Daily Newsletter

09 November 2023

Daily Newsletter

09 November 2023

Saudi Aramco Q3 net income plummets 23% on lower oil prices

Total hydrocarbon production stood at 12.8 million barrels of oil equivalent per day.

Shivam Mishra November 08 2023

Saudi Aramco has reported a net income of $32.58bn (SR122.18bn) for the third quarter of 2023, a 23.2% decline from $42.43bn (SR159bn) a year ago.

Revenue and other income related to sales during the quarter fell 20.3% to $130.38bn from $163.7bn last year.

The Saudi Arabian oil and gas company said financial results were primarily impacted by the fall in hydrocarbon prices and lower margins in refining and chemicals.

In the third quarter of 2023, Aramco’s total hydrocarbon production stood at 12.8 million barrels of oil equivalent per day.

Earnings before interest, income taxes and zakat from the upstream operations declined 22.7% to $60.63bn from $78.39bn in the year-ago period.

Both lower average realised crude oil prices and fewer volumes sold contributed to the decline in upstream earnings, which was somewhat offset by a decline in production royalties.

During the quarter that ended on 30 September, the energy giant advanced its gas expansion plan through the expansion of the Hawiyah Gas Plant.

This increased the plant's raw gas processing capacity by 800 million cubic feet per day (mmcfd), which includes about 750mcfd of sales gas processing capacity.

Aramco maintained its dividend policy by announcing base dividend of $19.5bn, which will be paid in the fourth quarter.

Aramco president and CEO Amin Nasser said: “During the third quarter we agreed to make our first international investment in liquefied natural gas (LNG) to capitalise on rising LNG demand, and announced our intention to enter the South American retail market.

“These planned investments demonstrate the scale of our ambition, the broad scope of our activities, and the disciplined execution of our strategy. We intend to continue investing across the hydrocarbon chain, leveraging cutting-edge technologies to optimise our operations and advance the development of emerging energy solutions.”

Could Machine learning (ML) adoption be a key growth catalyst in the O&G market?

ML can be used to analyze seismic data, well logs, and other geologic data to identify potential reservoirs. ML algorithms are also capable of analyzing production data and identifying patterns that can be used to improve well performance. This can lead to increased production rates and reduced downtime. Besides, this analysis can also be used to identify potential hazards, thereby preventing any untoward incidents and boosting operational safety.

Newsletters by sectors

close

Sign up to the newsletter: In Brief

Your corporate email address *
First name *
Last name *
Company name *
Job title *
Visit our Privacy Policy for more information about our services, how we may use, process and share your personal data, including information of your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address.

Thank you for subscribing

View all newsletters from across the GlobalData Media network.

close