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Operations and Maintenance Report for Muscat Bay STP (May 2024)
Date: June 8, 2024
Introduction and Objective
The primary objective of this report is to provide an in-depth analysis of the operational performance of the Muscat Bay Sewage Treatment Plant (STP) for May 2024. This report aims to identify the root causes of underperformance, with a focus on maintenance discrepancies, tanker management, operator monitoring, flow rate inconsistencies, and shutdowns. The ultimate goal is to propose actionable recommendations that will enable the plant to achieve its design capacity of 750 m³/day.
Key Issues and Findings
Maintenance Work and Discrepancies
The daily reports consistently lack detailed maintenance logs. While major cleaning and Preventive Planned Maintenance (PPM) were performed on Membrane 1, Membrane 2 did not receive similar attention. This discrepancy suggests a significant gap in the maintenance routine, potentially contributing to frequent shutdowns and reduced plant performance. As per our agreement, the target date to address all issues of the STP plant was set for March 7, 2024. However, this has not been accomplished, and some equipment remains non-operational. Additionally, the maintenance activities are not properly documented, and no monthly reports have been provided, despite repeated reminders.
Missing Reports
A notable issue identified is the inconsistency in daily report submissions, with reports missing for May 3, 28, 29, and 30. Despite streamlining the reporting process through structured templates and easy submissions via a provided link, discrepancies persist. It appears operators are omitting reports and are inconsistent in their submissions, even though the process has been made straightforward and readily accessible.
Shutdowns and Operator Monitoring
Frequent shutdowns due to low water levels in the equalization tank were recorded, particularly in the early morning hours. The dates affected include May 14, 16, 20, 22, 25, 26, and 27. The consistent timing of these shutdowns raises concerns about operator performance during night shifts, suggesting possible negligence or improper calculation of sewage levels. This indicates that corrective actions are not being implemented effectively, as the repeated nature of these shutdowns suggests continuous oversight and a lack of adherence to corrective measures.
Design Capacity vs. Actual Production
The plant has consistently operated below its design capacity of 750 m³/day. The Total Suspended Solids (TSS) effluent water output demonstrated significant daily variability, with production figures ranging from 345 m³ to 479 m³. This underutilization results in operational inefficiencies and reduced treatment performance.
Inflow Variability
The daily inflow data showed significant fluctuations, especially around mid-May. These inconsistencies in inflow volumes directly impact the plant's ability to maintain steady treatment loads and effluent quality. The variability is likely due to irregular tanker discharges and potential blockages in the inflow system. Despite the operators controlling the number of tankers, it appears they have not adequately calculated to ensure the equalization tanks consistently contain sufficient sewage, leading to inflow shortages.
Operational Practices and Equipment Performance
The variability in treated water flow rates for MBR-1 and MBR-2, combined with significant fluctuations in production and inflow volumes, indicates systemic issues within the plant's operational practices and equipment performance. The irregularities suggest poor inflow management and potential equipment failures or suboptimal performance.
Detailed Shutdown Analysis
A pattern of shutdowns due to low water levels in the equalization tank was observed, with specific shutdowns occurring at early morning hours. These shutdowns were not always detailed comprehensively in the daily reports, indicating a need for more rigorous reporting practices.
