Digitalisation in action

Title: The Data Detectives - Solving the 10-year-old problem at Perdido

Duration: 05:20 minutes

Description:

Lying in the Gulf of Mexico is Shell’s Perdido Platform. It’s one of the deepest floating oil and gas platforms on the planet. This film follows how Shell must seek a new solution to help solve a decades old problem with Perdido – the periodic disruption of its pumps responsible for separating oil and gas. As the film reveals, the issue has stumped engineers for some time, so to solve the mystery Shell calls in a crack team – its data detectives.

The data detectives plan to use artificial intelligence to look for patterns in data returned from Perdido’s pumps. Each pump sends a stream of information, including temperature, pressure and chemical signatures. With AI, the detectives are looking reoccurring signatures in the data ahead of a pump failure.

After drawing an initial blank, they team up with pump operator Jimmy Johnson, who helps the team refine their computer code, which ultimately leads to a tell-tale chemical signature ahead of 70% of pump disruptions – a great win for Shell’s data detectives and AI.

[Music plays]

Rhythmic medium-tempo music swells

Shell's Perdido platform in the Gulf of Mexico.

It's one of the deepest floating oil and gas platforms on the planet, but for 10 years, Perdido has struggled with an engineering puzzle.

After this long to not have a resolution this supremely frustrated.

It's subsea pumps are mysteriously disrupted without warning.

Now, Shell are turning to a new solution to help solve the problem, artificial intelligence.

8000 feet below the waves, lie Perdido pumps.

Key to production, they separate a mixture of oil and gas that's sent to the surface.

But occasionally the pumps stop separating, causing a complete loss of production.

It causes a lot of headache so we can solve this problem, then we can be more proactive in trying to stop the event before it happens.

At these depths, inspecting inside the pumps is impractical.

Shell must find a different solution.

They're calling in a crack team.

Their mission, to predict partidos pump problems using artificial intelligence.

Meet the data detectives.

I think what makes me a good detective is always being skeptical of the assumptions.

We want to do well.

We want to find a possible solution through data science if we have it.

Each pump generates a constant stream of data, recording its temperature, pressure and chemical mix.

The data detectives plan to apply artificial intelligence to sift through the gigabytes of stored data to search for patterns which might predict when pumps fail, but it's easier said than done.

We had such a humongous dataset that it's like finding a needle in the haystack.

Three thousand tags, five years of data.

It's too much for the computer to process.

After weeks of work sifting through a decade of data, their search draws a blank.

They wanted prediction, they wanted possible causes.

Sometimes people feel that artificial intelligence is going to solve everything, and that's not really

the case.

Show me a sign that you're able to predict something for us.

It's research.

It just takes time.

But as the detective soon discover, it'll take more than time alone to solve this mystery.

We had some early wins, some early successes, and then it seemed like the progress plateaued.

There were times where I considered maybe we should stop.

And at that moment, it didn't feel like we were progressing.

In a bid to break the impasse, the detectives call on the experience of operator Jimmy Johnson.

Jimmy's worked in the oil industry for 25 years and his knowledge of Perdido’s pumps is second to none.

I said that you need to have individuals from the field looking at this with you, because we understand

what this means.

When you're saying this is out of normal.

Tapping into Jimmy's knowledge, the team refine their computer code and finally uncover what

they're looking for.

A telltale chemical signature seen in the data a few days ahead of a pump disruption.

So, Vanessa, how far in advance did we see something on this one?

It was about two days.

Two days!

Awesome.

Wow.

Is that something we can do?

Yeah, this is something that we can work with.

It wasn't until they showed off some of their results and I felt that there was a sense of breakthrough,

that they were truly on the verge of discovering something.

Continuing crunching through the data, the team's refined algorithm identifies the chemical fingerprint ahead of 70 percent of pump disruptions.

Awesome.

Good work, guys.

Helping predict when a disruption event might occur, means Perdido can avoid lost production, making even the most skeptical appreciate the power of artificial intelligence and the work of the data detectives.

It took the results kind of hitting me in the face multiple times.

You can't deny the results.

A treisman in me says Nobody's going to know this machine better myself.

The realism of that is that's not always true.

Once you start seeing the results, there's no refuting numbers.

That's the beauty about math, right?

I mean, math is math.

If we're able to tap into that, we can truly succeed and make this company a more successful place to work.

[Music]

Rhythmic up-beat music swells and ends. 

Title: Digitalisation case study in contracting & procurement

Duration: 1:12 minutes

Description: 

A case study showing how Shell in using digitalisation to improve the efficiency and speed of its contracting and procurement systems. The internal processes and systems by which Shell procures supplies for its operations are being digitalised for a few good reasons: to automate transactions; to keep track of materials and equipment in real time; and to extract even greater efficiencies from the supply chain through the sophisticated analysis of the torrents of data that have now become available. Shell is doing this by integrating a commercial cloud-based solution with its SAP enterprise resource planning (ERP) systems. In one fell swoop, a single application replaced 14 separate applications.

