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  1. 601

    Investigation of Optimum Polymerization Conditions for Synthesis of Cross-Linked Polyacrylamide-Amphoteric Surfmer Nanocomposites for Polymer Flooding in Sandstone Reservoirs by A. N. El-hoshoudy, S. E. M. Desouky, M. Y. Elkady, A. M. Alsabagh, M. A. Betiha, S. Mahmoud

    Published 2015-01-01
    “…Currently enhanced oil recovery (EOR) technology is getting more attention by many countries since energy crises are getting worse and frightening. Polymer flooding by hydrophobically associated polyacrylamides (HAPAM) and its modified silica nanocomposite are a widely implemented technique through enhanced oil recovery (EOR) technology. …”
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  2. 602

    Recovery Method and Parameter Optimization of a Pilot Test for Conformance Control Flooding and Thermal Recovery in the Offshore Heavy Oilfield by Yanxia Zhou, Xiangguo Lu, Bao Cao, Yigang Liu, Yunbao Zhang, Xun Zhong

    Published 2021-01-01
    “…Due to the inherent severe heterogeneity, the efficiency of conventional water flooding is pretty low and usually accompanied with early water breakthrough. …”
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  16. 616

    Weed Management in Rice by Dennis Calvin Odero, Matthew T. VanWeelden

    Published 2019-03-01
    Subjects: “…Flooding…”
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  17. 617

    Weed Management in Rice by Dennis Calvin Odero, Matthew T. VanWeelden

    Published 2019-03-01
    Subjects: “…Flooding…”
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  18. 618

    Leaf Gas Exchange and Nutrient Use Efficiency Help Explain the Distribution of Two Neotropical Mangroves under Contrasting Flooding and Salinity by Pablo Cardona-Olarte, Ken W. Krauss, Robert R. Twilley

    Published 2013-01-01
    “…Semidiurnal tidal and permanent flooding hydroperiods at two constant salinity regimes (10 g L−1 and 40 g L−1) were simulated over 10 months. …”
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  19. 619

    Mapping of Flood and Landslide Prone Areas using Composite Mapping Analysis Method Based on Geographic Information System in East Aceh by Maya Maulita, Nurdin Nurdin, Taufiq Taufiq

    Published 2024-11-01
    “…The method of combining them consists of a scoring process for each parameter, then overlaying the parameters used, calculating and producing relative weights or spatial means, and combining spatial means to produce a value from the weight of each parameter for floods and landslides. The results of the study showed that the percentage of area for the class very prone to flood disasters was 232,156.13 Ha (42.3%), the vulnerable class had an area of 228,634.01 Ha (41.7%), and the non-vulnerable class had an area of 87,687.40 Ha (16%). …”
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  20. 620