Reported impact
Business outcome
Petoro improved well location targeting, explored a much wider range of geological development scenarios, and accelerated well placement decisions for mature Norwegian fields.
- Productivity Improvement
- Speed to Market
Petoro needed to improve mature-field development and well placement decisions on the Norwegian Continental Shelf while dealing with more than 1,000 sidetrack opportunities per field, low-quality data, and no unified collaboration workflow between drilling and reservoir engineering teams.
Reported impact
Petoro improved well location targeting, explored a much wider range of geological development scenarios, and accelerated well placement decisions for mature Norwegian fields.
Petoro used AI embedded in digital solutions from SLB to speed mature-field development and optimize well placement. The source describes an implementation centered on bringing mature-field opportunity data and reservoir context into a shared digital workflow, where AI and analytics evaluate very large sets of sidetrack options that had previously been handled manually. Within that environment, the solution generates probabilistic well rankings to highlight low-performing wells, creates probability maps to improve understanding of overall reservoir performance, and applies analytics-based optimization to target large, connected, highly saturated oil volumes. Reservoir engineers can then generate hundreds more geological scenario realizations in far less time, while drilling and reservoir teams work from a more unified decision process. The source does not name a separate storage product, but it clearly positions SLB’s digital solution layer as the system where data extraction, scenario generation, optimization, and decision support are operationalized.
Mature-field opportunity and reservoir data are brought into SLB digital solutions, where AI and analytics process large sets of sidetrack candidates, generate probabilistic well rankings and probability maps, and feed optimized well-location recommendations to reservoir engineering and drilling teams for field-development decisions.
"AI delivered improvements in well location targets for Petoro using probabilistic well ranking to identify low performing wells, probability maps to understand overall reservoir performance, and analytics-based optimization steps which targeted large connected and high saturated oil volumes."
"AI guides us to the best new well location every time."
"Reservoir engineers are generating hundreds more realizations of geological scenarios to explore a far wider spread of possibilities for field development in a fraction of the time this work previously took."
"The innovative workflow aims at enhancing the selection of sidetrack wells opportunities in mature fields by overcoming various challenges, including manually managing a vast volume of over 1,000 sidetrack opportunities per field, grappling with low-quality data, and the absence of a unified collaboration platform between drilling and reservoir engineering domains."
"Using AI embedded in digital solutions from SLB, Petoro reduced mature field development production optimization and vastly accelerated its well placement strategy."
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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