Cookies

We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Department of Mathematical Sciences

Seminar Archives

On this page you can find information about seminars in this and previous academic years, where available on the database.

Stats4Grads: Bayesian Deconvolution in Well Test Analysis

Presented by Themistoklis Botsas, Durham University, Department of Mathematical Sciences

8 March 2017 13:00 in CM105

This work focuses on the development of a Bayesian approach to deconvolution in the context of well test analysis, a set of methodologies used in petroleum engineering that provides information about the properties and the structure of the reservoir and the wellbore using pressure and flow rate data. In particular, we are working on the construction of a suitable and meaningful Bayesian framework for the deconvolution in association with Makrov Chain Monte Carlo (MCMC) methods.

Contact themistoklis.botsas@durham.ac.uk for more information

See the Stats4Grads page for more details about this series.