Optimized joint interpretation of many different datasets using BIM methodology combining CoClass and GeoBIM

Abstract

Summary In any project careful data management is one of the core issues, certainly in long on-going projects. In projects trying to understand the contamination situation the number of different datasets is often large and of many different data types. On a former gasworks facility in a railway yard, in Bracke in Sweden, many different methods were used, aiming at understanding the spread of primarily tar and PAH contaminants. Some of the methods were geotechnical sounding and sampling, chemical laboratory tests and DCIP. From the start a BIM methodology was chosen to ensure good order of the data also in the longer perspective. The GeoBIM tool was used for data management and for visualization of both data and geomodels using only a web browser, allowing all involved stakeholders to get access to the same information. For allowing not only visual joint interpretation but also automated and advanced comparisons and analyses of the whole data set all data was classified in the CoClass system. CoClass is a hierarchical system allowing computers to sort and analyze data according to a standardized system. The BIM approach applying CoClass on the data managed by the GeoBIM concept clearly improved the ability of analyzing the data.