When: September 7-10, 2014
Where: Chania, Crete
What: As global demand for hydrocarbon-based fuel continues to grow, particularly in Asia, and as Western economies recover, there is more pressure on oil companies to invest in new reserves, sweat the assets of mature fields and even revisit what were once considered to be exhausted wells.
Exploration techniques and technology advancement has seen data grow by more than ten times in the past two years and it is forecast to grow at the same rate over the next two years. The growth in data is putting a tremendous strain on existing IT infrastructures. A new paradigm in data storage, data access and visualization will thrust a new age of high-performance computing upon us all.
Seismic imaging techniques such as reverse time migration (RTM) and full waveform inversion (FWI), along with electromagnetic (EM) inversion techniques and the latest reservoir simulation technologies can only be successfully used with the most powerful HPC systems, and the hunger for more data and faster results will once again see a full-scale race for the best that HPC can offer.
This workshop presents the latest advancements and future developments of the key applications used in the upstream industry coupled with the HPC technologies required for this purpose.
Acceleware Workshop Presentation
Computational Trade-Offs of Higher Order in Time RTM
Presented by: Marcel Nauta, Acceleware Ltd.
Wed September 10 @ 2:30pm
This presentation examines the computational trade-offs of higher order in time for RTM. It compares the hardware trade-offs for running RTM with 2nd order accurate temporal derivatives and 4th order accurate temporal derivatives. The exact difference in computational complexity depends on the RTM implementation. The timestep using 4th order accuracy can be much longer for the same level of accuracy theoretically leading to an overall savings in computational resources. This analysis is true for the main propagation, however practical RTM is often limited by hard disk speed, available random access memory (RAM), or data transfers between compute nodes in a distributed system. In this presentation we will discuss these additional elements and how they impact performance.
Marcel joined Acceleware in 2012 to advance the company’s high performance seismic software for multi-core CPUs, NVIDIA GPUs and Intel Xeon Phi architecture. His areas of expertise include analysis and implementation of numerical algorithms for electromagnetic and seismic wave equations. Marcel has a published a number of technical papers on advanced finite-difference time-domain methods and was awarded the NSERC CGS-M for his Masters. He currently holds an AITF Industry Associates award for his research at Acceleware. Marcel has B. Sc. in Physics and M. Sc. in Electrical Engineering from the University of Calgary.