Unified Oilfield Analysis System Integrating Diverse Data Modules
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Solution Overview
Problem
Current oilfield analysis techniques lack the capability to perform a unified, complex analysis of various parameters affecting oilfield operations, failing to provide a comprehensive view of geological, geophysical, reservoir engineering, and economic aspects, and struggle with integrating data from diverse sources and scales.
Innovation Solution
A system comprising multiple oilfield modules connected through dynamic or integrated connections, allowing for unified modeling, knowledge sharing, and integrated data analysis, enabling the generation of comprehensive oilfield models that consider a wide range of data and parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple separate analysis tools are used for different oilfield parameters, then specialized analysis capability is improved, but system complexity and integration difficulty increase
Solution Approach 1:
The patent combines multiple separate analysis tools (geological, geophysical, reservoir engineering, economic) into a single unified oilfield analysis system. This integration allows all analysis functions to operate within one platform, reducing the complexity of managing multiple separate tools while maintaining specialized analysis capabilities through modular analysis engines.
Solution Approach 2:
The unified oilfield analysis system is designed to perform multiple types of analysis (geological, geophysical, reservoir engineering, economic) through a single multi-functional platform. The system uses a common user interface and data management structure that supports various analysis types, eliminating the need for separate specialized tools while preserving domain-specific analysis capabilities.
2Loss of information
If comprehensive data from diverse sources is integrated, then analysis completeness is improved, but data processing complexity increases
Solution Approach 1:
The system segments data processing into domain-specific modules (geological, geophysical, reservoir engineering, economic) that each handle their respective data types and processing requirements. This modular approach allows comprehensive data integration while managing complexity through specialized processing pipelines for each data category.
Solution Approach 2:
The patent introduces a central data management layer that acts as an intermediary between diverse data sources and analysis engines. This mediator handles data standardization, format conversion, and quality control, enabling comprehensive data integration without overwhelming the processing system with raw data heterogeneity.
3Productivity
If unified modeling is implemented across multiple parameters, then operational efficiency is improved, but computational requirements increase
Solution Approach 1:
The system performs preliminary data processing, validation, and standardization before initiating unified modeling operations. By preparing and pre-processing data in advance, the system reduces the computational burden during actual modeling execution, enabling efficient multi-parameter analysis without excessive resource consumption.
Solution Approach 2:
The unified modeling capability is implemented as a dynamic, on-demand feature that activates only when needed rather than continuously running. The system can selectively engage unified modeling for specific scenarios and scale computational resources accordingly, maintaining operational efficiency while managing computational requirements.
Data Source
AI summary
Systems and methods of performing oilfield operations for an oilfield are provided. The oilfield has a subterranean formation with geological structures and reservoirs therein. A plurality of oilfield modules are positioned in an application. Each of the oilfield modules models at least a portion or attribute of the oilfield. The oilfield modules are selectively connected via a connection. The connections may be integrated connections providing cooperation for integrated modeling therebetween and/or dynamic connections providing knowledge sharing for unified modeling therebetween whereby at least one oilfield model is generated. At least one internal database may be positioned in the application for collecting oilfield data and operatively connected to the of oilfield modules. At least one oilfield model is generated using the oilfield data and the oilfield modules.