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SPE Aberdeen Officially Announces 2025 OAA Finalists

In a release sent to Rigzone on Tuesday, SPE (Society of Petroleum Engineers) Aberdeen Section officially announced the finalists for this year’s Offshore Achievement Awards (OAA). The OAAs recognize outstanding achievements in the energy industry, according to SPE Aberdeen’s website, which notes that the awards “give recognition to the superlative achievements of those who go […]

In a release sent to Rigzone on Tuesday, SPE (Society of Petroleum Engineers) Aberdeen Section officially announced the finalists for this year’s Offshore Achievement Awards (OAA).

The OAAs recognize outstanding achievements in the energy industry, according to SPE Aberdeen’s website, which notes that the awards “give recognition to the superlative achievements of those who go above and beyond in the energy sector”.

The OAAs will take place on March 13 at the P&J Live in Aberdeen this year, the release highlighted. It pointed out that this iteration of the OAAs will mark the 38th time the awards ceremony has taken place.

“This year’s event saw the introduction of two new awards and a record number of applicants across all award categories,” SPE Aberdeen noted in the release.

The full list of finalists for this year’s event can be seen below:

Emerging Technology

BP

Cavitas Energy

Hydrafact Ltd

Field Proven Technology

Seek Ops

TechnipFMC

Zelim

Collaboration

Bp/Weatherford

Score Group

Wood

Sustainability

ASCO

J+S Subsea

TWMA

Skills Development

3t Training Services

Aberdeenshire Council Foundation Apprenticeships

BP

Stats Group

Offshore Workplace of Choice

Bumi Armada

Harbour – Lomond Platform

Ithaca

Serica – Bruce Platform

Inclusivity Champion

Stork

Eilidh Reid, TAQA Well Completions

Weatherford

Industry Expert

Mike Smith, BP

Michael Laird, Enermech

Fraser Thomson, Oceaneering

Dr Rachel Gavey, sustain:able

Professor Jon Gluyas, The National Geothermal Centre

Young Professional

Nandini Nagra, BP

Dr Callan Noble, Fennex

Stuart Hamilton, Fugro

Hamish Adamson, Harlyn Solutions

Darrell Lines, Integrity HSE

Tanya Gill, PBS

Alex McAuley, TAQA UK

Industry Returner/Transferer

Gypsy Castillo, Harbour Energy

Shabnum Hanif, IntrospeXion

Mariana Yarnold, PBS

Laura Beaton, Wood

SPE Aberdeen noted in the release that the Significant Contribution Award will be announced on the evening of this year’s awards ceremony.

“The caliber of entries this year has been truly outstanding,” Graham Dallas, Chair of the Offshore Achievement Awards Committee, said in the release.

“Selecting just 40 finalists from 135 submissions was an immense challenge, reflecting the exceptional innovation and technical excellence that continues to define our industry,” he added.

“Each entry demonstrated remarkable commitment to advancing our sector, and I commend every organization that shared their achievements,” he continued.

George Rennie, Vice President Offshore E&M UK at Bilfinger, which is the event’s principal sponsor, said in the release, “I was honoured to be part of the judging panel for the Offshore Achievement Awards, which Bilfinger UK proudly sponsors”.

“Hosting the judging session at our Aberdeen office has been a fantastic experience, allowing us to witness first-hand the remarkable talent and innovation within the industry,” he added.

“I extend my gratitude to all the nominees for their outstanding contributions and dedication and my congratulations to the finalists,” he continued.

In a statement posted on its website in September last year, SPE Aberdeen announced the official launch of the SPE Aberdeen Offshore Achievement Awards 2025. The organization highlighted in the statement that the launch took place during its 50th year.

“We are very aware of the impact that recognition of excellence and those who achieve it can have upon an organization as we are experiencing this first hand at SPE Aberdeen after winning two prestigious Presidential Awards for Outstanding Section, in both the Community Involvement and Technical Dissemination categories by SPE International,” Dallas said in that statement.

