

Use of Image Analysis to develop new benchmarking datasets for variable-density flow scenarios

Use of Image Analysis to develop new benchmarking datasets for variable-density flow scenarios. Rohit R. Goswami 1,2 , and T. Prabhakar Clement 1 1 Department of Civil Engineering, Auburn University, Auburn, AL 2 Geosyntec Consultants, Boca Raton, FL. Outline.

pchase
Download Presentation

Use of Image Analysis to develop new benchmarking datasets for variable-density flow scenarios

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Use of Image Analysis to develop new benchmarking datasets for variable-density flow scenarios Rohit R. Goswami1,2, and T. Prabhakar Clement1 1 Department of Civil Engineering, Auburn University, Auburn, AL 2Geosyntec Consultants, Boca Raton, FL

  2. Outline • Components of Image Analysis (IA) procedure • Overview of IA • Benchmarking experiments • Two experiments- rising plume, sinking plume • Numerical modeling • Challenges • Alternate approaches

  3. Image Analysis- Background • Goswami & Clement (2007)- Laboratory-scale investigation of saltwater intrusion dynamics- Water Resources Research (43) Advancing Saltwater Wedge 5 mins 15 mins 55 mins

  4. Components of IA • Calibration Relationship: fluid property v/s image property • Calibration data- experimentally obtained • Regression analysis- selecting relationship • Estimation of concentration levels 0.0 0.5 1.0 2.0 3.0 4.0

  5. Benchmarking • Popular benchmarks • Henry problem- Henry (1964), Simpson & Clement (2004) • Elder problem- Elder (1967), Voss & Souza (1987) • Recent benchmarks- stable case • Oswald & Kinzelbach (2004), Goswami & Clement (2007) • Unstable case • Salt lake problem • Instabilities • Concentration data ? • Proposed exercise • IA to obtain concentration data • Testing the numerical approach

  6. Flow Tank Lighting CCD Camera Translucent Sheet Variable-density Experiments • Laboratory Setup • 6 MP CCD Camera • CFL bulbs • LTM • Porous media • Homogeneous packing • Image analysis process • Two experiments- rising plume, sinking plume LTM

  7. Variable-density Experiments • Example flow-tank setup

  8. Physical Model- Rising Plume 0 min 3 min 6 min 8 min

  9. Physical Model- Sinking Plume 0 min 2 min 5 min

  10. z x Conceptualization- Rising Plume p=0 p=0 Porous Media 180 mm 153 mm injection point 114 mm 225 mm

  11. z x Conceptualization- Sinking Plume constant h 174 mm constant h 178 mm injection point 54 mm Porous Media 145 mm 225 mm

  12. Numerical Modeling • Generation of instabilities- two approaches • Use of particle-tracking methods (MOC) with low dispersivity values • Use small scale heterogeneities • Which approach is appropriate and why? • We will explore both approaches using the variable-density model SEAWAT

  13. MOC Results- Rising

  14. MOC Results- Sinking

  15. Heterogeneity Generation Flow Tank TUBA MATLAB 1% variability

  16. Heterogeneity Results 0 min 1.0% Variability 3 min 0 min 2 min 5 min 6 min 8 min 1% Variability

  17. How Much Heterogeneity? 0 min 3 min 6 min 8 min 0.1% Variability 10% Variability 1.0% Variability

  18. Summary • Benchmarking datasets • We propose to use a combination of two unstable problems involving a sinking and a rising plume • They offer a unique combination – one with unstable fingers and one without fingers • Unstable benchmark problems can be simulated using two approaches – which is appropriate? • MOC/TVD with low dispersivity values • Heterogeneities • Heterogeneity approach appears to be more appropriate • How much heterogeneity to use is an open question

  19. Acknowledgements • Mr. Bharath Ambale, PhD Candidate, Department of Electrical Engineering, Auburn University • Dr. Elena Abarca, Fulbright Fellow, MIT, formerly at Auburn University • Mrs. Linzy Brakefield, USGS, formerly at Auburn University • Department of Civil Engineering, Auburn University, AL • Geosyntec Consultants, Boca Raton, FL

  20. Discussion

More Related