Shell posts record profit, lifted by soaring energy prices
Shell posts record profit, lifted by soaring energy prices/node/2075971/business-economy
Shell posts record profit, lifted by soaring energy prices
Shell joins sector rivals, including BP and TotalEnergies in making big profits from the commodity price volatility stoked by Russia’s invasion of Ukraine. (Shutterstock)
Shell posts record profit, lifted by soaring energy prices
Boosted by strong refining margins, Shell’s adjusted earnings from refining and marketing refined products leapt to $1.17 billion from a loss of $130 million in the previous quarter and a profit of $781 million last year
Updated 05 May 2022
Reuters
LONDON: Shell reported on Thursday a record first-quarter profit of $9.13 billion, boosted by higher oil and gas prices, stellar refining profits and the strong performance of its trading division.
Shell joins sector rivals, including BP and TotalEnergies in making big profits from the commodity price volatility stoked by Russia’s invasion of Ukraine that began on Feb. 24.
It achieved the highest quarterly profits since 2008 even after writing down $3.9 billion post-tax as a result of its decision to exit its operations in Russia. It is also winding down oil and gas trading with Russia.
By the end of this year, Shell said it would also stop all of its long-term Russian crude oil purchases, except two contracts with a “small, independent Russian producer” that it did not name.
Its contracts to import refined oil products from Russia will also end, it said, adding it still had running long-term contracts to buy Russian liquefied natural gas.
The war in Ukraine “caused significant disruption to global energy markets and has shown that secure, reliable and affordable energy simply cannot be taken for granted,” Shell Chief Executive Officer Ben van Beurden said in a statement.
The European Union’s chief executive on Wednesday proposed a phased oil embargo on Russia that if backed by member states would be a watershed for the world’s largest trading bloc, which depends on Russian oil and gas.
Happy Returns
Shell said that its dividend payments and share repurchases reached $5.4 billion in the quarter, part of its plan to buy back $8.5 billion shares in the first half of the year.
Its dividend rose to 25 cents per share as planned.
In the current environment, it said it expects shareholder distributions to exceed 30 percent of cashflow in the second half of the year.
First-quarter adjusted earnings rose 43 percent from the previous quarter to $9.13 billion, above an average analyst forecast provided by the company for a $8.67 billion profit.
That compares with earnings of $3.23 billion a year earlier.
Boosted by strong refining margins, Shell’s adjusted earnings from refining and marketing refined products leapt to $1.17 billion from a loss of $130 million in the previous quarter and a profit of $781 million last year despite volumes falling to around 1.6 million bpd from 1.9 million.
Shell’s quarterly cashflow of $14.815 billion was heavily impacted by outflows of $7.4 billion as a result of changes in the value of oil and gas inventories.
The surge in revenue allowed Shell to cut its debt burden to $48.5 billion from $52.6 billion at the end of 2021.
The hidden side of clean power: why grid integration matters
Exploring the predator’s role in the region’s heritage and ecosystem
Updated 5 sec ago
Nada Alturki
RIYADH: As Saudi Arabia expands solar, wind, and battery projects, a critical piece of the sustainability puzzle often goes unseen: grid integration.
Before renewable plants can deliver power, engineers must ensure the grid remains stable, safe, and efficient under new loads. Integrating renewables into existing systems has become one of the toughest — and most crucial — steps toward building a truly sustainable energy network.
Engineers widely consider the electricity grid the largest and most complex machine ever built. As more renewable capacity comes online, managing it is becoming as much a data challenge as an energy one.
“A big share of Saudi Arabia’s electricity is generated from renewables and more projects are connected to the grid each year. This shift changes how the electricity grid is managed on a day-to-day basis,” Saeed Al-Zahrani, general manager of data enterprise storage leader NetApp in Saudi Arabia, told Arab News.
“To add context, traditional generation can usually be adjusted in a controlled way. Wind and solar, however, move with conditions such as cloud cover, dust, temperature and wind speed, meaning supply can rise and fall quickly,” he said.
In this environment, grid integration is less about whether enough electricity can be produced and more about whether operators can see and respond to changes across the network fast enough to maintain stability.
Frequency, voltage, congestion, and reserve margins all become more dynamic. Real-time measurements, accurate forecasting, asset status updates, and weather intelligence must come together into a reliable, unified system view.
“From NetApp’s perspective, this is where the data foundation matters most, because the grid can only act confidently when the information behind the decisions is timely, governed, and reliable,” Al-Zahrani said.
Under Vision 2030, Saudi Arabia aims to generate 50 percent of its energy from renewables — an ambitious target that introduces new technical and operational challenges. Weather variability, cyber threats, and system coordination can all affect grid stability.
“Every device that operates under this control regime that’s connected to the grid is digital nowadays. You have smart inverters, you have sensors, you have energy management systems, and all those devices and systems are potential entry points for attackers,” Charalambos Konstantinou, a professor at KAUST, told Arab News.
