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Thursday 28th September 2017

Schlumberger Gould Research Centre

Cambridge
United Kingdom

Background

Schlumberger (SLB) is the largest supplier of technical services to the oil and gas industry, helping its customers find and produce hydrocarbons more efficiently. SLB services range from seismic data acquisition and interpretation to drilling and constructing wells, not only for hydrocarbon and geothermal energy production but also for CO2 sequestration. SLB understands the challenges and requirements to innovate that give rise to short- and long-term vision.
The Schlumberger Gould Research Center houses multidisciplinary research teams focusing on drilling, chemistry, fluid mechanics, and geophysics, through a combination of theory, experiment, and computational simulation. Because variational methods play a crucial role at all stages of SLB’s research and operation,  SLB is partnering up with Variational methods and effective algorithms for imaging and vision  programme  at the Isaac Newton Institute (INI) to bring academicians and industrial researchers together under a series of workshops to explore the potentials of emerging methods in large-scale optimization, optimal transport and machine learning for oil and gas industry. The workshops titles and dates are as follows:

  1. Large-scale optimisation algorithms and its applications on 28 September 2017
    Confirmed speakers: Martin Benning (University of Cambridge), Yuri Boykov (University of Western Ontario), Antonin Chambolle (Ecole Polytechnique), Thomas Pock (TU Graz), Mila Nikolova (ENS Cachan, CNRS), Ben Veitch (Schlumberger Gould Research Cambridge), Olga Veksler (University of Western Ontario)
  2. Application of optimal transport on 27 October 2017
    Confirmed speakers: TBA
  3. Machine learning in for acquisition systems on 7 December 2017
    Confirmed speakers: TBA

This knowledge exchange event is delivered by the TGM as part of the Isaac Newton Institute Research Programme on Variational Methods and Effective Algorithms for Imaging and Vision. 

Aims and Objectives

SLB invited participants of the Isaac Newton Institute programme on Variational methods and effective algorithms for imaging and vision  programme to attend a day of talks and discussions on topics relevant to large scale optimization and their industrial applications. The talks were from INI and SLB participants with broad ranging discussions sought between academic and industrial researchers.

 

Registration

Registration was invitation only. The event took place at Schlumberger Gould Research Center, Schlumberger, High Cross, Madingley Road, Cambridge CB3 0EL