Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks
(2015)
Presentation / Conference Contribution
Oughton, R., Wooff, D., Swarbrick, R., & Hobbs, R. (2015, June). Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks. Presented at 77th EAGE Conference & Exhibition 2015 : Earth Science for Energy and Environment., Madrid, Spain
Pore pressure prediction is vital when drilling a well, as unexpected overpressure can cause drilling challenges and uncontrolled hydrocarbon leakage. Predictions often use porosity-based techniques, relying on an idealised compaction trend and using... Read More about Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks.