ASET Technology Alberta Summer 2022 - 16

GEOTHERMAL APPLICATIONS:
How C-FER Technologies helps
" It's a collaborative effort. It's an operator-only joint industry
project to improve ESP run life and reduce downtime, " she
says. " It's a really good way for the operators to discuss and
determine whether or not the technology is good for that application,
and have a lot of that knowledge sharing there. "
Within the walls of C-FER, Hill and her team have been performing
experimental testing on ESPs as well. " We've done
full-scale testing to look at things like power quality effects
on electrical submersible pumps, and high gas volume fraction
on electrical submersible pumps, " Hill says. Her team
have additionally investigated artificial lift methods (such
as those used by ESPs) for geothermal applications, an interesting
case of oil and gas technology being applied to a
separate field.
Machine learning is another tool with potential applications
in the ESP space. Hill's team has been looking at creating a
digital twin of sorts for a system, where processes can be
more safely tested in a simulated environment.
" Pulling in your production data in real
time, and being able to have that machine
learning try and predict your failures
[and] look at what you can do in terms of
optimization is pretty huge, " Hill says.
Cam Linke, CEO of Alberta Machine Intelligence Institute
(Amii) says that when it comes to AI/ML integration, now is
the perfect time for oil and gas players to hop aboard.
" There are larger competitive advantages from using the
data that they have, to be better at what they do overall, "
Linke says. In a world where increased attention is paid to
environmental, social and governance policies, he points out
that companies can leverage better algorithms and machine
learning platforms to improve processes without exorbitant
price tags attached.
" We're just at this really interesting time I'd say in every industry,
and certainly the oil and gas and energy industry is hitting
this, where you're seeing companies that are investing in machine
learning, and they're reaping the benefits of investing in
machine learning, " he says.
" Your competitors are doing it even if you're not, so not only
to improve operations, but also to keep up and keep competitive
in your industry, it's the opportunity to make the investment
in the machine learning space, " he continues.
Full-scale Corrosive
Environment Testing:
NACE, ASTM and
Fit-for-Purpose
Well Design and Optimization
for Subsidence Conditions
Thermal Cement Integrity
Evaluation and Risk Assessment
Thermal Connection Evaluation
Well Log Interpretation and
Casing Deformation Analysis
Scaling Control and Mitigation
High-Temp Artificial Lift Equipment
High-Temp Sand Control System
Hydraulic Fracturing /
Hydro-Shearing Evaluation
Certain technologies with oil and gas roots can find new uses in
renewable energy. Courtesy of C-FER Technologies.
Linke points out a number of ways AI/ML
can improve on existing O&G processes.
These range from better use of molecules,
to optimized transportation setups.
Another, predictive maintenance, would
mean less machine downtime. Then there's
anomaly prediction and detection, for
picking up and planning on rare events.
Amii also has a program called Reducing Emissions Through
Machine Intelligence (REMI), which aims to help organizations
with their emissions reduction strategies. Additionally there's
reinforcement learning, which can be used to continually improve
a system in the field as it takes in new information.
" This kind of end to end, closed-loop system that has a number
of actions that need to be taken throughout the process,
and being able to learn and optimize those processes and
continue to improve them as things play out over time, are
just some really interesting things that we're starting to [see]
deployed out there now, " Linke says.
16 | SUMMER 2022 | TECHNOLOGY ALBERTA

ASET Technology Alberta Summer 2022

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ASET Technology Alberta Summer 2022 - B Cover
https://www.nxtbook.com/dawson/aset/ta_spring_2024
https://www.nxtbook.com/dawson/aset/ta_winter_2023
https://www.nxtbook.com/dawson/aset/ta_fall_2023
https://www.nxtbook.com/dawson/aset/ta_summer_2023
https://www.nxtbook.com/dawson/aset/ta_spring_2023
https://www.nxtbook.com/dawson/aset/ta_winter_2022
https://www.nxtbook.com/dawson/aset/ta_fall_2022
https://www.nxtbook.com/dawson/aset/ta_summer_2022
https://www.nxtbook.com/dawson/aset/ta_spring_2022
https://www.nxtbook.com/dawson/aset/ta_winter_2021
https://www.nxtbook.com/dawson/aset/ta_fall_2021
https://www.nxtbook.com/dawson/aset/ta_summer_2021
https://www.nxtbook.com/dawson/aset/ta_spring_2021
https://www.nxtbook.com/dawson/aset/ta_winter_2020
https://www.nxtbook.com/dawson/aset/ta_fall_2020
https://www.nxtbook.com/dawson/aset/ta_summer_2020
https://www.nxtbook.com/dawson/aset/ta_spring_2020
https://www.nxtbook.com/dawson/aset/ta_winter_2019
https://www.nxtbook.com/dawson/aset/ta_summer_2019
https://www.nxtbook.com/dawson/aset/ta_spring_2019
https://www.nxtbook.com/dawson/aset/ta_fall_dec2018
https://www.nxtbook.com/dawson/aset/aset55anniversary
https://www.nxtbook.com/dawson/aset/ta_spring_2018
https://www.nxtbook.com/dawson/aset/ta_winter_2018
https://www.nxtbook.com/dawson/aset/ta_fall_2017
https://www.nxtbook.com/dawson/aset/ta_spring_2017
https://www.nxtbook.com/dawson/aset/ta_winter_2017
https://www.nxtbook.com/dawson/aset/ta_fall_2016
https://www.nxtbook.com/dawson/aset/ta_summer_2016
https://www.nxtbook.com/dawson/aset/ta_spring_2016
https://www.nxtbook.com/dawson/aset/ta_winter_2016
https://www.nxtbook.com/dawson/aset/ta_fall_2015
https://www.nxtbook.com/dawson/aset/ta_summer_2015
https://www.nxtbook.com/dawson/aset/ta_spring_2015
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