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How Do We Quantify Subsurface Uncertainty and Reduce It?

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Course Credit: 0.15 CEU, 1.5 PDH

All subsurface models derived from seismic and offset well data have uncertainties inherent in the data even after all possible steps have been taken to process the data to maximize the accuracy. There is, however, one more step that could be taken – to quantify the remaining uncertainty. This is a relatively new technology that has value in exploration and drilling. For drilling applications this means a statistical 3D earth model at the well location instead of a fixed, deterministic one.

The drilling marker positions (depths) are represented as the best estimate plus an uncertainty distribution, for example 10% – 90% probability window, around it. Similarly pore pressure estimates, derived from velocities, come with confidence bounds. Statistical subsurface enables better well plans and contingencies before the spud and better decision making while drilling. All content contained within this webinar is copyrighted by Dr. Cengiz Esmersoy and its use and/or reproduction outside the portal requires express permission from Dr. Cengiz Esmersoy.

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  • 1How Do We Quantify Subsurface Uncertainty and Reduce It? - Chapter 1
    Media Type: Video


Earn credits by completing this course0.15 CEU credit1.5 PDH credits


Dr. Cengiz Esmersoy