Monthly Features
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EQT is benchmarking its way to basin-leading productivity and relying on partnerships and new technology to turn KPIs into operational reality.
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Drilling experts recently shared candid views on what will be required for their segment of the upstream business to move to the next stage of development.
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This case study from Italian technology developer Sentris highlights the effectiveness of using sensors during pigging operations to optimize cleaning efficiency.
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Experts and industry leaders gathered in The Woodlands, Texas, recently to sift through the challenges of carbon capture, utilization, and storage. The puzzle is coming together, but some critical pieces are still needed before the results look like the picture on the box.
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Two examples from ONGC show how supervised AI-driven automation scaled well modeling across hundreds of offshore wells, saving more than 1,000 engineering hours.
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Examples demonstrate how an Integrated Operations Center as a Service (IOCaaS) model, powered by artificial intelligence, reduced costs by 5% and increased production by 6% in Canada.
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Ease of use and crowd-pleasing economics are driving US shale producers toward wet-sand completions. Chesapeake Energy is among the latest converts and explains why it wants to use wet sand on every new well.
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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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Will the oil fields of today become the hydrogen fields of tomorrow? Calgary-based Proton Technologies says this is possible and hopes to prove it soon after inking multiple licensing deals with other oil and gas companies.
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Technology is advancing, and applications are growing, but scaling faces technological and human challenges.
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Algorithms are taking over the world, or so we are led to believe, given their growing pervasiveness in multiple fields of human endeavor such as consumer marketing, finance, design and manufacturing, health care, politics, and sports. The focus of this article is to examine where things stand in regard to the application of these techniques for managing subsurface en…
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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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The oil and gas industry, which had begun showing signs of recovery from a generational downturn, was brought to its knees by the COVID-19 pandemic in 2020. SPE’s technical directors reflect on the pandemic’s impacts and share their outlooks going forward in this annual roundup.
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Interface Fluidics carved out a niche for itself in the oilfield testing sector a few years ago with a new alternative to coreflooding. Now, along with Equinor, the Calgary-based company is taking on another industry laboratory stalwart: the slimtube test.
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Innovators at the Norwegian oil company have developed a machine-learning model that analyzes mud-gas data to predict the gas/oil ratio of wells as they are drilled—something that the industry has worked for decades to accomplish.
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Shell and Tomson Technologies completed field trials in the Gulf of Mexico using new nanoparticle-enabled phosphonate and polymer inhibitors that improve the treatment lifetime of scale squeezes.
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