Oilfield Data Visualization Using Image Rasters Without Down-Sampling
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Solution Overview
Problem
Traditional techniques are inadequate for analyzing large volumes of oilfield and wellbore data, often resulting in data decimation that loses original resolution and fails to analyze specific events at particular times.
Innovation Solution
The method involves converting raw oilfield or wellbore measurement data into image rasters without down-sampling, using unique identifiers to store and query the data efficiently, allowing for precise visualization and analysis of large datasets without losing resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional data analysis techniques are used on large oilfield datasets, then data processing can be performed with limited memory resources, but data decimation occurs that loses original resolution and fails to analyze specific events at particular times
Solution Approach 1:
The patent transforms the data representation from traditional multi-dimensional arrays to a two-dimensional image raster format. This dimensionality change allows the data to be processed and visualized using image processing techniques, enabling full-resolution data analysis without requiring proportional increases in memory resources. The raster format preserves all original data points while making them computationally manageable.
Solution Approach 2:
The patent creates a visual copy of the measurement data in the form of an image raster that can be displayed and analyzed without modifying the original data. This copy allows users to visualize and analyze specific events at particular times with full resolution, while the original high-volume data remains stored for reference, eliminating the need to decimate the data.
2Reliability
If full-resolution oilfield data is stored and visualized without down-sampling, then accurate subsurface geometry identification is achieved, but significant memory resources are required
Solution Approach 1:
By converting measurement data into a two-dimensional image raster representation, the patent enables full-resolution data to be stored and visualized efficiently. This dimensionality transformation allows the data to leverage optimized image storage and processing systems, reducing memory resource requirements while maintaining complete data fidelity for accurate subsurface geometry identification.
Solution Approach 2:
The patent changes the data format parameter from traditional numerical arrays to image raster format. This parameter change fundamentally alters how the data is stored, processed, and visualized, enabling full-resolution data handling with reduced memory consumption by utilizing image processing optimizations and efficient raster storage schemes.
3Loss of information
If data is stored as image rasters without down-sampling, then critical trends and patterns are preserved, but data storage and processing complexity increases
Solution Approach 1:
The patent creates an image raster copy of the measurement data that preserves all critical trends and patterns in visual form. This copy can be displayed and analyzed directly without complex processing, while the conversion process itself provides a structured framework for data organization and retrieval, actually simplifying access to critical information.
Solution Approach 2:
By changing the data representation parameter to image raster format, the patent simplifies data storage through efficient image file formats and reduces processing complexity by leveraging optimized image processing algorithms. The visual nature of rasters makes pattern recognition and trend analysis more straightforward compared to traditional numerical data structures.
Data Source
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AI summary
Oilfield and wellbore data may include geophone data (seismic) and airborne surveys such as microseep data, as well as fiber optic measurements collected utilizing a distributed sensing system. Continuous monitoring of various oilfield and wellbore properties, such as temperature, pressure, Bragg gradient, acoustic, and strain, and the like, may generate a large volume of data, possibly spanning into several terabytes. Embodiments of the present invention provide techniques for visualizing a large volume of such measurements taken in a oilfield or wellbore without down-sampling measurement data.