Data & Analytics
SPE and The Open Group have signed a memorandum of understanding to advance collaboration and innovation in the global energy industry.
        
        
    
    In this third work in a series, the authors conduct transfer-learning validation with a robust real-field data set for hydraulic fracturing design.
        
        
        
        
    This research aims to develop a fluid-advisory system that provides recommendations for optimal amounts of chemical additives needed to maintain desired fluid properties in various drilling-fluid systems.
        
        
        
        
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                    SLB said it plans to integrate INT’s technology into its digital data and artificial intelligence platforms.
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                    Chevron’s announcement comes on the heels of ExxonMobil’s announcement in December of a similar project to deliver natural gas-fueled electricity to US data centers.
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                    These papers provided insights and advances into field-operations automation, machine-learning-assisted petrophysical characterization, and fluid-distribution analysis in unconventional assets.
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                    This paper presents a complete digital workflow applied to several greenfields in the Asia Pacific region that leads to successful deep-transient-testing operations initiated from intelligent planning that positively affected field-development decisions.
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                    This study introduces a cleanup- and flowback-testing approach incorporating advanced solids-separation technology, a portable solution, equipment automation, improved metallurgy, and enhanced safety standards.
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                    The authors make the case that data science captures value in well construction when data-analysis methods, such as machine learning, are underpinned by first principles derived from physics and engineering and supported by deep domain expertise.
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                    In this paper, the authors propose a regression machine-learning model to predict stick/slip severity index using sequences of surface measurements.
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                    From optimizing drilling performance to enhancing worker safety, computer vision can change how the industry works.
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                    Located 230 km south of Abu Dhabi, the onshore Shah field produces around 70,000 B/D of crude.
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                    A new report from GlobalData provides an overview of the digitalization efforts within the industry and their potential to transform operations.