“I highly recommend you take the time to enter the OAAs as it could really make a significant impact on your business,” he added.

“We have some new categories this year as we continually adjust and adapt to ensure relevance to the individuals and organizations that continue to innovate and inspire,” Dallas went on to state.

In that statement, SPE Aberdeen Section noted that, “to further recognize Diversity, Equity and Inclusion, the Inclusivity Champion Award will recognize leadership by either a company, team or individual, who has been exceptionally proactive in demonstrating diversity, equity and inclusivity in the offshore energy sector”.

The organization added in that statement that the new Offshore Workplace of Choice Award “will recognize a company that can demonstrate excellence in creating a positive culture and working environment for staff and contractors”. The award can be for any UK Continental Shelf manned fixed platform, drilling unit or floating facility, including FPSOs, the statement said.

“We are thrilled to partner with the SPE Aberdeen Offshore Achievement Awards on the inaugural ‘Offshore Workplace of Choice’ Award,” Louise Martin, Director of RigRun, said in that statement.

“From our work in the sector, we’ve seen offshore energy companies make tremendous efforts to engage with staff and contractors to improve physical, mental and social wellbeing. It will be an honor to formally recognize these outstanding contributions in March 2025,” Martin added.

That statement highlighted that the Industry Returner/Transferer Award was another new addition. It outlined that this award recognizes “the fact that careers are not always straightforward” and “celebrate[s] the positive impact of the experience and life skills of people who have returned from a career break or have moved across from another industry”.

In a statement posted on its site in March 2024, SPE Aberdeen announced the winners of the 37th OAAs. The full list of OAA 2024 winners can be seen below:

Pre-Commercial Deployment Technology Award

Mocean Energy

Post-commercial Deployment Technology Award

Sentinel Subsea

Collaboration Project Award,

The Wellgear Group

Sustainability Project Award

Peterson Energy Logistics

Skills Development Award

Score Group

Young Professional Award

Fraser Stewart – JFD Global

Exceptional SME or Exceptional Founder Award

Wellvene

Transformational Technology Award

Balmoral Group

Diversity & Inclusion Judges Award

Dushant Sharma, BP

Significant Contribution Judges Award

Steve Rae

The statement highlighted that highly commended certificates were also awarded to:

Pre-Commercial Deployment Technology Award – Clear Well Technology

Sustainability Project Award – Bumi Armada

Skills Development Award – X Academy

Exceptional SME or Exceptional Founder Award – J&S Subsea

“Congratulations to our 2024 award winners and finalists,” Dallas said in that statement.

“We received record entries this year so all the finalists and winners should be proud to be recognized within this extended pool of talent,” he added.

“As a result of the entries, it has also been wonderful to take stock of the incredible innovations and progress the sector has made as we also celebrate SPE Aberdeen’s 50th year,” he continued.

That statement highlighted that around 400 guests attended the black-tie ceremony hosted by “broadcaster, presenter, and professionally trained opera singer Wynne Evans”.

In a statement posted on industry body Offshore Energies UK’s (OEUK) website in November, OEUK highlighted that around 600 people “from across the industry” were present at the 2024 Offshore Energies UK awards ceremony in November last year, which was also held at the P&J Live in Aberdeen.

Chief Executive David Whitehouse hailed that awards ceremony in the statement, calling it “the largest awards event we’ve had for a decade with over 40 finalists inspiring us with their achievements”.

The statement noted that the OEUK Awards “recognize outstanding performance from companies, as well as high-performing individuals, for their unique contributions to the sector”.