 [Text displays]

Digitising Supply Chains

Getting people within Shell to be able to procure at work as easy as they do from home, that’s a big deal for us.

SHARP Shell Ariba Procurement is a project to digitalise the core of contract procurement making things simple, making them fast, making them highly effective.

Simplification has been a key driver here with SHARP Ariba. We have been able to replace 14 legacy systems, we can now switch off.

Managing a contract, electronically transacting with our suppliers. By simplifying, by digitising by automating what we do – enable our colleagues to power progress together.

By leveraging the efficiencies that Ariba gives us we can be quicker and we can be more agile so that we are the most competitive supply chain in the future.

From the biggest companies in the world, to a single person with a great idea – Digitalisation can bring that together and allow us all to benefit from it.

We can be the best in the world at this.

Title: 5019P Shell - Case Study - EV CHARGING - ENG SUBS

Duration: 1:14 minutes

Description: 

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

5019P Shell - Case Study - EV CHARGING - ENG SUBS Transcript

[Background music plays]

The Sound of Shell adaptation.

[Text displays]

Powering EV Growth

[Video footage]

Time lapse footage from a bird’s eye view of busy traffic at a city intersection.

Interview with Angie Boakes

[Title]

E Mobility Manager

[Angie Boakes]

The future shift to electric vehicles is pretty clear.

[Video footage]

Time lapse footage from a bird’s eye view of traffic on a multi-lane highway. This cuts to a closer high angle view of several lanes of traffic on a highway.

[Angie Boakes]

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

[Text displays]

Angie Boakes E Mobility Manager

[Video footage and animated sequence]

Mid-view footage of Angie Boakes standing in one corner of a room, speaking to an off-camera interviewer; the walls that form the background are papered in a modern-style collage wallpaper featuring fragments of images and words, and a screen displays against the wall at frame left. Low angle footage of a woman opening the door of a yellow electric vehicle and stepping out. Low angle close-up of a hand taking the EV charging plug out from the Shell banded RechargePlus charging point. Tracking footage of the women taking the charging plug over to her car and plugging it into the socket. As she does so, white line animated graphics and text appear on screen alongside the charging socket and at frame right to indicate the charging battery.

Interview with Phillip Villagomez

[Title]

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.

[Video footage and animated sequence]

Tracking point of view footage, as from a driver’s perspective, of the view through a car’s windscreen, seen over the dashboard. White line animated graphics display against the windscreen to indicate battery levels and usage.

[Text displays]

Phillip Villagomez Business Development Electric Mobility

[Video footage]

Close-up footage of Phillip Villagomez, speaking to an off-camera interviewer. Low angle footage of Phillip and two men seated and engaged in discussion in a meeting room, open laptops and documents on the table between them. This cuts to panning footage of the same scene, followed by a high angle pan of the table and Phillip’s hand as he writes notes on a writing tablet.

Interview with Angie Boakes continued

[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.

[Video footage and animated sequence]

Mid-view footage of Angie Boakes standing, as before, against wall-papered walls and speaking to an off-camera interviewer. High angle tilting footage of a woman tapping on her smartphone screen while standing alongside her car. Close-up of the woman’s smartphone screen displaying the “setup charge” steps on the app, with the woman’s finger tapping on the “Confirm” button. Reverse view close-up footage of the smartphone held in the woman’s hands; white line animated graphics of the car, its battery and other statistics display at frame-left alongside the smartphone, indicating charging or energy requirements. Mid-view footage of Angie Boakes standing, as before, against wall-papered walls and speaking to an off-camera interviewer.

Interview with Dana Madrid

[Title]

RechargePlus User

[Dana Madrid]

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

[Video footage and animated sequence]

Tracking high angle footage of Dana Madrid driving a yellow electric vehicle past other cars parked in a parking area. High angle footage of Dana taking an EV charging plug out from a Shell banded RechargePlus charging point. Side view footage of Dana standing beside her car and plugging the charging plug into her car’s charging socket.

[Dana Madrid]

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

[Text displays]

Dana Madrid RechargePlus User

[Video footage]

High angle close-up of Dana speaking to an off-camera interviewer, her car and others seen in the out-of-focus background.

Interview with Phillip Villagomez continued

[Phillip Villagomez]

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

[Video footage]

Low angle view of sunlight through leaves of tree. Close-up in profile of hands on a steering wheel, as scenery passes through the driver’s window beyond. Mid view footage of Phillip Villagomez, speaking to an off-camera interviewer, seen against the background of a meeting room, a long table surrounded by chairs behind him.

