Puts every piece of equipment into one reliability taxonomy so that failure rates mean the same thing across all fields, and maintenance is planned from them.
Two fields in the same company report pump reliability differently because they classify equipment, failure modes and criticality differently. Comparing them is impossible, so capital and spares are allocated by argument rather than by evidence.
Equipment registers and maintenance history are mapped onto the ISO 14224 taxonomy — equipment class, boundary, failure mode, failure mechanism — with the mapping reviewed by the reliability engineer rather than accepted automatically. Reliability statistics and remaining-life models are then computed on that common basis and used to set maintenance intervals.
Mapping a legacy maintenance history to ISO 14224 is a substantial manual effort; typically forty to sixty per cent of historical work orders lack enough detail to classify the failure mode, and no automation recovers information that was never written down. Those records are marked unclassified rather than assigned a plausible mode, which keeps the statistics honest and makes the gap visible.
كل صفحة قدرة تذكر حداً حقيقياً. إن لم يستطع المورّد إخبارك أين يتوقف منتجه، فلم يُقل لك الحق عن أين يبدأ.
Listens to pumps, compressors and turbines continuously and identifies the specific defect — bearing, imbalance, misalignment, looseness — from the vibration signature.
Connects the platform’s predictions to the systems that actually create work orders and order parts, so an alert becomes a scheduled job.
Establishes one authoritative record per well that every other system agrees with, including a single answer to how deep it is and where the top of the reservoir sits.
Watches the downhole pump’s electrical and pressure signature to warn of gas lock, wear or burnout before the well stops.
Allocates a fixed inspection budget to the equipment where failure would hurt most and is most likely, with the reasoning written down.