To contact the author, email [email protected]

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BW Energy granted 25-year extension of license offshore Gabon

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Santos plans development of North Slope’s Quokka Unit

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Fluor, Axens secure contracts for US grassroots refinery project

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EIA: US crude inventories up 3.1 million bbl

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Oil prices plunge as Iran war tensions ease amid tentative Hormuz reopening

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EIA: Brent crude to reach $115/bbl in second-quarter 2026

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OpenAI puts part of Stargate project on hold over runaway power costs

OpenAI has postponed plans to open one of the data centers central to its Stargate project. It announced its plan to open the data center in the UK with great fanfare last September, when it was regarded as a major boost for the country’s nascent AI industry, as well as proving a step up for OpenAI’s international credentials. At the time, Sam Altman, CEO of OpenAI, said, “The UK has been a longstanding pioneer of AI, and is now home to world-class researchers, millions of ChatGPT users, and a government that quickly recognized the potential of this technology.” All of that has been quietly forgotten. The plans for the data center in Northumberland, in the Northeast of England, have been put on hold, with the project ready to be revived when the conditions are ripe for major infrastructure investment, according to a report by the BBC.

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Neoclouds gain momentum in a supply-constrained world

And since they used the same hardware, both neoclouds and traditional cloud providers are subject to the same shortage problem. Component suppliers are reporting significant shortages due to demand for AI data centers and Synergy sees neoclouds also experiencing delays just like traditional cloud providers. “Demand is currently outstripping supply,” said Dinsmore. “It will take a while before that starts to come into more balance.” Among neoclouds, CoreWeave stands out as the most direct challenger to traditional hyperscale cloud providers. Meanwhile, OpenAI and Anthropic represent a distinct but increasingly important category, and that is platform-centric providers offering cloud-like access to foundational models and AI development environments. Synergy says that as demand for AI infrastructure accelerates, neoclouds are positioning themselves as focused alternatives to traditional hyperscale providers such as Amazon, Microsoft and Google.

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What is AI networking? How it adds intelligence to your infrastructure

The end goal is to make networks more reliable, efficient and performant. Enterprises are already seeing notable results when AI is applied to IT operations, including shorter deployment times, a decrease in trouble tickets, and faster time to resolution. With the help of AI, networks  will become more autonomous and self-healing (that is, able to address issues without the need for human intervention). In fact, Tier 1 and Tier 2 infrastructure is moving toward ‘no human in the loop,’ Nick Lippis, co-founder and co-chair of enterprise user community ONUG, recently told Network World. In time, humans will only need to step in for policy exceptions and high-risk decisions. “Layering in AI capabilities makes LAN management applications easier to use and more accessible across an organization,” Dell’Oro Group analyst Sian Morgan said. Gartner predicts that, by 2030, AI agents will drive most network activities, up from “minimal adoption” in 2025. The firm emphasizes that leaders who overlook the AI networking shift “risk higher MTTR [meantime to repair], rising costs, and growing security exposure.” The core components of AI networking It’s important to note that the use of AI and machine learning (ML) in network management is not new. AI for IT operations (AIOps), for instance, is a common practice that uses automation to improve broader IT operations. AI networking is specific to the network itself, covering domains including multi-cloud software, wired and wireless LAN, data center switching, SD-WAN and managed network services (MNS). The incorporation of generative AI, in particular, has brought AI networking to the fore, as enterprise leaders are rethinking every single aspect of their business, networking included.

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Aria Networks raises $125M and debuts its approach for AI-optimized networks

That embedded telemetry feeds adaptive tuning of Dynamic Load Balancing parameters, Data Center Quantized Congestion Notification (DCQCN) and failover logic without waiting for a threshold breach or a manual intervention. The platform architecture is layered. At the lowest levels, agents react in microseconds to link-level events such as transceiver flaps, rerouting leaf-spine traffic in milliseconds. At higher layers, agents make more strategic decisions about flow placement across the cluster. At the cloud layer, a large language model-based agent surfaces correlated insights to operators in natural language, allowing them to ask questions about specific jobs or alert conditions and receive context-aware responses. Karam argued that simply bolting an LLM onto an existing architecture does not deliver the same result. “If you ask it to do anything, it could hallucinate and bring down the network,” he said. “It doesn’t have any of the context or the data that’s required for this approach to be made safe.” Aria also exposes an MCP server, allowing external systems such as job schedulers and LLM routers to query network state directly and integrate it into their own decision-making. MFU and token efficiency as the target metrics Traditional networking is often evaluated in terms of bandwidth and latency. Aria is centering its platform around two metrics: Model FLOPS Utilization (MFU) and token efficiency. MFU is defined as the ratio of achieved FLOPS per accelerator to the theoretical peak. In practice, Karam said, MFU for training workloads typically runs between 33% and 45%, and inference often comes in below 30%. “The network has a major impact on the MFU, and therefore the token efficiency, because the network touches every aspect, every other component in your cluster,” Karam said.

