Extended Quantization for Multi-Attribute Seismic Integration
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Solution Overview
Problem
Current techniques are limited in integrating more than three seismic attributes into a single image, leading to confusion and frustration due to overlapping and repeated data, as well as complex relationships between attributes and geological targets.
Innovation Solution
A computer-implemented method using extended quantization to merge multiple geophysical attributes by scaling data points into a serialized bit structure, grouping them based on reduction criteria, and iteratively merging data points to form a composite image, allowing for the integration of four or more attributes while preserving significant geological features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple seismic attributes (more than three) are integrated into a single image using traditional techniques, then the amount of information available for analysis increases, but the complexity of visualizing and interpreting the data increases beyond the capability of existing methods
Solution Approach 1:
The patent extends the traditional three-dimensional RGB color model to a four-dimensional model by incorporating an additional attribute dimension. This is achieved by using alpha blending techniques where the fourth attribute is integrated through transparency operations, allowing four or more seismic attributes to be visualized simultaneously in a single image without exceeding the computational capabilities of standard display systems.
Solution Approach 2:
The patent creates a universal visualization framework that can handle any number of seismic attributes (three or more) by using a standardized multi-layer blending approach. This framework provides a consistent method for integrating different types of attributes (coherence, curvature, frequency, etc.) regardless of their specific characteristics, making the system versatile and adaptable to various interpretation needs.
2Measurement precision
If multiple seismic attributes are displayed separately, then each attribute can be visualized clearly, but the interpreter must switch between multiple images which is time-consuming and reduces productivity
Solution Approach 1:
The patent merges multiple separate attribute images into a single composite image by applying alpha blending operations. Each attribute is displayed as a semi-transparent layer that overlaps with others, allowing interpreters to view multiple attributes simultaneously in one unified visualization. This eliminates the need to switch between multiple separate images while preserving the distinct characteristics of each attribute.
3Ease of operation
If traditional RGB or HLS color mapping is used to combine three attributes, then the visualization is straightforward, but it is intrinsically limited to only three attributes
Solution Approach 1:
The patent transitions from the traditional three-dimensional RGB or HLS color space to a four-dimensional visualization space by incorporating an additional attribute dimension through alpha blending. The fourth attribute is integrated using transparency operations, effectively extending the color mapping capability from three to four attributes while maintaining the simplicity of the visualization approach.
Solution Approach 2:
The patent uses alpha blending as an intermediary mechanism to combine multiple attributes. The alpha channel acts as a mediator that allows seamless integration of the fourth attribute with the traditional three-color model, enabling smooth transitions and overlapping visualizations without requiring a complete overhaul of the existing color mapping infrastructure.
Data Source
AI summary
Four or more seismic attributes are integrated or merged into imaging formats and displayed for geological interpretation via extended quantization. Multi-attribute integration and classification improves the ability to identify geologic facies, and reservoir properties such as thickness, fluid type, or fracture intensity and orientation. The extended quantization groups up to eight attributes as a single attribute for geophysical data classification. Data group reduction criteria are provided to reveal common geological targets in the data, while preserving small variations or thin layers often found in hydrocarbon reservoirs. By combining multiple attributes, image quality is enhanced while providing analysts the ability to observe channels that might not be visible in any single attribute.