A look behind-the-scenes reveals what it takes to protect innovative ideas in the fast-moving US shale sector—key lessons learned, pitfalls to avoid, and how to do it the right way, as told by two of the operator's intellectual property (IP) protection leaders.
NASA is undertaking a drilling project on the Moon—the first on any planetary body outside the Earth. The mission’s purpose, collecting subsurface soil and ice samples to search for water beneath the lunar surface, is being compared to collecting core samples on Earth and will use technologies, such as a rotary-percussive drill, that have been adapted from those for h…
Anomalies in heart function can be diagnosed in real time by measuring an electrical signal. Petroleum engineers have adapted the concept to diagnose anomalous drilling conditions in real time using a shock signature recorded downhole.
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Oslo-based consultancy Rystad Energy sees the potential for robots and automation to replace up to 400,000 roles in North America, Europe, and Russia by 2030. The timeline is not guaranteed, though, and will move at a speed set by human decision making. -
Scientists at the Sandia National Laboratories are using machine learning to find methane hydrates on the seafloor, using an approach similar to weather forecasting.
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Economical oil extraction depends largely on reducing wear and tear of downhole equipment and tubulars through regular monitoring and batch treatment to cut the risk of corrosion and costly workovers. Having a data-driven approach to scheduling batch treatment can bring down the frequency of treatment and avoid the unnecessary use of resources.
Medhat (Med) Kamal is the nominee for 2023 SPE President. He and six others make up the new slate of nominees recommended for positions open on the SPE Board of Directors.
The honorees will be recognized later this year at the OTC Distinguished Achievement Awards Luncheon.
The market may be different from what we have previously experienced, but the path to a successful digital transformation is durable and the core principles of success have not changed.
For oil and gas companies to remain in existence in the second half of the 21st century, they must find ways to dramatically reduce, if not eliminate, their output of carbon dioxide and other greenhouse gases. Artificial intelligence technology could provide one tool to help the energy industry accomplish that staggeringly difficult goal.
The infrastructure engineering software firm is expected to pay more than $1 billion to acquire geological and geophysical modeling software developer Seequent.
According to a World Economic Forum report, digital transformation in the oil and gas industry could unlock approximately $1.6 trillion of value for the industry, its customers, and wider society while creating around $1 trillion of value for oil and gas firms.
The deal fills a gap in the software developer's production line that is focused on drilling, production, and land management applications.
The country expects the digitalization project to promote Egypt’s exploration and production potential worldwide.
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GeoMark’s RFDbase contains raw data from every major petroleum basin in the world that can be used in training models to link subsurface characteristics to wellhead performance. -
Petrolern has received a $1.15-million grant from the US Department of Energy to develop and commercialize its technology that models in-situ stresses by using available data. -
Technology is advancing, and applications are growing, but scaling faces technological and human challenges. -
The Environmental Defense Fund's report called "Hitting the Mark" is a roadmap for the oil and gas industry to obtain and report good data on methane emissions. But it also laments that methane emissions data are outdated, inaccurate, and unreliable.
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This paper outlines an approach to history matching that uses artificial intelligence with an artificial neural network and data-driven analytics. The approach has been used to mitigate history-matching challenges in a mature, highly geologically complex field offshore Malaysia. -
The company’s newest product will combine with Amazon Web Service’s efforts to ease access to data from the Open Subsurface Data Universe. -
Laboratory formation damage testing is often used to help select optimal drilling and completion fluids, but predicting the overall effect of formation damage on well performance requires further interpretation. Paper SPE 199268 presents a case for use of CFD to upscale laboratory data to quantify that effect. -
A plunger lift optimization software has been developed that enables set-point optimization at scale.
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Artificial intelligence is opening new ways to analyze data from microseismic events that occur during hydraulic fracturing. One researcher at Moscow’s Skolkovo Institute of Science and Technology is building a convolutional neural network to get a subsurface view of permeability after fracturing.
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Aberdeen Renewable Energy Group and the European Space Agency have signed a memorandum of intent to analyze, develop, and implement space-enabled technology and services to support the renewable energy sector.
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Neuromorphic computing could completely transform everything about the technology industry from programming languages to hardware.
