Information Technology

Title: Digitalisation at Pennsylvania Chemicals

Duration: 1:07 minutes

Description: A case study showing how Shell is using digitalisation to make construction more efficient.

 [Text displays]

Construction of the Future

Interview with Ed Cadena

Technical Integration and Assurance Manager

Here at Pennsylvania Chemicals, we have the opportunity to be the plant of the future.

Continued panning aerial footage of the Pennsylvania Chemicals plant under construction.

Interview with Lauren Schwartz

Rotating Equipment Engineer

The more data we have, the smarter we have to get about managing it.

Lauren Schwartz Rotating Equipment Engineer

Interview with Ed Cadena continued

Everything at a site is located by an equipment tag.

Find’All uses that as the basis to connect all the different databases. We have complete accountability over three million documents and equipment tags on this site.

Interview with Lauren Schwartz continued

Now, I can go to the tag number for my equipment and immediately find exactly what I’m looking for.

Interview with Alejandro de Jong

Digital Twin uses drones to take construction project snapshots on a weekly basis.

High angle close-up of a drone carrying case being opened and the drone being lifted out. Low angle footage of a construction worker onsite placing the drone on a mini helipad on the ground. Low angle close-up of the drone controls held by the worker. Close-up of the camera attached to the drone swivelling above the mini helipad. Wide view of the drone lifting off the mini helipad.

And from these images, we create accurate 3D models of the entire construction site.

Interview with James Bouanchaud

CML Structural Engineer

This enables me to get a top-down view, to quickly determine what we need to do. It’s very effective.

Interview with Ed Cadena continued

Any reduction in time will mean literally waiting time that we’ll avoid, and we have a safer

Title: Predictive Maintenance

Duration: 1:39 minutes

Description: 

Shell staff talk about predictive maintenance as a way to leverage technologies to forecast issues and predict failures before they arise. Unable to find an off-the-shelf solution, they built one themselves and now have 24/7 coverage. The model is now being replicated in other facilities and offers good insight, as well as allowing engineers more time to do engineering work instead of analysing mountains of data.

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PREDICTIVE MAINTENANCE

Interview with Sankesh Sundareshwar

Senior Process Engineer, Shearwater

Sankesh Sundareshwar

Predictive maintenance is leveraging the technologies we have today to forecast issues before they can arise.

Interview with Arnold Hes

Instrument Engineering Team Lead, Pernis

Arnold Hes

We have to keep our plants running and our biggest problem is when the plants trip due to equipment failures.

If we can predict that, then we can prevent these failures and save the company a lot of money.

Interview with Claudia Zuluaga Giraldo

Principal Digital Product Manager

The more stable operations, the more energy efficiency we are able to obtain, the less emissions we generate.

Sankesh Sundareshwar

We looked outside quite extensively if anyone else had a product that we could just take off the shelf and we couldn’t find anything that useful to us, so we decided to build it.

Interview with Kenneth Innes

Shearwater Manager

Before we developed these systems, our people spent a lot of time analysing mountains of data which was very labour intensive.

[Video footage]

Shot of Kenneth standing by a row of monitors listening to a male colleague sat down talking. Close-up of Kenneth nodding. Close-up of Neil Forbes speaking to off-screen interviewer at an interior location.

Interview with Neil Forbes

Operations Support, Shearwater

Instead of that being reactive, we’re now proactively going out fixing issues before they become a bigger problem.

 [Sankesh Voiceover]

The big benefits of this programme is 24/7 coverage.

It looks at about 300 system parameters all the time. Human beings can’t do this kind of thing.

Now we’ve got to think globally and think about replication and replication at pace.

[Arnold Hes Voiceover]

We were able to use and replicate that model in our facilities and gave us a good insight in how our valves are behaving.

[Sankesh Sundareshwar Voiceover]

This technology is going to make us better engineers because we have more time to do engineering work to prevent systems going offline.

Interview with Sander Buhling

Instrument Project Engineer, Pernis

I think the major change, it’s not really the prediction; it’s the scale-able part of this project.

You build a solution for 16 valves; it has the potential to increase for all valves within Shell.

Why not, yes, use it on everything we have?

Title: LNG Shipping Digitalisation case study

Duration: 1:13 minutes

Description: 

A case study showing how Shell is using digitalisation to improve the efficiency and lower the emissions of its’ fleet of LNG tankers.

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Optimising Shipping

Interview with Paul McStay

LNG Fleet Performance Manager

[Paul McStay]

Shell has an ambition to drive down its carbon footprint. And within shipping and maritime, our vision is very much aligned with that.

Interview with Samantha Lehel

LNG Commercial Freight Operator

[Samantha Lehel]

The LNG Shipping accelerator essentially consolidates loads of information in one place.

So that instead of having to consult various different resources for each one of my vessels, I can see everything immediately.

The real value is, sort of, the time savings for myself as an operator, but also the level of accuracy and efficiency that that affords our business.

[Paul McStay]

What this allows us to do is see data live and in real time and therefore be able to proactively intervene when performance starts to drop.

Interview with Grahaeme Henderson

VP Shipping & Maritime

[Grahaeme Henderson]

If we can improve our efficiency, we can reduce the amount of time that we’re waiting at ports…

Then we can reduce our fuel usage. And by reducing our fuel usage, we can improve our emissions.

[Paul McStay]

This project allows us to understand where our footprint is and reduce that by setting appropriate benchmarks, and therefore reductions into the future, using data as a means to enable insights that will allow the business to deliver value by driving our vessels more efficiently and enabling us to deliver more molecules of LNG to our customers.