Alasdair J G Gray

Connecting the dots in the World's data

New Journal Paper: Offshore decommissioning waste assessment

In this paper we use data about off shore oil platforms to identify items that have the potential for reuse or recycling. We do this by integrating their histroic design data and mainenance logs based on the ISO 15926 standard.

  1. Data integration for offshore decommissioning waste management

    Abstract: Offshore decommissioning represents significant business opportunities for oil and gas service companies. However, for owners of offshore assets and regulators, it is a liability because of the associated costs. One way of mitigating decommissioning costs is through the sales and reuse of decommissioned items. To achieve this effectively, reliability assessment of decommissioned items is required. Such an assessment relies on data collected on the various items over the lifecycle of an engineering asset. Considering that offshore platforms have a design life of about 25 years and data management techniques and tools are constantly evolving, data captured about items to be decommissioned will be in varying forms. In addition, considering the many stakeholders involved with a facility over its lifecycle, information representation of the items will have variations. These challenges make data integration difficult. As a result, this research developed a data integration framework that makes use of Semantic Web technologies and ISO 15926 - a standard for process plant data integration - for rapid assessment of decommissioned items. The proposed solution helps in determining the reuse potential of decommissioned items, which can save on cost and benefit the environment.

    Akinyemi, Abiodun G. and Sun, Ming and Gray, Alasdair J. G.

    Automation in Construction, 109:103010, Elsevier, 2020

About Me


I'm an Associate Professor in Computer Science at Heriot-Watt University. My research focuses on linking datasets. Read more