Wellbore Tortuosity Quantification from Survey and Diameter Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods struggle to accurately characterize, classify, or quantify the tortuosity of wellbores, which affects drilling efficiency, safety, and completion processes, making it difficult to manage and minimize the challenges posed by wellbore curvature.
Innovation Solution
A method and system for quantifying wellbore tortuosity by determining tortuosity lengths and diameters using survey and diameter data, and generating plots to visualize these metrics, facilitating understanding and management of wellbore curvature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wellbore surveying methods are used, then basic wellbore geometry can be obtained, but accurate characterization and quantification of tortuosity cannot be achieved
Solution Approach 1:
The wellbore is divided into multiple discrete measurement points along its length, with tortuosity calculated segment-by-segment between consecutive survey points. This segmentation allows precise local tortuosity characterization while using standard surveying equipment at each point, resolving the contradiction between measurement precision and system complexity.
Solution Approach 2:
The patent transforms 3D wellbore geometry data (azimuth and inclination at different depths) into a 2D tortuosity metric that quantifies deviation from straightness. By projecting the three-dimensional wellbore path onto a tortuosity calculation framework, the system achieves precise tortuosity measurement using conventional surveying tools without requiring complex specialized equipment.
2Loss of information
If detailed wellbore geometry data is collected to accurately quantify tortuosity, then meaningful tortuosity metrics can be obtained, but data processing complexity increases
Solution Approach 1:
The patent extracts only the essential geometric parameters (azimuth and inclination at survey points) needed for tortuosity calculation from the complete wellbore dataset. By taking out and focusing on these specific parameters, the system achieves complete tortuosity information without processing the entire wellbore geometry dataset, reducing data processing complexity while maintaining information completeness.
Solution Approach 2:
The system performs preliminary calculations of tortuosity metrics directly from survey data as it is collected, rather than processing all raw geometry data afterward. This preliminary action of calculating tortuosity at each survey point eliminates the need for complex post-processing of complete wellbore geometry, reducing overall data processing complexity while maintaining complete tortuosity information.
3Measurement precision
If complex tortuosity analysis methods are implemented, then accurate tortuosity quantification is achieved, but ease of operation and interpretation decreases
Solution Approach 1:
The patent employs visual plotting methods where tortuosity metrics are represented graphically with different visual indicators (such as plot points, lines, or color-coded representations) corresponding to different tortuosity levels. This visual encoding transforms complex tortuosity data into an easily interpretable format, maintaining high measurement precision while dramatically improving ease of operation and interpretation for drilling personnel.
Solution Approach 2:
The system creates simplified graphical representations (plots) that copy and visualize the essential tortuosity characteristics without requiring direct interpretation of raw computational data. These plots serve as accessible copies of the complex tortuosity analysis, maintaining accuracy while enabling easy operation and interpretation by drilling teams without specialized analytical expertise.
Data Source
AI summary
A method of quantifying tortuosity of a wellbore includes receiving survey data for the wellbore indicating an azimuth and an inclination for the wellbore at one or more measurement depths of the wellbore. The method further includes receiving wellbore diameter data for the wellbore indicating the diameter of the wellbore at one or more measurement depths of the wellbore. The method further includes, based on the survey data and the wellbore data and for each measurement depth, selecting a reference diameter and determining a tortuosity length corresponding to a maximum length that a straight tubular having the reference diameter can extend from the measurement depth and down through the wellbore without bending.