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China Stockpiling Provides Temporary Price Floor

In an oil market update sent to Rigzone by the Rystad Energy team on Tuesday, Lin Ye, Rystad Energy Vice President, Oil Markets – Downstream, highlighted that “China’s stockpiling has provided a temporary price floor by mopping up excess supply”. “China’s oil stockpiling goes against the grain as the global oil market has been in […]

In an oil market update sent to Rigzone by the Rystad Energy team on Tuesday, Lin Ye, Rystad Energy Vice President, Oil Markets – Downstream, highlighted that “China’s stockpiling has provided a temporary price floor by mopping up excess supply”.

“China’s oil stockpiling goes against the grain as the global oil market has been in firm backwardation, where current prices are above future delivery prices, which does not support crude oil storage,” Ye said in the update, adding that, “conversely, crude inventories outside China have declined during the same period”.  

“China’s stockpiling has provided a temporary price floor by mopping up excess supply, yet its efficacy is constrained by geopolitical factors, global supply changes, and Beijing’s policy redirection,” Ye noted in the update.

“It is important to note that China’s crude inventory changes are a critical buffer for the global oil market, and not a permanent solution,” Ye went on to state. 

Rystad Energy’s oil market update highlighted that Brent M1 futures “have remained well above $65 per barrel for most of the last few months, even amid OPEC+’s faster unwinding production cuts since May”. 

The update outlined that the reason for this is because mainland China “has put 156 million barrels of crude oil into storage since March this year, with the stock build coming in at a monthly average of 1.16 million barrels per day from March to June”.

Looking at why China is storing crude oil, the update pointed to “geopolitics”, adding that “independents [are] seiz[ing]… opportunities amid fear of tougher sanctions [and] U.S. tariffs”. 

“Continued sanctions on Iran oil exports have matured the trading system, including the use of dark fleets to transport crude oil from Iran to a few Chinese ports, primarily those in Shandong,” the update noted.

“Sanctions from former U.S. President Joe Biden’s administration on Russia in early January this year added to the overall risks for crude export for Russia, Iran, and Venezuela. While China’s imports from these three countries were hit hard in January, these began to recover from February and climbed to a new high in March this year as workarounds were discovered,” it added.

“Yet, in anticipation of tougher sanctions from the west and the release of multiple rounds of sanction packages, Chinese independent refiners – who are typically seen as risk takers – along with all others along the supply chain, took advantage of the opportunity to import as much as possible and stored crude in inventories,” it continued.

The update stated that more arrivals of Iranian crude are expected in September, “as there are still many barrels awaiting discharge at Chinese ports”. 

It went on to state that China has worked to divert its import origins of natural gas liquids away from the U.S. after the tariff war, “even though ethane and propane purchases from the U.S. were exempt from higher tariffs”.

“However, risks of decoupling of the world’s two largest economies remain,” the update warned.

“Imported ethane and propane have offered routes to produce ethylene and propylene alongside imported naphtha and refinery-produced light feedstocks,” it said.

“A more muted reliance on imported feedstocks intensifies the alternative feedstock demand for crude oil as China’s refining sector has highlighted the technological development – ‘from crude to chemicals’ – as a core task,” it added.

Looking at how long China’s stockpiling will last, Rystad’s update highlighted that the country’s crude building “slowed in July and August” but said “the stockpiling [is] expected to gain momentum again in September”.

“In our base case scenario, 4Q 2025 will likely see China building stocks again and in 2026, although a lower level of build is expected on average in 2026 compared to this year,” the update said.

“We also believe that the drivers of China’s crude stockpiling will remain, especially as geopolitical risks remain,” it added.

“Our unsolved balances implied, driven by the quick unwinding of production cuts from OPEC+ and non-OPEC supply growth, the 2.14 million barrels per day of crude surplus from 4Q 2025 will drag oil prices lower, providing economic incentives to stockpile,” it continued.

Rigzone has contacted the State Council the People’s Republic of China and the State Council Information Office, the International Press Center of China’s Ministry of Foreign Affairs, the White House, the Iranian Ministry of Foreign Affairs, the Department of Information and Press of the Russian Ministry of Foreign Affairs, and the Embassy of the Bolivarian Republic of Venezuela located in The Hague, Netherlands, for comment on Rystad’s oil market update. At the time of writing, none of the above have responded to Rigzone.

A statement posted on OPEC’s website on September 7 revealed that Saudi Arabia, Russia, Iraq, the UAE, Kuwait, Kazakhstan, Algeria, and Oman “decided to implement a production adjustment of 137,000 barrels per day” at a virtual meeting held that day.

“The eight OPEC+ countries, which previously announced additional voluntary adjustments in April and November 2023 … met virtually on 7 September 2025 to review global market conditions and outlook,” the statement noted.

“In view of a steady global economic outlook and current healthy market fundamentals, as reflected in the low oil inventories, the eight participating countries decided to implement a production adjustment of 137,000 barrels per day from the 1.65 million barrels per day additional voluntary adjustments announced in April 2023,” the statement added.

This adjustment will be implemented in October 2025, the statement said. A table accompanying the statement posted on OPEC’s site outlined that Saudi Arabia and Russia’s adjustment amounts to 42,000 barrels per day, each. Iraq’s comes to 17,000 barrels per day, the UAE’s is 12,000 barrels per day, Kuwait’s is 11,000 barrels per day, Kazakhstan’s is 6,000 barrels per day, Algeria’s is 4,000 barrels per day, and Oman’s is 3,000 barrels per day, the table outlined.

