Abstract Offshore mature fields operated by GUPCO/Dragon Oil in Egypt rely predominantly on gas lift as the primary artificial lift method. In such environments, achieving accurate and frequent liquid-rate measurements remains challenging due to limited well-testing availability, separator measurement uncertainties, an...
M. Elnagar, Mustafa Mohamed, A. Othman et al.· GOTECH· 0 citations
Abstract The method presented in this paper shows practical experiments in initial evaluation of formation zones productivity of newly completed wells in challenging heavy oil and low permeability environments. Results were obtained by implementation of stage-based downhole surveyance during the long well stimulation p...
A. Khlustikov, E. Skutina, I. Babushkin et al.· 0 citations
Abstract Acid fracturing is a key stimulation technique in tight carbonate reservoirs, relying on the differential etching of fracture faces by acids such as hydrochloric acid (HCl) to generate conductive flow paths. A critical challenge in this process is managing fluid leak-off, especially in formations with high tem...
Mohammed Qamruzzaman, Umesh Kumar, Sharad Matey et al.· GOTECH· 0 citations
Well profitability is a key performance indicator of oil-producing enterprises, reflecting the influence of production, technological, and economic factors on financial results. The use of econometric methods in analyzing individual wells is complicated by limited data and high correlations among explanatory variables,...
Р. Ф. Садыкова, C. Zakirova, Alina Valiakhmetova et al.· Theoretical Economics· 0 citations
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Toxoplasma gondii infection during pregnancy is associated with significant increases in serum Anti-Müllerian Hormone (AMH), Interleukin-2 (IL-2), and Interleukin-12 (IL-12).
Kamera is presented, a system for testing CCPs that uses partial simulation to execute the code of multiple interacting controllers against a lightweight model of the Kubernetes runtime and achieves a 1,781× speedup over existing cluster-based controller testing approaches.
Tim Goodwin, Lindsey Kuper, Andi Quinn· Proceedings of the ACM SIGOP...· 0 citations
This paper presents the first large-scale empirical study of data privacy in the connected vehicle ecosystem, using a combination of Wi-Fi interception and controlled cellular capture under a range of conditions to observe the vehicles' network traffic patterns.
Nicole Zagson, Sarah Elizabeth Gillespie, Jason Veara et al.· Proceedings of the 2026 ACM...· 0 citations
This work deploys a platform (RetryWatch) that simulates various types of bounce errors returned by email receiving servers, covering the DNS, TCP, and SMTP communication stages and finds that many providers and software exhibit defects in their email retry implementations.
Rui-Xuan Li, En-Long Li, Ming-Xuan Liu et al.· Proceedings of the 2026 ACM...· 0 citations
This demo paper presents MIRAGE-SDR, a mixed-reality wireless digital twin for embodied intelligence over software-defined radio that enables repeatable pre-deployment testing of communication-aware embodied systems.
Ayan Joshi, Liam Seymour, Narges Golmohammadi et al.· Proceedings of the ACM Works...· 0 citations
This Data Descriptor documents a dataset of 5,709 records that makes indirect relationships between dependencies and conflicts indirectly cause in variability models explicit and helps test configuration and sampling methods and supports research on conflict detection, impact analysis, and automated reasoning.
R. Heradio, Luis Cambelo, M. Olivero et al.· Scientific Data· 0 citations
Modern software systems operate in increasingly complex and heterogeneous environments, intensifying challenges related to reliability. Automated software testing (AST) helps address these demands, yet existing evidence on how widely used tools support reliability-oriented attributes remains dispersed. A consolidated v...
Artur S. Farias, Rodrigo Rocha, J. Dantas· Conference on Computer Scien...· 0 citations
The work investigates the influence of the level of applied mechanical load on the fire resistance limit of a reinforced concrete wall under the conditions of a standard temperature fire regime. For this purpose, a geometric and finite element model of a wall fragment was developed, taking into account the joint oper...
S. Sidnei, I. Ishchenko, Roman Motrichuk et al.· Advances in Science and Tech...· 0 citations
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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