Agenda Posted: EAGE Workshop HPC for Upstream in Latin America

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EAGE has posted the agenda for their first-ever EAGE Workshop HPC for Upstream in Latin America. The event takes place Sept. 21-22 in Santander, Colombia.

High Performance Computing has been one of the most important platforms to support decision making in the Oil & Gas industry. As a leading technical and scientific society, EAGE regularly promotes discussions around the HPC topic. For the first time, EAGE brings this important event to Latin America with the objective to learn and contribute with the local professional community. Talented people, data, and computational power are key components in the Digital Transformation process of O&G companies to deliver real value for their business. The cooperation with technical companies and research centers enables innovation, improves safety, increases productivity, mitigates risk and reduces costs.

In the last decade, we witnessed great improvements in traditional HPC for simulation methods like Reverse Time Migration (RTM), Full Waveform Inversion (FWI), Electromagnetic Modeling (EM), and Reservoir Simulation. Although we still have a huge and increasing gap between the demand for computational power and what the current technology can offer. Indeed, more data is collected, sensors are getting cheaper, the sampling rate increases, more dimensions and quantities are measured, model resolutions is getting finer, equations are getting more complex with higher order terms, only to name a few. All these factors contribute to an exponential growth for computational power. Additionally, the recent advances in Artificial Intelligence (AI), especially in Machine and Deep Learning (ML/DL), rapidly made it to become one of the most computationally intensive application and part of the core business in tech giant companies.

Unlike any time in history, we are witnessing a rush to improve speed of computation for huge amounts of data. The main objectives of this workshop are to reinforce the best HPC practices, tools, and techniques in computing architecture, system level, algorithm design, application development, and people training; discuss the harder impediments for the adoption and the growth of HPC solutions in the O&G industry; and point the trends, and opportunities for the near future.

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