Pipeline Closed-Loop Control for Hydrate and Phase Stability
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Solution Overview
Problem
Existing petroleum pipeline systems face challenges in managing hydrate formation, phase transitions, and pipeline fractures due to variations in temperature, pressure, and composition, leading to operational inefficiencies and potential damage.
Innovation Solution
A closed-loop control system using sensors and material models to adjust temperature, pressure, and composition in real-time, employing controllable pipeline elements to maintain the gas within desired phases and minimize hydrate formation, thereby reducing the likelihood of fractures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time closed loop control is implemented to maintain gas in desired phases and prevent hydrate formation, then pipeline reliability and safety are improved, but system complexity and operational costs increase
Solution Approach 1:
The system performs preliminary actions by predicting hydrate formation risk and phase transitions before they occur. The control system uses material models and sensor data to anticipate problematic conditions, allowing preventive control decisions to be made before hydrates form or phase transitions cause issues, thereby improving reliability without requiring complex reactive measures
Solution Approach 2:
The closed-loop control system continuously monitors temperature, pressure, and composition sensors, compares actual conditions against desired phases and hydrate formation boundaries, and automatically adjusts pipeline operations. This feedback mechanism maintains reliability through automated real-time adjustments rather than complex manual intervention systems
2Measurement precision
If multiple sensors and material models are deployed for real-time monitoring and control decisions, then measurement precision and control accuracy are improved, but system cost and complexity increase
Solution Approach 1:
The control system integrates multiple sensors (temperature, pressure, composition) and material models into a unified multi-functional platform that performs diverse functions: monitoring gas properties, predicting phase transitions, assessing hydrate formation risk, and generating control decisions. This universal system achieves high measurement precision across multiple parameters while avoiding the complexity of separate dedicated systems for each function
Solution Approach 2:
The system merges sensor data acquisition, material modeling, phase transition prediction, and control decision-making into an integrated control architecture. By combining these previously separate functions into a single coordinated system, the patent achieves comprehensive measurement precision while reducing overall system complexity through unified data processing and centralized control logic
3Productivity
If controllable pipeline elements are used to adjust temperature, pressure, and composition, then productivity and operational efficiency are improved, but energy consumption increases
Solution Approach 1:
The control system applies partial actions by making targeted, minimal adjustments to temperature, pressure, and composition only when and where needed to maintain desired phases and prevent hydrates. Rather than continuously maximizing heating or pressurization, the system applies the minimum necessary control actions to achieve productivity goals, thereby reducing energy consumption while maintaining pipeline throughput
Solution Approach 2:
The system optimizes energy consumption by dynamically changing operational parameters (temperature, pressure, composition) based on real-time conditions and predicted phase behavior. Material models predict the most energy-efficient parameter adjustments to maintain gas in desired phases, allowing the system to achieve high productivity while minimizing the energy required for heating, pressurization, and composition management
Data Source
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AI summary
A method for operating a pipeline system includes obtaining sensor data of a gas in the pipeline system from sensors of a sensing unit. The method also includes performing a real-time and closed loop control scheme using the sensor data and a material model of the gas to determine one or more control decisions. The method also includes operating one or more controllable pipeline elements to adjust a temperature, a pressure, a flow rate, or a composition of the gas according to the one or more control decisions.