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Key Factors and Changing Rules of Foam Stability in Gas Well Field.
- Published in:
- Chemistry & Technology of Fuels & Oils, 2023, v. 59, n. 5, p. 1079, doi. 10.1007/s10553-023-01620-7
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- Article
Quantitative Effects of Different Factors on the Thermal Characteristics of New Submarine Hot Oil Pipeline During the Preheating Process.
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- Chemistry & Technology of Fuels & Oils, 2022, v. 58, n. 4, p. 653, doi. 10.1007/s10553-022-01433-0
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- Article
Convolutional Neural Network Intelligent Segmentation Algorithm-Based Magnetic Resonance Imaging in Diagnosis of Nasopharyngeal Carcinoma Foci.
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- Contrast Media & Molecular Imaging, 2021, p. 1, doi. 10.1155/2021/2033806
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- Article
Effective Removal of Pb 2+ from Aqueous Solution Using Magnetic Mesoporous Silica Prepared by Rubidium-Containing Biotite Leaching Residues and Wastewater.
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- Water (20734441), 2022, v. 14, n. 17, p. 2652, doi. 10.3390/w14172652
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- Article
New method for the transient simulation of natural gas pipeline networks based on the fracture-dimension-reduction algorithm.
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- Natural Gas Industry B, 2023, v. 10, n. 5, p. 490, doi. 10.1016/j.ngib.2023.09.004
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- Article
Improved Adaptive Time Step Method for Natural Gas Pipeline Transient Simulation.
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- Energies (19961073), 2022, v. 15, n. 14, p. N.PAG, doi. 10.3390/en15144961
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- Article
Evaluation of Prediction Models for the Physical Properties in Fire-Flooding Exhaust Reinjection Process.
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- Energies (19961073), 2022, v. 15, n. 2, p. 562, doi. 10.3390/en15020562
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- Article
Numerical Simulation for Preheating New Submarine Hot Oil Pipelines.
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- Energies (19961073), 2019, v. 12, n. 18, p. 3518, doi. 10.3390/en12183518
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- Article
An Enhancement Method Based on Long Short-Term Memory Neural Network for Short-Term Natural Gas Consumption Forecasting.
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- Energies (19961073), 2023, v. 16, n. 3, p. 1295, doi. 10.3390/en16031295
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- Article
Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter--Element Coupled Model.
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- CMES-Computer Modeling in Engineering & Sciences, 2023, v. 136, n. 2, p. 1973, doi. 10.32604/cmes.2023.026218
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- Article
Study on the Economic Insulation Thickness of the Buried Hot Oil Pipelines Based on Environment Factors.
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- CMES-Computer Modeling in Engineering & Sciences, 2020, v. 124, n. 1, p. 45, doi. 10.32604/cmes.2020.08973
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- Article