The training course provides the participants with the theoretical background and practical knowledge needed to solve inverse problems in geosciences and engineering. The course covers all aspects related to automatic model calibration using nonlinear parameter estimation methods, including sensitivity, error and uncertainty analysis. The lectures are complemented with computer exercises.

The introductory lectures will discuss the process of parameter estimation by automatic calibration of models. Parameterization of the forward model, selection of calibration data and their incorporation into an objective function are essential issues, as they determine whether a well-posed inverse problem can be formulated. Multiple optimization algorithms suitable to minimize the objective function will be presented. The need and usefulness of performing formal sensitivity, data-worth, residual, error, and uncertainty analyses will be emphasized.

In addition to the lectures, which provide the theoretical background, computer exercises using the iTOUGH2 simulation-optimization framework will offer hands-on experience in solving practical inverse problems. The combination of lectures and computer exercises will provide the attendees with solid knowledge in inverse modeling and initial experience in the use of iTOUGH2 for solving a variety of parameter estimation and optimization problems.

Registration Fees: General Attendee: $1250; Student: $600

Wednesday, November 2: 1pm – 5pm
Thursday, November 3: 8am – 5pm
Friday, November 4: 8am – 5pm