Dear members,

We would like to invite you and your colleagues to the September London Section evening meeting for three presentations on artificial intelligence and deep learning for the oil and gas industry. This is an introduction also to the one-day machine learning course we are holding jointly with Imperial College on Thursday October 11th

Both events will be held at Imperial College; Royal School of Mines, Prince Consort Road, London, SW7 2BP.

The Royal School of Mines is about 15 minutes’ walk from South Kensington tube station via Exhibition Road and Prince Consort Road.

Date: TUESDAY 25th September 2018

Time: 5.00 pm-5.30 pm

Talk 1: Evaluating economic impact of digitization on petroleum upstream projects. Omer Ahmed, Coventry University Postgraduate Student

Time: 5.30 pm – 6.30 pm

Talk 2: Oil & Gas Artificial Intelligence 2.0. The Application of Geospatial Information and Big Data Analytics. Dr Peter Kaznacheev, Lead Economist & Managing Partner, Khaznah Strategies and Senior Research Fellow, Energy Security, King’s College London (EUCERS)

DRINKS AND NETWORKING BUFFET: 6.30 pm-7.15 pm

Time: 7.15 pm – 8.45 pm

Talk2: Moving from Data Science Theory to Practice, Dr Emanuele Moscato, Developer, ASI Data Science

Venue: Imperial College, Royal School of Mines, Prince Consort Road, London SW7 2BP

http://www.imperial.ac.uk/engineering/departments/earth-science/

Email: katespe@aol.com.

Cost £34 for SPE/PESGB/EI members, £44 non-members, £19 unemployed members.

Non-refundable £5 for students booking by Friday 21st Sept (£19 after).

Regards,

Tim Lines

SPE London Section - Programme Chairman

Email: tim.lines@oilfieldinternational.com

The SPE reserves the right to modify the program if speaker availability changes due to unforseen circumstances.