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SPE-230647-MS :

Employing Live Subsurface Measurements to Support Supervised and Autonomous Intelligent Decision-Making While Fracturing




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abstract

This paper presents a new workflow for utilizing live surface measurements of perforation friction, efficiency, and Uniformity Index to enhance decision-making during fracture stages. By reallocating frac fluid and proppant from poorly performing stages with runaway fractures to those with a high Uniformity Index, a better fracture network can be achieved for improved production.

High-frequency transducers capture rapid rate changes during treatments, using acoustic friction analysis to differentiate pipe and perforation friction.

Key metrics are displayed on a live dashboard for real-time decision support. A data acquisition system collects pumping streams and analyzes friction continuously. A decision tree guides actions based on current UI; if it drops below a threshold, remaining volumes are redistributed. This approach improves on previous methods by leveraging acoustic analysis for a deeper understanding of subsurface conditions, marking a shift towards real-time decision-making in fracturing operations.

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