The drilling success rate is 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 Petro-Lin Energy Corp. wishes that through the combination of mature hydrocarbon prediction techniques and new research results such as machine learning, the success rate of hydrocarbon prediction, the theoretical basis for well placement can be provided in Roncott oil-field, which will improve the success rate in drilling.
In the upstream pipelines, the application of the internal pipeline coatings with specialized polymer has been utilized to protect pipeline from corrosion and abrasive wears. The coatings are rearranged or re-lined when the coating wears out. However, there is no direct and continuous monitoring for the integrity of internal pipeline coatings. Thus the rearrangement or re-lining of the coating is performed pre-emptively before fully utilizing the coating. It is required to develop a novel technique, not only for the efficiency but also to prevent pipeline leakage.
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.
An aneurysm is a balloon off a blood vessel in the brain, that could potentially bleed resulting in devastating consequences for the patient. Brain aneurysms a common, and are present in up to 7% of the general population. Traditional treatment of complex brain aneurysms involves placing a metal “flow-diverting” stent across the neck of the aneurysm, leading to redirection of blood flow away from the aneurysm dome. Bioabsorbable flow-diverting stents have only recently been developed by Fluid Biotech Inc. as a novel way to treat brain aneurysms.
Foamy oil behavior is a unique phenomenon associated with cold production of heavy crude oils. It is believed that the foaming mechanism has a significant impact on the abnormally high production rate of viscous crude oils observed in many heavy oil producing reservoirs through solution gas drive.
Due to the non-equilibrium nature of the foamy oil flow, the mathematical modeling of this process involves few challenges. The main non-equilibrium process exist between solution gas and free gas that leads to a significant supersaturation of dissolved gas in the oil phase.
In an effort to ensure pipelines continue to operate in a safe condition, various inspections and assessments are completed on a continual basis during their operating lifespan. These assessments include radiographic or ultrasonic examinations, forms of non-destructive examination (NDE), of circumferential girth welds formed between multiple pipe sections.
Offshore petroleum exploration requires a multitude of techniques to identify a petroleum system in an offshore area. Novel microbiology technologies which focus on the distribution of marine microbes (microbial biogeography) have been proposed as complementary tools to conventional techniques for oil and gas exploration. Hydrocarbon seepage from subsurface petroleum reservoirs is hypothesized to explain the transport of thermophilic bacterial endospores, i.e. “thermospores”, to cold seabed sediments.
The aim of this proposed research is the development of an efficient technology to convert carbon dioxide (CO2) via Dry Reforming of Methane (DRM) to produce value-added products. DRM, one the promising CO2 utilization technologies, has gained much attention as not only it reduces greenhouse gases (GHG), but also converts them to a valuable product, syngas. There are two main knowledge gaps associated with DRM process, which hinders the industrial application: 1. Catalyst deactivation, and 2. The high energy requirement for the CO2 conversion reaction.
A key factor to deliver reliable intelligent vehicles is the proper exploitation of data gathered from the different sensors equipping the vehicle. To do so, a data fusion algorithm is applied. However, the reliability of the sensors can change (for example due to weather conditions), therefore, a solution to evaluate the quality of the data gathered from each sensor must be investigated, to automatically adapt the data fusion algorithm and avoid the use of less reliable sensors or credible data or information these sensors provide directly or they derive through processing techniques.
Modern roundabouts have become a subject of great interest and attention over the last few years considering their potential to reduce vehicular delay & emissions and increase safety. The objectives of this study to examine the short- and long-term benefits performance of roundabouts from a multi-modal perspective. Using real observed data from vehicular traffic, pedestrians, cyclists and transit vehicles and complementing it with microsimulation data, this research will assess the delay, environmental impacts and safety of a network of three roundabouts.