Webinar: MODFLOW Solvers, Speed, Convergence and Robustness

MODFLOW continues to be the groundwater flow model of choice for hydrogeologic investigations, remedial evaluations, and water resource management throughout the world. In recent years, MODFLOW has advanced to include greater simulation capabilities and sophisticated numerical techniques for enhancing convergence and robustness. Recent releases of MODFLOW-NWT, MODFLOW-USG and MODFLOW 6 by the USGS, and of USG-Transport by GSI Environmental include state-of-the-art solution schemes to handle extremely complex and difficult models.

Difficulties in convergence or slow simulations are caused by various conditions specific to each model. Steady-state or transient simulations of the same model may also have different optimal settings for robustness and efficiency. Therefore, the solution schemes available in MODFLOW-NWT, MODFLOW-USG, MODFLOW 6, and USG-Transport include tuning parameters to assist with robust and efficient simulations for each situation. Default or suggested settings often work but may not be optimal: a 2- to 10-times speed-up may be obtained in many situations by examining simulation behavior and adjusting the solver parameters appropriately.

This webinar has been developed for modelers who want to get more out of their MODFLOW model. (Note that this is the same webinar that was presented in August 2019 and is being conducted again due to several requests.) The course covers principles on which the advanced solvers are based; the available tuning parameters and how they work; and how to analyze solver behavior to select optimal solver settings for any simulation. Specific topics that will be covered include:

  • Beyond “WET/DRY” tricks – up to MODFLOW 6
o   Formulation and Discretization
o   Nonlinear Solution Schemes and Linearization
o   Linear Matrix Solution

  • Model and Solver Parameter Settings
  • Runtime Diagnostic Tools
  • Troubleshooting, speed and convergence strategies
This 2.5 hour webinar is developed and conducted by Dr. Sorab Panday who has decades of experience with these advanced modeling solution schemes. It includes materials you probably will not find in a book or learn in school. The webinar is right for you if you have encountered one of the following:

  • Sought help from modelers at the USGS, the support desk at your favorite MODFLOW GUI developer, or from Sorab Panday at GSI Environmental on convergence or speed issues for your groundwater flow model
  • Wished that your MODFLOW model would run faster – it probably can if you knew how
  • Hoped that randomly changing one of the solver parameters will fix your convergence issues – a focused and targeted strategy would work better
  • Screamed at your computer screen in frustration expecting that would fix the model
  • Want to get more educated on nonlinear and linear solution schemes in general
  • Desire to be the Mighty Mouse of modelers

    The Webinar will begin at 9 am Eastern Time on April 28, 2020. Cost for the Webinar is $300 per person. Please register all participants if you have multiple attendees that are conferencing from your office. Please click on the Pay Now Button to register. Login details for the webinar will be emailed to you once you have registered.

    Since these are not normal times, we are offering this price ($300) for up to three people per office location.  
    Please email Robbie Hamilton (This email address is being protected from spambots. You need JavaScript enabled to view it.) with name of the person who registered and the names and email addresses of the additional persons.

Here is some of the feedback from people that have taken the course:
"I felt your webinar was one of the most valuable I’ve ever taken, …. "
"I thought the class was ideal in terms of complexity and utility. That is, you seemed to design it as an accessible and simple set of instructions for those setting up solvers and having convergence issues."
"Thank you for giving and organizing the webinar. I enjoyed it and found it very informative. Now I just have to put the learnings into practice."