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Described as Brazil’s first-ever integrated SPS and SURF project, the development will include 19 wells, approximately 130 km of rigid risers and flowlines, and 35 km of umbilicals.

IOGP today launched JIP33 flare package specification guidelines for public review and comment.

The company's industrial services business provides integrity and fabric maintenance for assets in the offshore oil and gas, process energy, marine, and infrastructure sectors across the UK and Ireland.

The data-driven maintenance program incorporates riser condition, usage, and fatigue analysis with a risk-based inspection process.

The most recent hydrocarbon production boom is under way in the Middle East, and this time, the race is spilling into offshore waters.

The 2020 SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability will be held in conjunction with the SPE Latin American and Caribbean Petroleum Engineering Conference. Early registration is open until 19 February.

The new standardized ERA Acute method provides quantitative assessment of environmental impact and risk of acute oil spills covering four environmental compartments: sea surface, shoreline, water column, and seafloor.

Between 2000 and 2017, the suicide rate in the US increased by 40%, with blue-collar workers in industries such as mining, oil and gas extraction, construction, agriculture, transportation, and warehousing most at risk, according to a new study from the Centers for Disease Control and Prevention.

Oil and gas wells produce nearly a trillion gallons of toxic waste a year. An investigation shows how it could be making workers sick and contaminating communities across America.

The US Chemical Safety Board will investigate the blowout that killed three workers at a Chesapeake Energy well in central Texas.

The group’s mission is to end human trafficking by preventing exploitation, educating the community, and empowering survivors.

Recently, the hype around artificial intelligence and machine learning caused several people to ask me how much of a project is actual machine learning. Based on man-hours spent on the project, I estimate that only about 5% of the effort is spent directly on data-science-related activities.