Knowledge Engineering and Ontological Studies
EIL members developed methods and tools for tackling the processes of knowledge acquisition and ontological engineering. Some of the tools developed include the Knowledge Modeling System, Dyna, and Onto3DViz, which are based on the theoretical framework of the Inferential Modeling Technique. With funding from NSERC and the Canada Research Chair programs, the tools and methods have been used for developing knowledge models and ontologies in the domains of selection of remediation technology for petroleum contaminated sites and monitoring of (i) a natural gas pipeline system, (ii) a water distribution system, and (iii) a petroleum production system. This work addresses foundational issues in the fields of knowledge and ontological engineering.
Artificial Intelligence Applications for Clean Energy Production and Utilization
EIL members developed and applied Information Technologies for solving specific problems in the petroleum industry. The systems developed include: (i) an expert system for monitoring, control, and diagnosis of an oil production plant, (ii) decision support systems that employ Artificial Intelligence approaches for predicting petroleum production, (iii) a fuzzy logic controller for the petroleum separation process system, (iv) a probabilistic decision support system for selection of a remediation technology for petroleum-contaminated sites, and (v) automated process control systems for the in-situ bioremediation system for treating petroleum contamination, which adopt: (a) a multi-objective optimization approach, (b) a model-based predictive control approach, and (c) a knowledge-based reasoning enhanced approach. Some of these systems have been tested with industrial data and received favorable assessment from the industrial and research partners. EIL members have also conducted research and development work in other areas of energy production including natural gas pipeline distribution, electricity load prediction, water distribution, and carbon dioxide capture. The research investigations involve applications of artificial intelligence technologies for building monitoring, control and diagnosis systems and process models. This work has been supported by grants from NSERC (Strategic Projects, Discovery, and Equipment), Canada Research Chair program, Petroleum Technology Research Centre, Telecommunications Research Laboratory, SaskEnergy/Transgas, SaskPower, and petroleum companies.
Development of Knowledge-Based Systems for Environmental Engineering
Research and development related to constructing decision support systems for environmental systems analysis have been ongoing at EIL since its establishment in 1995. The problems tackled include solid waste management, water and air pollution mitigation, petroleum contamination remediation, and carbon dioxide removal from gases. Some of the decision support systems constructed include systems for: (a) selection of chemical solvents for removal of carbon dioxide from gases, (b) selection of landfill locations in the City of Regina, (c) industrial water pollution control, (d) air pollution control at coal-fired power plants, and (e) classification of contaminated soil. The research program has been supported with grants from NSERC (Strategic Projects and Discovery) and Canada Research Chair programs.