Data & Analytics
Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
This paper presents an automated workflow deployed for scheduling and validating steady-state production-well tests across more than 2,300 wells in the Permian Basin.
This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.
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SponsoredDive into TAQA’s digitalization and deep learning initiatives that are shaping the company's new approach to its Journey Management System. This innovative concept minimizes transportation-related risks in a period of rapid operations expansion. -
The company says the field has achieved a 25% production capacity increase through the user of advanced digital technology.
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The new frontier of production improvement combines surveillance techniques and analysis to determine which variables boost output.
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This study compares seven imputation techniques for predicting missing core-measured horizontal and vertical permeability and porosity data in two wells drilled in the North Rumaila oil field in southern Iraq.
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This paper describes an approach that combines rock typing and machine-learning neural-network techniques to predict the permeability of heterogeneous carbonate formations accurately.
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This study describes the performance of machine-learning models generated by the self-organizing-map technique to predict electrical rock properties in the Saman field in northern Colombia.
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This paper presents an integrated view of three key areas of knowledge that typically are addressed individually—cybersecurity, process safety, and human factors—from the perspective of cybersecurity.
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Implemented for the first time offshore, the technology uses artificial intelligence to operate wells autonomously.
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The planned long-term partnership aims to digitally transform Aker BP’s subsurface workflows in an effort to lower costs, shorten planning cycles, and increase production.
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BMT and Ocius plan to deploy 1,000 autonomous vessels to collect data as “satellites of the sea.”
