LNG

This paper describes a deep-learning image-processing model that uses videos captured by a specialized optical gas imaging camera to detect natural gas leaks.

This paper aims to provide insights to address the challenge of identifying the optimal point within the gas-processing lineup for recovering a high-purity CO₂ stream suitable for sequestration.

Recently, artificial intelligence (AI), deep learning (DL), and machine learning (ML) have taken natural gas processing and handling on a new trajectory, replacing complex simulation runs.

In the next 3 to 5 years, South America and the Middle East will lead global investment, driven by greenfield developments, exploration, and midstream infrastructure. Brazil’s growth is fueled by deepwater pre-salt projects, while the Middle East focuses on gas and LNG, especially in Qatar, Saudi Arabia, and the UAE.

An oversupply of LNG carriers is putting downward pressure on charter rates, pushing them to historic lows. Newbuild LNG carrier deliveries have been outpacing the construction and permitting of new liquefaction facilities needed to support them.

Assets include regasification and power generation facilities along with associated pipelines.

Cooldown cargo is set to be delivered to Kitimat, BC, from Australia in early April, the final step prior to official startup.

The proposed joint venture aligns with Eni's satellite model strategy to create entities that manage operations and access capital markets separately from the parent company.

Key drivers of the rapid growth projection include Asia’s economic outlook and the rise of artificial intelligence.

Fresh permit will allow the project to move forward towards FID this fall, first production expected in early 2029.