Exploring visual asset management collaboration: Learning from the oil and gas sector

Visual Asset Management (VAM) is defined as a collaborative and cloud-based database application for projects' sharing, viewing and publishing. VAM provides a platform that contains multiple visual data sources of an infrastructure project, including Building Information Models, documentations and 360° photographic images that can be used for providing the user with a desktop visual walk-through and familiarization of remote assets.  Its implementation for project planning and asset management can enable added value and strategic collaborative decisions. Therefore, this research presents a novel framework for VAM that built asset stakeholders can apply to maximize project value, support decision making during infrastructure project development as well as for the operation of built facilities. Due to the increasingly complex nature of projects in terms of size, information technology and security, realizing the benefits of VAM would require a learning process for all stakeholders involved in procuring and managing assets. This paper presents useful direction towards achieving stepped learning for asset value maximization and operation efficiency using VAM framework.