The table highlighted that October 2025 “required production” is 10.020 million barrels per day for Saudi Arabia, 9.491 million barrels per day for Russia, 4.237 million barrels per day for Iraq, 3.387 million barrels per day for the UAE, 2.559 million barrels per day for Kuwait, 1.556 million barrels per day for Kazakhstan, 963,000 barrels per day for Algeria, and 804,000 barrels per day for Oman.

“The 1.65 million barrels per day may be returned in part or in full subject to evolving market conditions and in a gradual manner,” the statement posted on OPEC’s site noted.

“The countries will continue to closely monitor and assess market conditions, and in their continuous efforts to support market stability, they reaffirmed the importance of adopting a cautious approach and retaining full flexibility to pause or reverse the additional voluntary production adjustments, including the previously implemented voluntary adjustments of the 2.2 million barrels per day announced in November 2023,” it added.

“The eight OPEC+ countries also noted that this measure will provide an opportunity for the participating countries to accelerate their compensation,” it continued.

To contact the author, email [email protected]

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India Told to Drop Russian Oil for US Trade Deal

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FERC scraps plan to update gas infrastructure policy after DOE directive

At the Trump administration’s request, the US Federal Energy Regulatory Commission (FERC), an independent agency, abandoned its plan Sept. 12 to update the policy it uses to evaluate natural gas pipeline and LNG projects. The decision to scrap the long-running proceeding to revise the 1999 certificate policy for new natural gas facilities could indicate that the Department of Energy (DOE) intends to take a larger role in FERC policy, law firm Akin Gump Strauss Hauer & Feld LLP said in a recent blog post. While FERC’s adoption of the request to end the proceedings will not result in any immediate changes to FERC policy, Akins said “it does signal that the DOE intends to be more involved in FERC policy making going forward and may be the first in a string of DOE efforts to reshape energy policy within FERC’s traditional purview.” FERC had until the end of September to act on a directive from Energy Secretary Chris Wright to terminate the proceeding that the commission has worked on since 2018. Wright said the move was necessary to remove industry uncertainty. “We believe that the 1999 Certificate Policy Statement, as subsequently applied by the Commission, continues to provide the appropriate framework for reviewing proposed natural gas projects in a legally durable manner, pursuant to the Natural Gas Act and consistent with judicial precedent, as it has for over 25 years. Therefore, we are now withdrawing the draft Updated Certificate Policy Statement and closing the proceeding,” FERC wrote in the Sep. 12 order. The commission added that the topics addressed in the proceeding were “better considered on a case-by-case basis.” By terminating the proceeding, FERC would now have to initiate a new docket and develop a new record if it wants to seek a policy change in the future, Akins said.

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bp scales back biofuels ambitions, shelves Rotterdam project amid strategic shift

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ExxonMobil sanctions Hammerhead development offshore Guyana

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: #c19a06; } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; background-color: undefined !important; } ExxonMobil has taken final investment decision for the Hammerhead development in Stabroek block offshore Guyana after having received required regulatory approvals. The project will include 18 production and injection wells and utilize a floating production storage and offloading (FPSO) vessel with a capacity to produce about 150,000 b/d of oil. Hammerhead, the operator’s seventh project on the block, is expected to cost about $6.8 billion to develop, bringing total funds committed for seven approved projects to more than $60 billion, the company said. First oil from Hammerhead is anticipated in 2029. <!–> –> <!–> April 21, 2025 ]–> <!–> –> <!–> July 31, 2024 ]–> ExxonMobil produces about 650,000 b/d of oil from Stabroek block. With the recent successful startup of ONE GUYANA, a fourth FPSO, the company anticipates growing production to more than 900,000 bo/d by yearend. Construction is under way for the fifth and sixth approved projects, Uaru and Whiptail, with Uaru anticipated to start up in 2026 and Whiptail in 2027. ExxonMobil Guyana Ltd. is operator of the block with 45% interest. Partners are Chevron-owned Hess Guyana Exploration Ltd. (30%) and CNOOC Petroleum Guyana

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‘Nomads at the Summit’ Podcasts – Recorded Live at DCF Trends Summit 2025

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Data center provider Equinix has launched its Distributed AI infrastructure, which includes a new AI-ready backbone to support high performance distributed AI deployments spanning multiple data center facilities, a global AI Proving Ground to test new solutions, and Fabric Intelligence to better support next generation enterprise workloads. Equinix designed Distributed AI from the ground up to support the scale, speed, and complexity of modern intelligent systems, such as autonomous, agentic AI capable of reasoning, acting, and learning independently. AI is inherently distributed, drawing on multiple data sources in different locations. To effectively train a model, data must be drawn from multiple locations and processed where it lies, not moved around. This requires a new kind of infrastructure that is globally distributed, deeply interconnected, and fully programmable. Distributed AI links more than 270 data centers in over 60 markets, effectively including almost all Equinix’s facilities, according to the vendor.

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Cisco expands its quantum networking portfolio with new software prototypes

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Balancing AI’s opportunities and challenges to serve enterprises

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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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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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