17549669. SYSTEM FOR CONTROLLING PERFORMANCE OF SALT WATER DISPOSAL WELLS simplified abstract (Saudi Arabian Oil Company)
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SYSTEM FOR CONTROLLING PERFORMANCE OF SALT WATER DISPOSAL WELLS
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SYSTEM FOR CONTROLLING PERFORMANCE OF SALT WATER DISPOSAL WELLS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17549669 titled 'SYSTEM FOR CONTROLLING PERFORMANCE OF SALT WATER DISPOSAL WELLS
Simplified Explanation
The patent application describes a system and method for monitoring and managing the performance of a group of salt water disposal (SWD) wells in a network. Here are the key points:
- The system performs well measurements to generate SWD well data in real-time.
- It retrieves a machine learning model that is trained using labeled SWD data, which represents faults in the SWD wells.
- The SWD well data is inputted into the machine learning model to predict well injection pressure or injection rate, including any faults or anomalies.
- Based on the classification output from the machine learning model, control data is generated to change the operation of the SWD well.
Potential applications of this technology:
- Oil and gas industry: The system can be used to monitor and manage the performance of SWD wells in oil and gas fields, ensuring efficient and reliable disposal of salt water.
- Environmental monitoring: The system can help in monitoring and managing the impact of salt water disposal on the environment, ensuring compliance with regulations and minimizing environmental risks.
Problems solved by this technology:
- Fault detection: The system can detect faults or anomalies in the operation of SWD wells, allowing for timely maintenance and preventing potential issues.
- Performance optimization: By monitoring and managing the performance of SWD wells, the system can optimize injection pressure and rate, improving overall efficiency and reducing costs.
Benefits of this technology:
- Real-time monitoring: The system provides real-time data on the performance of SWD wells, allowing for immediate action in case of faults or anomalies.
- Predictive maintenance: By predicting faults or anomalies, the system enables proactive maintenance, reducing downtime and improving operational efficiency.
- Cost savings: Optimizing the performance of SWD wells can lead to cost savings by reducing energy consumption and minimizing the need for repairs or replacements.
Original Abstract Submitted
Systems and methods for monitoring and managing day to day performance of a group of salt water disposal wells in a network include performing operations including performing a well measurement to generate salt-water disposal (SWD) well data; retrieving a machine learning model that is trained using labeled SWD data, the labeled SWD data representing one or more SWD well faults causing respective data signatures in the SWD data, each respective data signature being associated with a corresponding label identifying the SWD well fault for a particular SWD well; inputting the SWD well data generated in real-time based on SWD well operation, into the machine learning model; generating, by the machine learning model based on the inputting, a classification output representing a predicted well injection pressure or injection rate of the particular SWD well including SWD wells faults/anomalies; and generating, based on the classification output, control data for changing operation of the particular SWD well.
