Production
This paper proposes a novel, real-time pump failure prediction method using machine learning with scaled load ratio to accurately predict pump failures using only surface pump load data.
Five agreements target more than 11 Tcf of offshore gas and include flare-reduction technology.
Disputes over tanker fees and the ongoing military operation in Lebanon represent potential fault lines for the tentative peace deal.
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The authors challenge the traditional planning and execution of interventions, both from an operational and commercial standpoint, and examine where room exists for significant improvement in the industry -
Blocked by sanctions from obtaining Western technology, Tehran has turned to its domestic service industry to expand production as Chinese demand reaches new highs.
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The tie between US crude output and key indicators such as rig counts and the number of new wells has significantly weakened.
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This paper provides insights into the technical and economic viability of repurposing oil and gas wells for geothermal energy production for direct heating.
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This paper discusses a new type of mechanical gas separator for electrical submersible pump systems that increases operating flow range and separation efficiency while decreasing erosion problems and improving reliability.
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This paper describes how near-real-time tracer data from the onsite tracer analysis enabled the operator of the Nova field to interactively optimize two well cleanups.
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Slickline-Deployed Fiber-Optic Cable Provides First Production Profile for High-Temperature Gas WellThis paper describes a case study in which, in the absence of a conventional production log, distributed fiber-optic sensing, in conjunction with shut-in temperature measurements, provided a viable method to derive inflow zonal distribution.
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This paper discusses and evaluates retrofitting abandoned petroleum wells for geothermal applications as a commonly proposed solution to meet the challenge of the capital expenditure required for drilling and completion.
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This paper presents an approach using artificial neural networks to predict the discharge pressure of electrical submersible pumps.
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This paper aims to analyze the relevance of wind and solar energy for the supply of artificial lift systems on offshore platforms in the Brazilian equatorial region.
