The ability of wellbore stability studies to fulfill their key objective, reducing non-productive time (NPT), is hindered by the uncertainties that fill them, and the lack of available software tools to incorporate relevant uncertainties into the calculation.
But this need not be the case.
Join Ivan Diaz-Granados in this webinar as he explores the possibility offered by stochastic wellbore analysis (SWBS) to account for uncertainties related to all key inputs used to build a mechanical earth model (MEM), including logs and calibration data, enabling you to quantify a realistic risk scenario for a planned well.
You’ll learn how, with this workflow, you can leverage new stress inversion methods to select field-representative tectonic strains and optimize the calibration process.
We’ll also discuss the role stochastic wellbore stability plays as the departure point to Delfi digital platform-enabled subsurface to drilling integration workflows. It can enable swift, up-to-date data sharing to drilling engineers and boost your cross-domain collaboration.
