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  • Open Access

    ARTICLE

    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., , 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

    ARTICLE

    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., , pp. 1-17, 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

    ARTICLE

    Experimental Analysis of the Influence of Exhaust Thermal Management on Engine NOx Emission

    Jinliang Zhu1, Xiulei Wang1, Guihua Wang1, Xianglin Zhong2, Zhenguo Li3, Zhiming Wang1, Ke Sun1,*, Shuzhan Bai1,*

    FDMP-Fluid Dynamics & Materials Processing, Vol., , pp. 1-11, DOI: 10.32604/fdmp.2022.019311

    Abstract Exhaust thermal management is essential to allow engines to meet the Euro VI emissions standards and reducing nitrogen oxide emissions is one of the most important targets being pursued nowadays. Along these lines, in the present study, engine’s thermal performances have been evaluated on the basis of a WHTC test, namely a transient engine dynamometer schedule defined by the global technical regulation (GTR) developed by the UN ECE GRPE group (the GTR is covering a world-wide harmonized heavy-duty certification (WHDC) procedure for engine exhaust emissions). The influence of thermal management on fuel consumption, intake, and tailpipe NOx have been quantitatively… More >

  • Open Access

    ARTICLE

    Simulation of Rock Complex Resistivity Using an Inversion Method

    Yu Tang1, Jingcun Yu1, Benyu Su1,3,*, Zhixiong Li2

    FDMP-Fluid Dynamics & Materials Processing, Vol., , pp. 1-10, DOI:10.32604/fdmp.2022.019609

    Abstract The complex resistivity of coal and related rocks contains abundant physical property information, which can be indirectly used to study the lithology and microstructure of these materials. These aspects are closely related to the fluids inside the considered coal rocks, such as gas, water and coalbed methane. In the present analysis, considering different lithological structures, and using the Cole-Cole model, a forward simulation method is used to study different physical parameters such as the zero-frequency resistivity, the polarizability, the relaxation time, and the frequency correlation coefficient. Moreover, using a least square technique, a complex resistivity “inversion” algorithm is written. The… More >

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