Date: 8 December 2020
Time: 16:00 - 18:00
Conveners: Matthew Brzostowski (Schlumberger)
Cengiz Esmersoy (Schlumberger)
Simone Re (Schlumberger)
Description:
Experience shows that our subsurface models may have large inaccuracies. A prospect may have a much different size than predicted. Formation tops, faults or salt bodies may show up too early or late compared with the well plan. Predicted geomechanical properties may not agree with what is encountered. All these continue to play a major factor in exploration priorities and risk management.
In this workshop we will focus on how to quantify these uncertainties, representing the subsurface as a stochastic model rather than a single deterministic model as we typically do today. Understanding these uncertainties and their roots will also help device ways of reducing them. As such, we want to emphasize the seismic and non-seismic tools, well data, applications, and case histories available to the industry.
Programme:
Special Session: Subsurface Uncertainty Quantification Part 1 - Towards stochastic models | |
16:00 | Introduction |
16:05 | Towards Uncertainty Estimation in Imaging of Low-relief Structures by Bayesian First-arrival Tomography A. Egorov*, I. Silvestrov, A. Bakulin, P. Golikov (Aramco) |
16:25 | Combining Stochastic Joint Inversion and Machine Learning for Litho-Fluid Facies Classification and Uncertainty Estimation of Well Logs P. Dell’Aversana* (Eni) |
16:45 | Q&A Session |
16:55 | Break |
Special Session: Subsurface Uncertainty Quantification Part 2 - Towards stochastic models | |
17:00 | From Data Analytics on Hundreds of Depth Structures to Agile Reservoir Modelling: Some Practical Steps Towards Stochastic Modelling P. Thomas* & M. Baker (Woodside Energy) |
17:20 | Quantifying Uncertainty Workshop Review R. Bloor* (Schlumberger) |
17:40 | Q&A Session |
17:50 | Closure remarks |
18:00 | End of programme |