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The UN's sustainable development goals were designed to engage the private sector in addressing the world’s most pressing challenges. Four years into the timeline, the question is whether companies are advancing serious solutions or are simply embarking on a massive public relations charade.

Researchers at the University of Massachusetts, Amherst, performed a life-cycle assessment for training several common large AI models. They found that the process can emit more than 626,000 lbm of carbon dioxide equivalent—nearly five times the lifetime emissions of the average American car.

In this paper, the authors show the limitation of CEOS for modeling reservoir behavior of liquid-phase black and volatile oil in highly undersaturated reservoirs.

Exponential thinking is called the “exponential surprise factor.” These underpinnings are observed on the tubular mechanics side also through data analytics, machine learning, artificial intelligence, and cognitive processes.

The Japanese operator will submit a development plan to the Indonesian government within the next few weeks, with FID for the $20-billion project coming around 2022. Abadi LNG is projected to deliver 9.5 mtpa of LNG.

As the hydraulic fracturing market faces pressure to lower costs, Keane Group and C&J Energy Services announce they will combine their businesses.

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For this year’s feature, the selected papers provide innovative work flows that assist in determining productivity, reduce the effect of uncertainty conditions, and spark rejuvenation.

This paper is part of an ongoing effort to minimize the likelihood of failure using data-mining and machine-learning algorithms.

This paper presents a set of equations that extends the approach of the original single-shouldered equation to account for a second shoulder, and helps to understand connection strengths better.