Digital Well Plan Feedback Control for Drilling Parameter Deviations
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Solution Overview
Problem
Existing drilling technologies lack real-time feedback mechanisms to adjust drilling parameters accurately, leading to deviations from planned trajectories and inefficiencies in accessing subsurface reservoirs.
Innovation Solution
A system and method that generates statistical distributions of actual drilling parameters in real-time, compares them with planned parameters, and issues control signals to correct deviations, using computational frameworks like DRILLPLAN, DRILLOPS, PETREL, TECHLOG, PETROMOD, ECLIPSE, and INTERSECT to optimize drilling operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time monitoring and adaptive control systems are implemented, then drilling precision and efficiency are improved, but device complexity and cost increase
Solution Approach 1:
The system continuously monitors actual drilling parameters (ROP, WOB, RPM, torque, vibration) and compares them against planned parameters in real-time. When deviations exceed thresholds, the system automatically generates control signals to adjust drilling operations, creating a closed-loop feedback mechanism that maintains precision without requiring overly complex manual intervention systems.
Solution Approach 2:
The drilling system performs self-monitoring and self-correction by automatically detecting parameter deviations and generating control signals to adjust operations. This autonomous capability reduces the need for complex external monitoring infrastructure while maintaining high drilling precision through automated adaptive control.
2Reliability
If real-time data processing and statistical distribution generation are performed, then drilling parameter control is improved, but computational requirements and processing time increase
Solution Approach 1:
The system processes drilling data in depth-based windows and generates statistical distributions (mean, standard deviation, percentiles) selectively for comparison against planned parameters. By processing data in manageable segments rather than continuously analyzing all historical data, the system achieves reliable parameter control with reduced computational energy requirements.
Solution Approach 2:
The drilling operation is divided into depth-based windows for independent analysis. Each window generates its own statistical distributions, allowing the system to process data in discrete, manageable units rather than as a continuous stream, thereby reducing overall computational burden while maintaining control reliability.
3Productivity
If continuous monitoring of multiple drilling parameters is implemented, then drilling performance is improved, but data processing complexity and time increase
Solution Approach 1:
The system continuously monitors multiple drilling parameters (ROP, WOB, RPM, torque, vibration) simultaneously without interruption, enabling real-time detection of parameter deviations. This continuous monitoring maintains high drilling performance while processing time is optimized through efficient statistical calculation methods that update distributions incrementally as new data arrives.
Solution Approach 2:
The system pre-establishes minimum and maximum threshold values for each drilling parameter before operations begin. These predetermined thresholds enable rapid comparison against actual parameters without requiring complex real-time analysis, thereby maintaining high productivity while minimizing data processing time.
Data Source
AI summary
A method may include receiving a digital well plan that specifies planned drilling parameters for drilling a borehole, where each of the specified planned drilling parameters includes one or more of a minimum threshold and a maximum threshold; generating statistical distributions of actual drilling parameters in real-time responsive to receipt of real-time data acquired during a depth-based window for the drilling; generating comparisons in real-time, where each of the comparisons is between one of the statistical distributions and a corresponding one of the planned drilling parameters for the depth-based window; and, responsive to one or more of the comparisons indicating an unacceptable actual to planned parameter deviation, issuing a control signal.