Reservoir
The events will be co-located 3–5 May 2027 at Reliant Park in Houston, Texas.
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
This paper presents a study that confirms glass-reinforced-epoxy-lined tubing as a reliable, cost-effective solution for long-term water-injection service in moderate-salinity offshore environments.
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With only around 30 installations worldwide, ADNOC’s onshore team has seen enough results from its first “fishbone” stimulation to embark on a 10-well program that will decide a full development scheme. -
In the complete paper, the authors present a novel approach that uses data-mining techniques on operations data of a complex mature oil field in the Gulf of Suez that is currently being waterflooded.
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The complete paper aims to identify the role of different geological settings with different types of fluid saturations in the response of EM-wave propagation and absorption.
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In the complete paper, the authors generate a model by using an artificial-neural-network (ANN) technique to predict both capillary pressure and relative permeability from resistivity.
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Eni and IBM developed a cognitive engine exploiting a deep-learning approach to scan documents, searching for basin geology concepts and extracting information about petroleum system elements.
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The complete paper describes the first successful implementation of natural dumpflooding offshore Malaysia as a case study to provide insight into the value of using the approach to maximize oil recovery in a mature field, particularly in a low-margin business climate.
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The enhanced-oil-recovery literature produced in the past several months was dominated by reservoir modeling and characterization; flood enhancements; machine learning; and, more notably, relative permeability estimation. This last one needs to be understood further.
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Malaysia’s national oil and company will employ the technology suite in secondary recovery and well stimulation. The deal follows the service provider’s recent agreements in the Middle East.
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SponsoredThermo Scientific e-Core Software is a unique, high-performance computing platform for the characterization of complex porous media. It focuses on the three essential components of Digital Rock Analysis: parallel computing, multiscale modeling, and process-based reconstruction of 3D volumes.
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The complete paper outlines some of the challenges involved in late-life field management and how Reserves assessment may be affected.
