PGN Saka: Fast tracking workover candidate selection | SLB
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PGN Saka: Fast tracking workover candidate selection

Selection time for workover candidate reduced by 89% for PGN Saka

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Indonesia
Summary

Using AI embedded in digital solutions from Schlumberger, PGN Saka automated its well workover and intervention programs to vastly accelerate the selection process. The automated system screens and ranks high-well-count assets in a fraction of the time to detect, diagnose and recommend the appropriate actions required to ensure that wells remain healthy, for an evergreen opportunity pipeline.

Image of a woman with text reading that ai reduced candidate selection process by 89%

Results

AI working for you

The data science profile in the Delfi digital platform enables customization of AI-powered well portfolio optimization systems by petrotechnical engineers.

AI working for you

"They performed full well optimization, workover and intervention across 196 completions weekly, compared to yearly on the previous manual review."

Excerpt from joint PGN Saka and SLB technical paper published in World Oil, June 2020
Products Used
OptiFlow
Production assurance solutions

Amplify operational efficiency through continuous surveillance, streamlined well-network flow, and optimized resources.

INNOVATION FACTORI
Accelerate AI adoption for the energy industry

The breadth and depth of Schlumberger domain and AI expertise is available to you through INNOVATION FACTORI.
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