Artificial Intelligence

Title: Shell scales AI with the Microsoft DevOps platform

Duration: 02:15 minutes

Description:

By adopting DevOps practices and the Microsoft DevOps platform, with Azure and GitHub, Shell is able to scale through rapid growth in their data science network, while changing their development cycle from months to weeks.

 [Music plays]

Rhythmic medium-tempo music swells

[Voice of Yuri Sebregts]

In the energy industry we have a vast amount of data, from exploration to how we engage with our customers.

[Video footage]

Timelapse footage of an oil rig at sea at sunset

Front view of a large ship sailing on the sea, large waves crashing over the front.

Two male Shell workers on-site wearing red jumpsuits, hard hats and gloves

Close-up of mobile phone in a man’s hand with a map of Rotterdam on the screen. The phone is in search mode.

Close-up of a computer tablet, scrolling up through a collage of Shell images.

Side view of a Shell worker on-site wearing a hard hat and glasses.

Two work colleagues in an office in front of a number of computer screens showing lots of different data.

Aerial view of an oil rig out at sea

Timelapse of a petrol forecourt. Lots of Shell V-Power branding – flags and signs

Close up of the forecourt sign with the fuel prices.

[Disclaimer text at the bottom of the video footage]

The views expressed in this video are a testimonial based on current experience, not an endorsement. Others may not have the same experience/results.

 [Text displays]

Yuri Sebregts

Chief Technology Officer

Shell

[Yuri Sebregts]

Historically, many of those data went unused.

[Video footage]

Medium head shot of Yuri Sebregts talking to camera. He’s sat in an office by a large window overlooking water and buildings

 [Voice of Yuri Sebregts]

Now machine learning and digital technologies make it possible to unlock those insights and transform our business. Driving common ways of working across the enterprise is essential for us to get to the full scale impact.

 [Video footage]

Two work colleagues viewing video footage of part of an oil rig on a large screen, with computer generated squares pin pointing certain areas.

Close-up of power buttons. Some of the green ‘on’ and red ‘off’ lights are switched on

Close-up head shot of a Shell worker looking at his computer screen with a colourful 3D graph visible.

Medium head shot of Yuri Sebregts talking to camera

Three work colleagues in a white office having a meeting in front of laptops. Camera moves to a panning close-up shot of the workers

[Voice of Kayoor Gajarawala]

DevOps as a methodology allows us to bring teams together and to move quickly and generate tremendous value particularly through the energy transition as we move from molecules to electrons.

[Video footage]

Four colleagues in an office having a meeting, view changes to a close-up of one of the colleagues, then to another colleague presenting next to a large screen that’s being screen shared and is showing computer code.

Close-up from behind of someone wearing a ‘Shell.ai Making Energy Smarter’ red T-shirt

 [Text displays]

Kayoor Gajarawala

Vice President – IT Engineering

Shell

[Video footage]

Medium head shot of Kayoor Gajarawala talking to camera. Sitting in an office by a window

A fuel nozzle being inserted into a vehicle

A charger being inserted into an electric car. Computer graphics overlay the video footage

[Voice of Daniel Jeavons]

We’ve been on an exponential growth curve. We have a data science network of around 2,000 people.

[Video footage]

Woman walking down a corridor and walks into the ‘Digital Facility’. Camera pans up to the sign above the door

Medium head shot of Daniel Jeavons talking to camera, sitting in an office.

[Text displays]

Daniel Jeavons

General Manager – Data Science

Shell

[Voice of Daniel Jeavons]

With that sort of scale, we need to standardize the way we work, and that’s why DevOps is so important.

[Video footage]

View from behind a helicopter on a helipad on an oil rig out at sea. Sunset in the background.

Close-up of a driver at a steering wheel while stationary, using a computer tablet.

Two Shell colleagues wearing hard hats and glasses using a computer tablet and a mobile phone

Four colleagues having a meeting in an office

Three colleagues having a meeting in a white office all sitting in front of laptops

[Voice of Daniel Jeavons]

So as we’ve been trying to standardize AI across the enterprise and the way in which we develop new solutions, we’ve been working with Microsoft to leverage products like Azure Boards, Azure Pipelines, GitHub Enterprise, in order to ensure that our engineers and our data scientists are working consistently, that they can share code and they can deploy them to the edge and the cloud easily. That’s changed our development cycles from months to weeks.

[Video footage]

Man in orange jumpsuit sitting in front of a number of computer screens and panels with computer graphics overlaying the video footage

Another shot of colleagues in front of rows of computer screens with computer graphics overlaying the video footage showing bar graphs and pie charts

Three colleagues in an office with two laptops, computer graphic of a map overlaps one of the laptops

Close up head on view of one of the three colleagues looking at the laptop and with more computer graphics of maps, graphs and statistics overlaying the video.

3D image on a tablet. A man’s finger changes the view by moving his finger across the screen.

Close up view of a tablet being held by a gloved worker wearing a high visibility jacket. Computer graphic lines overlaying the video

Daniel Jeavons presenting a meeting, pointing to information on a large screen being screen shared from a laptop.

Close-up of information on the computer screen relating to Azure DevOps

Colleagues having meetings in a large office with lots of light

Colleagues sitting at their desks in an open plan office. Camera moves to a close-up side view of one of the female colleagues working at a computer screen.

