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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A recently released report predicted that IoT networks will not take up as much of the overall market share as previously anticipated. -
IoT has become a popular phrase in various industries. For upstream oil and gas operators, an IoT infrastructure may present an opportunity improve quality control on their projects, potentially reducing costs and increasing production.
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AUVs have evolved from an emerging technology with niche uses to a viable solution and an established part of operations in various marine sectors. Douglas-Westwood’s AUV Market Forecast considers the prospective demand for AUVs in the commercial, military and research sectors over the next 5 years.
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Big ideas for digital intelligence in Oil and Gas are being discussed at ATCE.
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Optimization of maintenance costs is among operators’ main concerns in the search for operational efficiency, safety, and asset availability. The ability to predict critical failures emerges as a key factor, especially when reducing logistics costs is mandatory.
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The difficulty in applying traditional reservoir-simulation and -modeling techniques for unconventional-reservoir forecasting is often related to the systematic time variations in production-decline rates. This paper proposes a nonparametric statistical approach to resolve this difficulty.
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Managing an unconventional asset requires the proper analysis of large amounts of data. How can unconventional asset operators utilize data processing technologies commonly used in other industries?
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The oil and gas industry is facing an invasion of data analytics startups who saw a wide-open gap in the market a few years ago when talk of big data first began.
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A newcomer in the arena of oilfield market research has set an ambitiously high bar for itself: to speed up the oil and gas industry’s widely acknowledged and painfully slow rate of technology adoption.
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The use of intelligent software is on the rise in the industry and it is changing how engineers approach problems. A series of articles explores the potential benefits and limitations of this emerging area of data science.
