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Hibiscus Spuds North Sea Teal West Development

Hibiscus Petroleum Berhad announced in a statement posted on its website recently that it commenced drilling at the Teal West Development, which is situated in the North Sea. The company noted in the statement that the Shelf Drilling Fortress jack-up rig prepared and mobilized from Invergordon, Scotland, on September 8, adding that it spudded a […]

Hibiscus Petroleum Berhad announced in a statement posted on its website recently that it commenced drilling at the Teal West Development, which is situated in the North Sea.

The company noted in the statement that the Shelf Drilling Fortress jack-up rig prepared and mobilized from Invergordon, Scotland, on September 8, adding that it spudded a new well at the Teal West field on September 14. Hibiscus highlighted in the statement that the field is located 2.4 miles from the Anasuria Floating, Production, Storage and Offloading facility.

“Once completed, the new well will be tied back to the Anasuria FPSO,” Hibiscus said in the statement.

The company revealed in the release that subsea installation activities are scheduled to take place in early Q2 2026, “with first oil expected by mid-2026”. Fluids from the Teal West well will be processed and exported from the Anasuria FPSO, Hibiscus added.

Hibiscus highlighted in the statement that Anasuria Hibiscus UK Limited (AHUK), Hibiscus Petroleum’s wholly owned subsidiary, operates the Anasuria FPSO through its Anasuria Operating Company joint venture with Ping Petroleum UK PLC, a subsidiary of Dagang NeXchange Berhad (DNeX).

Hibiscus said in the release that AHUK “recognizes that the UK oil and gas sector is under significant pressure, with activity levels at historic lows and that Teal West is one of only three development wells being drilled across the entire UK Continental Shelf in 2025”.

“Our approach is about firstly delivering value to our shareholders,” AHUK General Manager, Tom Reeve, said in the statement, commenting on the Teal West development.

“We are continuing to invest in the UK North Sea as we believe that at some point, factors such as energy security, the environmental cost of importing LNG, and the preservation of local jobs will encourage the UK government to proactively and positively revise the current fiscal regime,” he added.

“In the meantime, we are focused on delivering a safe and top quartile performance for the drilling operation currently being undertaken,” he continued.

Rigzone has contacted the UK Department for Energy Security and Net Zero (DESNZ) and HM Treasury (HMT) for comment on Hibiscus’ statement. At the time of writing, neither have responded to Rigzone.

Industry body Offshore Energies UK (OEUK) said in a statement sent to Rigzone recently that a reform of the windfall tax on domestic energy producers in 2026 will mean more jobs, more tax revenue, and better UK energy security.

The statement noted that a new report from the organization “shows that reforming the windfall tax would add an extra GBP 137 billion ($183.9 billion) to the UK economy, support 23,000 jobs, and unlock much needed investment to reduce reliance on energy imports”.

A profit based mechanism is OEUK’s proposed replacement for the current Energy Profits Levy (EPL), the statement highlighted, noting that it’s designed to “trigger only during periods of unusually high prices, tax excess profits or revenues, [and] adjust fairly when prices fall, restoring investor confidence”.

OEUK warned in the statement that the levy “is already having a severe impact on the sector”.

Rigzone previously contacted HMT and DESNZ for comment on that OEUK statement.

In response, a HMT spokesperson previously told Rigzone, “we know that oil and gas will be with us for decades to come and are managing the transition to clean energy in a balanced way that supports communities”.

“This includes Great British Energy, which has already announced GBP 1 billion ($1.3 billion) in investment in British supply chains, unlocking significant investment and helping to create thousands of skilled jobs,” the spokesperson added.

“The Energy Profits Levy will end by 31 March 2030, and we are working with the sector to explore how firms can continue to invest and pay their fair share of tax,” the spokesperson continued.

The statutory end date of the levy is March 31, 2030, but if prices fall consistently below levels set by the Energy Security Investment Mechanism, the levy will be repealed earlier than its sunset, HMT highlighted in its response to Rigzone.

DESNZ did not respond to that Rigzone request for comment.

In a statement made on March 5, which was posted on the UK parliament website, James Murray, the Exchequer Secretary to the Treasury, noted that the EPL was introduced in 2022 “in response to extraordinary profits made by oil and gas companies driven by global events, including resurgent demand for energy post-Covid 19 and the invasion of Ukraine by Russia”.