Close-ups of some male colleagues

Close-up of a computer screen with computer code, screen scrolls down

Close-up of a cursor on a webpage selecting ‘deploy’ button

Close-up of someone using a mobile phone to set up charging for an electric vehicle.

Close-up of behind the mobile phone and computer graphics appear on the left of the screen of a spinning car and graphs.

[Voice of Laura Foulquier]

Having GitHub Enterprise integrated with Azure Boards and Azure Pipelines makes it really simple for any collaborator on the project to follow the life-cycle of the code, knowing where it’s at, where it has been deployed, and how successfully.

[Text displays]

Laura Foulquier

Data Engineer

Shell

[Video footage]

Footage of Laura Foulquier in an open plan office sat at a computer screen working. Camera pans to a view behind her head with a close up of the computer screens and then changes position again to end on a close-up of her face.

Close-up of two colleagues chatting by a computer screen, pointing at the screen.

Medium head shot of Laura Foulquier talking to camera, sitting in an open plan office.

Close-up of fingers typing on a computer keyboard

Close-up of two colleagues faces looking at a computer screen

[Voice of Daniel Jeavons]

Containerization has been very much part of this journey, and we are also using Kubernetes to allow us to deploy that at scale.

 [Video footage]

Colleagues in an open plan office chatting by a desk in front of computer screens

Side close-up view of a man’s eyes behind a pair of glasses.

View of a worker from behind his computer screens and then a side view of him in a meeting.

[Voice of Daniel Jeavons]

We’ve been working with Microsoft in developing the Kubeflow framework on Azure. We see huge innovation in the open source frameworks.

[Video footage]

Close-up of a selection of webpages from ‘Kubeflow’. Computer curser moves around the pages clicking on different buttons

[Voice of Daniel Jeavons]

We’re trying to leverage those communities that often gravitate around GitHub and bring that into Shell to allow us to continually innovate.

[Video footage]

Daniel Jeavons presenting a meeting about Kubeflow – screen sharing the website from a laptop onto a large screen on the wall.

A group of colleagues in a meeting room with a load of laptops and large computer screens on the back wall. Footage moves to a close-up of one of the colleagues in the meeting.

[Voice of Kayoor Gajarawala]

Support and training for new technologies is really important. I think Microsoft has offered a very good way for our developers to get up to speed and practically apply what they’ve learned

[Video footage]

View of a woman’s hands typing on a computer keyboard

Same woman talks to a man who is at another desk, he then points to his monitor, woman joins him looking at his screen up close.

Still shot of Microsoft Azsoft Azure Academy Webpage with a picture of a man at a whiteboard. Shot then scrolls down through the webpage showing the curriculum.

[Daniel Jeavons]

This space is always changing.

[Video footage]

Medium shot of Daniel Jeavons talking to camera

[Voice of Daniel Jeavons]

Working together with Microsoft has been absolutely critical and I look forward to that continuing.

 [Video footage]

Two men walking down a corridor, shot following one man into an office walking past people at desks.

Man and a woman walking through the lobby of a shell building walking towards the steps.

Close up shot of a woman's face wearing 3D eyewear

Two women are wearing similar 3D eyewear looking a screen of colourful imagery

Close up shot of woman in a hard hat and protective eyewear looking into the distance

[Text displays]

Shell and Microsoft working together

[Video footage]

Microsoft logo and the Shell logo next to each other on a white background, logos separated by a thin black line.

Frame changes to the Microsoft Azure logo on a white background

Then the Azure word disappears and leaves just the Microsoft logo on a white background

[Music]

Rhythmic up-beat music swells and ends.

Title:     Shell RechargePlus

Duration: 1:14 minutes

Description: 

A case study showing how Shell is using digitalisation to make Electric Vehicle charging more efficient.

 [Text displays]

Powering EV Growth

Interview with Angie Boakes

E Mobility Manager

[Angie Boakes]

The future shift to electric vehicles is pretty clear.

Shell is launching our RechargePlus solution, and it’s all about really how you optimize charging for their electric vehicle.

Interview with Phillip Villagomez

Business Development Electric Mobility

[Phillip Villagomez]

Our optimization algorithm is pretty smart, that it moves the charge to a time when solar or wind are at their highest and prices are at their lowest, therefore helping the environment and the driver save money as well.

[Angie Boakes]

And what we need them to do is basically use our app to therefore tell us what time they need to depart and roughly how many miles or how much energy they need by the end of the day, and then we will do the rest.

Interview with Dana Madrid

RechargePlus User

[Dana Madrid]

RechargePlus has given me the freedom and the peace of mind to park, plug in…

And I’m charged, and I don’t have to come back out.

[Phillip Villagomez]

We are helping people save money. Not only the drivers, but also the site host and building owners.

[Phillip Villagomez]

If you have a bank of ten chargers, you don’t want ten drivers plugging in at the same time. This causes expensive demand charges and also puts a strain on the grid.

[Angie Boakes]

We’re helping them to switch to zero emission vehicles, helping the grid to have more renewables on the system. It’s more, cleaner energy.

 

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.

 [Text displays]

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.

 [Text displays]

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.