MRes in Uncertainty Quantification

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
3 days after your application is submitted
Backlogs accepted
This course accepts backlogs

Overview

Nothing about oil reservoirs is ever absolutely certain. The critical question from a business viewpoint is whether the lack of knowledge makes a difference to how we develop a reservoir, and if it does whether we can choose a development plan that minimises the impacts of that uncertainty. The group develops and applies mathematical models to quantify uncertainty in an oil reservoir. It does this using advanced mathematical and statistical techniques to blend different sources of information (including production data) to come up with a statistically consistent estimate of uncertainty. Optimisation techniques are then used to identify reservoir development plans (or interventions such as infill drilling) that maximise expected return and minimise risk in that return.

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Requirements

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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
3 days after your application is submitted
Backlogs accepted
This course accepts backlogs