Inverse Modeling for Dynamic Data Integration (3.0 units)
Introduction to fundamentals of deterministic and stochastic inverse modeling, integration of dynamic data into predictive reservoir models, reservoir parameterization, derivation of adjoint models. Recommended preparation: PTE 508, Basic knowledge of calculus, linear algebra and probability/statistics.
- Restriction: Registration open to the following class level(s): Master Student, Doctoral Student
- Restriction: Registration open to the following school(s): Andrew and Erna Viterbi School of Engineering
|32221R||048||Lecture||2:00-3:20pm||Mon, Wed||7 of 30||Behnam Jafarpour||GFS107|