Multi-dimensional Data Analysis for Well Site Heterogeneity
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Solution Overview
Problem
Current data analysis techniques for well sites struggle to integrate heterogeneous data from different sources, failing to effectively depict formation heterogeneities due to their inability to facilitate the integration of diverse data types.
Innovation Solution
A computer-implemented method and apparatus for multi-dimensional data analysis that receives and processes data from well sites, performing cluster analysis to identify differences between regions using K-Means algorithm, reducing redundancies, and selecting centroid locations to minimize distances, thereby creating models that represent the properties of each cluster unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate software packages are used for analyzing different data sources (seismic data, porosity measurements), then each data type can be analyzed with specialized tools, but the ability to integrate data from different sources is lost
Solution Approach 1:
The patent merges multiple separate data analysis capabilities into a single integrated software platform. The system combines seismic data analysis, porosity measurement analysis, and other well site data analysis functions into one unified environment, enabling simultaneous integration and analysis of heterogeneous data from multiple sources without requiring separate specialized software packages for each data type.
Solution Approach 2:
The software platform is designed with universal functionality to handle multiple data types and analysis objectives within a single system. The platform provides standardized interfaces and processing capabilities that can accommodate diverse data sources (seismic, well logs, production data) while maintaining the precision needed for each specific data type through configurable analysis parameters.
2Productivity
If existing analysis techniques are used, then data from specific sources can be processed, but formation heterogeneities cannot be effectively depicted due to inability to integrate heterogeneous data
Solution Approach 1:
The patent applies segmentation by dividing the formation into distinct heterogeneity zones based on integrated multi-source data analysis. The system processes heterogeneous data from multiple sources, identifies distinct regional characteristics, and segments the formation into zones with similar properties. This segmentation enables detailed depiction of formation heterogeneities while maintaining efficient data processing through automated classification algorithms.
Solution Approach 2:
The system introduces an intermediary data integration layer that reconciles heterogeneous data from different sources before forming the final geological model. This intermediary processing layer standardizes data formats, reconciles measurements from different instruments, and creates a unified representation that preserves formation heterogeneity information while enabling efficient integrated analysis.
Data Source
AI summary
A method, apparatus and computer usable program code for identifying regions in the ground at a well site. Continuous data is received from the well site; reducing redundancies in the continuous data received from the well site to form processed data. Cluster analysis is performed using the processed data to form a set of cluster units, wherein the set of cluster units include different types of cluster units that identify differences between regions in the ground at the well site. Properties are identified for each type of cluster unit in the set of cluster units to form a model for the well site.