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Machine-learning methods have gained tremendous attention in the last decade. The underlying idea behind machine learning is that computers can identify patterns and learn from data with minimal human intervention. This is not very different from the notion of automatic history matching.

A challenging problem of automated history-matching work flows is ensuring that, after applying updates to previous models, the resulting history-matched models remain consistent geologically.

Woodside has invested in Sapien Cyber, a Western Australian company specializing in the protection and security of critical infrastructure.

This paper presents a work flow to match the history of reservoirs featuring complex fracture networks with a novel forward model.

The combination will operate and share ownership of midstream gas assets in the Utica and Marcellus Shale plays. CPPIB financially backs operator Encino Energy, which last year acquired Chesapeake Energy’s Utica assets.

The US Occupational Safety and Health Administration, the National Institute for Occupational Safety and Health, the State of North Dakota, and the Bakken Basin Safety Consortium have signed an alliance to protect employees and promote safety and health in the oil and gas industry.

Although the Environmental Defense Fund and ExxonMobil are not always aligned on certain important issues, the organizations are working together to understand and reduce methane emissions.

Seadrill has announced implementation throughout its fleet of a health program designed for employees before they leave for work on one of the company’s rigs.

A wave of satellites set to orbit the Earth will be able to pinpoint producers of greenhouse gases, right down to an individual leak at an oil rig.

Safety depends on developing a dedicated culture mind-set and mitigation of risks, from the planning and engineering phases to the work site. These papers selected by OGF technical paper editor Gerald Verbeek present various practices for reducing and eliminating the number of incidents.