Dual Image Method for Multi-Dimensional Rock Sample Analysis
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Solution Overview
Problem
Current methods for generating multi-dimensional images of rock samples, particularly those with complex structures like tight formations, face challenges in achieving accurate and rapid analysis due to limitations in image data analysis and alignment, leading to errors in porosity and phase distribution identification.
Innovation Solution
A method involving the simultaneous capture of dual sets of surface electron and backscatter electron images, followed by alignment and correction using masks to reallocate pixels accurately, enabling the generation of high-resolution three-dimensional volumes with improved accuracy and reduced manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If FIB-SEM three dimensional imaging methods are used to acquire multi-dimensional images, then high resolution imaging is achieved, but challenges in implementing rapid and accurate image data analysis and image volume generation occur
Solution Approach 1:
The patent segments the complex image analysis task into distinct processing stages: image acquisition, preliminary processing, alignment, and volume generation. By dividing the workflow into manageable segments with automated processing at each stage, the system maintains high resolution imaging while improving overall analysis throughput and reducing manual intervention requirements.
Solution Approach 2:
The patent performs preliminary image processing and alignment operations automatically during the image acquisition phase. By preparing images in advance with automated alignment algorithms and preprocessing routines, the system reduces the time required for subsequent analysis and volume generation, thereby improving productivity without sacrificing measurement precision.
2Measurement precision
If manual analysis methods are used for image alignment and corrections, then accurate porosity and phase distribution identification is achieved, but time-consuming manual intervention is required
Solution Approach 1:
The patent implements automated image alignment and correction algorithms that perform tasks previously requiring manual analysis. The system uses self-service processing where computer vision algorithms automatically align images, correct distortions, and identify porosity and phase distributions, thereby maintaining high accuracy while dramatically reducing analysis time and manual intervention.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational algorithms. By substituting human operators with computer-based image processing and machine learning algorithms, the system achieves comparable or superior accuracy in porosity identification while eliminating the time-consuming nature of manual analysis.
3Device complexity
If single modality image capturing is used, then simple processing is maintained, but accuracy in identifying material locations is insufficient
Solution Approach 1:
The patent merges multiple image capturing modalities (e.g., secondary electron imaging, backscatter electron imaging, and energy dispersive spectroscopy) into an integrated system. By combining the strengths of each modality—where some provide better topographic contrast and others provide better compositional information—the system achieves superior material location accuracy while maintaining manageable processing complexity through unified software control.
Solution Approach 2:
The patent creates composite image data by integrating information from multiple imaging modalities simultaneously. Just as composite materials combine different substances to achieve superior properties, the system combines multiple image types to achieve superior material identification accuracy, with each modality contributing complementary information that enhances overall measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for precise and efficient generation of multi-dimensional images, enhancing the accuracy of porosity and phase distribution analysis in rock samples, particularly in tight formations, by integrating dual image modalities and automated processing.
Implementation Method 1
scanning a surface of a sample containing multiple phases by a primary electron beam generated by an electron source
Implementation Method 2
recording separate image data based on detected surface electrons and backscattered electrons emitted by the sample during the scanning
Data Source
AI summary
The present invention relates in part to a method for generating a multi-dimensional image of a sample which combines different image capturing modalities with data analysis capability for identifying and integrating the higher accuracy image features captured by each respective modality to yield reconciled image data of higher accuracy and consistency. A system which can be used to perform the method also is included.