Oil and gas operators continue to seek better ways to unlock value from operational data and drive consistent, predictable performance while mitigating risk on wells.  

This paper presentation describes the development of a wellsite edge computing solution. It was used to connect and orchestrate the well-activity plan with wellsite advisory systems, provide unified instructions for drilling automation systems, improve the human-to-system interface, and connect cloud-based data lakes to real-time wellsite operations. The system leverages open technologies and frameworks to expand options and provide a low-barrier entry point to automation for all vendors.  

This platform aggregates high-frequency, low-latency, real-time data with well-planning information and hybrid data-driven models to provide closed-loop control and context-based decision making, interoperating with surface and subsurface drilling automation systems. 

This presentation is from the 2022 IADC/SPE International Drilling Conference and Exhibition.   

• Paper Number: SPE-208686-MS  
• Published: 1 March 2022  
• Authors: Arnfinn Grøtte; Julien Marck; Mahdi Parak; Moray Laing; Oddbjørn Kvammen 

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