Borehole Data Visualization Helmet for Drilling Operations
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Solution Overview
Problem
Current data visualization methods in the drilling industry are not organized or visualized effectively, requiring high expertise and lengthy processing to extract meaningful information from large data sets, hindering efficient drilling operations and productivity assessment.
Innovation Solution
A visualization system that includes a processor for data processing and display on a helmet visor, allowing for the output of multiple parameter values at various depth values, with an input interface, camera for image capture, location determination, and a heads-up display for real-time data preview and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional data visualization methods are used, then data can be displayed, but the data is not organized or visualized effectively, requiring high expertise and lengthy processing
Solution Approach 1:
The system segments the borehole into multiple depth intervals and organizes data by depth values, allowing users to navigate and visualize data in manageable sections rather than dealing with a monolithic large dataset. The visualization interface is divided into multiple display areas showing different parameter types at different depths.
Solution Approach 2:
The system performs preliminary organization and pre-processing of borehole data by depth values and parameter types before visualization. Data is pre-sorted, indexed, and structured in a way that enables rapid retrieval and display, eliminating the need for lengthy processing during actual visualization operations.
2Ease of operation
If traditional data visualization methods are used, then data can be displayed, but high expertise is required to ascertain meaningful information
Solution Approach 1:
The system segments data by parameter types (e.g., density, porosity, velocity) and depth intervals, presenting them in organized categories. This segmentation allows users to systematically review data without needing expert knowledge to navigate complex raw datasets, as each segment is clearly labeled and organized.
Solution Approach 2:
The visualization system acts as an intermediary between raw borehole data and user interpretation. It provides automated organization, sorting, and presentation of data, translating complex raw measurements into structured visual representations that are easier to interpret without requiring high expertise in the underlying geophysical parameters.
3Quantity of substance
If large volumes of data are collected, then more comprehensive information is obtained, but the data sets are not organized and visualized in a meaningful way
Solution Approach 1:
The system divides large volumes of borehole data into manageable segments organized by depth values and parameter types. This segmentation reduces the perceived complexity of large datasets by presenting them in structured, hierarchical categories that are easier to navigate and visualize, even as data volume increases.
Solution Approach 2:
The system performs preliminary organization of large datasets by pre-sorting and indexing data according to depth values and parameter types before visualization. This pre-organization eliminates the need for complex real-time sorting and arrangement during data review, reducing the operational complexity of handling large data volumes.
Data Source
AI summary
A visualization system for providing a preview of data obtained in a borehole and available for selection and a helmet for visualization and monitoring are described. The visualization system 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 helmet including a visor configured to display the values of the two or more types of parameters at the two or more depth values.