The next BriefingsDirect Voice of the
Customer Internet-of-Things (IoT) technology trends
interview explores how IT combines with IoT to help
create the refinery of the future.
We’ll now learn how a leading-edge petrochemical company in Texas is rethinking data gathering and analysis to foster safer environments and greater overall efficiency.
We’ll now learn how a leading-edge petrochemical company in Texas is rethinking data gathering and analysis to foster safer environments and greater overall efficiency.
Listen to the podcast. Find it on iTunes. Get the mobile app. Read a full transcript or download a copy.
To help us define the best of
the refinery of the future vision is Doug Smith, CEO of Texmark Chemicals in Galena Park, Texas, and JR Fuller, Worldwide Business Development Manager for Edgeline IoT at
Hewlett Packard Enterprise (HPE). The discussion is moderated by Dana Gardner, principal analyst at Interarbor Solutions.
Here are some excerpts:
Gardner: What are the top trends driving this
need for a new refinery of the future? Doug, why aren’t the refinery practices of
the past good enough?
Smith: First of all, I want to talk about
people. People are the catalysts who make this refinery of the future possible.
At Texmark Chemicals, we spent the last 20 years making capital investments in
our infrastructure, in our physical plant, and in the last four years we have
put together a roadmap for our IT needs.
Through our introduction to HPE, we have entered into a
partnership that is not just a client-customer relationship. It’s more than
that, and it allows us to work together to discover IoT solutions that we can
bring to bear on our IT challenges at Texmark. So, we are on the voyage of
discovery together -- and we are sailing out to sea. It’s going great.
Gardner: JR, it’s always impressive when a
new technology trend aids and abets a traditional business, and then that
business can show through innovation what should then come next in the
technology. How is that back and forth working? Where should we expect IoT to
go in terms of business benefits in the not-to-distant future?
 |
| Fuller |
Fuller: One of powerful things about the
partnership and relationship we have is that we each respect and understand
each other's “swim lanes.” I’m not trying to be a chemical company. I’m trying
to understand what they do and how I can help them.
And they’re not trying to become an IT or IoT company. Their
job is to make chemicals; our job is to figure out the IT. We’re seeing in Texmark
the transformation from an Old World economy-type business to a New World
economy-type business.
This is huge, this is transformational. As Doug said,
they’ve made huge investments in their physical assets and what we call
Operational Technology (OT). They have done that for the past 20 years. The people
they have at Texmark who are using these assets are phenomenal. They possess decades
of experience.
Yet IoT is really new for them. How to leverage that? They have
said, “You know what? We squeezed as much as we can out of OT technology, out
of our people, and our processes. Now, let’s see what else is out there.”
And through introductions to us and our ecosystem partners, we’ve been able to show them how we can help squeeze even more out of those OT assets using this new technology. So, it’s really exciting.
Gardner: Doug, let’s level-set this a little
bit for our audience. They might not all be familiar with the refinery business,
or even the petrochemical industry. You’re in the process of processing. You’re
making one material into another and you’re doing that in bulk, and you need to
do it on a just-in-time basis, given the demands of supply chains these days.
You need to make your business processes and your IT network
mesh, to reach every corner. How does a wireless network become an enabler for
your requirements?
The heart of IT
Smith: In a large plant facility, we have different pieces of equipment. One piece of equipment is a pump -- the analogy would be the heart of the process facility of the plant.
Smith: In a large plant facility, we have different pieces of equipment. One piece of equipment is a pump -- the analogy would be the heart of the process facility of the plant.
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| Smith |
Being able to have the information wirelessly right away -- that
gives us knowledge immediately that we wouldn’t have otherwise. We have workers
and millwrights at the plant that physically go out and inspect every single
pump in our plant, and we have 133 pumps. If we can utilize our sensors through
the wireless network, our millwrights can concentrate on the pumps that they
know are having problems.
To have the information wirelessly right away -- that
gives us knowledge immediately that we wouldn’t have otherwise.
Gardner: You’re also able to track those
individuals, those workers, so if there’s a need to communicate, to locate, to
make sure that they hearing the policy, that’s another big part of IoT and people
coming together.
Safety is good business
Smith: The
tracking of workers is more of a safety issue -- and safety is critical, absolutely
critical in a petrochemical facility. We must account for all our people and
know where they are in the event of any type of emergency situation.
Gardner: We have the sensors, we can link
things up, we can begin to analyze devices and bring that data analytics to the
edge, perhaps within a mini data center facility, something that’s ruggedized and
tough and able to handle a plant environment.
Given this scenario, JR, what sorts of efficiencies are
organizations like Texmark seeing? I know in some businesses, they talk about
double digit increases, but in a mature industry, how does this all translate
into dollars?
