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How AI Is Changing the Oil Business From Abu Dhabi - Video học tiếng Anh
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How AI Is Changing the Oil Business From Abu Dhabi
How AI Is Changing the Oil Business From Abu Dhabi
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Untertitel (186)
0:00
The energy sector helped build Abu Dhabi. Now the Emirate is betting on AI to help build its future.
0:07
Problems that used to take geoscientists weeks
0:09
and months to do, now we're able to do it in 45 minutes.
0:12
At AIQ, that means using artificial intelligence to make one of the world's
0:17
most complex industries more productive, more predictive, and more efficient.
0:22
Well, this is where the real magic happens. This is where the real intelligence is actually built.
0:26
We take a closer look at how AIQ is putting that vision to work.
0:43
AIQ was launched in 2020 to help accelerate the
0:47
energy industry's adoption of artificial intelligence.
0:50
The company uses AI to optimize drilling, production,
0:53
and maintenance by analyzing operational data in real time.
0:58
Its edge comes from developing and testing AI inside ADNOC, the UEE's state-owned oil giant,
1:04
before scaling those solutions to customers around the world.
1:08
The company is jointly owned by ADNOC and Presight, an Abu Dhabi
1:11
based AI and data analytics company that emerged from the G42 technology group.
1:17
AIQ says its goal is to improve the safety and efficiency of energy operations and has
1:23
ambitions to export UAE developed AI to energy markets around the world.
1:29
We've been around for 6 years now. What started off as this bold vision to transform the energy
1:35
industry with AI, we've since done about 200 AI use cases. We've productized 14 of them. Today
1:42
we're in 25% of ADNOC's wells. We're in 20% of their reservoirs. We're in 100% their drilling
1:47
rigs with one model or the other. So, you know, it's been it's been a hell of a journey.
1:51
So, take me back to 2020 and what's the biggest problem that this entity is trying to solve?
1:57
When we were formed, it was really to accelerate the development and
2:00
deployment of AI to the energy systems. The idea was taking the infrastructure
2:06
that we had with G42 and pre-sight and the sovereign infrastructure we had together the
2:11
data and actually build models to solve problems in the industry. We were out
2:16
there trying to make our energy systems and transform them and become more productive.
2:21
AIQ's tools span the energy value chain from subsurface exploration and
2:25
drilling to production, maintenance and safety.
2:28
But AIQ is still a young company in an industry built on caution.
2:33
In energy, trust matters as much as technology. Its challenge is not just to build AI tools,
2:39
but to prove they can work safely, reliably, and at scale inside live operations.
2:46
Let's get down to brass tacks here. How exactly does AIQ make money?
2:51
Well, through several ways. I mean, we've got our professional services, but we've also,
2:55
you know, built products that we can license the deployment of those products and then,
2:59
of course, the maintenance support moving forward for those products.
3:02
And so, walk me through those products in particular. You mentioned there's about
3:07
200 individual use cases today. What is the most
3:12
significant among those use cases? And and what exactly is it doing?
3:15
It's evolved since the inception of AIQ. And we think about AI people started
3:21
talking about in 2016, 2018. So in 2020 we started building this bold vision which
3:26
were a bunch of point solutions. 2025 it was really about agentic AI and agentic solutions.
3:42
We announced our our first of its kind large scale aentic AI with energy AI.
3:47
We've taken over 1.1 million documents and we've been able to take, you know,
3:53
workflows within the subsurface and actually solve problems that used
3:57
to take geoscientists weeks and months to do. Now we're able to do it in 45 minutes.
4:02
So we built solutions everything from the boardroom to the control room.
4:05
So across that value chain in the industry, and when you go and have conversations with
4:11
CEOs in the industry or you're speaking to these companies, potential clients,
4:15
how receptive are they to Abu Dhabi AI?
4:19
Well, I think they are very receptive to AI in general. I mean whether it comes from Abu
4:23
Dhabi or elsewhere. I think one of our biggest differentiators, Abu Dhabi AI, is that we've
4:28
been able to take this this infrastructure that we've got here through our G42 all the way with
4:33
the ADNOC data and we've been able to build models around that. Many of our competitors talk about
4:39
you know being able to theoretically build these models with physics models but they don't have the
4:44
real-time data that we've got and we've had some of these models in the systems for over six years.
4:49
So when we talk to these CEOs, we talk about that we've done it. These are proven
4:53
technology that we can put in their systems. And in the industrial world that we live in,
4:58
in the energy sector, you know, you can't really mess with some of these wells that are producing
5:03
wells with what you theoretically can do - it has to be what you've done.
