Best of LinkedIn: ADIPEC 2025

00:00:00: This episode is provided by Thomas Allgeier and Frennis, based on the most relevant LinkedIn posts about Aidepeck twenty twenty five.

00:00:07: Frennis supports enterprises with market and competitive intelligence, decoding emerging technologies, customer insights, regulatory shifts and competitor strategies.

00:00:16: So product teams and strategy leaders don't just react but shape the future.

00:00:20: Welcome to the deep dive.

00:00:22: Our mission today.

00:00:23: Well, it's pretty clear.

00:00:24: We're cutting through all that noise around ADIPEC twenty twenty five on LinkedIn, trying to pull out the really critical actionable stuff.

00:00:32: So if you need to know where the energy sector is actually putting digital transformation to work

00:00:37: and what tech is ready now.

00:00:38: Exactly.

00:00:39: This deep dive should be your shortcut.

00:00:41: Yeah.

00:00:41: And what really came through, I think, across all the sources wasn't, you know, far off ideas.

00:00:45: It was this pivot towards immediate, measurable execution.

00:00:49: ADIPEC twenty twenty five felt.

00:00:51: overwhelmingly focused on maybe three things, AI that's ready for production, defining pragmatic ways through the energy transition, and using strategic partnerships as, well, the main way to get things done and grow.

00:01:02: So less looking at the horizon and more like, what's actually shipping next quarter?

00:01:07: Pretty much.

00:01:08: The goal, and this popped up again and again from strategy leaders, was market realism, reliability, and execution discipline.

00:01:17: Makes sense.

00:01:17: We're seeing actual product launches like those agentic AI assistants we'll talk about alongside these big cross-border energy and tech hubs taking shape.

00:01:26: It feels like...

00:01:27: maturity.

00:01:28: Okay, maturity.

00:01:28: Let's unpack that.

00:01:29: Starting with maybe the first big finding, which really underlines that shift you mentioned from concept to execution, partnerships and joint ventures.

00:01:37: Yeah.

00:01:38: The sources made it seem like collaboration isn't just a nice to have anymore.

00:01:42: It's like the dominant way things get done.

00:01:44: Across regions, value chains.

00:01:47: That's the structural change, I think we really need to watch.

00:01:49: These aren't just, you know, MOUs.

00:01:51: Right.

00:01:51: They're integrated strategic ways to scale up.

00:01:54: Look at the NUCO.

00:01:56: formed by Ene and Petronas.

00:01:57: Okay, what's that about?

00:01:59: Well, this new entity is specifically set up to optimize and grow energy assets across Indonesia and Malaysia.

00:02:04: Wow,

00:02:05: okay.

00:02:05: So that's serious restructuring across... two big ASEAN economies.

00:02:09: That's definitely structural commitment, not just some pilot project.

00:02:13: Exactly.

00:02:14: And you see the high-level government agreements kind of mirroring this technical stuff.

00:02:18: We saw the UAE and the US agree to an energy-AI partnership.

00:02:22: Yes, aimed specifically at speeding up AI adoption in the sector.

00:02:27: Right.

00:02:27: And similarly, Azerbaijan and the UAE signed heads of terms to strengthen their energy cooperation.

00:02:34: It signals that tech and energy security are now, you know, fundamentally linked at the state level.

00:02:39: So if governments are prioritizing AI partnerships like that, the collaborations down at the field technology level must be pretty intense too.

00:02:46: What jumped out there?

00:02:47: A really good example shared on LinkedIn was Gecko Robotics.

00:02:50: They're moving forward with an integrity and reliability partnership with AD and OC Gas.

00:02:54: Okay.

00:02:54: And it's hyper specific.

00:02:56: AI driven asset assurance.

00:02:58: They're basically marrying high-end robotic inspection data directly with machine learning.

00:03:03: To

00:03:03: predict maintenance needs for key assets.

00:03:05: Exactly.

00:03:05: Predict issues before they become major problems.

00:03:08: AI-driven asset assurance.

00:03:10: Yeah, that phrase alone tells you we're way past simple data logging.

00:03:15: This whole theme, it really paints a picture of regional hub swarming, integrated growth, say, in Southeast Asia, and really clear priorities.

00:03:24: Targeted outreach to places like Saudi Arabia or Nigeria for digitalization and cybersecurity help.

00:03:29: It connects the dots, doesn't it?

00:03:31: Yes.

00:03:31: Scaling up digital requires sharing risk, getting immediate access to local expertise.

00:03:37: Which these partnerships provide.

00:03:38: Right.

00:03:38: Which actually takes us perfectly into our second theme, AI and digital intelligence.

00:03:43: Yeah.

