SPE and EAGE joint workshop: Synergy of Static and Dynamic Modeling

Wednesday, 05 February 2014 Read 3262 times
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March 18-19, 2014. Aerostar Hotel, Petrovsky Conference Hall. Leningradsky Prospect, 37, build.9, Moscow, Russia. Registration Deadline: March 1, 2014

Society of Petroleum Engineers (SPE) and
European Association of Geoscientists and Engineers (EAGE)

Jointly conducting the Workshop

“Synergy of Static and Dynamic Modeling”

March 18-19, 2014

“Aerostar” Hotel, “Petrovsky” Conference Hall
Leningradsky Prospect, 37, build.9, Moscow, Russia, www.aerostar.ru

Training course “Geomodeling and Reservoir Simulation Challenges”

by Total company experts
In conjunction with workshop
March 20, 2014

Registration Deadline: March 1, 2014

Detailed information: spe_eage_modeling_2014_en.pdf (570 Кб)
Registration form: spe_eage_modeling_reg_form_2014_en.xlsx (25 Кб)

Workshop Description

SPE/EAGE are jointly conducting the Workshop on this topic third time since 2010.
Modeling of oil and gas fields plays a key role in reservoir description and in the understanding of the fluid flow in the reservoir. Nowadays, the hydrocarbon reserve estimation and development planning are carried out by constructing static and dynamic models. The modeling process includes several stages: geophysics, geology, petrophysics and reservoir engineering. Traditionally, each stage is performed sequentially with a linear knowledge transform between the various stages. This conveyor belt-like approach sometimes exhibits problems such as inconsistencies in the objectives, loose feedback loops, upscaling and ignoring of different modeling resolutions. This can result in inconsistent static and dynamic models that eventually affect the data credibility and, most importantly, the predictability of the model. Thus, the oil and gas industry needs to further improve integrating modeling processes by improving the process and selecting the appropriate strategy, as well as modifying the organizations involved and implementing the right approach to training.

Workshop Objectives and Deliverables

  • Corporate Modeling Strategies: Views and Ideas
  • Review of Existing Modeling Process and Maximization Approaches
  • Modeling Synergy of Improved Organization, Training and Technologies: Views and Ideas
  • Reservoir Modeling Overview and Model Appraisal: OIP Estimation and Field Development
  • Recent Developments in Static and Dynamic Modeling
  • Results presentation of the most interesting projects

Who Should Attend

The workshop is a limited attendance meeting for up to 100 people. It is designed for professionals in the oil and gas industry who are involved in development of static and dynamic models as well as application of modeling results.

This workshop should be of particular interest to the following specialists:

  • Logging Engineers
  • Geologists
  • Petrophysists
  • Reservoir Modeling Engineers
  • Reservoir Engineers
  • Field Development Planning Specialists

PROGRAM COMMITTEE CHAIRS
Mars Khasanov (Gazpromneft NTC)
Thomas Graf (Schlumberger)
Vitaly Baikov (UfaNIPIneft)
………………………………

PROGRAM COMMITTEE MEMBERS
Mariya Belyanushkina (ModelTech)
Yakov Volokitin (Salym Petroleum Development)
Ignatiy Volnov (Lukoil-Overseas)
Andrey Gladkov (ModelTech)
Vitaly Krasnov (Rosneft)
Maxim Komin (Schlumberger)
Emmanuel Penna (Total)
Gennady Sarkisov (Roxar)
Michail Tokarev (Lomonosov MSU)
Oleg Ushmaev (Gazpromneft NTC)
Alexander Shandrygin (Gazprombank Neftegazservice)
Dmitry Eydinov (Rock Flow Dynamics)

The Committee is offering for the Workshop Programme the following technical sessions and topics for group discussions:

  1. Workflows Integration: geology, geophysics, geomechanics, microseismic, petrophysics, development, drilling;
  2. Gas and gas-condensate reservoirs integration: complex geology– drilling – production – production optimization – reservoir management – network;
  3. Oil reservoirs integration: geology– drilling – production – production optimization – reservoir management – network;
  4. Arctic oil and gas: exploration – FDP – production forecast – risk analysis;
  5. Train the integrators on their non-core disciplines to allow understanding and communication.

Detailed information: spe_eage_modeling_2014_en.pdf (570 Кб)
Registration form: spe_eage_modeling_reg_form_2014_en.xlsx (25 Кб)

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