Fuller: We talk about the power of one
percent. A one percent improvement in one of the major companies is multi-billions
of dollars saved. A one percent change is huge, and, yes, at Texmark we’re able
to see some larger percentage-wise efficiency, because they’re actually very nimble.
It’s hard to turn a big titanic ship, but the smaller boat
is actually much better at it. We’re able to do things at Texmark that we are
not able to do at other places, but we’re then able to create that blueprint of
how they do it.
You’re absolutely right, doing edge computing, with our HPE Edgeline products, and gathering the
micro-data from the extra compute power we have installed, provides a lot of
opportunities for us to go into the predictive part of this. It’s really where
you see the new efficiencies.
Recently I was with the engineers out there, and we’re
walking through the facility, and they’re showing us all the equipment that
we’re looking at sensoring up, and adding all these analytics. I noticed something
on one of the pumps. I’ve been around pumps, I know pumps very well.
I saw this thing, and I said, “What is that?”
“So that’s a filter,” they said.
I said, “What happens if the filter gets clogged?”
“It shuts down the whole pump,” they said.
“What happens if you lose this pump?” I asked.
“We lose the whole chemical process,” they explained.
“Okay, are there sensors on this filter?”
“No, there are only sensors on the pump,” they said.
There weren’t any sensors on the filter. Now, that’s just
something that we haven’t thought of, right? But again, I’m not a chemical guy.
So I can ask questions that maybe they didn’t ask before.
So I said, “How do you solve this problem today?”
“Well, we have a scheduled maintenance plan,” they said.
They don’t have a problem, but based on the scheduled
maintenance plan that filter gets changed whether it needs to or not. It just gets
changed on a regular basis. Using IoT technology, we can tell them exactly when
to change that filter. Therefore IoT saves on the cost of the filter and the
cost of the manpower -- and those types of potential efficiencies and savings are
just one small example of the things that we’re trying to accomplish.
Continuous functionality
Smith: It
points to the uniqueness of the people-level relationship between the HPE team,
our partners, and the Texmark team. We are able to have these conversations to
identify things that we haven’t even thought of before. I could give you 25
examples of things just like this, where we
say, “Oh, wow, I hadn’t thought about that.” And yet it makes people safer and it
all becomes more efficient.
Gardner: You
don’t know until you have that network in place and the data analytics to
utilize what the potential use-cases can be. The name of the game is
utilization efficiency, but also continuous
operations.
How do you increase your likelihood or reduce the risk of
disruption and enhance your continuous operations using these analytics?
Smith: To answer, I’m going to use the
example of toll processing. Toll processing is when we would have a customer
come to us and ask us to run a process on the equipment that we have at
Texmark.
Normally,
they would give us a recipe, and we would process a material. We take samples
throughout the process, the production, and deliver a finished product to them.
With this new level of analytics, with the sensoring of all these components in
the refinery of the future vision, we can provide a value-add to the customers
by giving them more data than they could ever want. We can document and verify the
manufacture and production of the particular chemical that we’re toll
processing for them.
Fuller: To add to that, as part of the
process, sometimes you may have to do multiple runs when you're tolling, because
of your feed stock and the way it works.
By using advanced analytics and the predictive benefits of having all that data, we're looking to gain efficiencies.
By usingadvanced analytics, and some of the predictive benefits of having all of that
data available, we're looking to gain efficiencies to cut down the number of
additional runs needed. If you take a process that would have taken three runs and
we can knock that down to two runs -- that's a 30 percent decrease in total cost
and expense. It also allows them produce more products, and to get it out to people
a lot faster
Smith: Exactly. Exactly!
Gardner: Of course, the more insight that you
can obtain from a pump, and the more resulting data analysis, that gives you
insight into the larger processes. You can extend that data and information back
into your supply chain. So there's no guesswork. There's no gap. You have
complete visibility -- and that's a big plus when it comes to reducing risk in
any large, complex, multi-supplier undertaking.
Beyond data gathering,
data sharing
Smith: It goes back to relationships at Texmark.
We have relationships with our neighbors that are unique in the industry, and so
we would be able to share the data that we have.
Fuller: With suppliers.
Smith: Exactly, with suppliers and vendors.
It's transformational.
Gardner: So you're extending a common
standard industry-accepted platform approach locally into an extended process
benefit. And you can share that because you are using common, IT-industry-wide infrastructurefrom HPE.
Fuller: And that's very important. We have a three-phase project, and we've just finished the first two phases. Phase 1 was to put ubiquitous WiFi infrastructure in there, with the location-based services, and all of the things to enable that. The second phase was to upgrade the compute infrastructure with our Edgeline compute and put in our HPE Micro Datacenter in there. So now they have some very robust compute.
