A data-driven decision model: A case study on drawworks in offshore oil & gas industry

Abstract

Offshore installations are complex and need to be maintained properly to sustain expected performance. Critical failures on these installations could pose great threats to productivity, personnel safety, and the environment. The research is designed to suggest some practical solutions for improving decision quality and reliability. During operation and maintenance (O&M) activities, much data are collected, and it is believed that making full use of them has great potential for improving production efficiency, as well as for reducing risks. Drawworks is studied to elaborate a data-driven methodology. The research suggests some practices for identifying and using critical data sets as a driving force to improve decision-making. Both qualitative and quantitative analysis are used during the study. Competence management is also studied as a necessary part of the data-driven decision-making setting.