Abstract The objective of the operator is to enhance drilling performance and efficiency by implementing a new technology to achieve consistent Rate of Penetration (ROP). The goal is to consistently drill one mile within the first 24 hours of drilling. Multiple approaches have been tried in the past but achieving consistency was a challenging task, in this case the operator embedding new approaches by utilizing Artificial Intelligence (AI) to achieve consistency in drilling operation. This new approach brings the AI to the rig-site and is tasked to advise driller achieving consistent ROP within safe operation window. This technology incorporated Edge computing technology and human interaction through Human Machine Interface (HMI) to enable driller-AI interaction. Respective formation, rig and tools limitations for drilling operational safety, parameter constraints are set prior drilling each well. Real-time drilling data is aggregated and ingested by the AI at the Edge considering all the prior information and constraints to recommended drilling parameters while honoring operational safety. The continuous feedback loop audits the optimization, providing consistent output for optimized drilling parameters. Deploying AI Edge advisory is expected to significantly enhance drilling efficiency and safety. The system's AI-driven insights optimize the rate of penetration (ROP) and mitigate risks such as Shock & Vibration (S&V), Stick slip (S&S), and dysfunctional mitigation, leading to smoother operations and reduced downtime. System deployment will improve and accelerate decision-making due to high-quality visualizations and real-time data analysis, which help drillers respond promptly to changing conditions. Integration of system with existing rig hardware ensures minimal disruption to existing rig set-up, establishing smooth transition of working environment for the rig crew. Additionally, training and workshops help teams overcome apprehensions about digital enhancement, fostering a positive attitude and smoother adoption of drilling practices for the future. In conclusion, the deployment of AI at the Edge, deployed at rig-site, results in more efficient, safer, and cost-effective drilling operations. The system's adaptability to real-time conditions and its ability to provide actionable insights ensure consistent performance improvements. This leads to a more competent and confident drilling team, ultimately driving better operational outcomes and higher productivity This technology uses proprietary AI with the Detourney model, deployed and performed at the Edge for seamless adoption. It dynamically reacts to real-time drilling conditions, optimizing processes based on downhole observations. The smart AI Planner autonomously navigates workflows via a real-time feed. It embeds hazard identification such as high torque, stick slip, shock vibration and also provides advisory to mitigate risks when detected, then continues normal drilling once risks are mitigated.
Andoni et al. (Mon,) studied this question.
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