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“We simulate this movement from the injector to the producer,” Yuan said.

Through such a simulation, he said, optimal injection pump rates can be determined.

Currently, some commercial simulation software tries to replicate what his program does, but the results are not the same, he said.

“They mainly focus on the whole field and they cannot very accurately capture the very detailed fluid dynamics between the solvent and oil.”

The data provided by his software, Yuan said, is capable of providing much more accurate simulations. As such, he hopes it can be coupled with commercial software for field testing in the future.

Currently, no field testing has been done using the software. However, Yuan is confident that it can and will produce real-world results.

“The results show that we can improve the heavy oil recovery by about 20 to 30 (per cent),” he said.

The software was primarily developed to assist in oil extraction, but Yuan says it might have future value in other areas.

For instance, in the case of a significant chemical spill, Yuan’s algorithm could potentially provide information valuable to public safety.

With some tweaking, Yuan feels his program could help predict not only what path a chemical might take after it seeps into the ground, but also how long it would take to reach a source of drinking water.

Yuan began working on the software in April 2016. His work on the software earned him the Mitacs Award for Outstanding Innovation.

Mitacs is a national, not-for-profit organization that works at building partnerships to promote research.

bharder@postmedia.com