[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.

[Video footage]

Close-up of running command prompt white lines on a black screen. Low angle footage of two young men standing alongside two RechargePlus charging points in an office environment; a computer screen above one of the charging points displays white lines on a black screen – both men’s attention is on the smartphone held in one of the men’s hands. Close-up of hands plugging a charging plug into a socket mechanism that is on the floor. Mid view footage of Phillip Villagomez, speaking to an off-camera interviewer, seen against the background of a meeting room, a long table surrounded by chairs behind him.

Interview with Angie Boakes continued

[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.

[Video footage]

Mid-view footage of Angie Boakes standing, as before, against wall-papered walls and speaking to an off-camera interviewer. Close-up of Angie as she speaks to the off-camera interviewer, then cutting back to the mid-view angle, as before.

[Graphic]

Centre-framed Shell Pecten on a white background. Fade to black.  

Title: 5019P Shell – Case Study – Predictive Maintenance – ENG SUBS

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.

5019P Shell – Case Study – Predictive Maintenance – ENG SUBS Transcript

[Background music plays]

Instrumental music with synthesised effects

[Video footage]

Upward-looking shot of plant chimneys set against a sunny blue sky. Text appears on-screen as displayed below.

[Text displays]

PREDICTIVE MAINTENANCE

[Video footage]

Low-angled shot of Claudia Zuluaga Giraldo and Sander Buhling wearing protective gear walking at a Shell site.

Interview with Sankesh Sundareshwar

[Text displays]

SANKESH SUNDARESHWAR

SENIOR PROCESS ENGINEER, SHEARWATER

Sankesh Sundareshwar

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

[Video footage]

Close-up of Sankesh speaking to off-screen interviewer at an office location. Footage of Sander and Claudia and another staff member walking past a series of pipes towards a staircase. Close-up of Sander and Claudia talking while Sander points at a piece of equipment.

Interview with Arnold Hes

[Text displays]

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.

[Video footage]

Close-up of Arnold Hes sat speaking to off-screen interviewer at an interior location. Slow motion, low-angled shot of Claudia and Sander talking while Sander looks at a document he’s holding. Back to Arnold speaking to off-screen interviewer.

Arnold Hes

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

Interview with Claudia Zuluaga Giraldo

[Text displays]

CLAUDIA ZULUAGA GIRALDO

PRINCIPAL DIGITAL PRODUCT MANAGER

Claudia Zuluaga Giraldo

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

[Video footage]

Close-up of Claudia speaking to off-screen interviewer at an interior location. Shot of several people sat around a table in a conference room as a lady at the front is presenting by a flipchart. Close-up of Claudia’s hands gesticulating. Shot of Claudia presenting in the conference room, the agenda displayed on a large screen behind her. A white grid and coloured bar graph is superimposed on-screen to the right. Back to close-up of Sankesh speaking to off-screen interviewer.

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.

[Video footage]

Shot of Kenneth Innes and a male colleague standing by a desk with two rows of monitors as his colleague points to one of the monitors. An out-of-focus hand points to a screen with red and green markers. Close-up of Kenneth Innes speaking to off-screen interviewer at an interior location.

Interview with Kenneth Innes

[Text displays]

KENNETH INNES

SHEARWATER MANAGER

Kenneth Innes

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

[Text displays]

NEIL FORBES

OPERATIONS SUPPORT, SHEARWATER

Neil Forbes

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

[Video footage]

Shot of a walking Neil, Sankesh and a female colleague on the office floor. Shot of Neil and Sankesh with their backs to the camera as they video conference with a colleague who we can see on-screen.

[Sankesh Voiceover]

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

[Video footage]

Close-up of Sankesh talking. Close-up of a screen showing Sankesh and Neil standing on the work floor as they continue to video conference.

[Sankesh Voiceover]

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

[Video footage]

Back to shot of Kenneth and his colleague discussing by the row of monitors, the out-of-focus hand pointing to a screen with red and green markers, and the shot of Kenneth standing by a row of monitors listening to a male colleague sat down talking. Back to Sankesh speaking to off-screen interviewer.

Sankesh Sundareshwar

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

[Video footage]

Wide-angled shot of Neil and Sankesh standing in an office room as Sankesh points to a poster titled TAR. Close-up of Neil listening as an out-of-focus Sankesh continues talking. Close-up of Sankesh talking and pointing to the poster. Low-angled shot of a man sat at a desk with a double row of monitors. A series of screens are superimposed in white depicting bar graphs and other charts.

[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.

[Video footage]

Shot of two men, their backs to the camera, looking at a double row of monitors at an interior location. A series of screens are superimposed in white of further pie charts and bar graphs at the top.

[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.