00:03:43: So the consensus at ADPEC- Twenty-Twenty-Five, it leaves no doubt, really.

00:03:47: AI is seen as the necessary core for industrial transformation and for future skills and energy, too.

00:03:52: Okay.

00:03:53: the sources confirmed the whole conversation has shifted.

00:03:56: It's moved away from endless proof of concepts.

00:03:59: Finally.

00:04:00: Towards demanding production grade digital platforms, stuff that works now.

00:04:04: And

00:04:04: this is where that breakthrough tech launch fits in, right?

00:04:07: Schlumberger's introduced TELA.

00:04:08: TELA, yes.

00:04:09: Described as an agentic AI assistant.

00:04:12: We hear that term agentic thrown around a bit.

00:04:15: What does it actually mean here?

00:04:16: Why is that potentially a game changer for operations?

00:04:19: That's a really critical distinction.

00:04:21: Agendic AI isn't just, say, running a predictive model.

00:04:25: It's goal-oriented, meaning it signifies AI that's capable of complex, multi-step thinking and decision-making, often without needing constant, step-by-step human guidance.

00:04:36: Okay.

00:04:37: TELA is designed to really transform how decisions get made across the whole workflow, subsurface analysis, exploration planning, production optimization, operations.

00:04:47: So

00:04:47: it's moving beyond.

00:04:48: just here's what happened to.

00:04:50: maybe here's the best path forward and maybe I can even start the first step.

00:04:53: That's

00:04:53: the essence of it, yeah.

00:04:55: Augmenting the decision process in a much deeper way.

00:04:57: Got it.

00:04:58: What immediate measurable applications were they highlighting for this kind of capability?

00:05:02: The benefits they showed included AI tackling really complex tasks like intelligent risk mitigation, real-time upstream optimization, and even critical things like balancing utilities load.

00:05:15: These are tangible operational improvements, stuff that directly hits up time and efficiency.

00:05:22: That sounds like a massive leap in capability.

00:05:25: But it leads to the obvious challenge, doesn't it?

00:05:27: Leaders kept stressing that AI investments have to be rigorously aligned with workforce redesign.

00:05:33: Did the sources give any concrete examples of how companies are actually doing that, bridging that huge skills gap?

00:05:40: Or is it still mostly a high-level talking point?

00:05:43: Well, that is the essential strategic tension right now.

00:05:45: You hit it.

00:05:46: While the rhetoric is strong, the goal is sustained value through organizational readiness.

00:05:53: The specifics on how to actually do the workforce transformation, they were less prescriptive.

00:05:58: what was shared.

00:05:58: So

00:05:58: more what than how?

00:05:59: Exactly.

00:06:00: The emphasis was really on leadership discipline.

00:06:02: Recognizing that just installing the software achieves nothing unless the operating model, the human skills, adapt at the same time.

00:06:09: It's as much a change management challenge as a tech one.

00:06:12: Absolutely.

00:06:12: The tech scales faster than our capacity to use it best.

00:06:17: Let's shift to theme three then.

00:06:19: Robotics, drones, and autonomy.

00:06:21: We see that same maturity curve here, right?

00:06:23: Yeah.

00:06:24: Past the small pilots, now showcasing scalable, field-ready autonomous solutions that are actually integrated with maintenance systems.

00:06:32: The integration piece is key.

00:06:33: That's what makes it actionable now.

00:06:35: For instance, Technica's Reunitas, they showcased autonomous inspection robots.

00:06:39: Okay.

00:06:40: Equipped with multi-sensor arrays, LiDAR.

00:06:44: This isn't a toy.

00:06:45: It's industrial gear built for tough environments, capturing high-fidelity data.

00:06:49: And what are these systems primarily focused on tackling?

00:06:52: Sounds like uptime and safety metrics are driving the investment here.

00:06:55: They're the prime targets, yeah.

00:06:57: Exhibitors showed off AI-enabled inspection and reliability workflows specifically aiming to boost uptime and safety.

00:07:03: Makes sense.

00:07:04: We also saw concepts like autonomous patrols designed for those hard to reach assets.

00:07:08: Capturing consistent, reliable data that feeds directly into predictive integrity programs.

00:07:15: The focus is squarely on operationalizing autonomy.

00:07:18: The value is in the data stream, not just the cool robot itself.

00:07:22: It's

00:07:22: all about improving the bottom line through reliable data capture.

00:07:27: Okay, let's zoom out a bit now for theme four, strategy, policy, and the market outlook.

00:07:33: The overall tone here felt like injecting a big dose of execution discipline and market realism into that whole global transition discussion.

00:07:42: Yes,

00:07:42: very much so.

