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Productos, soluciones y servicios empresariales
Elastic computing resource expansion and one cloud with multiple pools help increase oil and gas reserves and production.
Providing a secure and efficient computing power supply for oilfield companies that supports E&P reserve increase and production.
Facing the increasingly diverse oil and gas E&P research and the challenges of continuous and refined data processing and interpretation services, Huawei's E&P computing center solution uses Huawei Cloud's high-performance computing to create a unified storage and computing network. It provides a safe and efficient computing power supply for oilfields, boosting E&P operational efficiency and technological performance.
Benefits
Resource pool sharing
One cloud with multiple pools, resource pool-based collaborative management, on-demand resource usage, and service continuity assurance.
Resource leasing instead of construction
Computing centers are leased instead of constructed. Computing resources can be quickly expanded on demand to roll out services quickly.
Platform computing efficiency improvement
Powerful computing pools handle continuous large-scale data processing and interpretation across multiple work areas efficiently. They boost seismic processing speed eightfold, reducing the time taken from 456 hours to just 55.
Architecture
A high-performance computing cloud center for oil and gas fields using the solution offers standardized equipment rooms, hardware resources, cloud platforms, cluster scheduling, a unified operational professional software platform, and AI applications. Through centralized construction and operations, oil and gas field customers can access services via a leasing model quickly and easily, utilize resources on demand, and deploy services rapidly thanks to the elastic scaling of computing resources. The cloud platform centrally manages professional software and data, facilitating collaborative data utilization and sharing across exploration, production, and other departments, thereby enhancing operational efficiency.
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