Monthly Features
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This article is the fourth in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, David Reid, the CTO and CMO for NOV, discusses the evolution and current state of automated drilling systems. -
Oil and gas experts encourage human/AI partnerships that can “supercharge” capabilities to create competitive advantages. -
Casing deformation has emerged as a major challenge in China’s unconventional oil and gas fields, prompting the development of new solutions to address the issue. -
The US supermajor is using one of its lowest-value hydrocarbon products to generate double-digit production increases in its most prolific US asset. -
The use of real-time wireless downhole pressure gauges proved a valuable alternative to workover operations in two onshore fields in Iraq. -
Bad vibes are being addressed by contractors as operators push to go faster, deeper, and longer with unconventional wells.
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The constant talk about the data-driven future of the oil and gas business poses a threatening question for some petroleum engineers: What do I need to know to ensure I have a job next year? -
An oil and gas startup has attracted the business with a major operator thanks to its ability to forecast whether production-enhancing chemicals will work as advertised.
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A contest where teams of college students design and build an automated drilling rig able to deal with hazardous obstacles in a test block, showed how a small change can be engineered to matter.
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In their outlook for 2019, SPE’s technical directors suggest petroleum engineers take a moment to reflect on the industry’s great feats, and then get back to work to do things better.
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Producers in Texas have claimed an economic victory with their transition to local sands that they once avoided using in horizontal wells due to their low-quality.
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Companies are bringing satellite monitoring to the unconventional oilfield—namely the Permian Basin—where they are training machine learning models to track and predict drilling and completions work.
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If the shale sector’s most complex problem can be solved, it will require companies to use their wells as a team. Newly detailed field work shows that a good defense is the key to success.
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The ideal well spacing is in the eye of the beholder. The decision depends on so many factors that machine learning is now trying to determine the best combination of ingredients.
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As demand for petroleum engineers begins to rise, supply is dropping fast. It may be a good market for job seekers but things could get tougher for those doing the hiring.
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Meet the group advancing digital technology adoption within one of the largest oil and gas producers in the US. Its aim is to cross-pollinate reservoir engineers with data scientists to create a 21st century workforce.
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