Assisted History Matching and Uncertainty Analysis in tNavigator

Audience:
Reservoir engineers, geoscientists and other specialists who are interested in learning tNavigator.

Prerequisite:
Reservoir engineering background.

Duration: 
1-2 days.

Course content:

• Overview of Assisted History Matching and Uncertainty Analysis in tNavigator.
• Experimental design: Latin Hypercube, Grid Search, Tornado.
• Optimization algorithms: Differential evolution, Particle swam optimization (PSO), Simplex method (Nelder-Mead), Response surface (Proxy models).
• Arbitrary objective function, taking into account RFT/MDT measurements, NPV optimization.
• Job Queue.
• Graphical interface: graphs, tables, histograms, cross-plots to compare model variants.
• Typical AHM scenarios overview.
• AHM for different geological realizations.
• Analytics: Pearson correlation, Tornado plots.
• P10, P50, P90 and other quantiles.
• Forecast optimization, optimization of well position and trajectory.
• Theory and Practical examples.