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ExxonMobil and Petronas discovered hydrocarbon-bearing zones in an exploration well on Block 52 offshore Suriname, adding to ExxonMobil’s finds in the Guyana-Suriname basin.

The proposed solution is a good candidate for real-time burner-efficiency monitoring and automatic alarm triggering and optimization.

The authors develop an innovative machine-learning method to determine salt structures directly from gravity data.

The oil and gas industry, which had begun showing signs of recovery from a generational downturn, was brought to its knees by the COVID-19 pandemic in 2020. SPE’s technical directors reflect on the pandemic’s impacts and share their outlooks going forward in this annual roundup.

The authors describe challenges that must be overcome to reach the goal of drilling systems automation.

The work and the provided methodology provide a significant improvement in facies classification.

Interface Fluidics carved out a niche for itself in the oilfield testing sector a few years ago with a new alternative to coreflooding. Now, along with Equinor, the Calgary-based company is taking on another industry laboratory stalwart: the slimtube test.

Petrobras will sell the Rabo Branco field, part of the BT-SEAL-13 concession, to Energizzi Energias.

Oil-to-telecom conglomerate Reliance Industries Limited (RIL) and BP have started production from India’s first ultradeepwater gas project, the first of three such projects in the KG D6 block.

Innovators at the Norwegian oil company have developed a machine-learning model that analyzes mud-gas data to predict the gas/oil ratio of wells as they are drilled—something that the industry has worked for decades to accomplish.

Shell and Tomson Technologies completed field trials in the Gulf of Mexico using new nanoparticle-enabled phosphonate and polymer inhibitors that improve the treatment lifetime of scale squeezes.

This paper details the introduction of a drilling automation system to deliver superior well-construction performance in a major gas field.