HSE & Sustainability
The meeting of leaders, experts, and stakeholders emphasized the urgency of addressing greenhouse-gas emissions to mitigate climate change and align with global sustainability goals.
Commercial diver Chris Lemons will speak at this year’s conference for an exclusive keynote recounting one of the most extraordinary survival stories in the history of offshore operations.
The test marks a milestone in the Poseidon CCS project, which aims to store carbon dioxide in the depleted gas reservoir below the Leman development in the southern North Sea.
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Ruwais is slated to be the first net-zero LNG facility in the Middle East and North Africa. -
The modular facility will process associated gas to produce electricity for up to 200,000 households in the Basra region.
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As Southeast Asia’s third-largest gas producer, PTTEP is investing in its energy security by prioritizing gas production and building up a global LNG supply chain.
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The decision invokes a 1953 law that will make it difficult for incoming US President Donald Trump to reverse.
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The oil and gas industry must balance global energy demands with stricter environmental regulations, particularly in drilling, where risks and complexities are higher. Innovative technologies, like those used in this stuck-pipe scenario offshore Azerbaijan, are key to overcoming these challenges and improving safety, speed, and efficiency.
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In this paper, a dynamic multiphase-flow simulator is used to evaluate the effectiveness and suitability of using a subsea capping stack to respond to a CO₂ well blowout.
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Virtual reality and related visualization technologies are helping reshape how the industry views 3D data, makes decisions, and trains personnel.
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The objective of this paper is to outline the importance of new standards for studying hydraulic sealability of barrier materials, with an emphasis on interface analysis.
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The objective of this study is to develop an explainable data-driven method using five different methods to create a model using a multidimensional data set with more than 700 rows of data for predicting minimum miscibility pressure.
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The authors of this paper propose hybrid models, combining machine learning and a physics-based approach, for rapid production forecasting and reservoir-connectivity characterization using routine injection or production and pressure data.
