Monthly Features
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This article is the second in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, Madhava Syamlal, CEO and founder of QubitSolve, discusses the present and future of quantum computing. -
Field examples from the Bakken Shale and Permian Basin illustrate the benefits of deploying polymer-coated and uncoated scale inhibitors in unconventional wells. -
New strategies for protecting metal infrastructure emerge as operators fine-tune a corrosion threat screening process and develop a new method for tracking inhibitor effectiveness. -
The Norwegian technology developer is working to strengthen the value case for wired pipe through an upcoming offshore campaign with Vår Energi. -
SLB is introducing a new electric well-control system to replace larger conventional, fluid‑controlled hydraulic equipment. -
Natural gas-powered electric fleets look to pave the way for the next generation of power generation.
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The technology is being proven in millions of phones and homes across the world. Now, a small group of software startups wants to introduce chat bot technology to oil and gas professionals. -
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?
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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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