PhD Studentship in Uncertainty Quantification project
Subject: PhD Studentship at the Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh
Geological realism in reservoir models: uncertain data integration
A PhD studentship is available in the Institute of Petroleum Engineering at Heriot-Watt University, to work on an industry funded Uncertainty Quantification project.
Improvement of geological realism in reservoir models is one of the ultimate goals in assessing uncertainty of production predictions. One of the ways to characterize realistic geology is to describe model components and relations in a form of prior distributions, which are based on relevant geological knowledge and data. For instance, a relation between curvature and widths for fluvial channels is supported by observation of contemporary river systems.
The PhD work will be focused on integration of geo-data from different fields – geology, hydrology, paleo-geology, geography – into sub-surface reservoir models. More efficient use of relevant data as informative priors aims to improve realism and prediction capability of the petroleum reservoir forecasting model. Uncertain forecast can be improved by using realistic quantification of model unknowns described by statistical priors, elicited from geological prior knowledge. Use of informative prior distribution in prediction modelling requires self-consistent description of complex dependencies hidden in data, which are subject to vast uncertainties and usually cannot be well represented analytically.
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