oa Using Genetic Algorithms to Invert Numerical Simulations

The use of automated inversion methods to condition numerical reservoir models to both static data (well-logs) and dynamic data (production data) is becoming more important. It is essential that any methodology should be: robust to problems in the numerical simulation; able to handle all of the different classes of variables present; and be efficient both in terms of the number of simulations required and the wall-clock time taken.