5:07
Just characterize it for me. How transformative has AI been to the energy industry?
5:12
Gosh, I mean, I think we're just scratching the surface.
5:14
I think it's been quite significant. Our ability to help our customers, you know,
5:19
analyze, visualize and decide or whether it's automating wells.
5:23
You know, we really focus on three different things at AIQ. One is autonomous operations.
5:29
We want to make sure that we can keep people as far away from the well sites
5:33
as possible cuz that's going to make everything, you know, a lot more safe.
5:37
We think about subsurface. Solving problems, you know, underground, what we cannot see.
5:42
And then of course the physical intelligence where
5:44
we want to connect the digital world with the physical world in real time.
5:49
As AI becomes more embedded in critical energy infrastructure,
5:53
protecting sensitive operational data is becoming just as important as improving performance.
6:00
When we think about data sovereignty, we think about our customers' data.
6:03
And for us data sovereignty sits within our you know customers' tenant which is within our
6:10
G42 Core42 infrastructure or within our tenant which also sits within that national sovereign
6:18
cloud that we've got. So that's really the way we think about data and we think
6:22
about data wherever our customers store that data. We never take data out of our customers
6:30
platforms to actually deliver what we need to deliver when it comes to models.
6:35
How do you overcome the inevitable security question though, and is that a challenge that
6:40
you've seen being presented by CEOs that you speak with or those in the energy industry?
6:44
Well, I think many in the energy industry would realize and understand that that ADNOC
6:49
is probably one of the most strict when it comes to cyber security, when it comes to security and
6:53
what we've proven in the last six years is that we can operate within that framework.
6:58
So, you know, whatever challenges our customers have when it comes to cyber security, we
7:04
believe that we've worked with some of the most strict and sovereign
7:10
parameters that we've had to work with. So, we know how to do it.
7:13
And this idea of being interoperable is also
7:17
important as you continue to scale globally, right?
7:20
Absolutely. And our customers are sitting on different tech stacks. You know,
7:24
some are using Amazon, some are using Microsoft, some want to use Anthropic,
7:27
others want to use OpenAI. So, we're quite agnostic with what systems they would like to use.
7:33
For AIQ, the relationship between AI and energy runs both ways. As AI reshapes the
7:39
energy industry, the industry's role in powering AI is becoming just as critical.
7:45
We really believe that where there's AI, there's energy. Where there's energy, there'll be AI.
7:49
We answer the AI for energy question, right? I mean, as the world needs more AI,
7:54
needs more energy, we want to make that energy system far more productive,
7:58
far more efficient, far more safe, and far more sustainable. So, that's really,
8:02
you know, what we do. And our data centers, the new refineries. Yesterday,
8:06
we were taking oil and gas. We were turning them into fuel and chemicals and today we're
8:11
taking oil and gas and putting them in data centers and turning them into electrons. So
8:15
exporting it before through pipelines now through the cloud and fiber optics. So that
8:20
relationship between AI and energy continues to get closer and closer, and continue to merge.
8:26
When you cast your mind forward into some of the solutions that you think AIQ will be
8:31
able to deliver and provide across the energy industry in the years to come,
8:37
what is the moonshot and and what are you ultimately working towards?
8:41
Well, what we're really shooting towards is really our customers have one mission
8:46
and that's really the extraction and sale of the products, right? The oil and gas products. So what
8:53
we'd like to do is be able to solve the entire value chain optimization problem,
8:58
whether it's which wells to shut off, which ones to turn on, which ones to optimize,
9:02
and be able to do it more efficiently and be able to to shoot down the other side
9:06
of that pipeline. The lowest cost per barrel is really what our moonshot is.
9:12
I myself have been out on an ADNOC platform and it's incredible to see the level of autonomation.
9:21
Do you see a future when one day perhaps we might be able to completely eliminate
9:28
human interaction on physical rigs moving forward?
9:32
Everything we do, I believe, just because of the world that we live in,
9:35
is going to always augment the human capability and we'd like to automate as much as possible,
9:40
but you know, I believe that we need to minimize the human capability but we want to be able to
9:46
produce more. We want to be able to to make it a safer place. But our goal is never to
9:51
eliminate the human because, you know, at the end of the day, these are big decisions that
9:56
need to be made. And as you see out there, I mean, it's still quite mechanical out there
10:01
and there's a lot of moving parts and pieces and we're always going to need a human in the loop.
