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  • Open Access


    Prediction of Low-Permeability Reservoirs Performances Using Long and Short-Term Memory Machine Learning

    Guowei Zhu*, Kangliang Guo, Haoran Yang, Xinchen Gao, Shuangshuang Zhang

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.5, pp. 1521-1528, 2022, DOI:10.32604/fdmp.2022.020942

    Abstract In order to overcome the typical limitations of numerical simulation methods used to estimate the production of low-permeability reservoirs, in this study, a new data-driven approach is proposed for the case of water-driven hypo-permeable reservoirs. In particular, given the bottlenecks of traditional recurrent neural networks in handling time series data, a neural network with long and short-term memory is used for such a purpose. This method can reduce the time required to solve a large number of partial differential equations. As such, it can therefore significantly improve the efficiency in predicting the needed production performances. Practical examples about water-driven hypotonic… More >

  • Open Access


    Application of New Water Flooding Characteristic Curve in the High Water-Cut Stage of an Oilfield

    Xi Zhang1, Changquan Wang1,*, Hua Wu2, Xu Zhao2

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 661-677, 2022, DOI:10.32604/fdmp.2022.019486

    Abstract The oil production predicted by means of the conventional water-drive characteristic curve is typically affected by large deviations with respect to the actual value when the so-called high water-cut stage is entered. In order to solve this problem, a new characteristic relationship between the relative permeability ratio and the average water saturation is proposed. By comparing the outcomes of different matching methods, it is verified that it can well reflect the variation characteristics of the relative permeability ratio curve. Combining the new formula with a reservoir engineering method, two new formulas are derived for the water flooding characteristic curve in… More >

  • Open Access


    On the Development of an Effective Pressure Driving System for Ultra-Low Permeability Reservoirs

    Yapu Zhang1,2, Zhengming Yang1,2, Dajian Li3, Xuewei Liu1, Xinli Zhao1,2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.6, pp. 1067-1075, 2021, DOI:10.32604/fdmp.2021.016725

    Abstract Given its relevance to the exploitation of ultra-low permeability reservoirs, which account for a substantial proportion of the world’s exploited and still unexploited reserves, in the present study the development of an adequate water injection system is considered. Due to the poor properties and weak seepage capacity of these reservoirs, the water injection pressure typically increases continuously during water flooding. In this research, the impact on such a process of factors as permeability, row spacing, and pressure gradient is evaluated experimentally using a high-pressure large-scale outcrop model. On this basis, a comprehensive evaluation coefficient is introduced able to account for… More >

  • Open Access


    Fuel Cell Performance Augmentation: Gas Flow Channel Design for Fuel Optimization

    A. B. Mahmud Hasan1,2, S.M. Guo1, M.A. Wahab1

    FDMP-Fluid Dynamics & Materials Processing, Vol.5, No.4, pp. 399-410, 2009, DOI:10.3970/fdmp.2009.005.399

    Abstract The effects of gas flow channel design were studied experimentally for increasing fuel cell performance and fuel optimization. Three types of gas flow channels (serpentine, straight and interdigitated) were designed on the basis of water flooding due to electrochemical reactions, electro-osmotic drag, etc. Experimental results indicate that the best cell performance can be obtained by arranging interdigitated gas flow channel at the anode side and serpentine gas flow channel at the cathode side. Detailed analysis on complex two phase water generation and electrochemical phenomena behind those results were analyzed in this work to find out the best design for gas… More >

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