Data Driven Decision Support

Data Driven Decision Support

05 Sep 2017, 14:30 - 16:30

Fleming Auditorium

Oil and gas field development planning and management has always been built on a foundation of decisions informed by data.  With the exponential pace of increased computing power and decreased relative cost described by Moore’s Law the oil and gas sector’s ability to leverage its data sets to better inform and accelerate decision making can have a material impact on business performance.

In this session a number of cases are presented that demonstrate how increased computing power can:

•Bring new insights and fully exploit existing data sets.

•Better describe complex physical processes that need to analysed.

•Improve the reliability of predictions by integrating more sensor data to constrain simulations.

•Optimise overall system performance rather than individual domains.

•Provide real time decision support to improve drilling performance.



HPC-driven Seismic Processing and Time-Lapse (4D) Monitoring
C. Gerea, E. Zamboni, B. Duquet, TOTAL



A Novel Probabilistic Rig Based Drilling Optimization Index to Improve Drilling Performance
A. Ambrus, P. Ashok, A. Chintapalli, D. Ramos, Intellicess, Inc.; M. Behounek, T.S. Thetford, B. Nelson, Apache Corp



Big Data Analytics Drive EOR Projects
J. Xiao, X. Sun, Holding Energy Petroleum Engineering (BeiJing) Co.,Ltd.



  • Jonathan Copp



  • Ian Phillips



    Oil & Gas Innovation Centre

    Ian Phillips has over 30 years’ experience in the upstream oil and gas industry, including 18 years with oil operating companies (Shell, BP, Marathon...

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