Well-Log Image Visualization With Metadata-Constrained Search
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Solution Overview
Problem
Existing software tools for visualizing sub-surface geological data in the oil and gas domain lack effective search capabilities for patterns within large and complex images generated from well logs and borehole data.
Innovation Solution
A method is implemented that allows users to select a portion of an image, derive search metadata, and apply a search pattern using constraints on search parameters, utilizing a pattern matching model to identify matching portions within the image, and present the results through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If software tools provide visualization capability with color processing and logic to help users analyze patterns, then the visualization quality and analysis accuracy are improved, but the search capability for images remains limited
Solution Approach 1:
The system integrates multiple functions into a single platform: it provides both high-quality visualization with color processing and pattern analysis, and comprehensive search capabilities across multiple dimensions (spatial, attribute-based, pattern matching). The same software environment that visualizes data also enables sophisticated search operations, eliminating the need for separate specialized tools.
Solution Approach 2:
The search functionality utilizes multiple parameters including spatial position, color attributes, pattern characteristics, and user-defined criteria. By changing and combining different search parameters, the system can adapt to various search needs from simple location-based queries to complex pattern recognition tasks.
2Reliability
If the system searches within large and complex images generated from well logs, then the completeness of pattern identification is improved, but the search time and computational resources increase
Solution Approach 1:
The system divides the search process into multiple stages: initial broad scanning to identify candidate regions, followed by detailed pattern matching in those regions, and finally verification of matches. This segmented approach reduces the overall search time while maintaining identification completeness by focusing computational resources on promising areas.
Solution Approach 2:
The system performs partial searches initially using simplified criteria to quickly identify candidate regions, then applies more comprehensive pattern matching only to those candidates. This avoids the excessive computational cost of applying full-pattern recognition to the entire image while still ensuring complete identification of relevant patterns.
3Measurement precision
If users need to select and search specific portions of images with metadata constraints, then the precision of search results is improved, but the complexity of the search process increases
Solution Approach 1:
The system introduces an intermediary layer that handles the complexity of multi-parameter search operations. This intermediary processes user selections, automatically extracts relevant metadata, applies constraints, and coordinates the search across multiple parameters. Users interact with a simplified interface while the intermediary manages the complex coordination required for precise multi-dimensional searching.
4Loss of information
If the system derives search patterns from selected image portions with metadata constraints, then the relevance of search results is improved, but the computational processing required increases
Solution Approach 1:
The system performs preliminary extraction and analysis of metadata from selected image portions before executing the full search. By pre-processing the search pattern and identifying key characteristics in advance, the system reduces the computational burden during the actual search execution while maintaining high result relevance.
Data Source
AI summary
A method may include displaying, in a graphical user interface (GUI) of a display device, an image generated from a well log, receiving, via the GUI, a selection of a portion of the image, obtaining, for the portion of the image, search metadata, and deriving, from the portion of the image, a search pattern including a constraint on a value of a search parameter. The method may further include performing, using the search pattern, a search within the image to obtain search results including matching portions of the image, marking, in the GUI, locations of the search results within the image, receiving, via the GUI, a selection of a search result, and presenting, in the GUI, the search result.