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The Papers: UK-made drones 'strike Russia' and 'phone theft Britain'

BBC News

Image caption, The Sunday Times says British drones strike targets inside Russia, reporting that drones made by two UK companies have been supplied to Ukraine and used to attack the Russian mainland for the first time. Citing Ukrainian sources, it explains that Kyiv's deep-strike campaign involves targeting oil refineries, naval bases, logistics hubs and transport networks inside Russia. Image caption, The Sunday Telegraph leads with new plans backed by the government which could see water companies given the green light to increase bills at times of high demand. It explains that firms could impose surge pricing and factor water scarcity into bills, meaning they could charge more in droughts. A government spokesperson tells the paper that the new system could cut bills for more consumers, while it quotes water campaigners warning that it could see suppliers penalising consumers for their own failures.


Russian regions report new fuel crunch as Kyiv hits refineries

The Japan Times

Thick plumes of smoke with flames rise from an oil refinery following a Ukrainian drone attack, in the course of Russia-Ukraine conflict, in Moscow on June 18, in this picture obtained from social media. Several regions of Russia are facing fuel shortages again after Ukraine resumed almost daily attacks on oil refineries in the country. The Orenburg region in Russia's Urals introduced a rationing system starting Wednesday that allows sales based on vehicle license plates, limits gasoline and diesel sales per driver at the pump and bans the filling of fuel canisters. That followed Ukraine's drone strike Tuesday on the Orsk refinery in the region that's some 1,500 kilometers southeast of Moscow, which officials said could take as long as six months to repair. In a time of both misinformation and too much information, quality journalism is more crucial than ever.


Drone strikes power station near Libya's largest oil refinery

Al Jazeera

A drone has struck a power station in Libya's western city of Zawiya, near the country's largest operational oil refinery. The oil refinery has been the target of several attacks in recent days prompting the government to consider a shutdown. Trump says secret plane switch'up to the Secret Service' Stronghold of Syrian revolution celebrates Assad's death sentence


Huge fire breaks out at Libya's Zawiya refinery after drone attack

Al Jazeera

Fire rages after drone strikes Libya's largest oil refinery Firefighters in Libya are battling a massive blaze at the Zawiya refinery following a drone attack, with the country's national oil company warning it may declare a force majeure and shut down operations if attacks continue. Libya's Ambulance and Emergency Service said in a statement on Tuesday there were no "serious injuries" from the fire, with most patients treated for smoke inhalation. It is located about 40km (25 miles) west of the capital, Tripoli. The National Oil Corporation (NOC) said in a statement on Facebook that the fire broke out on Monday evening at tank number 402-T, belonging to the Brega Oil Company. It said the tank, which contained about 4.5 million litres (1.2 million gallons) of gasoline, was "directly targeted, resulting in a severe fire before the tank completely collapsed".


Fire rages after drone strikes Libya's largest oil refinery

Al Jazeera

Fire rages after drone strikes Libya's largest oil refinery Fire rages after drone strikes Libya's largest oil refinery A drone attack ignited gasoline at Libya's Zawiya oil refinery, the country's largest operational facility. No casualties were reported, but days of strikes from unknown attackers have forced Libya's National Oil Corporation to consider suspending operations. China's Long March 7A rocket explodes after lift-off Where did all the money go if the US is running out of weapons?


At least 13 killed in Ukrainian drone strike on Russia's Tatarstan region, officials say

BBC News

At least 13 killed in Ukrainian strike on Russia's Tatarstan region, officials say At least 13 people have been killed in a Ukrainian drone strike on the Russian republic of Tatarstan, officials have said. One child was among the victims with 75 more people injured, Russian authorities said, in one of the deadliest single attacks on Russia since the start of Moscow's full-scale war in Ukraine. Kyiv has not yet commented on the strike on the city of Nizhnekamsk, which is more than 1,100 kilometres (680m) from the Ukrainian border. Ukraine's Armed Forces confirmed Nizhnekamsk's Tanevo oil refinery had been hit, while Ukrainian defence technology manufacturer FirePoint said its FP-1 drones had been used in the attack. The strike lasted several hours overnight and into the morning, local sources say.


Man builds fire-spouting propane pipe organ

Popular Science

It sounds as metal as it looks. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The invention uses standard spark plugs and ignition coils to create the flames. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .


From Data to Action: Accelerating Refinery Optimization with AI

arXiv.org Machine Learning

Nowadays refinery optimization utilizes sheer amounts of data, which can be handled with modern Linear Programming (LP) software, but the interpreting and applying the results remains challenging. Large petrochemical companies use massive models, with hundreds of thousands of input matrix elements. The LP solution is mathematically correct, but simplifications are made in the model, and data supply errors may occur. Therefore, further insight is needed to trust the results. The LP solver does not have a memory, so additional understanding could be gained by analyzing historical data and comparing it to the current plan. As such, machine learning approaches were suggested to support decision making based on the LP solution. Among these, Anomaly Detection tools are proposed to be used in tandem with the LP output. A transformed version of the popular ECOD methodology is applied. New methods are proposed to handle high-dimensional data: choosing the most informative pairs. Then, this is used alongside two 2D Anomaly Detection algorithms, revealing several business opportunities and data supply errors in the MOL refinery scheduling and planning architecture.