Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
This study demonstrates the transformative potential of physics-informed neural networks as a hybrid framework for multiphase flow measurement.
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This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence. -
The authors of this paper present the results of implementing a rig-automation solution applied to 20 wells in Ecuador in 2022.
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This paper describes a method with multitiered analysis to leverage machine-learning techniques to process passive seismic monitoring data, pumping and injection pressure, and rate for fracture and fault analysis.
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Development and study of a new downhole bubblepoint pressure measurement technique, suitable for black oils and volatile oils, to augment downhole fluid analysis using optical spectroscopy.
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As part of a 10-day inspection campaign, the companies inspected subsea trees and other infrastructure at the Alvheim field on the Norwegian continental shelf.
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Edge computing is propelling computer vision into a new era, catalyzing the development of smart devices, intelligent systems, and immersive experiences.
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The Unmanned Technical Section has updated its name to the Robotics and Autonomous Systems Technical Section.
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Oil and gas is one of the most hazardous industries to work in. It is also an industry undergoing a revolutionary digital transformation. With changes come challenges and new opportunities. This paper looks at the top digital safety trends that are taking place within the industry.
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By incorporating AI-powered solutions, companies can tailor wellness plans to cater to the diverse needs of their workforce, fostering a more inclusive and supportive environment.
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Investigation into cybermonitoring of industrial control and operating systems used to detect cyberattacks and discern different types of attacks, with the intent to develop risk-based cybersecurity solutions.
