Workshop: «New Solutions in the Oil and Gas Reservoir Simulation – Time of the Artificial Intelligence Systems»

The Center for Hydrocarbon Recovery of the Skolkovo Institute of Science and Technology together with the Moscow Research Center of Schlumberger invite all interested professionals and students to the workshop: «New Solutions in the Oil and Gas Reservoir Simulation – Time of the Artificial Intelligence Systems»

to discuss the following ideas

  • The main goals of geological and hydrodynamic modeling primarily relate to the reserves estimation, reservoir development planning, increased and enhanced oil recovery techniques implementation, risk and decision made effectiveness assessment which can be achieved using the Artificial Intelligence Systems (AIS) based on the set of (ideally all) well-known mathematical models: deterministic, stochastic, intuitive, adaptive, etc.;
  • The amount of initial information in the oil and gas industry is increasing significantly, both because of the accumulation of historical data, and applying the smart equipment generating in real time terabytes of new data about wells and pipeline systems («Big Data»);
  • Creating databases for the geological and hydrodynamic models of oil and gas reservoirs according to the regulation policy, it is the original and important element in creating of AIS;
  • Strengths of the deterministic models which are the mathematical basis of the modern reservoir simulation software are the physically and mathematically justified solutions. It is necessary to further develop the deterministic models with the help of their physical content approximation to the reality and the improvement of their productivity through advanced computational tools. Weaknesses of the deterministic models are the lack of the consideration of accuracy and incompleteness of the initial information;
  • The non-deterministic models (stochastic, intuitive, adaptive, phenomenological, self-organizing dynamic, proxy, or black box models using in varying degrees the neural, Bayesian, Markov and fuzzy logic networks) can assimilate in principle all types of the initial information including a secondary one obtained by self-studying. Creating and validation of such type of models for the reservoir simulation is a vital task;
  • AIS should include both the deterministic models and the non-deterministic ones. The advantages of the non-deterministic models are the fact that they are formed on the basis of the integrated analysis of all available information in databases and can be adapted to these databases as a result of self-studying.


Date, time and venue of the workshop:

  • October 30, 2015 (Friday), from 12-00 to 16-00
  • Skolkovo Innovation Center, Skolkovo Institute of Science and Technology, Nobel str. 3, room 403


Agenda
оf the workshop:

Dima Workshop
Contact person for the registration of the workshop participants:

Dmitry Tyagusov – , (495) 280-14-81 (ext. 3225)

Tweet about this on Twitter0Share on Facebook0Pin on Pinterest0Share on Tumblr0Share on VK