Geographic Resource Visualization for Multi-Source Data Analysis
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Solution Overview
Problem
Oil and gas enterprises face challenges in efficiently analyzing large volumes of resource data from various sources due to its complexity, making it difficult to manage and utilize effectively.
Innovation Solution
A method and system for generating geographic data visualizations that organize, index, and categorize resource data based on location and criteria data, enabling interactive display and control of information, allowing users to efficiently manage and utilize geologic and non-geologic data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If resource data from multiple sources is collected and stored, then data completeness and information availability are improved, but data complexity and difficulty of analysis increase
Solution Approach 1:
The patent segments resource data into distinct categories (geologic data, non-geologic data, well logs, seismic data, etc.) and organizes them in a hierarchical structure with multiple levels of detail. This segmentation allows users to access comprehensive information while presenting only relevant portions, reducing perceived complexity.
Solution Approach 2:
The patent introduces a geographic dimension by displaying resource data on a map interface, transforming tabular or structured data into spatial visualizations. This dimensional change enables users to comprehend complex multi-source data through geographic context, making patterns and relationships more apparent.
2Loss of information
If comprehensive resource data is displayed, then information completeness is improved, but ease of operation and user accessibility deteriorate
Solution Approach 1:
The patent implements local quality by allowing different regions or areas on the map to display different levels of data detail and types. Users can customize what information is displayed in specific geographic areas, presenting comprehensive data where needed while maintaining simplicity in other regions.
Solution Approach 2:
The patent creates a dynamic visualization system where data display adapts based on user interactions, zoom level, and selection criteria. The system dynamically adjusts what information is presented, allowing users to drill down from high-level summaries to detailed resource data as needed.
3Measurement precision
If detailed resource data analysis capabilities are provided, then measurement precision and analytical depth are improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing and organizing resource data into structured formats with metadata, geographic coordinates, and categorical classifications before user access. This pre-organization enables rapid retrieval and analysis of specific data types without requiring complex real-time processing.
Solution Approach 2:
The patent extracts and separates specific data elements from comprehensive resource datasets, allowing users to focus on particular aspects (e.g., only seismic data, or only data within a specific geographic region). This extraction reduces the volume of data requiring processing while maintaining analytical precision for the selected subset.
Data Source
AI summary
A method includes receiving, via one or more processors, resource data from a plurality of source. The method also includes determining, via the one or more processors, location data associated with the resource data from the plurality of sources. Further, the method includes receiving, via the one or more processors, criteria data corresponding to a user accessing the resource data. Further still, the method includes generating, via the one or more processors, a geographic data visualization of the resource data based on the location data. The geographic data visualization includes a plurality of visual resource representations indicative of at least a portion of the resource data.