A STRUCTURED MULTI-DOMAIN DATA DRIVEN FRAMEWORK FOR IMPROVING COMPRESSOR RELIABILITYPages 184-196
Abstract
Ensuring the reliability of critical systems is crucial for maintaining equipment availability and guaranteeing safe operations. Compressors, as vital equipment in oil and gas facilities, are particularly susceptible to unexpected failures, which can result in significant production losses, safety risks, and increased maintenance costs. This paper introduces a comprehensive and structured approach designed to streamline operations and effectively tackle the longstanding challenge of reliability, ultimately ensuring seamless functionality. This approach leverages a range of reliability tools to provide sustainable, long-term solutions that maintain and enhance asset reliability. The framework employs a tiered assessment methodology, where non-critical systems undergo a Root Cause Analysis (RCA) to identify the underlying cause of the issue, while critical and chronic problems are subject to a more comprehensive data-driven assessment. The data-driven reliability assessment methodology incorporates RCA, supplemented by thorough data collection and a meticulous review of all relevant data, to support a detailed overall assessment. Furthermore, a Failure Mode, Effects, and Criticality Analysis (FMECA) is conducted to rank each identified failure mode by severity, occurrence, and detectability, producing a criticality matrix that guides resource allocation. Corrective actions are then developed, prioritized and classified as either immediate fixes or long-term improvements. The methodology emphasizes verification through post-implementation monitoring, ensuring that the measures effectively lower recurrence probability and boost compressor availability. The effectiveness of the framework is demonstrated through its application to a compressor chronic problem, highlighting the potential for significant improvements in reliability and availability.
Keywords:
Reliability,
Data-driven process,
Root cause analysis,
Availability,
Failure mode,
Compressor.
|
Qadeer Ahmed, 
PDF 