Real-Time Completion Logic from Same-Well Measurements

Treating pressure is the primary signal monitored during fracturing, but it is a convoluted response of pipe and perforation friction that obscures true downhole cluster behavior.  

• SAFA addresses this by using high-frequency surface pressure data to separate these friction types in real time, calculating metrics such as perforation efficiency, Uniformity Index (UI), and perforation diameter.  
• These live diagnostics are connected to a configurable decision tree, allowing operators to execute repeatable, data-driven interventions during pumping.  
• Key operational adjustments enabled by SAFA include tuning flow velocity to maximize cluster contribution, adapting proppant ramps when efficiency declines, and utilizing volume-neutral workflows to redeploy slurry to higher-performing stages.  
• By relying on real-time, same-well measurements rather than assumed models, SAFA establishes a control framework for supervised and unsupervised closed-loop fracturing at scale.

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