00:07:43: The dominant advice, certainly from the senior voices at ADPEC reported on LinkedIn, was this call for pragmatism over politics and making transition decisions.

00:07:50: Yeah.

00:07:51: A call for energy policy that has to balance security, global competitiveness, and a measured realistic pace for the transition.

00:07:57: And the market signal seemed to back that up.

00:07:59: OPEC signaled expected oil demand growth for twenty twenty five and kept a clear focus on stability, which sounds like a very practical near term

00:08:06: view.

00:08:07: Right.

00:08:08: But amidst all the talk of traditional supply and demand, a critical new factor emerged and a strategically challenging one.

00:08:14: What was that?

00:08:15: Sessions framed AI driven data centers as a material, a significant new driver of power demand.

00:08:22: Ah.

00:08:23: That's the strategic double-bind Aidapec highlighted, isn't it?

00:08:27: The very technology the industry is pouring billions into for efficiency is simultaneously becoming this massive new electricity consumer.

00:08:36: Precisely.

00:08:37: And this demand.

00:08:39: It requires coordinated energy planning going forward.

00:08:41: Senior leaders acknowledged this is a huge strategic headache.

00:08:44: It's a feedback loop.

00:08:45: Exactly.

00:08:46: Technological advancement directly challenges grid stability and long-term energy planning.

00:08:51: So the overall message across the strategy sessions was really urging execution discipline, focusing on diversified energy mixes and prioritizing technology-led productivity gains to try and manage this complexity.

00:09:02: Okay, so to round out our discussion, let's connect this powerful digital focus directly to theme five, sustainability and reliability tech, specifically measurable abatement and efficiency, moving past aspirational goals to verifiable outcomes.

00:09:16: Yes, that shift to measurable abatement was really palpable.

00:09:19: In terms of transition fuels, you had discussions positioning blue hydrogen as, you know, near term scalable.

00:09:25: Right.

00:09:26: But we also saw concrete product launches aimed squarely at reducing verifiable emissions.

00:09:33: Nevada, no, no, for example, introduced methane track.

00:09:35: two point oh,

00:09:36: okay, but then try two point oh, what's the focus there?

00:09:38: Automated methane emissions monitoring, but at a global scale, methane monitoring is so critical because of its near term warming impact, right, and having a global automated system.

00:09:48: really signals maturity in tackling it.

00:09:51: And that kind of tech advancement feeds right into the broader carbon management theme, I assume?

00:09:56: It

00:09:56: does.

00:09:56: Carbon management discussions focused intensely on sensor fidelity, basically, making sure the data you're getting is trustworthy and ensuring operational integration.

00:10:04: So you can act on it?

00:10:05: Exactly.

00:10:06: The point being, you need verifiable data and operational integration to achieve measurable abatement, not just estimated reductions.

00:10:13: And we also saw that reliability focus mirrored in core equipment efficiency.

00:10:18: You mentioned specific products like Salter promoting its HPRT model.

00:10:22: What is that exactly?

00:10:24: HPRT stands for High Pressure Regeneration Technology.

00:10:27: It's a good example of how efficiency is being engineered right into core components now.

00:10:31: The model focuses on maximizing energy efficiency and performance gains, specifically in high pressure applications, like gas processing.

00:10:39: It's an efficiency boost that directly impacts operational performance and lifecycle cost.

00:10:44: So the story holds together across all five themes, doesn't it?

00:10:47: AI-assisted integrity, sophisticated robotics, tech like HPRT.

00:10:52: It's all driving the shift towards predictive, data-rich maintenance, focused on measurable performance, maximizing uptime, and cutting lifecycle costs.

00:11:01: The digital transformation efforts aren't just innovation theater anymore, they're becoming the new standard for reliable operations.

00:11:08: Yeah, to kind of synthesize the main point for you, our listener.

00:11:11: ADPEC twenty twenty five really felt like the year the industry move from pilots to demanding production-ready solutions.

00:11:17: They're operationalized in powerful tools.

00:11:19: You see it with agentic AI like tele-launching, the deep integration of advanced robotics.

00:11:25: And this whole movement, it's underpinned by disciplined, execution-focused leadership.

00:11:31: Leadership

00:11:32: that gets the complexities.

00:11:33: Exactly.

00:11:33: Leadership that understands the strategic challenges like that massive power demand coming from AI itself.

00:11:40: It really feels like it's about doing the work now, not just planning it endlessly.

00:11:44: If you enjoyed this episode, new episodes drop every two weeks.

00:11:47: Also check out our other editions on cloud insights, sustainability and green ICT, digital products and services, health tech, defense tech, ICT and tech insights, and artificial intelligence.

00:11:58: Thanks for diving deep into this critical industry shift with us today.

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