Borehole Data Visualization System for Intuitive Parameter Selection
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Solution Overview
Problem
Current data visualization methods for drilling operations lack organization and meaningful representation, requiring high expertise and additional processing to extract insights from large datasets, hindering efficient drilling processes and productivity analysis.
Innovation Solution
A visualization system comprising a processor, computer-readable medium, and user interface that processes and displays data based on user input, allowing selection and further visualization of multiple parameter types at various depth values, utilizing a carousel-like display of radial segments or planes for intuitive data preview and bookmarking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If large volumes of data are collected during drilling operations, then more comprehensive information about borehole and formation conditions is obtained, but the data becomes difficult to organize and visualize meaningfully
Solution Approach 1:
The system segments the borehole into multiple depth intervals and organizes data by parameter types (e.g., acoustic, density, porosity) at different depths. The graphical user interface presents this segmented data in an organized manner, allowing users to navigate through depth intervals and parameter types without being overwhelmed by the full dataset complexity.
Solution Approach 2:
The patent introduces a computer system with specialized software as an intermediary between the raw data collection tools and the user. This intermediary automatically processes, organizes, and visualizes the data through graphical representations, eliminating the need for users to manually organize complex datasets while preserving comprehensive information.
2Measurement precision
If high expertise and additional processing are required to extract meaningful information, then more thorough analysis can be performed, but the drilling process efficiency decreases
Solution Approach 1:
The system performs self-service by automatically processing and visualizing the data without requiring extensive manual intervention or specialized expertise. The graphical user interface and automated algorithms handle data organization, transformation, and presentation, allowing users to quickly extract meaningful information through intuitive interactions rather than complex manual processing.
Solution Approach 2:
The system performs preliminary action by automatically organizing and pre-visualizing data in meaningful representations before the user needs to analyze it. This preliminary processing includes automatic data sorting by depth and parameter type, generation of graphical summaries, and preparation of interactive views, thereby eliminating the need for time-consuming manual analysis while maintaining thoroughness.
3Quantity of substance
If data is not organized and visualized in a meaningful way, then all raw data can be preserved, but meaningful information becomes difficult to ascertain without lengthy processing
Solution Approach 1:
The system performs preliminary organization and visualization of data in meaningful representations, such as graphical plots and structured tables, before the user needs to access it. This preliminary action preserves all raw data while simultaneously creating ready-to-use visual summaries that can be interpreted quickly without lengthy processing, thereby eliminating time loss in information extraction.
Data Source
AI summary
A visualization system for providing a preview of data obtained in a borehole and available for selection includes a processor configured to process the data based on user input and instructions and provide output for display on a display device; a computer-readable medium configured to store the instructions, the instructions including commands to output values of two or more types of parameters at two or more depth values for display; and a user interface configured to facilitate selection of one or more of the two or more types of parameters for further visualization and processing.