10:06
Abu Dhabi based AIQ is part of the UAE's wider push to
10:10
become a global leader in artificial intelligence.
10:13
Under the country's AI Strategy 2031, AI is being deployed across key sectors including energy.
10:21
AIQ's advantage has been built at home inside state-owned oil company ADNOC's
10:26
operations and Abu Dhabi's digital infrastructure.
10:30
The next question is how well that model travels.
10:34
The company says it's now testing that internationally with pilot projects and
10:38
partnerships underway in markets including Colombia, Kazakhstan, Oman, and Indonesia.
10:45
Are there any new markets that you're looking at getting involved in right now?
10:49
North American market, the US and Canada. We're, you know,
10:52
looking in Europe and then the global south and Australia.
10:57
And are you finding that there's a lot of competition in the sector right now
11:00
to try and adopt this technology first or fastest?
11:03
Yeah, it's quite fragmented. I mean, I always say that it reminds me a lot of the ERP race of
11:09
the 1990s, right? I mean, some folks would give their business to the Microsofts of
11:13
the world and others were giving it to SAP and others were giving it to startups. But you got
11:18
customers that are trying to do it themselves. So we find ourselves competing with, you know,
11:22
customers that want to do it themselves and then everyone that has been forced by their
11:27
board to get into the AI business all the way through to new players and startups with you
11:32
know five to twelve people in the company. So it's a competitive business and at the end of
11:38
the day I think that this race is going to end the same way where there's going
11:42
to be a few big players at the end and I think that we believe that AIQ will be one of them.
11:48
When you look at what the UAE is doing, leading in this space, do you see the UAE
11:53
in the future perhaps being a net exporter of artificial intelligence into the future?
11:59
I think you're already seeing it. I mean, when you look at our parent, Presight,
12:04
they're already exporting this technology and helping a lot of, you know, governments with a
12:09
lot of the smart city, smart government solutions, with infrastructure solutions. So you're already
12:14
looking at a lot of the ecosystem companies in Abu Dhabi exporting that technology. For many years,
12:20
we were importing a lot of technologies here in the UAE to work whether in our government sector,
12:25
with our financial sector, or our health sector. When you look at today what we're doing here in
12:30
Abu Dhabi, we're building this technology here and we're exporting it to the world.
12:35
More than a year into the role as AIQ's CEO, Jol says it has been a steep learning curve,
12:41
even for someone who has spent two decades working in the UAE's energy industry.
12:46
I didn't start off as a tech CEO. I spent the last 20 years in the industry here in the UAE,
12:51
working with the energy systems in one of the most commoditized businesses.
12:56
But whether it's AI or a commodity product like pipe valves and fittings,
12:59
I believe that, you know, when you can prove to a customer you're either going
13:02
to save them money or make them money, it's really value selling is what you do.
13:06
What would you say is the biggest difficulty that you've faced so far?
13:10
Really trying to get our customers to
13:13
understand what AI is and how it can truly transform the industry.
13:18
When you think about transformation, it really
13:21
makes you think about roles in industry, roles in company.
13:25
I always like to use the example of Uber,
13:27
right? I mean, when you think about Uber transforming the transportation industry,
13:32
you know, you can't really ask the taxi driver on what kind of tools they need.
13:35
So, I think when you think about transforming this industry,
13:37
it's really, collaborating internally and externally.
13:41
And we believe here at AIQ, collaboration is acceleration.
13:44
And how would you characterize your own leadership style?
13:48
Well, I think that a lot of what I picked up in my previous companies
13:52
was accountability, integrity, and fun.
13:54
Why is fun important as a leadership style?
13:57
Well, I think that in the fast race that AI is in and you know,
14:02
we got folks that that don't sleep at night programming and coding,
14:06
and in the startup world that we're in, we've got to make sure that we love what we do.
14:10
I always tell our folks that if they've got that Sunday night gut check and
14:15
actually toss and turn to go to work on Monday, I think you're in the wrong job.
14:21
And so I think fun is probably the most important thing,
14:24
and allows everybody to get up every morning and do what they want to do.
14:29
What gets you out of bed in the morning?
14:31
All the above, right? I mean, ultimately for me it's real challenge and right now
14:37
the challenge of AI, the challenge of going out there and proving to the world that
14:42
these solutions that we've created in Abu Dhabi is truly valuable. And I think that,
14:48
and making a difference is really what gets me awake in the morning and gets me going.
