Project Tests High-Performance Cloud Computing for Reservoir Simulations

Topics: Reservoir simulation
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In the upstream oil and gas industry, cloud computing is very immature because the industry has always been challenged by storage and computational capability. However, there is recent evidence for considering high-performance cloud computing (HPCC) because of the promise of benefits such as flexibility, accessibility, and cost reduction. HPCC may create an opportunity for small to midsized upstream companies that do not want to invest in the infrastructure needed for evaluating scientific applications.

Project Overview

The target of this project was to prove the concept of running simulation software in a high-performance computing cloud and use the findings to design a framework or methodology enabling companies to pursue business opportunities iteratively while learning along the way. The outcome of the methodology is a dynamic tactical and strategic roadmap that leverages trends in HPCC.

This article, written by Special Publications Editor Adam Wilson, contains highlights of paper SPE 167877, “Reservoir Simulations in a High-Performance Cloud-Computing Environment,” by Morgan Edward Eldred, Asma Aboubakr, Ahmed Abubakr Al-Emadi, Thomas James O’Reilly, Nedal Barghouti, and Abdollah Orangi, Maersk Oil, prepared for the 2014 SPE Intelligent Energy Conference and Exhibition, Utrecht, The Netherlands, 1–3 April. The paper has not been peer reviewed.
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Project Tests High-Performance Cloud Computing for Reservoir Simulations

01 July 2016

Volume: 68 | Issue: 7