Decision Support for Dynamic Barrier Management for Offshore Operations

Abstract

Effective safety barrier management is a fundamental principle for prevention and mitigation of major accidents in offshore drilling and production operations. Barrier management methods such as bow tie diagrams are commonly used for identifying safety barriers in the development of safety case documentation and the performance of major accident risk assessments. In addition to such applications for establishing design baselines for offshore installations, some organizations are taking safety barrier management into the operational regime by establishing measures for assessing barrier health and assigning barrier owners to ensure that barriers are continuously maintained. The next step in effective safety barrier management is to develop and implement methods to continuously monitor barriers in real time and provide decision guidance for operations, maintenance, and management personnel regarding actions to be taken when barriers are degraded or failed. A systematic approach has been developed by DNV GL for identifying information requirements for dynamic barrier management, instrumentation or other sources of data for providing that information, decision criteria for determining when barriers are degraded or failed, and guidance for actions to be taken to restore degraded barriers and to prevent major accidents and mitigate their consequences. The resulting information framework can be used to support communication, consensus, decision making and action across technical disciplines and organizational boundaries. This paper summarizes the approach for the development of decision support tools for dynamic barrier management, and insights gained from application of the approach to offshore production and drilling operations with multiple industry partners. In addition, the paper summarizes industry research and development activities that are needed for effective implementation of dynamic barrier management in the offshore oil and gas industry.