**Houston**: Nabors Industries and Corva have extended their collaboration on the RigCLOUD platform, aiming to leverage AI-driven analytics and cloud computing to enhance drilling efficiencies and improve decision-making for E&P customers and contractors in the energy sector.
Nabors Industries and Corva have announced an extension of their collaboration, focusing on the RigCLOUD platform to enhance drilling intelligence and broaden their impact within the industry. This development marks a significant step in integrating advanced technologies to improve operational efficiencies in drilling operations.
RigCLOUD is described as a fully integrated drilling intelligence solution that combines the expertise of Nabors’ cloud computing platform with Corva’s AI-driven analytics capabilities. This integration aims to bolster Nabors’ operational reach across various data residency jurisdictions and facilitate entry into new markets by providing improved services to both exploration and production (E&P) customers and third-party drilling contractors.
According to Nabors, the RigCLOUD platform will significantly enhance real-time data processing, facilitating predictive insights and performance optimisation. This refinement is anticipated to empower both operators and contractors by enabling them to make better-informed decisions and maximise efficiency in their operations. Importantly, the integration will deliver actionable insights directly to drilling crews on the rigsite through the Corva applications, ensuring that data-driven guidance is available in timely manner, provided that bandwidth allows for it.
The collaboration highlights a trend within the energy sector, where digital transformation is gaining momentum through the convergence of cloud technology and artificial intelligence to optimise drilling practices. As the industry continues to evolve, partnerships such as that between Nabors and Corva could play a crucial role in shaping future drilling operations.
Source: Noah Wire Services
Subscribe to Industry Updates
