Novelties and Goodies!

 

Webinar Replay… Now Available In our latest session, Ali Azi (Welltest Nordisk) presented a rigorous methodology for quantifying uncertainty in Pressure Transient Analysis (PTA) results, moving beyond traditional rule-of-thumb error margins. Building on a 2008 paper and subsequent work, the approach combines well test models, static data, and Monte Carlo simulation to provide case-specific confidence intervals for parameters such as k, kh, C, S, and ri. You’ll see:  Why rule-of-thumb error margins fall short in PTA  How Monte Carlo methods deliver confidence intervals for key parameters  The impact of uncertainty quantification on forecasts and recovery estimates  A live demonstration of MonteCarloFlow, Welltest Nordisk’s implementation of the methodology  Watch the full recording here: https://youtu.be/g4zevmJw7so