Multi-disciplinary Static and Dynamic Reservoir Modeling (SEG/SPE/AAPG/SPWLA/EAGE SRW 2014)
 View official program | |
| Date | 3-8 August 2014 |
|---|---|
| Host | SEG/SPE/AAPG/SPWLA/EAGE |
| Sponsor(s) | ConocoPhilips, Maersk Oil, Hess, Dynamic Graphics, Inc., Beicip, Inc., Schlumberger |
| Location | San Diego, CA USA |
Multi-disciplinary Static and Dynamic Reservoir Modeling: Best Practices, Opportunities and Challenges
Achieving effective and efficient Integrated Reservoir Modeling (IRM) workflows and processes is a key goal for oil and gas companies. However, despite the fact that IRM process is a well-defined objective, it continues to be very challenging and hard to achieve primarily due to its non-uniqueness. The IRM process involves multi-disciplinary data gathering and integration, appropriate software/workflows to enable domain-experts communication and collaboration, adequate project timing and cost allocation, and most importantly, a consistent and systematic industry-wide strategy.
This workshop focused on the IRM's best practices used for building multi-disciplinary static and dynamic reservoir simulation models for both conventional and unconventional reservoirs. In the IRM process, a wide range of subsurface data types are involved, in addition to the associated uncertainties, workflows and ideas that feed into it. This includes core subsurface disciplines such as geology, geophysics, petrophysics, reservoir engineering, computational sciences, as well as their related subjects: seismic interpretation, sequence stratigraphy, sedimentology, rock physics, seismic inversion, time-lapse seismic, geomechanics, geomodelling, history matching and production forecasting.
Over the last several years, these core disciplines have made significant advances beneficial to IRM, which have led to revolutionizing the model building process, and hence sharpening our predictive power. At the same time, the biggest enabler to the "Integrated" Reservoir Modeling (IRM) process is the increased and more efficient cross-discipline collaboration and integration, allowing a shared use of all available subsurface or outcrop analogue data. Such integration is crucial in developing reliable and streamlined methods and workflows to help the industry make informed business decisions related to development options, ultimate recovery, and enhanced project economics.
This workshop focused on the industry's experience with the IRM process, its future potential, as well as impact, and the value it brings to the business: What works, what could be done better, and how to maximize business impact. The workshop offered a grass roots approach to this complex problem leading to future discipline-specific debates as a follow up. Delegates left the workshop familiar with the IRM process, the value it brings to the business, and the potential challenges and opportunities ahead.
Sponsors
ConocoPhilips
Maersk Oil
Hess
Dynamic Graphics, Inc.
Beicip, Inc.
Schlumberger
Organizing Committee
Kurang Jvalant Mehta, Shell
Mosab Nasser, Maersk Oil
Ali Tura, ConocoPhillips
Mike King, Texas A&M University
Matthew Bennett, Chevron
Claude Scheepens, ConocoPhillips
Marko Maucec, Landmark
Daniela Justiniano, Exxon
Jorge Sanchez-Ramirez, BHP Billiton
Mark Kittridge, Hess
Alfonso Junio Marini, eni
Ron Dusterhoft, Halliburton
Jerry Youngblood, Devon
Sponsored through the SEG Research Committee
Workshop Venue
The venue for the SEG/SPE/AAPG/SPWLA/EAGE Summer Research Workshop, meals and guest rooms was the Hilton San Diego Resort and Spa in San Diego, California.
Workshop Schedule
External links
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