HSE & Sustainability
Research by Enervus sees early 2026 permitting activity for the carbon capture and storage wells pointing to a growing approval queue, even while the rate of applications eases.
The new guidelines were released prior to reports that enhanced geothermal developer Fervo Energy experienced a blowout in Utah with no reported injuries.
This paper presents a case study of oriented tubing-conveyed perforation followed by an acidizing operation to overcome technical challenges posed by a depleted reservoir targeted for a carbon capture, utilization, and storage project.
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This paper reviews existing literature, the operator’s records, service-company data, and simulation studies to assess the risk of using seawater in carbonate acidizing. -
New technical papers suggest advanced robotic systems may not be far away from broad adoption for a large share of offshore inspection and intervention.
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This guest editorial from the Center for Injection and Seismicity Research (CISR) at The University of Texas at Austin details the emerging risks posed by injection in Texas and what steps might be taken to mitigate them.
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This paper explores the transformative effect of unmanned aerial systems on operational efficiency, safety, and emergency response within the Khurais oil fields in Saudi Arabia. By integrating sophisticated drone technology, improvements have been achieved in routine inspections, leak detection, and emergency scenarios.
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The SPE Human Factors Technical Section has been officially renamed the SPE Safety Technical Section. The new name better reflects how safety is managed today across interconnected areas like human performance, risk management, and system resilience.
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A laboratory research study evaluates several different chemical injection concepts for the removal of elemental mercury from multiphase flow.
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Analysis from Wood Mackenzie warns that a prolonged closure of the critical waterway would have lasting effects on the global economy and Middle East supply capacity.
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Caturus Energy’s platform integrates upstream assets from the Haynesville and East Texas basins with downstream liquefaction and export terminal facilities on Louisiana’s Gulf Coast.
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This study explores the use of autoencoder models with convolutional neural networks to present a framework and prototype for early and accurate kick detection during offshore oilwell drilling.
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Opening day remarks from President Mohamed Irfaan Ali framed fossil fuels and renewables as parallel systems amid rising demand and structural supply pressures.
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