PGN Saka: Fast tracking workover candidate selection | SLB

PGN Saka: Fast tracking workover candidate selection

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Indonesia

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.

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

PGN Saka: Fast tracking workover candidate selection

"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
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