Press Release

NOV and Seismos announce strategic partnership for the global distribution of real-time friction analysis technology

June 11, 2024

Seismos and NOV have announced a strategic partnership to distribute Seismos Acoustic Friction Analysis (SAFA™) globally through the Max Completions™ data platform. This multi-year collaboration advances the industry’s ability to monitor and optimize hydraulic fracturing performance in real time and builds on the industry’s shared vision of a digital oilfield.

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Seismos’ patented technology requires only a surface sensor to output real-time perforation efficiency, uniformity index, and overall flow distribution data without the need for downhole tools. NOV’s Max Completions aligns disparate data sources into a single contextualized data stream for real-time access, analytics, and reporting, improving operational efficiency and financial performance.


Max Completions seamlessly integrates Seismos’ real-time friction analysis technology with NOV’s digital and hardware solutions to continuously monitor pressure data during stimulation. This combination provides operators with critical insights otherwise obtained through costly downhole tools, such as fiber optics.


We are excited to have Seismos as a Max Partner and provide our customers with immediate access to crucial subsurface and surface metrics. Leveraging contextual, real-time, and calculated data enables them to make well-informed optimization decisions during the stage - Travis Thomas, Vice President, Digital Completions (CTES), NOV

"We are excited to join forces with NOV and make the Seismos real-time friction analysis technology

accessible to the global markets,” said Steven Bourgoyne, Director of Operations at Seismos. “This

partnership addresses the challenge of data aggregation, enabling edge processing and real-time subsurface intelligence for our customers around the world. Together, we provide a scalable, cost-effective solution that enhances decision-making, reduces operational costs, and boosts production efficiency across all assets.”

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