Reservoir characterization
This paper presents a novel methodology for assessing the rapid mineral carbonation of carbon dioxide through geochemical interactions with carbon-, magnesium-, and iron-rich minerals abundant in geological formations.
This paper introduces a machine-learning approach that integrates well-logging data to enhance depth selection, thereby increasing the likelihood of obtaining accurate and valuable formation-pressure results.
This study aims to use machine-learning techniques to predict well logs by analyzing mud-log and logging-while-drilling data.
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The Pugang gas field, one of the biggest inland gas discoveries of the last decade in China, has hydrogen sulfide (H2S) concentrations as high as 10%, making surface- and downhole-facilities design and execution challenging. -
Seismic innovators are working on new sound sources designed to produce better subsurface images while addressing concerns raised by scientists and regulators about the environmental impact of the related noise on sea life.
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Autonomous Robotics’ first offering is built around a rounded yellow device that looks like a little flying saucer.
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Rising demand for flowback technologies to reduce uncertainties is leading to the creation of more hydrocarbon and water tracers. These chemical-based tracers may play an important role in the shale industry’s effort to come up with more cost-effective fracture designs.
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An area of great interest to those researching flowback is the interaction of water and salt inside the shale reservoir. After a well is stimulated, the flowback fluids tend to show a rising concentration of salt that falls back to near zero over time.
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A surge in earthquakes tightly clustered in southern Kansas that followed the large increase in produced water injections prompted the state to cut the daily limits on disposal wells in that area to see if that will help solve the problem.
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Reservoirs consisting of heterogeneous carbonates and shaly sands pose formation evaluation challenges for conventional logging-while-drilling (LWD) measurements. Magnetic resonance techniques hold promise for improving understanding of these reservoirs.
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More than 50 years after inventing the air gun, Stephen Chelminski is working on a new version of the industry standard designed to be more in tune with the current needs of the industry and its regulators.
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Pulled directly from the reservoir rock, core samples provide critical data used to determine how exploration should proceed. Until recently, core analysis remained old school, however, there is an ongoing transition to bring the process of core description into the digital age.
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New seismic data gathering techniques promise better images for less by gathering more data quicker, seeing past obstructions, and seeking out scarce frequencies.
