Dr Rachel Oughton's Outputs (2)

Independent evaluation of the Early Years Conversation Project (EYCP): A two-armed cluster randomised waitlist-controlled trial (2023)
Report
Qi, X., Menzies, V., Siddiqui, N., Ismail, N., & Oughton, R. (2023). Independent evaluation of the Early Years Conversation Project (EYCP): A two-armed cluster randomised waitlist-controlled trial. Education Endowment Foundation

Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well (2015)
Report
Oughton, R., Wooff, D., Hobbs, R., O'Connor, S., & Swarbrick, R. (2015). Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well. [No known commissioning body]

Pore pressure estimation is a crucial yet difficult problem in the oil industry. If unexpected overpressure is encountered while drilling it can result in costly challenges and leaked hydrocarbons. Prediction methods often use empirical porosity-base... Read More about Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well.