Drilling Hazard Detection via Well Log Correlation
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Solution Overview
Problem
Existing drilling technologies face challenges in accurately determining drilling hazard conditions within wellbores due to inaccurate logging tool measurements, especially in unusual geological and drilling scenarios, where well logs may be deformed, shifted, or contaminated with noise.
Innovation Solution
A method and system that utilize a reservoir simulator to generate and train models using augmented well data, incorporating historical drilling signals to determine drilling hazard conditions by correlating real-time drilling signals with historical data, allowing for adjustments to the well path to mitigate hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If logging tool measurements are used to determine drilling hazard conditions, then drilling operations can be monitored, but measurement accuracy deteriorates in unusual geological and drilling scenarios where well logs may be deformed, shifted, or contaminated with noise
Solution Approach 1:
The patent introduces an intermediary processing system that receives raw logging tool measurements and transforms them into reliable drilling hazard condition determinations. The system uses multiple processing techniques including noise filtering, signal correlation with geological models, and cross-validation with other measurement sources to mediate between imperfect raw measurements and accurate hazard assessment.
Solution Approach 2:
The system performs multiple functions simultaneously: it processes logging tool measurements, filters noise, correlates signals with geological models, validates results against multiple criteria, and determines drilling hazard conditions. This multi-functional approach ensures reliable hazard determination even when individual measurement sources are degraded or contaminated.
2Reliability
If real-time drilling signals are correlated with historical data to identify hazards, then drilling safety improves, but processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing historical drilling data in organized formats before real-time analysis is needed. Geological models and historical signal patterns are prepared in advance, allowing the real-time correlation process to quickly compare current drilling signals against pre-processed reference data, thereby reducing processing time while maintaining safety reliability.
3Measurement precision
If multiple historical drilling signals from multiple wells are analyzed, then hazard identification accuracy improves, but data processing complexity and resource requirements increase
Solution Approach 1:
The system extracts only the essential and relevant features from multiple historical drilling signals and geological data, rather than processing all raw data. By identifying and extracting key hazard-indicating parameters and patterns from diverse data sources, the system achieves accurate hazard identification while reducing processing complexity and resource requirements.
Data Source
AI summary
A method may include obtaining a plurality of historical drilling signals for a plurality of wells. At least one historical drilling signal among the plurality of historical drilling signals describes a drilling surface parameter that is measured during a respective drilling operation. The method may further include generating a first drilling signal while drilling a wellbore through a formation. The method may further include determining a first drilling correlation between the first drilling signal and the plurality of historical drilling signals. The method may further include determining a drilling hazard condition within a well path of the wellbore using the first drilling correlation. The method may further include adjusting, based on the drilling hazard condition, the well path of the wellbore.