Multi-Well Correlation via Segmented Pairwise Matrices
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Solution Overview
Problem
Current methods for correlating multiple wells using computational stratigraphic models are limited in simultaneously matching a large number of wells, often resulting in unrealistic correlations and erroneous representations of rock properties and reservoir internal structure.
Innovation Solution
The system generates correlation matrices for multiple pairs of wells based on matching between segments of real wells and digital wells in computational stratigraphic models, using an N-dimensional space to establish simultaneous correlations between wells, allowing for the determination of connections, correspondences, and relationships between well segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If direct matching of multiple wells with computational stratigraphic models is performed, then the matching process is simplified, but the total number of wells that may be correlated is limited
Solution Approach 1:
The patent segments the correlation process into pairwise comparisons, where each well is correlated with every other well individually to create multiple correlation matrices. This segmentation allows the system to handle a larger total number of wells by breaking down the complex multi-well correlation into manageable pairwise tasks, thereby resolving the contradiction between operational simplicity and the quantity of wells that can be correlated.
Solution Approach 2:
The patent introduces an N-dimensional space where N equals the number of wells being correlated. This dimensional transformation allows simultaneous representation of multiple wells in a unified correlation framework, enabling the system to correlate a greater number of wells while maintaining operational efficiency through the structured organization of pairwise correlation matrices in this extended dimensional space.
2Quantity of substance
If greater number of wells are correlated simultaneously, then more comprehensive reservoir coverage is achieved, but the probability that all wells may be matched simultaneously in one computational model decreases
Solution Approach 1:
The patent segments the correlation task into multiple independent pairwise comparisons, creating individual correlation matrices for each well pair. This segmentation ensures that each pairwise matching maintains high reliability and matching probability, while the collection of all pairwise correlations collectively provides comprehensive reservoir coverage across all wells, thus resolving the contradiction between quantity and reliability.
Solution Approach 2:
The patent uses the correlation matrices as feedback structures that capture the matching relationships between well pairs. By systematically organizing and utilizing these correlation matrices, the system can iteratively refine and validate correlations across multiple wells, maintaining high matching probability for each pair while achieving comprehensive multi-well correlation coverage.
3Loss of information
If lithostratigraphic correlations of wells are performed, then rock property representations are generated, but erroneous representations of spatial distributions and reservoir internal structure may result
Solution Approach 1:
The patent segments the correlation approach into multiple independent pairwise correlations, each generating its own correlation matrix. This segmentation allows the system to capture diverse spatial relationship patterns from different well pairs, reducing the risk of erroneous representations that might arise from a single lithostratigraphic correlation approach, thereby improving both information retention and spatial accuracy.
Solution Approach 2:
The patent utilizes N-dimensional space to represent correlations from multiple well pairs simultaneously, adding dimensional diversity to the correlation analysis. This dimensional expansion enables the system to capture more comprehensive spatial distribution patterns and reduce errors in rock property representations by considering multiple correlation perspectives, thus resolving the contradiction between information completeness and spatial accuracy.
4Quantity of substance
If consecutive correlation of well pairs is performed, then multiple wells can be correlated, but unrealistic results may be produced
Solution Approach 1:
The patent merges multiple pairwise correlation matrices into a unified N-dimensional correlation framework. By combining the correlation information from all well pairs in this integrated structure, the system achieves comprehensive multi-well correlation while maintaining the realism of individual pairwise relationships, thus resolving the contradiction between correlating multiple wells and producing realistic results.
Solution Approach 2:
The patent transitions from sequential pairwise correlation to simultaneous multi-dimensional correlation by introducing N-dimensional space. This dimensional transformation allows all pairwise correlations to coexist and interact in a unified framework, preserving the realism of individual correlations while achieving comprehensive multi-well correlation, thereby eliminating the unrealistic results that arise from consecutive correlation approaches.
Data Source
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Figure 3A~3B
AI summary
Correlation matrices may be used to simultaneously correlate multiple wells. A correlation matrix may be generated for individual pairs of multiple wells. The values of elements of the correlation matrices may be determined based on matching between segments of the multiple wells and segments of one or more computational stratigraphic models. An N-dimensional space including an axis for individual wells may be generated. Directed walk may be performed within the N-dimensional space to generate paths representing scenarios of correlations for segments of the multiple wells.