Reactive Valve Settings for Reservoir Optimization
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Solution Overview
Problem
Computer systems used for modeling underground formations and hydrocarbon extraction face inefficiencies in managing large data volumes and timing requirements, leading to delays and increased computing resources.
Innovation Solution
A method of reactively defining valve settings based on the current state of the wellbore, using optimization functions to determine optimal valve positions, reducing the solution space and improving efficiency by implementing valve settings in real-time or simulated scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional modeling and simulation methods are used to manage large data volumes from oilfield sensors, then comprehensive analysis of hydrocarbon extraction can be achieved, but computational efficiency deteriorates leading to delays and increased computing resources
Solution Approach 1:
The patent segments the continuous optimization problem into discrete time intervals and production scenarios. By dividing the modeling process into manageable segments with specific valve setting configurations, the system can process large data volumes more efficiently while maintaining comprehensive analysis capabilities.
Solution Approach 2:
The system changes parameters by using discrete valve setting configurations and time-based scenarios instead of continuous optimization. This parameter discretization reduces computational complexity while preserving the essential modeling accuracy needed for hydrocarbon extraction analysis.
2Reliability
If comprehensive modeling and simulation are performed to analyze hydrocarbon extraction, then extraction optimization can be achieved, but execution time increases causing delays
Solution Approach 1:
The patent applies preliminary action by pre-defining discrete valve setting configurations and production scenarios before actual optimization execution. This allows the system to quickly evaluate pre-prepared options rather than performing comprehensive continuous optimization in real-time, significantly reducing execution time while maintaining optimization reliability.
Solution Approach 2:
The system implements dynamics by using time-based scenarios that adapt valve settings to different production phases. This dynamic approach allows comprehensive analysis to be performed across different time periods rather than requiring all computations to be completed simultaneously, reducing overall execution time.
3Loss of information
If traditional computer systems process large volumes of sensor data, then complete data analysis is achieved, but computing resources are excessively consumed
Solution Approach 1:
The patent extracts only the essential parameters needed for optimization by using discrete valve settings and predefined scenarios. This extraction approach maintains complete analysis of critical data while filtering out unnecessary computational overhead, thereby reducing computing resource consumption while preserving data analysis completeness.
Data Source
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AI summary
A method includes obtaining a reservoir model for a subsurface reservoir, identifying a current state of the subsurface reservoir using the reservoir model, and a computer processor selecting an optimization function from multiple optimization functions according to the current state of the reservoir to obtain a selected optimization function. The method further includes the computer processor calculating valve positions of physical devices using the selected optimization function. The valve positions are implemented.