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The future of oil and gas technologies seems promising and full of opportunities from a young professional’s perspective. The floor is wide open for disruptive inventions that can significantly optimize operations.

Energy trader Vitol also made an unspecified strategic investment in Delfin Midstream.

Nations coming together with common interests and approaches to energy is a hallmark of the modern times. Nations in South America and the Caribbean are also joining the trend via strategic energy alliances as disclosed by the presidents of Guyana and Suriname at a recent conference in Suriname, Paramaribo.

The local player completes second field in Block 1(a) off the west coast of Trinidad. The unmanned platform is completely powered by solar and wind.

The two organizations recently signed a letter of cooperation. The agreement creates an opportunity to accelerate the practical application of human factors in the energy industry and create a bridge between energy industry professionals and human factors experts.

How can you most effectively share your insights about technologies, new concepts, and innovations with SPE members? In this column, Bob Pearson, technical director of Production and Facilities, presents a concise guide to the many alternatives SPE provides to its members.

Schneider Electric University has been designed to help data center professionals expand their skills by offering free guidance on the latest technology, sustainability, and energy efficiency initiatives.

If OPEC's expectations for demand hold true, the 13-member exporting group will need to add more than 3 million B/D to the market by the end of next year.

New Fortress Energy again taps the engineering giant for one of its modular LNG plants, this one using fixed platforms.

With speakers from various disciplines and professions, the program focuses on industry trends, challenges, and technology applications and advances.

The supplemental environmental impact statement offers multiple ways forward for the stalled project.

Researchers from Skoltech have trained a neural network to recognize rock samples in core box images efficiently. The process has sped up analysis by up to 20 times and made it possible to automate the description of rock samples.