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检索条件"机构=Laboratory of Scientific Computing and Visualization"
40 条 记 录,以下是1-10 订阅
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Deep Transformer Networks Applied to Anomaly Detection in Oil and Gas Wells
Deep Transformer Networks Applied to Anomaly Detection in Oi...
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Offshore Technology Conference, OTC 2025
作者: Oliveira, I.M.N. Lima Junior, E.T. Vieira, T.M.A. Silva, A.C.A. Ramos, D.L. Aranha, P.E. Laboratory of Scientific Computing and Visualization Federal University of Alagoas Alagoas Maceió Brazil Petrobras Rio de Janeiro Rio de Janeiro Brazil
Ensuring well integrity in offshore oil and gas operations is critical for safety, environmental protection, and production efficiency. Early detection of anomalies, such as spurious Downhole Safety Valve (DHSV) closu... 详细信息
来源: 评论
Predicting Remaining Useful Life of Well Tubulars: A Reliability-Based Approach
Predicting Remaining Useful Life of Well Tubulars: A Reliabi...
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Offshore Technology Conference, OTC 2025
作者: Ribeiro Almeida, L.P. Gouveia, L.P. Silva, T.B. Lima Junior, E.T. Lima Santos, J.P. Colombo, D. Melosantanna, V. Abrego, A.L.S. Laboratory of Scientific Computing and Visualization Federal University of Alagoas Alagoas Maceió Brazil Petrobras Rio de Janeiro Rio de Janeiro Brazil
This work estimates the Remaining Useful Life (RUL) of tubulars throughout the lifecycle of oil and gas wells. The RUL evaluation is supported by probabilistic analysis that addresses uncertainties associated with geo... 详细信息
来源: 评论
Improving the Free Span Analysis of Subsea Rigid Pipelines for Life Extension Through Integration and Automation and Efficiency
Improving the Free Span Analysis of Subsea Rigid Pipelines f...
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Offshore Technology Conference, OTC 2025
作者: Martins, R.R. Cardoso, C.O. Matt, C.G.C. Nunes, L.A.N. Góes, R.C.O. Rosa, A.S. Silveira, E.S.S. Petrobras Rio de Janeiro Rio de Janeiro Brazil Laboratory of Scientific Computing and Visualization Federal University of Alagoas Alagoas Maceió Brazil
Free span analysis is essential for the integrity management and life extension of subsea assets at Petrobras. It ensures operational safety and efficiency, minimizes environmental impacts, and supports the company... 详细信息
来源: 评论
A Numerical Model for Friction Prediction in Directional Wells
A Numerical Model for Friction Prediction in Directional Wel...
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Offshore Technology Conference, OTC 2025
作者: Rodrigues, O. Fernandes, C. Araujo, J. Lira, W. Santos, J. Carmo, I. Souza, C. Laboratory of Scientific Computing and Visualization Alagoas Maceió Brazil Federal University of Alagoas Alagoas Maceió Brazil Petrobras Rio de Janeiro Brazil
Improving the accuracy of oil and gas well design is critical to reducing the risk of structural failure over the well's life cycle, particularly for production and injection column components. The friction effect... 详细信息
来源: 评论
Numerical Modeling of Conductor Casing Installation: Leveraging the Material Point Method
Numerical Modeling of Conductor Casing Installation: Leverag...
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Offshore Technology Conference, OTC 2025
作者: Barboza, B.R. Melo, J.M.F. Tenorio, M.S.C. Lima Junior, E.T. Santos, J.P.L. Cutrim, F.S. Dias, R. Laboratory of Scientific Computing and Visualization Federal University of Alagoas Alagoas Maceió Brazil Petrobras Rio de Janeiro Rio de Janeiro Brazil
Objective: The tophole sections are critical for well stability, providing support to the well structure, preventing shallow fluid influx, and protecting against formation collapse. This paper aims to simulate the con... 详细信息
来源: 评论
A System to Detect Oilwell Anomalies Using Deep Learning and Decision Diagram Dual Approach
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SPE Journal 2023年 第3期29卷 1540-1553页
作者: Aranha, P.E. Lopes, L.G.O. Sobrinho, E.S. Paranhos Oliveira, I.M.N. de Araújo, J.P.N. Santos, B.B. Lima, E.T. da Silva, T.B. Vieira, T.M.A. Lira, W.W.M. Policarpo, N.A. Sampaio, M.A. Well Construction Department Petrobras Brazil Department of Mining and Petroleum Engineering Universidade de São Paulo Brazil Laboratory of Scientific Computing and Visualization Federal University of Alagoas Brazil
Detecting unexpected events is a field of interest in oil and gas companies to improve operational safety and reduce costs associated with nonproductive time (NPT) and failure repair. This work presents a system for r... 详细信息
来源: 评论
Application of Data-Driven Techniques in 3D Soil Characterization for Top-Hole Design
Application of Data-Driven Techniques in 3D Soil Characteriz...
