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Petrobras Sells First Biofuel-Blend VLSFO in Singapore

State-owned energy company Petróleo Brasileiro S.A. (Petrobras) completed its first sale of very low sulfur fuel oil (VLSFO) with 24 percent renewable content in the Asian bunker market. The company said in a media release that it sold the VLSFO with Golden Island, a licensed bunker supplier in Singapore, noting that the sale was made […]

State-owned energy company Petróleo Brasileiro S.A. (Petrobras) completed its first sale of very low sulfur fuel oil (VLSFO) with 24 percent renewable content in the Asian bunker market. The company said in a media release that it sold the VLSFO with Golden Island, a licensed bunker supplier in Singapore, noting that the sale was made in early February, for delivery before the end of the month.

The product sold by Petrobras Singapore consists of a mixture comprising 76 percent mineral fuel oil, primarily obtained from Petrobras refineries, and 24 percent used cooking oil methyl ester (UCOME), a biofuel created from the processing of used cooking oil (UCO) sourced locally, the company said. It added that Petrobras Singapore holds the ISCC EU certification, “which guarantees that its product meets the strict sustainability criteria that accompany the biofuel logistics chain involved in the process”.

For the formulation, Petrobras said it used the facilities of the Jurong Port Universal Terminal, where it has a lease agreement for fuel oil and B24 tanks. The process of supplying bunkers with renewable content adheres to the same operational procedures used for 100 percent mineral bunkers, primarily utilizing smaller vessels to load the product at the terminal and deliver it to the consuming ship, Petrobras said.

“The commercialization of VLSFO with 24 percent renewable content in the Asian market is in line with Petrobras’ strategy of developing new products towards a low-carbon market, innovating to generate value for the business, and enabling solutions in new energy and decarbonization”, Claudio Schlosser,  Petrobras’ Director of Logistics, Commercialization and Markets, said.

The first VLFSO sale in the Asian bunker market comes only days after the company reported that it had hit all its production targets for the year 2024, set out in its 2024-2028+ Strategic Plan, within the ±4 percent range. Total oil and natural gas production reached 2.7 million barrels of oil equivalent per day (boed), Petrobras said.

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Georgia Follows Ohio’s Lead in Moving Energy Costs to Data Centers

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Chevron, GE Vernova, Engine No.1 Join Race to Co-Locate Natural Gas Plants for U.S. Data Centers

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Podcast: Phill Lawson-Shanks, Chief Innovation Officer, Aligned Data Centers

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Talen Energy Continues Behind-the-Meter Power Fight for AWS Data Center Campus

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As Intel Stumbles, AMD Sees Significant Growth In Its Data Center and AI Business

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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

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2025 playbook for enterprise AI success, from agents to evals

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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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