Optimizing lift operations and vessel transport schedules for disassembly of multiple offshore platforms using BIM and GIS
MetadataShow full item record
Funding and Sponsorship
As the coming decades will witness a big trend in the decommissioning of offshore platforms, simultaneously disassembling topsides of multiple offshore platforms is getting increasingly common. Considering high risk and cost of offshore operations, module lift planning among multiple offshore platforms with transport vessels is required to be carefully conducted. The lift planning usually contains two main parts: module layout on vessels planning and vessel transport schedules arrangement. In contrast to the current experience-driven module lift planning, this paper formulates the lift planning optimization problem and develops a web system integrating building information modeling (BIM) and geographical information system (GIS) to efficiently disassemble topsides for multiple offshore platforms. BIM provides detailed information required for planning module layout on vessels and GIS contains the management and analysis of geospatial information for the vessel transport schedule arrangement. As for module layout optimization, three heuristic algorithms, namely genetic algorithm (GA), particle swarm optimization (PSO), and firefly algorithm (FA) are implemented and compared to obtain the module layout with the minimum total lift time. While for vessel transport schedule, graph search technique is integrated with a developed schedule clash detection function to obtain the transport schedule with the minimum sailing time. The proposed optimization algorithms and techniques are integrated into a developed BIM/GIS-based web system. An example of three offshore platforms with eighteen modules in total is used to illustrate the developed system. Results show that the developed system can significantly improve the efficiency of lift planning in multiple topsides disassembly. The developed BIM/GIS-based web system is also effective and practical in the resource allocation and task assignment among multiple locations, such as construction sites, buildings, and even cities.
Showing items related by title, author, creator and subject.
Tan, Y.; Song, Y.; Liu, Xin; Wang, X.; Cheng, J. (2016)© 2017 Elsevier B.V.Offshore oil and gas platforms (OOGPs) usually have a lifetime of 30-40. years. An increasing number of OOGPs across the world will be retired and decommissioned in the coming decade. Therefore, a safe ...
A semi-automated approach to generate 4D/5D BIM models for evaluating different offshore oil and gas platform decommissioning optionsCheng, J.; Tan, Y.; Song, Y.; Liu, Xin; Wang, Xiangyu (2017)Background: Offshore oil and gas platforms generally have a lifetime of 30 to 40Â years, and platform decommissioning is a major issue because many of the existing offshore oil and gas platforms are reaching the end of ...
Liu, J.; Hou, L.; Wang, Xiangyu (2014)Productivity is critical to large and complex capital projects in sectors like infrastructure and resources. It normally relates to a significant scheduling issue when pursuing both time and cost objectives. A poor planning ...