Hibiscus highlights on its website that, on March 10, 2016, the company, through its wholly owned subsidiary AHUK, acquired its first producing asset, “a package of geographically focused producing fields and associated infrastructure located in the North Sea, United Kingdom (UK), collectively known as the Anasuria Cluster (Anasuria)”.

“Anasuria delivers production that generates positive cashflow with infield future development opportunities and exploration upside,” the company states on its site.

“The addition of the Teal West discovery, an award to Hibiscus Petroleum as part of the UK Continental Shelf (UKCS) 32nd Licensing Round is a positive development which should contribute to an increase in Anasuria’s production by CY2025,” it adds.

The company goes on to state on its site that Anasuria Hibiscus acquired the discovered Marigold West and Sunflower oilfields on October 16, 2018, adding that “this shallow-water development asset will deliver a step change to our production volumes and revenue generating capacity in the future”.

“Additionally, in line with our efforts to aggregate 2C oil resources at a competitive unit cost per barrel (as part of an area-wide development), we applied for (and were awarded), the Kildrummy discovery (as part of the UKCS 32nd and 33rd Licensing Rounds),” it continues.

“On 15 September 2023, Anasuria Hibiscus and Caldera Petroleum UK Limited executed a Unitisation and Unit Operating Agreement (UUOA) with Ithaca Energy Limited for their interest in a field called Marigold East. The combined unit is called ‘Marigold’,” it notes.

“We have now established two potential production hubs in the UK. The existing Anasuria Cluster, which includes the Fyne and Teal West fields, and the Greater Marigold Area Development (GMAD), which encompasses the Marigold, Sunflower, Kildrummy and Crown fields,” the site highlights.

To contact the author, email [email protected]

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Riverbed survey reveals AI readiness gap

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Trump, Orban Talk Energy

Donald Trump and Viktor Orban held a phone conversation a day after the US president said he would press the Hungarian premier to stop purchasing Russian oil. The two leaders discussed energy security, in addition to Russia’s war on Ukraine, the global economy and tariffs, Hungarian Foreign Minister Peter Szijjarto said on the sidelines of the United Nations General Assembly in New York late Wednesday.  Their call came as pressure mounts on Hungary to at least reduce purchases as Western allies seek to dent Russia’s oil revenues, a major source of financing for its continuing invasion of Hungary’s eastern neighbor. On Tuesday, at a briefing with Ukrainian President Volodymyr Zelenskiy at the UN, Trump floated calling Orban to ask him to cut Hungary’s Russian oil procurements. Szijjarto publicly gave no indication that Hungary was ready to do that. Hungary, a European Union and NATO member, can’t scrap its Russian oil purchases due to “geographic and physical” reasons and Russia has been a “reliable partner,” Szijjarto told reporters after meeting his Russian counterpart Sergei Lavrov, with whom he’s maintained close contact even after Russia’s 2022 invasion. Slovakia, another landlocked EU nation neighboring Hungary, holds a similar position. Slovak Prime Minister Robert Fico said on Thursday he would send a government emissary to the US, to explain why it’s also not ready to phase out Russian energy. Facing pressure from Trump, the European Commission, the EU’s executive arm, is reviewing trade measures targeting imports of Russian oil via the Druzhba pipeline that feeds Hungary and Slovakia, Bloomberg reported on Sept. 20. EU foreign policy chief Kaja Kallas also told Bloomberg on Wednesday that the bloc should wean itself off Russian energy more quickly. Some member states which continued to buy from Moscow were “good friends of Trump,” she said, asking the US president to talk

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Is nuclear fusion power for real this time? Some utilities think so.

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India Pleads to Replace Russian Oil with Iranian Flows

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Seatrium Sells AmFELS Yard to Karpower Valley

