Coiled Tubing Drilling Automation With Real-Time Parameter Feedback
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Solution Overview
Problem
Existing coiled tubing drilling operations rely heavily on human interpretation of data, lacking automation and adaptive control, which can lead to inefficiencies and suboptimal performance.
Innovation Solution
Implementing a computer-implemented method that uses sensors to detect operating parameters and automatically adjust drilling operations, including auto-geosteering to reach target formations, utilizing a surface processing system to analyze downhole and surface data in real-time for automated control of coiled tubing drilling systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operator interpretation and adjustment of drilling parameters is used, then operational flexibility and adaptability are maintained, but drilling efficiency and productivity are reduced due to delayed responses and human limitations
Solution Approach 1:
The drilling system automatically monitors operating parameters through sensors and adjusts drilling conditions without continuous human intervention. The system serves itself by detecting anomalies and making real-time parameter modifications, eliminating the need for constant manual oversight while maintaining optimal drilling performance.
Solution Approach 2:
The system implements closed-loop feedback by continuously detecting drilling parameters through sensors, comparing them against optimal ranges, and automatically adjusting operating conditions. This real-time feedback mechanism enables the system to respond immediately to changing downhole conditions, maximizing drilling efficiency while reducing manual intervention.
2Measurement precision
If real-time automated detection and adjustment of drilling parameters is implemented, then drilling precision and target formation accuracy are improved, but system complexity and initial costs increase
Solution Approach 1:
The system replaces manual mechanical adjustment processes with automated electronic detection and control mechanisms. Sensors electronically monitor drilling parameters and automatically adjust operating conditions, substituting human-operated mechanical systems with automated electro-mechanical systems that provide superior precision and consistency in reaching target formations.
Solution Approach 2:
The automated system integrates multiple functions into a unified platform: parameter detection, data processing, decision-making, and execution of adjustments. This multi-functional integration reduces the need for separate specialized equipment and operators for each task, managing system complexity through consolidation while maintaining high measurement precision.
3Loss of energy
If continuous monitoring and automatic adjustment of drilling operations is performed, then operational costs are reduced through optimized parameters and fewer interventions, but energy consumption and system operational complexity increase
Solution Approach 1:
The system applies partial automation selectively to critical drilling parameters that have the greatest impact on operational efficiency and costs. Rather than automating every aspect of drilling operations, the system focuses monitoring and adjustment efforts on key parameters such as weight on bit, rotation speed, and drilling fluid flow rate, achieving significant cost savings while minimizing additional energy consumption.
Data Source
AI summary
Systems and methods presented herein facilitate automation of coiled tubing drilling (CTD) operations. For example, a computer-implemented method includes performing a drilling operation via a CTD system; detecting data relating to one or more operating parameters of the drilling operation via one or more sensors of the CTD system during the drilling operation; and automatically adjusting at least one adjustable operating parameter of the drilling operation based on the detected data during the drilling operation.


