Development of a hybrid seismic data inversion method for determining well-drilling location at complex geophysical area - Year two

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 new research results in seismic inversion, the success rate of hydrocarbon prediction, the theoretical basis for well placement can be provided in Roncott field, which will improve the success rate in drilling.

Development and application of molecular tools to assess the acute and chronic impacts of petroleum hydrocarbons on birds - Year 2

The Northern Gateway Pipeline and similar projects propose to transport oil from Alberta to tidewater terminals in British Columbia and eastern Canada. Accidental release of petroleum distillates and related by-products would have consequences on the marine ecosystem. To evaluate spill implications for seabirds, we propose to develop and apply molecular tools to assess toxicological and health endpoints in selected seabird monitoring species, using a combination of laboratory and field research.

Enhanced Techniques for History Matching and Forecasting of Petroleum Reservoir Data

History matching refers to calibrating numerical or analytical models by the observed data. However, this task can be very challenging in presence of complex geology and/or many unknown data .
The purpose of this project is to introduce and apply the new techniques for efficient creation of predictive history-matched models for reservoir characterization of conventional and unconventional reservoirs, which can be used for probabilistic forecast and uncertainty quantification.

Emissions control and reduction for natural gas engines

The use of natural gas as a fuel for on-road commercial vehicles offers significant benefits, including lower greenhouse gas emissions. Methane, the main component of natural gas, has many virtues as a fuel. However, its stability makes it harder to react in an engine. This introduces two challenges: first, an ignition source is needed to start the combustion (unlike diesel, which is self-igniting), and second, it is hard to remove any left-over methane from the exhaust. This internship will help to address both these factors.

An Integrated model of Geomechanics and a Multiporosity Reservoir Simulator to Investigate Improved Recovery Techniques in Shale Reservoirs

Shale reservoirs have become a very important source of hydrocarbons, especially in North America. Shales are rocks with very low permeability and therefore, produce the hydrocarbons stored in them is difficult. In order to do it, oil companies have to inject high pressurized fluids to break the rock. But, by using this unique strategy, most hydrocarbons are being left in the subsurface. This work aims to use mathematical and numerical models to investigate different methods that can lead to recover a bigger portion of the hydrocarbons stored in shale reservoirs.

Construction of a Numerical Model for Hydraulic Fracture Propagation in Multiple-Porosity Shale Petroleum Reservoirs

Shale reservoirs store gigantic volumes of petroleum (oil and gas). However, because of the complex nature of the reservoir rock, it is difficult to recover the oil and/or gas stored in shales. Under normal conditions, it is possible to extract only as much as 10% of the resources in place, thus leaving behind a huge potential that promises to satisfy the energy needs of Canada for several decades.

Nordegg Member source rock quality and Early Jurassic ocean redox conditions based on core analysis and organic/inorganic geochemistry

Unconventional shale gas has become a common source of hydrocarbons in the past few decades with advances in extraction techniques such as hydraulic fracturing and horizontal drilling. Many hydrocarbon-bearing rocks that were once unobtainable are now available for oil and gas production; the Nordegg Member in northeastern British Columbia is one of these rocks units. Our project will involve characterising the Nordegg Member’s geological structure and geochemistry, as well as performing economic interpretations to assess the future exploration plans within the unit in the near future.

Development of an integrated microfluidic technology platform to assess fluid parameters at reservoir-relevant conditions

Recovering oil from underground reservoirs carries environmental and financial risks that can be minimized with prior knowledge of what fluids are there and how to efficiently extract them. Currently, fluid flow behaviour can be measured at reservoir conditions in large pressurized vessels capable of up to 150 atmospheres and 300°C, but measurements can take weeks to complete. As an alternative, Interface Fluidics is developing a miniaturized pressure vessel where fluid behaviour can be completely visually mapped in under a day and at comparatively low cost.

Human factors in drilling automation

The efficient utilization of automation systems necessitates a clear understanding of the interaction of the human operator, the automation system and any automated routines being run. Precision Drilling is installing the newest generation of drilling automation control systems on their fleet of rigs and wishes to understand both the interaction of the human driller with the automation system by creating a monitoring application which will record all human inputs to the system as well as catalog the routine or operation the automation system executes during a normal drilling operation.

Validating and improving predictive models using spectral reflectance measurements for the estimation of Methylene Blue Index of soft tailings

Annually, large number of tailings samples are collected by operators and sent to laboratories for measurement of Methylene Blue Index (MBI). This procedure is costly, time-consuming, and results are a function of the methods used and personnel expertise. In prior research we developed predictive models for the quick and consistent estimation of tailings MBI from hyperspectral measurements using a limited number of dry samples.

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