As solar capacity grows, ensuring seamless integration into the national grid has become one of the most complex challenges of the energy transition. (SPA)
His lab focuses on maintaining reliable and secure power infrastructure, developing faster and smarter control algorithms capable of responding to sudden changes in the power system.
“This is what we’re working to make sure that those algorithms remain robust. They remain resilient. They remain secure, even if something, maybe an extreme weather event, or a cyber attack, is aiming to disrupt them,” he said.
Rapid digitalization, however, can create vulnerabilities if security measures do not keep pace. In 2012, Aramco experienced the Shamoon attack, a computer virus that affected around 30,000 workstations.
“When you scale fast, security practices typically lack behind deployment, and this is essentially what we focus a lot in my group: making sure that internet-connected or digital devices cannot be used as an entry point to destabilizing the grid,” Konstantinou said.
One particularly concerning threat involves load-altering attacks, which can disrupt power systems without requiring deep penetration of the grid itself.
“If an attacker is able to control a large amount of what we call internet connected high voltage devices — think HVAC systems, air conditioning systems, water heaters, electric vehicle chargers — and is able to switch them on and off at the same time, simultaneously, then he or she can create a certain imbalance between generation and demand, and then the grid (becomes) very difficult to handle,” he said.
A view of an Aramco refinery in the Eastern Province. (Supplied)
Such disruptions could potentially trigger widespread blackouts.
Beyond cybersecurity risks, the physical environment also presents challenges. Saudi Arabia’s relatively consistent weather can be an advantage for renewable energy production, but factors such as dust accumulation on solar panels and thermal stress on inverters can still affect performance.
Testing technologies under local conditions — including extreme heat, network behavior, and the mix of generation assets — is essential before large-scale deployment. Equally important are intelligent coordination frameworks that allow flexible energy assets to work together while optimizing energy use across industries.
Renewable-heavy grids across Saudi Arabia and neighboring countries increasingly depend on real-time data from SCADA systems, substation automation, and weather monitoring to balance supply and demand. While these continuous data flows improve efficiency, they also introduce new risks, including potential system disruption and data manipulation.
Vasily Dyagilev, regional director for the Middle East, Russia and CIS at Check Point Software Technologies Ltd., highlighted the scale of these vulnerabilities.
Vasily Dyagilev, regional director of Check Point Software Technologies Ltd. for the Middle East. (Supplied)
“In Saudi Arabia, 58 percent of organizations have experienced information disclosure vulnerabilities, while remote code execution and authentication bypass remain significant threats. The complexity of managing legacy operational technology networks alongside modern cloud-based systems and third-party integrations makes it difficult for utilities to maintain full visibility over their risk landscape.
“The region has also seen high-profile incidents where attacks on SCADA systems led to operational disruptions, highlighting the fragility of critical infrastructure. Effective exposure management, including continuous vulnerability discovery and prioritized remediation based on operational risk, is now recognized as essential for maintaining grid stability and protecting the integrity of real-time data streams.”
Alongside cyber and operational risks, uncertainty in weather patterns remains a key variable in renewable power generation.
Omar Knio, another professor at KAUST, studies how atmospheric processes influence renewable energy systems through uncertainty quantification and climate modeling. Dust particles originating in the Arabian Peninsula, for instance, can travel thousands of kilometers and influence weather patterns across South Asia.
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“Phenomena at tiny little scales end up, through teleconnections, making very important contributions to weather patterns and to the climate as far as renewables themselves, because these phenomena affect the solar and wind potentials, they’re extremely important to predict accurately,” Knio said.
“The presence of dust in the atmosphere and cloud cover affect the output of solar panels or solar plants, and similar phenomena happen to wind, and that's why they are really challenging. It's important to be able to predict them as accurately as we can.”
Maintaining a stable renewable grid requires both short-term and long-term forecasting. Hourly predictions are essential for balancing supply and demand, while longer-term projections help planners prepare infrastructure and storage.
Artificial intelligence is increasingly helping researchers build models that forecast weather patterns, simulate thermal behavior in buildings, and analyze industrial energy use. In areas where detailed physical models are limited, AI also helps uncover patterns in human behavior and electricity consumption.
“An example is power demand, consumer behavior, or changes in patterns that have to do with the day of the week, whether it's a weekend, a holiday season, whether it's during harsh weather, or it's during Ramadan: how do these patterns change? And artificial intelligence is really bringing the capability for us to represent and forecast these very complex phenomena,” Knio said.
As renewable energy penetration approaches higher levels, the system becomes more sensitive to fluctuations and extreme events.
“There comes a point where we start having a very dramatic rise in the need for storage capabilities. And the important aspect of why our fuel is important. We can make them cleaner, but they’re wonderful in the sense that they are plentiful right now. They are cheap, but more importantly, they are quite economical to store after. After fuels come nuclear power. So it’s really that storage capability. As we approach 100 percent, the need for storage becomes extremely heightened,” Knio said.