Depth-Segmented Drilling Parameter Roadmaps for Autonomous Wellbore Limits
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Solution Overview
Problem
Identifying and defining drilling parameter limits for autonomous downhole drilling operations is challenging, time-consuming, and costly, making it difficult to form target wellbores efficiently and safely.
Innovation Solution
A parameter roadmap system that segments reference wellbore data into depth segments using a statistical model, identifying segment thresholds for drilling parameters based on similarity to a target wellbore, facilitating autonomous drilling with meaningful operational limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used to identify and define drilling parameter limits, then operational safety can be ensured, but the process becomes time-consuming and costly
Solution Approach 1:
The system pre-processes reference wellbore data during idle periods or before drilling operations begin, creating a library of segmented depth intervals and associated parameter limits. This preliminary action allows the autonomous drilling system to quickly access pre-analyzed data during actual drilling operations, avoiding time-consuming real-time analysis while maintaining safety through pre-validated parameter limits
Solution Approach 2:
The system creates simplified representations (copies) of complex drilling scenarios by segmenting reference wellbore data into standardized depth intervals with associated parameter limits. These copied segment models can be rapidly applied to new drilling operations without re-analyzing the original complex datasets, reducing time while preserving the essential safety-critical information
2Measurement precision
If comprehensive drilling parameter analysis is performed for autonomous drilling, then operational limits can be accurately defined, but computational burden increases
Solution Approach 1:
The system divides the continuous wellbore depth range into discrete depth segments based on geological formations, drilling conditions, and parameter behavior patterns. By analyzing and storing parameter limits for each segment separately, the system achieves accurate localized parameter definitions while reducing overall computational burden through divided analysis tasks that can be processed more efficiently
Solution Approach 2:
The system applies different levels of analysis and parameter monitoring to different depth segments based on their specific characteristics and risk profiles. High-risk segments receive more detailed analysis and tighter parameter control, while lower-risk segments use standard analysis, optimizing computational resource allocation while maintaining accuracy where it matters most
3Productivity
If depth-dependent drilling parameter limits are implemented, then drilling efficiency improves, but system complexity increases
Solution Approach 1:
The system implements dynamic parameter limits that automatically adjust based on the current depth segment and associated drilling conditions. Rather than using static, one-size-fits-all parameter limits, the system dynamically selects and applies appropriate parameter ranges for each depth segment, improving drilling efficiency by optimizing parameters for specific conditions while managing complexity through automated depth-based selection logic
Data Source
AI summary
A parameter roadmap system receiving reference wellbore data including drilling parameter data for one or more reference wellbores and selects a segmentation parameter set and associated segmentation parameter data from the reference wellbore data. Based on the segmentation parameter data, the parameter roadmap system segments the reference wellbore data into a plurality of depth segments using a statistical segmentation model. The parameter roadmap system identifies a segment threshold for each drilling parameter of the reference wellbore data at each of the plurality of depth segments to generate a drilling parameter roadmap and provides the roadmap for forming a target wellbore.