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Offshore Technology Conference, OTC 2025
作者: Filho, C. A. F. Várady Tenório, J.K.F. Junior, E. T. Lima Santos, J.P.L. Dias, R. Cutrim, F.S. Laboratory of Scientific Computing and Visualization Federal University of Alagoas Maceió Alagoas Brazil Petrobras Rio de Janeiro Riode Janeiro Brazil
Present work investigated the application of 3D Sparse Bayesian Learning (SBL) and Gaussian ProcessRegression (GPR) for data-driven offshore site characterization focusing specifically on estimating critical soil para... 详细信息
来源: 评论
Improved analysis of GW190412 with a precessing numerical relativity surrogate waveform model
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Physical Review D 2021年 第10期103卷 104027-104027页
作者: Tousif Islam Scott E. Field Carl-Johan Haster Rory Smith Department of Physics and Center for Scientific Computing and Visualization Research University of Massachusetts Dartmouth Massachusetts 02747 USA Department of Mathematics and Center for Scientific Computing and Visualization Research University of Massachusetts Dartmouth Massachusetts 02747 USA LIGO Laboratory Massachusetts Institute of Technology 185 Albany St Cambridge Massachusetts 02139 USA Department of Physics and Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge Massachusetts 02139 USA School of Physics and Astronomy Monash University Vic 3800 Australia OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery Clayton VIC 3800 Australia
The recent observation of GW190412, the first high-mass ratio binary black hole merger, by the LIGO-Virgo Collaboration (LVC) provides a unique opportunity to probe the impact of subdominant harmonics and precession e... 详细信息
来源: 评论
Corrigendum to “Thermoelastic homogenization of periodic composites using an eigenstrain-based micromechanical model” [Applied Mathematical Modelling 85 (2020) 1-18
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Applied Mathematical Modelling 2021年 89卷 1999-1999页
作者: Eduardo Nobre Lages Severino Pereira Cavalcanti Marques Laboratory of Scientific Computing and Visualization Center of Technology Federal University of Alagoas Maceió 57072-900 Alagoas Brazil
来源: 评论
High-Precision Ringdown Surrogate Model for Non-Precessing Binary Black Holes
arXiv
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arXiv 2024年
作者: Zertuche, Lorena Magaña Stein, Leo C. Mitman, Keefe Field, Scott E. Varma, Vijay Boyle, Michael Deppe, Nils Kidder, Lawrence E. Moxon, Jordan Pfeiffer, Harald P. Scheel, Mark A. Nelli, Kyle C. Throwe, William Vu, Nils L. Department of Physics and Astronomy University of Mississippi UniversityMS38677 United States Theoretical Astrophysics 350-17 California Institute of Technology PasadenaCA91125 United States Department of Mathematics Center for Scientific Computing & Visualization Research University of Massachusetts DartmouthMA02747 United States Department of Physics Center for Computational Research East Hall University of Rhode Island KingstonRI02881 United States Cornell Center for Astrophysics and Planetary Science Cornell University IthacaNY14853 United States Laboratory for Elementary Particle Physics Cornell University IthacaNY14853 United States Department of Physics Cornell University IthacaNY14853 United States Am Mühlenberg 1 Potsdam14476 Germany
Highly precise and robust waveform models are required as improvements in detector sensitivity enable us to test general relativity with more precision than ever before. In this work, we introduce a spin-aligned surro... 详细信息
来源: 评论