Plant Shutdown and Timing
Date | Inlet Sewage Volume (m³) | Comments | Time of Shutdown |
May 13, 2024 | 500 | Day before shutdown on May 14, 2024 | |
May 14, 2024 | 300 | Shutdown due to low water level | 2:40 am |
May 15, 2024 | 520 | Day before shutdown on May 16, 2024 | |
May 16, 2024 | 310 | Shutdown due to low water level | 5:35 am |
May 19, 2024 | 480 | Day before shutdown on May 20, 2024 | |
May 20, 2024 | 290 | Shutdown due to low water level | 12:35 am |
May 20, 2024 | 470 | Day before shutdown on May 21, 2024 | |
May 21, 2024 | 280 | Shutdown due to low water level | 3:35 am |
May 21, 2024 | 490 | Day before shutdown on May 22, 2024 | |
May 22, 2024 | 275 | Shutdown due to low water level | 3:35 am |
May 24, 2024 | 510 | Day before shutdown on May 25, 2024 | |
May 25, 2024 | 295 | Shutdown due to low water level | 7:00 am |
May 26, 2024 | 500 | Day before shutdown on May 27, 2024 | |
May 27, 2024 | 280 | Shutdown due to low water level | 5:35 am |
Missing Reports
Date | Reason for Missing Report |
May 3, 2024 | Not provided |
May 28, 2024 | Not provided |
May 29, 2024 | Not provided |
May 30, 2024 | Not provided |
Root Cause Analysis for Inflow Issues
A comprehensive analysis of the inflow data revealed significant drops in the inlet sewage volume on the days of the shutdowns. This consistent drop suggests issues with inflow management, potentially due to irregular tanker discharges or blockages within the system.
Data Compilation for Shutdown Dates and Prior Days
Date | Inlet Sewage Volume (m³) | Comments |
May 13, 2024 | 500 | Day before shutdown on May 14, 2024 |
May 14, 2024 | 300 | Shutdown due to low water level |
May 15, 2024 | 520 | Day before shutdown on May 16, 2024 |
May 16, 2024 | 310 | Shutdown due to low water level |
May 19, 2024 | 480 | Day before shutdown on May 20, 2024 |
May 20, 2024 | 290 | Shutdown due to low water level |
May 20, 2024 | 470 | Day before shutdown on May 21, 2024 |
May 21, 2024 | 280 | Shutdown due to low water level |
May 21, 2024 | 490 | Day before shutdown on May 22, 2024 |
May 22, 2024 | 275 | Shutdown due to low water level |
May 24, 2024 | 510 | Day before shutdown on May 25, 2024 |
May 25, 2024 | 295 | Shutdown due to low water level |
May 26, 2024 | 500 | Day before shutdown on May 27, 2024 |
May 27, 2024 | 280 | Shutdown due to low water level |
Recommendations and Actions
Based on the comprehensive analysis of the operational performance and the identified issues, the following recommendations and actions are proposed to address the underperformance and achieve the design capacity of 750 m³/day:
Timeframe | Action | Details |
Immediate Actions (0-1 month) | Schedule PPM for Membrane 2 | Perform comprehensive maintenance and cleaning. |
Immediate Actions (0-1 month) | Review and Optimize Tanker Scheduling Policies | Ensure consistent sewage inflow. |
Immediate Actions (0-1 month) | Install Automated Monitoring Systems for the Equalization Tank | Implement real-time alerts for critical levels. |
Mid-term Actions (1-3 months) | Implement Synchronized Maintenance Schedules for Both Membranes | Ensure regular and balanced maintenance. |
Mid-term Actions (1-3 months) | Develop and Enforce Strict Operator Monitoring Protocols | Especially for night shifts to ensure continuous monitoring. |
Mid-term Actions (1-3 months) | Enhance Real-time Monitoring and Predictive Maintenance Tools | Use advanced technologies for proactive management. |
Long-term Actions (3-6 months) | Establish Continuous Improvement Program Using Lean and Six Sigma Methodologies | Focus on enhancing operational efficiency. |
Long-term Actions (3-6 months) | Conduct Regular Training Sessions for Operators on Best Practices and Accountability | Ensure operators are well-trained and accountable. |
Long-term Actions (3-6 months) | Improve Coordination and Scheduling of Tanker Discharges | Use real-time data to adjust tanker schedules and inflow rates. |
Conclusion
By addressing the identified issues and implementing the recommended actions, the Muscat Bay STP plant can significantly improve its operational efficiency, maintain consistent data reporting, and ensure compliance with industry standards. Regular monitoring and optimization of key parameters will help achieve the design capacity and enhance overall plant performance.
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