With that
infrastructure in place, it now allows us to do that third phase, where we're
bringing in additional IoT projects. We will create a data infrastructure with
data storage, and application programming interfaces (APIs), and things like
that. That will allow us to bring in a specialty video analytic capability that
will overlay on top of the physical and logical infrastructure. And it makes it
so much easier to integrate all that.
Gardner: You get a chance to customize the
apps much better when you have a standard IT architecture underneath that, right?
Trailblazing standards
for a new workforce
Smith: Well, exactly. What are you saying, Dana
is – and it gives me chills when I start thinking about what we're doing at
Texmark within our industry – is the setting of standards, blazing a new trail.
When we talk to our customers and our suppliers and we tell them about this refinery
of the future project that we're initiating, all other business goes out the
window. They want to know more about what we're doing with the IoT -- and
that's incredibly encouraging.
Gardner: I imagine that there are competitive advantages when you can
get out in front and you're blazing that trail. If you have the experience, the
skills of understanding how to leverage an IoT environment, and an edge
computing capability, then you're going to continue to be a step ahead of the
competition on many levels: efficiency, safety, ability to customize, and
supply chain visibility.
Smith: It surely allows our Texmark team to
do their jobs better. I use the example of the millwrights going out and inspecting
pumps, and they do that everyday. They do it very well. If we can give them the
tools, where they can focus on what they do best over a lifetime of working
with pumps, and only work on the pumps that they need to, that's a great
example.
I am
extremely excited about the opportunities at the refinery of the future to
bring new workers into the petrochemical industry. We have a large number of
people within our industry who are retiring; they’re taking
intellectual capital with them. So to be able to show young people that we are
using advanced technology in new and exciting ways is a real draw and it would
bring more young people into our industry.
Gardner: By empowering that facilities edge
and standardizing IT around it, that also gives us an opportunity to think
about the other part of this spectrum -- and that's the cloud. There are cloud
services and larger data sets that could be brought to bear.
How does
the linking of the edge to the cloud have a benefit?
Cloud watching
Fuller: Texmark Chemicals has one location,
and they service the world from that location as a global leader in dicyclopentadiene (DCPD) production. So the
cloud doesn't have the same impact as it would for maybe one of the other big oil
or big petrochemical companies. But there are ways that we're going to use the
cloud at Texmark and rally around it for safety and security.
Utilizing
our location-based services, and our compute, if there is an emergency -- whether
it's at Texmark or a neighbor -- using cloud-based information like weather, humidity,
and wind direction -- and all of these other things that are constantly
changing -- we can provide better directed responses. That's one way we would
be using cloud at Texmark.
When we
start talking about the larger industry -- and connecting multiple refineries
together or upstream, downstream and midstream kinds of assets together with a
petrochemical company -- cloud becomes critical. And you have to have hybrid
infrastructure support.
You don't
want to send all your video to the cloud to get analyzed. You want to do that
at the edge. You don't want to send all of your vibration data to the cloud,
you want to do that at the edge. But, yes, you do want to know when a pump
fails, or when something happens so you can educate and train and learn and
share that information and institutional knowledge throughout the rest of the
organization.
Gardner: Before we sign off, let’s take a
quick look into the crystal ball. Refinery of the future, five years from now, Doug, where
do you see this going?
Smith: The crystal ball is often kind of foggy,
but it’s fun to look into it. I had mentioned earlier opportunities for
education of a new workforce. Certainly, I am focused on the solutions that IoT
brings to efficiencies, safety, and profitability of Texmark as a company. But
I am definitely interested in giving people opportunities to find a job to work
in a good industry that can be a career.
As far as edge-computing goes, what we're seeing with our
converged Edgeline systems, which are our first generation, and we've created
this market space for converged edge systems with the hardening of it. Now, we’re
working on generation 2. We're going to get faster, smaller, cheaper, and
become more ubiquitous. I see our IoT infrastructure as having a dramatic
impact on what we can actually accomplish and the workforce in five years. It
will be more virtual and augmented and have all of these capabilities. It’s
going to be a lot safer for people, and it’s going to be a lot more efficient.
Gardner: JR, I know HPE has a lot going on
with edge computing, making these data centers more efficient, more capable, and
more rugged. Where do you see the potential here for IoT capability in refineries
of the future?
Future forecast: safe,
efficient edge
Fuller: You're going to see the pace pick
up. I have to give kudos to Doug. He is a visionary. Whether he admits that or
not, he is actually showing an industry that has been around for many years how
to do this and be successful at it. So that's incredible. In that crystal ball
look, that five-year look, he's going to be recognized as someone who helped
really transform this industry from old to new economy.
Listen to the podcast. Find it on iTunes. Get the mobile app. Read a full transcript or download a copy. Sponsor: Hewlett Packard Enterprise.
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