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Looking for Better Velocity Models?

Friday, February 5, 2016

Acceleware has developed AxFWI - a revolutionary modular FWI application which provides the highest level of subsurface velocity model accuracy and leads the industry in compute speed.

Engineered for maximum performance, AxFWI is optimized for modern high performance computing platforms including NVIDIA GPUs, multi-core CPUs, and Intel Xeon Phi Coprocessors. With Acceleware AxFWI, companies can now generate better velocity models themselves. This is going to be an exciting year for new developments and projects, including case studies and new releases!

Acceleware has written the poster FWI: A Modular Approach for Rapid Research Using and Optimized Code Base. This poster focuses on the increasingly popular seismic exploration technique with a case study that demonstrates how geoscientists can easily combine their research codes written in a high level programming language with optimized kernels for the computationally expensive portions of FWI.

Acceleware will be attending GEO2016 March 7-10, and will be located in the North American Pavilion at booth #1140. We will be providing information on seismic exploration and high performance computing, including AxFWI, our commercially ready modular platform.

Be sure to check out the talk "Full-Waveform Inversion Using CRS-Enhanced Pre-Stack Shot Gather", a study presented by Dr. Yilong Qin on Wednesday, March 9th. This study will demonstrate that the application of the CRS stack prior to FWI may lead to improved FWI results, in terms of cleaner inversion results, better wave extraction, and fast convergence rate. Keep an eye on our events page for the published abstract!

Key benefits of the AxFWI platform include:

• Higher level of accuracy in velocity models beyond traditional methods
• Improves imaging of the subsurface
• Reduces cycle time - runs tests quickly by leveraging hardware advantages
• Flexible implementation and integration - AxFWI is commercially available - we can also provide the ability to customize the propagators and modules to fit processes and meet specific exploration requirements



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