Seatrium Limited has agreed to sell its AmFELS Yard in Brownsville, Texas, for $50.4 million to Karpower Valley LLC, a Karpowership-related party. Seatrium said in a media release that this sale will allow it to improve its capital and operational efficiencies while unlocking value from one of its surplus facilities. “We have a strong and long-standing relationship with Karpowership, and are pleased to entrust the yard to a partner with whom we will continue to deepen our collaboration. Notwithstanding the divestment, the U.S. market remains important to us”, Chris Ong, Chief Executive Officer of Seatrium, said. “We will continue to leverage our global footprint and integrated One Seatrium Delivery Model to deliver world-class solutions to our U.S.-based and global customers in the offshore and energy sectors”. Seatrium said it will shift its focus in the U.S. toward engineering innovation and technological capabilities through its technology centers and offices based in Houston, Texas, as well as a service center in Vicksburg, Mississippi, to meet the changing needs of its clients. The price will be paid in cash, with $38.8 million being deferred to be paid one year following closing. The finalization of the divestment is subject to standard closing conditions, including the Port of Brownsville transferring the lease to the new owner. Seatrium said it is dedicated to finishing all current projects at AmFELS Yard by the end of 2025. To contact the author, email [email protected] WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments will be removed. MORE FROM THIS AUTHOR

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Sempra Infrastructure Partners Makes FID on Port Arthur LNG Phase 2

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Woodside Gets Preliminary Deal to Supply LNG to BOTAS

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Cisco expands its quantum networking portfolio with new software prototypes

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NVIDIA and OpenAI Forge $100B Alliance to Power the Next AI Revolution

The new strategic partnership between OpenAI and NVIDIA, formalized via a letter of intent in September 2025, is designed to both power and finance the next generation of OpenAI’s compute infrastructure, with initial deployments expected in the second half of 2026. According to the joint press release, both parties position this as “the biggest AI infrastructure deployment in history,” explicitly aimed at training and running OpenAI’s next-generation models.  At a high level: The target scale is 10 gigawatts (GW) or more of deployed compute capacity, realized via NVIDIA systems (comprising millions of GPUs).  The first phase (1 GW) is slated for the second half of 2026, built on the forthcoming Vera Rubin platform.  NVIDIA will progressively invest up to $100 billion into OpenAI, contingent on deployment of capacity in stages.  An initial $10 billion investment from NVIDIA is tied to the execution of a definitive purchase agreement for the first gigawatt of systems.  The equity stake NVIDIA will acquire is described as non-voting / non-controlling, meaning it gives financial skin in the game without governance control.  From a strategic standpoint, tying investment to capacity deployment helps OpenAI lock in capital and hardware over a long horizon, mitigating supply-chain and financing risk. With compute frequently cited as a binding constraint on advancing models, this kind of staged, anchored commitment gives OpenAI a more predictable growth path (at least in theory; that said, the precise economic terms and risk-sharing remain to be fully disclosed.) Press statements emphasize that millions of GPUs will ultimately be involved, and that co-optimization of NVIDIA’s hardware with OpenAI’s software/stack will be a key feature of the collaboration.  Importantly, this deal also fits into OpenAI’s broader strategy of diversifying infrastructure partnerships beyond any single cloud provider. Microsoft remains a central backer and collaborator, but this NVIDIA tie-up further

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Balancing AI’s opportunities and challenges to serve enterprises

AI has taken the technology industry by storm, with enterprises deploying emerging applications to create business value. Amid this shift, operators are leveraging network automation, optical innovation and more to support enterprise AI use cases. Still, the technology ecosystem must balance AI’s opportunities with its challenges. While AI can improve operations, it can also leave companies more vulnerable to cyberattacks. As organizations deploy more AI tools and employees increasingly use them, the overall attack surface expands and opens more security gaps. This article explores how internet carriers are building their networks to support enterprises, while also discussing how operators are establishing trust with customers. Table stakes: reliability, diversity and reach AI’s requirements are similar to content distribution, cloud networking and previous industry shifts, but place even greater pressure on carrier-delivered enterprise network services.  In these services, network diversity is integral, allowing carriers to eliminate single points of failure in the event of an outage, then quickly reroute traffic through the next best available path. This improved reliability is vital for enabling real-time enterprise AI operations amid increased instances of network disruption due to geopolitical sabotage or accidental damage. As more hyperscalers build sprawling AI data center campuses, network reach will also prove even more crucial. By continuously expanding their network footprints, carriers can help enterprises access these sites no matter where they’re located, with operators’ high-capacity connectivity infrastructure facilitating the transfer of massive data volumes between these campuses. Similar to how content distribution networks rely on a robust network underlay, backbone connectivity provides the high-capacity, long-haul transport underpinning the delivery of AI inferencing responses. While the backbone itself does not cache or deliver these responses, its densely interconnected networks ensure that this AI traffic reaches regional and access networks, which then distribute responses to end users. Lightspeed: optical innovation With

