Enabling operational excellence through the effective management of master data

Abstract

Many organisations in the industry have a constant struggle with managing oil and gas master data effectively to enable operations and maintenance to be carried out efficiently and safely. Poor data quality costs organisations time and money, and increases risks of production downtime. This results in inefficiencies, rework, and sub-optimal decision support. In this extended abstract, the authors provide insight from their experience into overcoming many years of poor data quality that impact ability to analyse maintenance reliability data that can effectively drive efficiencies and reduce outages caused through breakdowns. Insights includes insights from a global fact-finding mission, analysing the big data management of large oil and gas and related companies around the world – with valuable lessons in understanding why these types of data projects fail so often. Challenges include finding where and why data quality is in an unreliable state, and additionally, how to allow cleansed and new data to remain clean and effective and promote efficiency. Other challenges include changing organisation behaviour to value data, and providing streamlined processes to sustain data quality.