Showing 1,041 - 1,060 results of 1,590 for search '"petroleum"', query time: 0.04s Refine Results
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    EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty by Yaser Rouzpeykar, Roya Soltani, Mohammad Ali Afashr Kazemi

    Published 2022-01-01
    “…A fuzzy programming model and a genetic algorithm are developed to solve the proposed model with different sizes. The mining and petroleum industry is used for case studies. Results show that the proposed algorithm can obtain a suitable solution in a reasonable amount of time.…”
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    OPTIMIZATION OF DIMENSION AND SHAPE FOR BALL VALVE BODY IN FIRE SAFE DESIGN by GHEORGHIŢA TOMESCU, RADU IATAN, IULIANA IAŞINICU (STAMATE)

    Published 2015-09-01
    “… The fire safe valves are designed for petroleum and petrochemical complexes and allied industries because working fluid characteristics result in a high fire risk, detonation and / or explosion. …”
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    Prediction of Fluid Viscosity in Multiphase Reservoir Oil System by Machine Learning by Lihua Shao, Ru Ji, Shuyi Du, Hongqing Song

    Published 2021-01-01
    “…It is important to realize rapid and accurate prediction of fluid viscosity in a multiphase reservoir oil system for improving oil production in petroleum engineering. This study proposed three viscosity prediction models based on machine learning approaches. …”
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    Mathematical Model and Solution for Fingering Phenomenon in Double Phase Flow through Homogeneous Porous Media by Piyush R. Mistry, Vikas H. Pradhan, Khyati R. Desai

    Published 2013-01-01
    “…Fingering phenomenon is a physical phenomenon which occurs when a fluid contained in a porous medium is displaced by another of lesser viscosity which frequently occurred in problems of petroleum technology. In the current investigation a mathematical model is presented for the fingering phenomenon under certain simplified assumptions. …”
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    Pharmacognostic analysis and antimalarial evaluation of quercetin in Ilex umbellulata bark using HPTLC, in vitro screening, molecular docking, and network pharmacology by James H. Zothantluanga, Dipak Chetia, Yasangam Umbon, T. C. Lalhriatpuii, Dhritiman Roy, Nidahun Lamare, Salem Lalvenhimi

    Published 2025-02-01
    “…FT-IR fingerprint profiling of petroleum ether, chloroform, ethyl acetate, methanol, aqueous, and 80% MeOH extracts revealed characteristic bands at different wavelengths that are indicative of the presence of certain functional groups. …”
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