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September/October

HSE&T Corner: Chevron develops software tool for conducting, evaluating well control-related drills, seeks to share it with wider industry

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Well control, like safety, is too important to be leveraged as a competitive advantage. That’s why Chevron is planning to share with the wider industry a tool – called DrillPad – that the operator launched in 2015 to assist with the planning and tracking of well control drills. The software was developed as part of Chevron’s WellSafe assurance program...

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Drilling & Completion News

Seadrill’s West Saturn is a sixth-generation ultra-deepwater drillship. It is expected to begin operations for Statoil Brasil Óleo e Gas between December 2017 and January 2018.

Talos Energy, along with its joint venture partners Premier Oil and Sierra Oil & Gas, has completed drilling operations on the Zama-1 exploration well in Block 7 offshore Mexico. The well reached a total depth of 13,840 ft. It is the first offshore exploration well drilled by the private sector in Mexico’s history...

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Structured method to collecting equipment data drives consistency in failure reporting, robust analyses

Figure 1: By defining boundaries, a distinct description and agreement of which sub-systems are included in the scope of a particular system is established. NOV’s boundary-definition methodology dictates that an equipment family generally shares the same boundary definition. For example, all NOV top drives use the same boundary definition.

Equipment data is instrumental to understanding equipment reliability and performance, which necessitates developing robust solutions through root cause analyses (RCA) and effective corrective actions. The direct results are operation optimization and equipment reliability improvement. Drilling equipment reliability is the ability of the drilling equipment to perform its function within specified design parameters. By definition, equipment reliability directly affects operational efficiency and effectiveness, which affects the overall cost of ownership of a piece of equipment and the cost of drilling operations...

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Digital transformation

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The drilling industry has always been known for having big iron – from drawworks to iron roughnecks, from top drives to blowout preventers. But in today’s digital oilfield, it’s no longer hardware that’s driving the biggest changes at the rig site. Rather, game-changing technologies on the horizon are now almost entirely digital. Predictive analytics, the Internet of things (IoT), machine learning and artificial intelligence are not just buzzwords. They refer to real technologies that are increasingly being adopted into the drilling industry to improve efficiency and reduce costs....

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2016 ISP: Global LTI, recordable incident rates both down, but number of fatalities ticks up slightly

March accounted for the most Lost Time and Recordable incidents. The 26-35 age range accounted for the most Lost Time and Recordable incidents.

Numbers from the latest IADC Incident Statistics Program (ISP) are encouraging. The ISP, which has tracked safety and accident information for the drilling industry since 1962, shows that the worldwide lost-time incidents (LTI) rate improved by 27.7% from 2015 to 2016, going from 0.18 to 0.13. The recordable incident rate also saw improvement, falling by 23.3% from 0.60 in 2015 to 0.46 in 2016...

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Digital twins help to predict failures, create blueprint for ideal asset performance

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The concept of digital twins – a dynamic digital representation of an industrial asset – is increasingly being adopted in the drilling industry. At BHGE, digital twins are being used not only to understand the current state and condition of an asset but also to predict future maintenance issues and determine how issues can be avoided. “Digital twins combine our understanding of the physics of the equipment, as well as where the equipment is deployed – for example, reservoir location, morphology, etc – along with modern machine learning and artificial intelligence (AI) technologies,” said Dr Arun Subramaniyan, VP Data Science & Analytics at BHGE...

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