Webinar: Advanced Parallelization Techniques to Optimize & Boost Simulator & Hardware Performance
The presentation discusses several advanced parallel processing techniques and innovative hardware and software architectures that you can apply to boost the performance of both the simulator and computer.
In recent years, reservoirs and recovery methods have increased in complexity and model size, resulting in an increase in simulation computational time. As more company projects integrate reservoir simulation in the decision making process, there is a heavier burden on IT infrastructure which can lead to simulation backlog. As a result, companies often find themselves juggling simulation jobs in order to make decisions on their numerous projects, which inevitably decreases efficiency.
Through significant developments and improvements to multi-core processing technology over the past several years, parallel processing technology solves these challenges, and is rapidly becoming the preferred way to run reservoir simulations. By using multiple processors simultaneously, simulation run-times are much faster and software and hardware usage is optimized, leading to shorter project turnaround time.
The presentation discussed several advanced parallel processing techniques and innovative hardware and software architectures that can be applied to boost the performance of both the simulator and computer. The following main points were covered:
- Advantages and applicability of this technology to reservoir simulation models
- CMG's parallel processing technology and the associated keywords
- Techniques to effectively utilize all available cores with optimized load balancing
- Case studies showcasing simulator performance speed-up using parallel partitioning
- CMG hardware and operating system recommendations
Hossein Nourozieh is currently working for Computer Modelling Group Ltd. as a Senior Reservoir Simulation Engineer. He has 10 years of experience in the petroleum industry as a reservoir and petroleum engineer, and has extensive experience in conducting reservoir simulation of various recovery processes. Hossein’s particular expertise is in phase-behavior modelling, heavy oil recovery processes, designing high-tech lab apparatuses, and conducting core-flood and PVT tests. He holds a PhD degree in Petroleum Engineering from the University of Calgary; a MEng degree in Petroleum Engineering from the University of Calgary; and both MSc and BSc degrees in Reservoir Engineering from the Petroleum University of Technology (PUT), Iran. He has authored or coauthored more than 60 journal publications and annual industry progress reports. He is also an active member of peer-review panels and advisory committee for different petroleum consortiums and/or companies.