The results indicate that relatively simple features increase original model creation time, but increase feature reuse during alteration.
Therefore, in this study, a semi-automated 4D/5D BIM model creation approach was proposed to reduce the model creation time.
Using an appropriate set of features for building predictive models proves important to not only model creation time, but performance as well.
With the created 4D/5D BIM models, Rig-to-Reef and Removal-to-Shore options and their methods can be clearly visualized, and the model creation time was reduced.
A similar plot for the solubility dataset where the prediction was made using ChemAxon's solubility predictor [33] is included as Additional file 1. Fig. 4 Learning curves and model creation time for the solubility dataset.
A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming.
The proposed approach of semi-automated 4D/5D BIM model creation can help understand the implication of different decommissioning options as well as applied methods, detecting potential lifting clashes, and reducing 4D/5D BIM model creation time, leading to better planning and execution for the decommissioning of offshore oil and gas platforms.
LIBLINEAR was much faster but even though the two black curves seem to converge there is a difference between them that in many cases probably is relevant, especially so at these small dataset sizes Fig. 5 Learning curves and model creation time for the logD dataset.
In their model, certificate creation time slightly rose as the number of bits increased.
In the region below the publication information, a link provides access to the file originally submitted, as well as information about the encoders and the dates and times of model creation and last modification.