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Microsoft’s new cooling tech targets AI’s thermal bottleneck as hyperscalers hit power ceilings

Rising thermal pressure on AI hardware AI workloads and high-performance computing have placed unprecedented strain on data center infrastructure. Thermal dissipation has emerged as one of the toughest bottlenecks, with traditional methods such as airflow and cold plates increasingly unable to keep pace with new generations of silicon. “Modern accelerators are throwing out thermal loads that air systems simply cannot contain, and even advanced water loops are straining. The immediate issues are not only the soaring TDP of GPUs, but also grid delays, water scarcity, and the inability of legacy air-cooled halls to absorb racks running at 80 or 100 kilowatts,” said Sanchit Vir Gogia, CEO and chief analyst at Greyhound Research. “Cold plates and immersion tanks have extended the runway, but only marginally. They still suffer from the resistance of thermal interfaces that smother heat at the die. The friction lies in the last metre of the thermal path, between junction and package, and that is where performance is being squandered.” Cooling costs: the next data center budget crisis Cooling isn’t just a technical challenge but also an economic one. Data centers spend heavily to manage the immense heat generated by servers, networking gear, and GPUs. Hence, the cost of cooling a data center is also a significant expense. “As per 2025 AI infra buildouts TCO analysis, over 45%-47% of data center power budget typically goes into cooling, which could further expand to 65%-70% without advancement in cooling method efficiency,” said Danish Faruqui, CEO at Fab Economics. “In 2024, Nvidia Hopper H100 had 700 watts of power requirements per GPU, which scaled in 2025 to double with Blackwell B200 and Blackwell Ultra B300 to 1000 W and 1400 watts per GPU. Going forward in 2026, it will again more than double by Rubin and Rubin Ultra GPU to 1800W

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Nvidia and OpenAI open $100B, 10 GW data center alliance

A Nvidia spokesperson said that this deal is separate from Project Stargate, the $500 billion data center project announced earlier this year featuring OpenAI, Oracle, and SoftBank. It launched with much hoopla but has since struggled to gain any traction. OpenAI is already an exclusive AI partner for Microsoft, offering ChatGPT through the Bing search engine and Microsoft Office 365. Microsoft promised in January to invest $85 billion in AI data centers. However, that deal seems to be unraveling. OpenAI Has partnered with Oracle to offer its services through Oracle Cloud Infrastructure, while Microsoft has added Anthropic’s Perplexity generative AI service alongside ChatGPT. OpenAI’s next-generation datacenters will use Nvidia’s Vera Rubin platform, which went into production in August and is expected to begin shipping late next year. They are expected to be capable of performing FP4 inference at 3.6 exaflops and FP8 training at 1.2 exaflops.

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Community Watch: Data Center Pushback – Q3 2025

As the pace of data center construction accelerates, so too does the wave of local resistance. While multi-billion-dollar investment announcements often draw national or even global attention, the disputes that arise around individual projects typically play out at the local or regional level — and receive far less visibility. With this recurring feature, Data Center Frontier will highlight community opposition efforts that are shaping, delaying, or in some cases halting, data center development. Tarboro, North Carolina: Energy Storage Solutions Project At first glance, the proposal seemed like a win for Tarboro: a $6.2 billion hyperscale data center on a 50-acre site already zoned for heavy industrial use. But after more than five hours of deliberation, the town council voted 6–1 against granting a special use permit for the project. North Carolina’s unusual quasi-judicial process limited how the council could reach its decision. Because the permit required a courtroom-style proceeding, members were allowed to weigh only factual evidence and expert testimony, not personal opinions or community objections. Developer Danieal Schaffer has since stated he will take the next step of appealing the decision to the Edgecombe Superior Court. Menomonie, Wisconsin: Mystery Data Center Raises Alarm When the town of Menomonie annexed more than 300 acres of farmland, residents quickly grew uneasy about the project’s true purpose. Official information was limited to a vague reference to a “potential data center,” accompanied by a FAQ article on the town’s website. According to Fox Business News, city officials were told only that the project involved a U.S. company and one of the five major tech firms. In a community of just over 16,000 people, opposition has gained significant traction. A Facebook group called Save Our City. Stop the Menomonie Data Center now counts more than 8,000 members. With no clear tenant identified and only

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

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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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