Production
This paper aims to establish a set of best practices for generating particle-size-distribution data from core samples.
Unlike traditional AI approaches that rely primarily on historical data, physics-based AI integrates physical laws, engineering expertise, and operational constraints directly into the learning process. Three recent SPE papers illustrate how this paradigm is transforming the industry through intelligent condition monitoring, virtual sensing, and autonomous production …
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
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There is a thin line between success and failure of clay stabilizers as they can either drive performance or cause unwanted formation damage. -
A new program offers an affordable way to figure out if salt precipitation could be behind underperforming gas wells and suggests a path to higher production.
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The supermajor redefined its Mad Dog II development in three key ways: a blank-sheet redesign to cut costs, altering the way it works as a result of the COVID-19 pandemic, and a digital twin offering unique access to the asset from anywhere in the world.
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A slate of new pipeline projects are expected to help relieve the oil-rich region's associated gas bottleneck.
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Enverus claims hundreds of millions of barrels of gas condensates are nowhere to be found in public data due to a major reporting gap.
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The first acid job dates to 1895. Challenges remain, however, when it comes to lithology, coverage, penetration, and management of reaction products. These themes remain a focus for stimulation engineers.
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In Part 2 of a series of articles, the author focuses on generating a connection between the problem types and various methods of trying to solve these problems.
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This article presents a deep-learning approach, the long short-term memory network, for adaptive hydrocarbon production forecasting that takes historical operational and production information as input sequences to predict oil production as a function of operational plans.
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The FPSO Anna Nery is the first of two floaters set to revitalize production at the Marlim field in the northeastern part of the Campos Basin offshore Brazil.
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Paraffin deposition on the meters measuring produced water volumes causes inaccurate readings. New technology solutions enable lasting accuracy in the place of routine maintenance that provides a temporary solution.
