We would like to invite you and your colleagues to the February London Section evening meeting for lectures on Opportunities in Iran, Doing business in Russia, and Artificial Intelligence / Machine Learning in Oil and Gas.
This event 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..
Please, read more about the agenda, the talk content, and the booking information below.
SPE London Section - Programme Chairman
||Talk and Speaker
|5.00 pm -
|Time: 5.00 pm – 5.45 pm
Talk1: Doing business in Russia: The Oil and Gas Sanctions. Ben Smith, Baker McKenzie
Time: 5.45 pm – 6.30 pm
Talk2: Opportunities for Western Companies in Iran: exploration, production, services. Dr Manouchehr Takin, Iran specialist
Read more >
|6.30 pm -
|DRINKS AND NETWORKING BUFFET
|7.15 pm -
|Time: 7.15 pm – 8.45 pm
Talk3: Finding a Needle in an Ocean of Data with Deep Learning and Digital Twins. Arun Subramaniyan, Vice President, Data Science & Analytics, GE Oil & Gas Digital.
Read more >
Venue: The event will be held at the Department of Earth Science and Engineering, Imperial College London. Map: http://www.imperial.ac.uk/media/imperial-college/visit/public/Map-of-South-Kensington-Campus-%5Bpdf%5D.pdf
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, via Eventbrite.
Cost £34 for SPE/PESGB/EI members, £44 non-members, £19 unemployed members. Non refundable £5 for students booking by Friday February 23 ( £19 after ) All tickets have an additional Eventbrite fee.
5.00 pm – 5.45 pm, Doing business in Russia: The Oil and Gas Sanctions, Ben Smith, Baker McKenzie
The continuing need for energy and infrastructure assets to be replaced means investment is required on a global scale. Estimates by the International Energy Agency suggest there will be upwards of US$68 trillion invested in the world energy sector from 2015 to 2040. With traditional public funding avenues now insufficient, creativity and innovation is required to help realize the next generation of projects.
These large-scale schemes require cross-border experience and the ability to devise tailored solutions to both domestic and international challenges. Working seamlessly across our 77 offices in 47 countries, we can help clients to structure, acquire, finance and implement projects, and manage their investments, whether in developed, developing or transition countries.
Building on our wealth of experience in this sector - we have been specializing in international energy, mining and infrastructure projects worldwide for more than 65 years – we understand the needs of both investors and financiers. Our transactional capability, coupled with our broad-ranging skills in finance, corporate, tax, and environmental and competition law, means we can deliver commercially effective solutions at every stage of the process.
By combining an uncompromising commitment to excellence with our results-driven outlook, we can deliver high quality local law services in more jurisdictions across the globe than any other law firm
Ben Smith is a Senior Associate in the London EU, Competition and Trade Department. He recently returned from secondment with the Baker Mckenzie San Francisco office. Ben specialises in EU and UK export control and sanctions law, as well as anti bribery and corruption and antitrust. He spent a year on secondment to Shell in 2016, acting as EU/ UK sanctions and export controls counsel, and previously worked on secondment in the British Airways legal team. Ben advises clients in a number of sectors with a particular focus on IT/ communications , energy and energy services, defence, transport, and FMCG. Ben has significant experience in advising and assisting with risk assessments, compliance programmes, investigations, licence applications, export control classification, and voluntary disclosures.
5.45 pm – 6.30 pm Opportunities for Western Companies in Iran: exploration, production, services, Dr Manouchehr Takin, Iran specialist
Iranian oil and gas industry’s performance will be reviewed noting the 1979 Islamic Revolution and foreign companies’ departure, Iran-Iraq war and Iran’s re-opening in 1995 (Buy Back model) bringing $30 billion foreign investment with new discoveries and field development projects. Sanctions imposed on Iran were partly removed following the international JCPOA deal in 2016. Iran’s industry is in need of foreign investment, technology and project management and is offering oil and gas projects under a new IPC model. Great opportunities exist but the new entrants face many challenges.
Manouchehr Takin has fifty years of industry experience following his university studies in geology and Geophysics. He has worked as geologist, geophysicist, reservoir engineer and exploration manager for international and national oil companies, followed by a career in the international oil market research and analysis with OPEC (Vienna) and the Centre for Global Energy Studies (London) and as an Independent Consultant since 2014. He often speaks in conferences and appears in the media.
AFTER DINNER: 7.15 pm - 8.45pm:
7.15 pm – 8.45 pm, Finding a Needle in an Ocean of Data with Deep Learning and Digital Twins. Arun Subramaniyan, Vice President, Data Science & Analytics, GE Oil & Gas Digital.
The power of analytics to transform industries has been touted for over a decade. However, real transformational examples in industrial applications are few and far between. Meanwhile, the consumer technology companies have embraced the data-driven culture and have successfully disrupted several long-standing industries such as music/video distribution (Apple/Netflix), hotels (AirBnB), taxis (Uber), etc. and created net new value in the process. Bringing a similar expansion of the overall market through disruption in the industrial segment requires more barriers to be broken. This is mainly because, compared to consumer and traditional ERP systems, Oil & Gas industrial data is 10-100X more voluminous, is collected at 100-1000X more frequently and is 5-10X more diverse.
These are significant challenges for even the most advanced data-driven companies today. The added organizational inertia and a dearth of talent that understands both the data science and O&G specific technology makes this a very challenging problem.
We present deep learning combined with Digital Twins as a unique solution to this problem. Deep learning techniques have the potential to enable a step change in modeling efficiency for industrial systems along with Digital Twins. By increasing efficiency and accuracy of diagnostics, and extracting meaning from large amounts of industrial data, deep learning provides a pathway to truly differentiated outcomes. In this talk, we will discuss our experience building deep learning models for Oil & Gas applications and the systems for managing the life cycle of the models in production. We will present novel applications of deep learning and Digital Twins for anomaly detection, rock formation identification and optimization. The hybrid modeling framework combining physics-based models with deep learning techniques will be highlighted with specific application in production optimization.