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New v2 UALink specification aims to catch up to NVLink

But given there are no products currently available using UALink 1.0, UALink 2.0 might be viewed as a premature launch Need to play catch up David Harold, senior analyst with Jon Peddie Research, was guarded in his reaction. “While 2.0 is a significant step forward from 1.0, we need to bear in mind that even 1.0 solutions aren’t shipping yet – they aren’t due until later this year. So, Nvidia is way ahead of the open alternatives on connectivity, indeed ahead of the proprietary or Ethernet based solutions too,” he said. What this means, he added, is that non-Nvidia alternatives are currently lagging in the market. “They need to play catch up on several fronts, not just networking. … I can’t think of a single shipping product that meaningfully has advantages over a Nvidia solution,” he said. “Ultimately UALink remains desirable since it will enable heterogeneous, multi-vendor environments but it’s quite a way behind NVLink today. ” There are plenty of signs that organizations will find it hard to break free of the Nvidia dominance, however. A couple of months ago, RISC-V pioneer SiFive signed a deal with Nvidia to incorporate Nvidia NVLink Fusion into its data center products, a departure for RISC companies. According to Harold, other companies could be joining it. “Custom ASIC company MediaTek is an NVLink partner, and they told me last week that they are planning to integrate it directly into next-generation custom silicon for AI applications,” he said. “This will enable a wider range of companies to use NVLink as their high-speed interconnect.” Other options And, Harold noted, Nvidia is already looking at other options. “Nvidia is now shifting to look at the copper limit for networking speed, with an interest in using optical connectivity instead,” said Harold.

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Nvidia’s SchedMD acquisition puts open-source AI scheduling under scrutiny

Is the concern valid? Dr. Danish Faruqui, CEO of Fab Economics, a US-based AI hardware and datacenter advisory, said the risk was real. “The skepticism that Nvidia may prioritize its own hardware in future software updates, potentially delaying or under-optimizing support for rivals, is a feasible outcome,” he said. As the primary developer, Nvidia now controls Slurm’s official development roadmap and code review process, Faruqui said, “which could influence how quickly competing chips are integrated on new development or continuous improvement elements.” Owning the control plane alongside GPUs and networking infrastructure such as InfiniBand, he added, allows Nvidia to create a tightly vertically integrated stack that can lead to what he described as “shallow moats, where advanced features are only available or performant on Nvidia hardware.” One concrete test of that, industry observers say, will be how quickly Nvidia integrates support for AMD’s next-generation chips into Slurm’s codebase compared with how quickly it integrates its own forthcoming hardware and networking technologies, such as InfiniBand. Does the Bright Computing precedent hold? Analysts point to Nvidia’s 2022 acquisition of Bright Computing as a reference point, saying the software became optimized for Nvidia chips in ways that disadvantaged users of competing hardware. Nvidia disputed that characterization, saying Bright Computing supports “nearly any CPU or GPU-accelerated cluster.” Rawat said the comparison was instructive but imperfect. “Nvidia’s acquisition of Bright Computing highlights its preference for vertical integration, embedding Bright tightly into DGX and AI Factory stacks rather than maintaining a neutral, multi-vendor orchestration role,” he said. “This reflects a broader strategic pattern — Nvidia seeks to control the full-stack AI infrastructure experience.”

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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Financial services

This page brings together essential resources to help financial institutions evaluate, adopt, and scale AI in regulated environments. Whether you’re exploring early use cases or

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