Technical integrity management: measuring HSE awareness using AHP in selecting a maintenance strategy

The purpose of this paper is to provide a comprehensive overview of technical integrity management (TIM) and propose a methodology for assessing to which extent the technical integrity (TI) performance is balanced in terms of goal awareness among the personnel responsible for TIM, and the degree to which high level goals are implemented in maintenance strategies.

The study involved a comprehensive literature survey as well as information and data collected in the Norwegian oil and gas (O&G) industry. Several discussion rounds were carried out with the industrial maintenance management experts to recognize the existing practices and to confirm the suggested model.

The literature review indicated that there is a need for a methodology for assessing to which extent the technical integrity (TI) performance is balanced in terms of goal awareness among the personnel responsible for TIM, and the degree to which high‐level goals are implemented in maintenance strategies. The suggested model can incorporate industrial data as well as intentions, intuitions and experiences of industrial experts who are making decisions sensitive to TI of a production installation.

The study has been conducted in relation to TIM of production installations on the Norwegian Continental Shelf (NCS). The study is limited to measuring TI performance in relations to experts' awareness.

The study stresses the need for improving synergy between the TI and maintenance management function. It proposes a methodology to measure to which extent organizational priorities are balanced, while addressing financial as well as health, safety and environmental (HSE) interests when selecting a maintenance strategy.

This paper addresses a problem that is not given enough attention in the currently available literature. Available approaches suggest models and frameworks for measuring integrity performance. However, the operationalization of most of the existing models and frameworks, remains vague. Instead a formal mechanism is needed to analyze the gap between the present performance and performance targets.