INTEGRATED FIELD MANAGEMENT
26-27 MARCH 2019
MOSCOW, HOLIDAY INN SOKOLNIKI
Petroleum industry faces a range of complicated challenges, the main are resources depletion and its' difficulty to access, which lead to oil and gas projects investment risks growth and force us to look for new methods to increase efficiency.
One of key to the solution is development of integrated field management, when hydrocarbons' extraction is considered as a single chain: from geology through development, production and construction to economic optimization.
To achieve this we need not only to create multidisciplinary teams, but also we need to develop software solutions and digital models of oil and gas production chain, all optimal technological decisions in field management are built on. Such approach allows us to see the project in a comprehensive way, to assess the parameters correlation to a high precision, to take into account the interaction between the processes in reservoir, wells and ground infrastructure.
Digital integrated field management is at the initial stage of the largescale implementation – so number of questions we have is way more than number of answers. What effect do we expect from integrated management? When do we need to use it and when we do not? Positive and negative case studies? Should operating companies implement it by themselves or invite experienced contractors? We will discuss these topics and many other aspects.
The workshop will cover two main areas - integrated field management for greenfields and integrated field management for brownfields. Despite the common approaches, goals and objectives of field management at different stages of the field's life are quite different. It is important not to make strategic mistakes for greenfields, as the effect of integrated management can significantly affect all indicators for years to come. Range of possible solutions for brownfields is known already, and we have accumulated a large amount of information, which is to be applied in a most effective way.
1. Integrated field management for greenfields
A significant part of the new assets has complex geological structure; these assets are underinvestigated and hardly accessible, for this reason selection of optimal development system and strategy for field development is very difficult technological challenge. It is necessary to use integrated approach even at the early stages of field development planning. It assume development of integrated concept to consider any possible project limitations for surface infrastructure development, drilling, production, logistics, etc.
During this session, delegates will discuss key topics and problems of integrated management for greenfields bringing into development. We will consider integrated projects using new technologies, which allows multiplying economic attractiveness of oil and gas projects. Presentations and discussions will touch upon the latest industry achievements from increasing oil recovery to automated unmanned mode and Industry 4.0 achievements.
2. Integrated management: Brownfields
Optimization options for brownfields are limited but they still have a huge potential for integrated management implementation. It refers to the conceptual design and field reengineering primarily. Integrated models help in new technologies search and implementation to maximize existing assets infrastructure efficiency.
Priority topics for this session:
• Integrated modeling
• Decision-making based on integrated modeling
• Integrated planning
• Management based on potential
• Reengineering and Automation of working processes
• Equipment Reliability Management
3. Looking into the future: Artificial Intelligence in Oil and Gas Production
This session includes analysis of possible implementation of artificial intelligence methods and Industry 4.0 technologies for field management, using advanced data analysis tools. Presentation at the session should include case studies of using, testing and development of technologies, which can help in decision-making and process automation.
We will cover:
• Predictive analytics and machine learning
• Modern methods of mathematical optimization
• Recommendation systems
• Robotics with artificial intelligence control
• Automatic planning and dispatching systems
• New component production methods (additive production and 3D printing)