SPE Dinner meeting

Book online

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 room will be 1.49, first floor of the RSM,

 

Agenda:

5.00-5.30 pm Talk 1: Evaluating economic impact of digitization on petroleum upstream projects

Omer Ahmed, Coventry University Postgraduate Student.

 

5.30-6.30 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).

 

6.30 -7.15 pm DRINKS AND NETWORKING BUFFET

 

Time: 7.15-8.45 pm Talk 3: Moving from Data Science Theory to Practice

Dr Emanuele Moscato, Developer, ASI Data Science.

 

Venue: The event will be held at the Department of Earth Science and Engineering, Imperial College London Map available here.

Directions: Please note the main entrance to the Department is via the Royal School of Mines Building on Prince Consort Road, between 10 and 12 on the campus map.

Booking: All booking must be paid in advance and online, please. Book via Eventbrite. 

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, 21 September (£19 after).

 

BEFORE DINNER

5.00 pm – 5.30 pm

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

The economy of fossil fuels undergone tremendous shift in recent years which partly is caused by environmental concerns that led major oil and gas companies to forecast energy transition scenario eliminating fossil fuels from energy mix within a generation. This presentation is trying to explore whether digital and smart technologies could extend the life of hydrocarbons.

Omer Ahmed, graduate accounting from Oxford Brookes University and MSc in oil and gas management at Coventry University. The MSc Oil and Gas Management course at Coventry University. Designed to provide understanding of the fundamentals of oil and gas management including the processes, drivers, threat and opportunities related to the management of the energy and hydrocarbon industry and to enable students to evaluate and apply a variety of skills, policies, operational strategies and techniques within the context of oil and gas management.

 

5.30 pm – 06.40 pm

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

In the beginning of the presentation there will be a brief overview of the two main areas where AI is currently applied in the oil and gas sector: operations and research. This presentation makes the point that market research is the area where the next big push of AI in oil and gas will take place. It will broaden the application of AI: from an operational instrument in exploration and field management to an analytical tool for corporate strategy and planning.

Peter Kaznacheev is Lead Economist at Khaznah Strategies Ltd. and Senior Research Fellow at King’s College London European Centre for Energy and Resource Security. His previous career includes upstream business development at BP and economic analysis with the World Bank. Master’s Degree in International Economics from the Johns Hopkins University and PhD in political science from the Moscow State University. Khaznah Strategies Ltd. is a London-based consulting and market research firm that advances the use of artificial intelligence and other innovative analytical tools across the energy industry. It focuses on such areas as big data applications for market research; the use of imagery from satellites and drones; economic and geopolitical risks that affect commodity markets.

DRINKS AND NETWORKING BUFFET: 6.30 pm-7.15 pm

AFTER DINNER

7.15 pm – 8.45 pm

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

Artificial Intelligence is no longer the distant future and is no longer confined to research laboratories. Rapid advances in the field mean that the benefits of AI can now be harnessed by real businesses, to solve real problems, with real impacts. We would love to inspire the audience to move from data science theory to practice and show how easy and powerful machine learning is. We will be sharing a few data science case studies followed by a live project coded from scratch

Dr Emanuele Moscato is a data scientist and developer advocate at ASI. During his fellowship, he used neural networks and other machine learning techniques to predict the spikes in the imbalance price of electricity, while also working on the communication and business sides of the data science practice. A passionate communicator, he assists the growth team in showing the potential of machine learning to audiences ranging from business executives to data scientists, in a constant effort to bring the community the best possible tools to manipulate the ever-growing amount of data that gets generated every day. During his PhD in Theoretical Physics at Queen Mary University of London, he applied string theory to describe black hole physics and try to shed a light on how nature works at the most fundamental level.

ASI believes that AI should be for everyone: we help our clients realise the benefits of research breakthroughs by applying cutting-edge data science and machine learning techniques to commercial, operational, and policy problems.Successful deployment of AI requires deep expertise combined with wide real-world experience, so we sit at the intersection of research and commercial application. We have research partnerships with Harvard and UCL, and all of our data scientists have STEM PhDs from leading universities. And we have applied this specialist knowledge in more than 200 commercial engagements, in fields ranging from counter-terrorism, to railway network performance, to marketing optimisation. We work with organisations at all levels of readiness, from those who are just beginning to extract value from their data to those with extensive capability who want to push the boundaries.