[Video footage]

Close-up of data on a screen. An out-of-focus hands points at a cluster of coloured dots on a screen. Close-up of Arnold. Shot of a hand pointing at a screen displaying a line graph. Close-up of Sander Buhling speaking to off-screen interviewer set against a white background.

Interview with Sander Buhling

[Text displays]

SANDER BUHLING

INSTRUMENT PROJECT ENGINEER, PERNIS

Sander Buhling

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

[Video footage]

Still-frame of an electrical piece of equipment. A series of round diagrams are superimposed in white on-screen right displaying percentages of productivity, efficiency and system capacity. Zoom in on the productivity diagram as the percentage increases to 100%.

[Sander Buhling Voiceover]

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

[Video footage]

Slow-motion footage of Sander and Claudia sat at a desk as Claudia explains and gesticulates. Shot of Claudia’s handing pointing to an out-of-focus row of monitors. Slow-motion footage of Sander talking as Claudia listens. Back to close-up of Sander speaking to off-screen interviewer.

Sander Buhling

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

 

[Graphic]

Shell Pecten centred on a white background.

Title: 5019P Shell - Case Study - LNG Charging - ENG SUBS

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.

5019P Shell - Case Study - LNG Charging - ENG SUBS Transcript

[Background music plays]

The Sound of Shell adaptation.

[Text displays]

Optimising Shipping

[Video footage]

Bird’s eye view of a vessel in silhouette on a vast glistening ocean.

Interview with Paul McStay

[Title]

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.

[Video footage]

Panning footage of Paul McStay talking with colleagues, standing at a bank of large screens on a wall which display animated charts and data. Slow motion close up of Paul, in profile, speaking to his colleagues, one hand pointing to the screens in front of them. Front on close-up of Paul speaking to the off-camera interviewer, seen against the out-of-focus background of an office.

Interview with Samantha Lehel

[Title]

LNG Commercial Freight Operator

[Samantha Lehel]

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

[Text displays]

Samantha Lehel LNG Commercial Freight Operator

[Video footage]

Mid-view footage of Samantha speaking to the off-camera interviewer, seated on an oval table in a meeting room.

[Samantha Lehel]

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

[Video footage]

Tilting reverse view footage of Samantha seated at her desk, looking at the screens in front of her. Close-up of Samantha seated at her desk, her focus on the screens in front of her. Close-up of shaded graphics and data on a screen. Slow motion panning footage of Samantha’s desk surface, coming to rest on a close-up of her hand on her keyboard.

[Samantha Lehel]

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.

[Video footage]

Mid-view footage of Samantha speaking to the off-camera interviewer, seated at the edge of an oval table in a meeting room. Close-up of Samantha speaking to the off-camera interviewer.

Interview with Paul McStay continued

[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.

[Text displays]

Paul McStay LNG Fleet Performance Manager

[Video footage]

Close-up of Paul speaking to the off-camera interviewer, seen against the out-of-focus background of an office.

Interview with Grahaeme Henderson

[Title]

VP Shipping & Maritime

[Grahaeme Henderson]

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

[Video footage]

Wide angle view of a vessel in port, at first blurred and then brought into focus, seen through a wire mesh fence close-up, first seen in focus and then blurred as the vessel comes into focus. Panning footage of two vessels waiting alongside one another in port, seen against a background of blue sky.

[Grahaeme Henderson]

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

[Text displays]

Grahaeme Henderson VP Shipping & Maritime

[Video footage]

Mid-view footage of Grahaeme speaking to the off-camera interviewer, seated at the edge of a long table in a meeting room. Close-up of Grahaeme speaking to the off-camera interviewer.

Interview with Paul McStay continued

[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.

[Video footage]

Slow motion wide footage of Paul McStay and a colleague walking up to the bank of large screens on the wall which display animated charts and data; another colleague is seated in the foreground at a workstation lined with computer screens. This cuts to slow motion mid-view footage of the two men standing at the screens and Paul turning to look behind him as he points to the screens. Slow motion high angle close-up of the colleague seated at the workstation behind as he speaks and points forward. Slow motion low angle panning close-up of Paul looking up and speaking, one hand underneath his chin. Slow motion reverse mid angle view of the two men standing at the screens, and Paul pointing to data displayed there. Mid-view footage of Paul speaking to the off-camera interviewer, seated at the edge of a long table in an office environment. Slow motion low angle close-up footage of Paul and his colleague looking upwards, first showing his colleague in focus while Paul is blurred in the foreground, then bringing Paul’s profile into focus as his colleague blurs into the background. Fade to white.

[Graphic]

Centre-framed Shell Pecten on a white background. Fade to black.

Title: Digitalisation at Pennsylvania Chemicals

Duration: 1:07 minutes

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

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 project too.