Thanks for attending the session and welcome
my name is Megan Bontain from Seeq and I'm pleased to be joined today by Don Morrison
from Devon Energy to speak about
accelerating industrial analytics Seeq is advanced
analytics for purpose built for time series data the
data that process manufacturers worldwide
use to improve operational performance Seeq
empower subject matter experts with access to operational data
to generate insights and really to increase
the time to insight and impact the types of impacts that
manufacturers using Seeq and Microsoft are having
improve asset reliability production optimization
yields and profitability Seeq powered by Microsoft Azure enables
operators process engineers and data scientists
to truly collaborate together with access to
manufacturing data in systems like OSIsoft Pi
or Aspen Tech IP21 iot data in Azure databases like Azure data
explorer or Azure time series insights as well as contextual data and business
systems data seek also has robust integration with
Power BI and Power Platform to enable business
workflows organizations like Devon Energy are
using Seeq and Microsoft today to transform the way work is done to
build more agile production and to truly unlock cultures of
innovation and with that i'm pleased again to
welcome Don Morrison to share his insight on Devon's journey to
industrial analytics Don. Thanks Megan, yeah Devon energy is an
upstream oil and gas company based in Oklahoma City, Oklahoma
our job is to extract oil and natural gas from the ground
and get it to the market for use now we have a large operating
area we span southern Texas all the way up into the northern Rockies
over the last few years we've really improved our culture of innovation and
how we leverage data for daily decision making you know much better than we have
in the past now we generate a lot of data we've got
about six million data points in our system uh with an average of about ten
thousand new updates every second so we've got a high speed and complex
system and getting data to all those users is a challenge so
you know Seeq helps us by connecting directly to our enterprise data
historian and helps us to reduce our data
management issues that we may have experienced in the past
you know when we were copying real-time data maybe into SQL tables or into data
lakes um and that data can sometimes get you
know out of sync and then your support and administrative staff
need to spend time managing data sets instead of
you know helping users solve problems and that's just not a situation we want
to be in so Seeq really helps us to kind of get rid of those issues
and operate on our data in place and kind of expose real-time data
you know to our users without really any administrative overhead
the other thing Seeq does for us is it kind of helps us go from
our problem identification to a solution you know in a much smaller time frame
than than maybe in the past Seeq's a very visual platform with a
large set of mathematical and analytical tools we can give that to
an engineer or a subject matter expert they're going to know their data they're
going to know their process very very well
and they can usually find an initial solution space very quickly usually like
in a matter of hours now in the past if you look how we would
do like an analytic solution we would have a development team and an
engineering team come together and have a project kickoff meeting
you know development would go off and kind of do their thing we'd come back
a couple weeks later um engineering might say
hey maybe we made some bad assumptions or these this didn't do what we thought
it was going to do so let's let's tweak this or change that
development will go off and you'll kind of iterate through that process you know
a bunch of times it might be six or eight or maybe even
10 weeks before you kind of have a converged
solution that everybody's kind of happy with
with Seeq we've seen that time frame shortened
a lot so it might be you know you give that to an engineer and he can work
through those assumptions and edge cases and get to his initial solution within
a number of hours maybe a number of days so you kind of take that you know
weeks or months and and push that down to
to a day's uh kind of time frame which is which is really great
and then from there you know development can come alongside the engineer and help
them scale that solution and Seeq from maybe one asset to many assets
uh maybe to much larger time frames um and uh
and Seeq helps you to do that you know very easily so that's kind of a couple
of ways Seeq has really just kind of become naturally become part of our
uh root cause analysis and our our daily engineering workflow
thanks Don we really appreciate you sharing this story
we see Devon and so many other manufacturers
across the world really becoming data-driven decision
organizations and so it's fantastic to hear how you scaled that up with your
team so everybody thank you for watching um
if you'd like to learn more please feel free to visit the resources
on seeq.com you can also learn more about Seeq
including products demonstrations by finding Seeq on Azure
marketplace thanks again and please enjoy the rest
of the event