Joint Inversion Weighting for Accurate Formation Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Joint inversion processes using different spacing and operating frequencies for well-log data often result in varying measurement accuracies, leading to inferior combined inversion results compared to individual inversions, as different inversions have different effective models and measurement accuracies.
Innovation Solution
A joint inversion system that performs multiple inversions at varying frequencies and transmitter-receiver spacings, assigns fluctuating weights based on distance from the wellbore to account for sensitivity and accuracy, and merges these inversions to generate a combined model, using methods like fuzzy logic and spatial interpolation to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If joint inversion process combines multiple inversions from different spacing and operating frequencies, then the quantity of inversion results increases, but the measurement precision decreases due to varying measurement accuracies
Solution Approach 1:
The patent applies local quality by assigning different weights to different inversion results based on their specific measurement characteristics. Each inversion result is evaluated locally for its accuracy and reliability, and weights are assigned accordingly. This allows the system to maintain high measurement precision while incorporating multiple inversion results from different spacing and frequency configurations.
Solution Approach 2:
The patent changes the parameter of weight assignment to resolve the contradiction. By dynamically adjusting weights based on measurement accuracy, the system can incorporate multiple inversion results (increasing quantity) while maintaining measurement precision through weighted averaging that emphasizes more accurate measurements.
2Adaptability or versatility
If joint inversion process uses multiple frequency and transmitter-receiver spacing measurements, then the adaptability improves, but the measurement precision deteriorates due to different effective models
Solution Approach 1:
The patent evaluates each inversion result locally for its specific effectiveness and assigns weights accordingly. This allows the system to adapt to multiple frequency and spacing configurations while maintaining precision by giving appropriate weight to each configuration's inversion results based on their individual performance.
Solution Approach 2:
The patent implements dynamic weight assignment where the weights are not fixed but are calculated based on the specific characteristics and performance of each inversion result. This dynamic approach allows the system to adapt to varying measurement conditions while maintaining measurement precision through optimized weighting.
3Adaptability or versatility
If joint inversion process combines inversions with different measurement accuracies, then the versatility increases, but the reliability decreases
Solution Approach 1:
The patent assesses the local quality (accuracy and reliability) of each inversion result and assigns weights accordingly. This allows the system to incorporate diverse inversion results from different sources and configurations (increasing versatility) while maintaining reliability by weighting results according to their proven accuracy.
Solution Approach 2:
The patent uses feedback mechanisms to evaluate the performance of different inversion results and adjust weights accordingly. By continuously monitoring and comparing inversion results against known criteria, the system can maintain reliability while incorporating multiple sources, as the feedback loop ensures that less reliable results are appropriately down-weighted.
Data Source
AI summary
A computer-implemented method to perform joint inversion of formation data includes performing a first inversion of a formation surrounding a wellbore at a first frequency/spacing configuration, and performing a second inversion of the formation at a second frequency/spacing configuration that is different from the first configuration. The method also includes assigning a first fluctuating weight to the first inversion, and assigning a second fluctuating weight to the second inversion. The method further includes merging the first and second inversion based on a combination of the first and second fluctuating weights.