Well Plan Comparison Tool Clustering for Offset Well Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In the oil and gas industry, analyzing high-dimensional data from offset wells to compare with target wells is complex, making it difficult to present detailed comparisons in a graphical user interface that a human can readily understand without sacrificing detail.
Innovation Solution
A method and system that use a well plan comparison tool to select parameters, assign weights to these parameters, and cluster objects based on weighted values, displaying the clusters in a graphical user interface to facilitate easier visualization and understanding of complex data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-dimensional data from multiple offset wells is analyzed in detail, then the completeness and precision of the analysis is improved, but the complexity of presenting the data in a graphical user interface increases
Solution Approach 1:
The patent segments high-dimensional well data into multiple dimensional views (first dimension: well plan parameters; second dimension: production data; third dimension: spatial relationships). Each dimension can be independently analyzed and displayed, allowing comprehensive analysis without overwhelming the interface. The segmentation enables users to focus on specific aspects of well data without being confronted with all dimensions simultaneously.
Solution Approach 2:
The patent transforms complex high-dimensional data into multi-dimensional visual representations by adding spatial dimensionality to the interface. Well plans are displayed with spatial relationships between wells, and additional dimensions such as production data and temporal information are overlaid. This dimensionality transformation allows comprehensive data presentation while maintaining interface usability through intuitive spatial visualization.
2Loss of information
If multiple types of data are compared for ten or more wells, then the comprehensiveness of the analysis is improved, but the difficulty of detecting and measuring the data relationships increases
Solution Approach 1:
The patent segments comprehensive well data into distinct categorical groups (well plan parameters, production data, spatial relationships) that can be independently analyzed. Each category maintains its integrity while being part of the overall multi-dimensional analysis framework. This segmentation reduces the cognitive load of detecting relationships by organizing data into manageable, meaningful groups.
Solution Approach 2:
The patent creates a universal multi-dimensional analysis framework that can handle multiple types of data (geological, engineering, production, spatial) within a single integrated system. The framework provides consistent methods for comparing different data types across multiple wells, enabling comprehensive analysis without requiring separate analysis tools for each data category.
3Measurement precision
If detailed high-dimensional space analysis is performed, then the accuracy of well plan comparison is improved, but the time required for analysis increases
Solution Approach 1:
The patent employs spatial visualization to represent high-dimensional data relationships in an intuitive multi-dimensional space. By mapping well plans and their parameters into spatial representations with defined distance metrics, the system enables rapid visual comparison and pattern recognition. This spatial transformation allows accurate comparison of complex well data without requiring exhaustive analytical processing, significantly reducing analysis time while maintaining precision.
Data Source
AI summary
Dynamic offset well analysis includes receiving a selection of a set of parameters on a well plan comparison tool displayed in a graphical user interface (GUI). For each parameter that is selected, a selection of a set of weights is received from the well plan comparison tool. Dynamic offset well analysis also includes weighting parameter values for objects according to the set of weights. Dynamic offset well analysis additionally includes analyzing the objects according to the weighted parameter values to form clusters. The clusters are then displayed on the well plan comparison tool in the GUI.


