[Maryland, 05/09/2023] - Azule Energy, Angola’s largest independent energy producer, has awarded Stone Ridge Technology (SRT), a leading innovator in high-performance GPU computing and originator of the ECHELON software for reservoir simulation, a contract in which ECHELON has been chosen by Azule Energy to serve as its corporate standard.
This contract will allow SRT to provide Azule Energy with unlimited access to the industry’s highest-performing industrial reservoir simulator powered by graphics processing units (GPUs).
Reservoir simulation is key to understanding the underground flow of petroleum fluids. One of the most remarkable features of ECHELON is the ease with which it simulates models that are comprised of multiple reservoirs coupled by a surface network, without compromising performance. This technology will provide Azule Energy with unparalleled insights into their complex, deep offshore reservoirs facilitating informed decisions that maximize recovery and streamline asset management, thus reducing environmental footprint.
Leonardo Patacchini, SRT’s Regional Director EMEA has noted “Enterprise-wide deployment of ECHELON fits particularly well with Azule Energy's digital transformation path, allowing its engineers to leverage the virtually unlimited GPU-computing power available in the cloud.”
For Azule Energy Reservoir Manager, Pedro Sebastiao, “It is very exciting to use ECHELON, one of the fastest reservoir simulation software in the world. This will allow the team to be more agile, improve efficiency and make faster decisions related to reservoir performance predictions and optimization that ultimately results in value creation for Azule Energy and its stakeholders.”
About Stone Ridge Technology
Stone Ridge Technology develops and markets ECHELON, the industry’s fastest commercial reservoir simulator built and optimized from inception for GPUs and massive fine-grained parallelism. A U.S. company based in Maryland, SRT has deep expertise in computational science, parallel programming, and high-performance computing.