Building modeling library and automated generation of MFM models from plant documents

Jing Wu and Sharat Kumar Pathi

Jing

MFM as a functional model has the potential to serve as a basis for design or operation of a plant. However, it takes a major effort to create such a model, since it requires both configuration and operation knowledge. Industrial application of MFM models is highly dependent on effective methods for model building. Current model building is supported by graphical editors and reasoning systems which are used to capture and validate model information. But constructing the model is essentially a manual process which requires knowledge of MFM concepts and theory and experience in model building. This approach to model building has been adequate for research purposes, but from an industrial perspective it is both ineffective and risky.

Sharat

Therefore, the purpose of the project is to develop an MFM modelling library applied for offshore oil and gas platforms and to work towards developing a methodology for computer supported generation of MFM models from plant documents. It is considered a key factor in the industrialisation of MFM methods and is accordingly of significant importance for the AlarmTracker project and for exploitation of results from the Water Management project. The project provides the basis for a more extensive future effort and link into the Kairos Workbench editor developed by Kairos Technology.