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This study introduces a data-driven virtual viscosity meter as a tool to augment inline and laboratory viscosity measurements.
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This study illustrates how a combination of a straddle-packer system and a downhole real-time telemetry successfully stimulated up to 38 stages while maintaining packer-seal integrity and downhole pressure.
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This paper presents an integrated system for fracturing optimization using real-time and historical data along with organizational knowledge and the challenges and key considerations of implementing such a system.
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This paper presents the interpretation of two polymer-injectivity tests performed in two giant light-oil high-salinity/high-temperature carbonate reservoirs onshore Abu Dhabi.
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The innovations in the carbon removal space are gaining attention for their potential to curb global climate change, but they each face particular challenges in implementation.
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This paper presents a novel mathematical model for design and evaluation of fluoroboric acid treatments that takes into account the chemical kinetics and equilibrium aspects of important reactions and fluid flow inside the reservoir rock.
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Whether inconsistent, incomplete, ambiguous, or just plain wrong, bad data is a big barrier to digital transformation.
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Speakers from various disciplines and professions focus on industry trends, challenges, technology applications and advances. Scheduled DL events are in-person meetings only.
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University of Houston researchers develop oil recovery tools with ‘significantly higher accuracy’ than current methods.
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The Landmark DecisionSpace Geosciences software aims to incorporate geoscientists into the company’s digital work flow.
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Artificial intelligence (AI) tools have been used in geological survey methods for many years. Gaining insight into the scale and trends of this implementation could assist surveyors in making informed decisions about buying or developing new technologies.
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The deal with XTO Energy adds about 62,000 net acres to Chord’s inventory.
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