This project is designated to the development of information and communication systems for advanced irrigation systems. An optimal wireless network planning algorithm will be developed to select the optimal locations for relay station placement at a minimum cost. Due to the potential GPS measurement errors in the irrigation area, robust optimization technique will be applied […]

This research will investigate use of calcium oxide treated straw (CaOS) to increase fibre levels in wheat-based feedlot cattle finishing diets. In vitro total gas production will be measured to determine the ideal treatment protocol for creation of CaOS. Further in vitro work will compare fibre digestibility of CaOS to untreated straw, barley silage and […]

Recent developments in process industry as well as tight environmental discharge regulations required industries to recycle water which means removing contaminants and send it back to the process. Conventional treatment systems consume energy with large carbon footprint. Canadian economic movement towards decarbonization has lead us to focus our research on the development of a material […]

This project aims to operationalize innovative methods for developing cost effective wetland inventories across Alberta by use of numerous sources of remote sensing data, namely light detection and ranging (LiDAR), synthetic aperture Radar (SAR), and optical imagery. The project will formalize a mapping specification, develop training and validation datasets (available in-kind from the academic supervisor […]

Due to the current economic downturn, especially the lower crude oil price, the drilling success rate become the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Deep Treasure Corp wishes that through the combination of mature hydrocarbon prediction techniques and […]

A critical issue in the oil and gas industry is to quantify the composition of fluids flowing back from the hydraulic fracturing process. This quantification is usually carried out by a manual process (frequently via a visual test) to estimate the water and oil produced from a well flow back process. A sample of these […]

Analytics is about awareness of the states of knowledge of users. Users can become aware of their owns states of knowledge at different levels. Analytics measures such levels of each user, and engages them in taking initiatives to hop from one knowledge state to the next. The hops happen mostly gradually, depending on the capacity […]

Amid the tough challenge of dwindling oil prices, GE is seeking for new technology to create production forecasting and optimization tools that simulate the real operating environments and optimize across the entire process, providing actionable insights that help producers achieve their cost, production, and environmental goals. The objective of this project is to develop data […]

Getting a new drug from the laboratory into the market is a lengthy and costly process which takes on average 12 years and over US$350 million to accomplish. It is composed of roughly 3 phases: (1) pre-clinical research, (2) clinical studies, and (3) the new drug application review. In this work, we propose an artificial […]

Protected areas naturally attract conservationists keen to preserve pristine environments. Hospitality companies exploit these areas to expand tourism. Private interests are often supported by lobby groups such as chambers of commerce and hotel associations. Between the conservationists and private sector owners are the employees that provide essential services from chambermaids to bartenders who mostly earn […]

Current Computational Pipeline Modeling based leak detection systems can not accurately predict the leaks in the pipeline when crude oil goes though phase change (column separation) along the 100s of kms long pipeline (due to hills and valleys). The objective of this project is to gain fundamental insight into the two phase gas-liquid flow physics […]

Degradation assessment for critical assets in power generation has great significance for power industry. Existing degradation assessment models failed either in combining the multimodal condition monitoring data or in removing time-varying working condition influences, resulting in inaccurate and/or unreliable degradation assessment results. In order to achieve robust and accurate degradation assessment for power generation critical […]