SCADA Pump Control Using Advisory-to-Action Translation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Legacy advisory systems in oil production environments lack the necessary logic and processing capabilities to automatically control machinery based on pre-determined operating conditions, relying heavily on manual intervention for optimizing pump operations, which is time-consuming, costly, and prone to errors.
Innovation Solution
A supervisory control and data acquisition (SCADA) system with an integrator that translates advisory statements into optimization action plans, including specific machine parameters, allowing for automatic adjustments to pump motor speed and valve settings, enabling real-time control without manual translation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual intervention is used to translate advisory statements into machinery parameters, then control accuracy is maintained, but time consumption and labor costs increase significantly
Solution Approach 1:
The system enables self-service automation where the SCADA system automatically translates advisory statements into machinery parameters without requiring manual human intervention. The integrator component performs this translation function autonomously, allowing the system to serve itself by converting advisory data into actionable control parameters automatically.
Solution Approach 2:
The integrator acts as an intermediary component between the advisory system and the control system. It receives advisory statements, translates them into appropriate machinery parameters, and transmits the translated parameters to the SCADA system for execution, thereby bridging the gap between advisory data and actionable control commands.
2Device complexity
If manual translation of advisory statements is performed, then system complexity is reduced, but productivity and response time decrease
Solution Approach 1:
The integrator component provides self-service functionality by automatically performing the translation of advisory statements into machinery parameters. This eliminates the need for manual translation operations and enables the system to process and respond to advisory data autonomously, significantly improving productivity and response time.
3Speed
If automatic control is implemented without an integrator, then response speed increases, but control precision and reliability decrease due to lack of translation capability
Solution Approach 1:
The integrator serves as a specialized intermediary component that ensures reliable and precise translation of advisory statements into accurate machinery parameters. It receives advisory data, performs systematic translation according to predefined rules and relationships, and outputs reliable control parameters that maintain high control precision while enabling automatic rapid response.
Solution Approach 2:
The system replaces manual mechanical translation processes with an automated computational integrator. The integrator uses algorithmic processing to translate advisory statements into machinery parameters, substituting human operators and manual procedures with an automated computational system that maintains precision while enabling faster response speeds.
Data Source
AI summary
Systems, methods, and a computer readable medium are provided for automatically controlling a pump in an oil production environment. Sensor data can be collected from pump machinery and can be used to generate an advisory statement identifying a change in pump operation in regard to one or more operating conditions. The advisory plan can be used to determine an optimization action plan to maintain the operation of the pump machinery with respect to the operating conditions. The optimization action plan can include an action, a parameter, and a parameter variable and can be transmitted to a computing device configured within a supervisory control and data acquisition system and coupled to the pump machinery. The computing device can execute the optimization action plan to control the pump machinery with respect to the operating conditions.