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  • Open Access

    ARTICLE

    Water Huff-n-Puff Optimization in High Saturation Tight Oil Reservoirs

    Zhengyang Zhang1,2, Jing Sun1,2,*, Xin Shi3, Dehua Liu1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 509-527, 2025, DOI:10.32604/fdmp.2025.060393 - 01 April 2025

    Abstract High saturation pressure reservoirs experience rapid pressure decline during exploitation, leading to significant changes in crude oil phase behavior and a continuous increase in viscosity after degassing, which adversely affects oil recovery. This challenge is particularly acute in tight sandstone reservoirs. To optimize the development strategy for such reservoirs, a series of experiments were conducted using core samples from a high saturation tight sandstone reservoir in the JS oilfield. Gas-dissolved crude oil was prepared by mixing wellhead oil and gas samples, enabling the identification of the critical point where viscosity changes as pressure decreases. Oil-water… More >

  • Open Access

    ARTICLE

    Characterization of Pore Structure and Simulation of Pore-Scale Flow in Tight Sandstone Reservoirs

    Min Feng*, Long Wang, Lei Sun, Bo Yang, Wei Wang, Jianning Luo, Yan Wang, Ping Liu

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 573-587, 2025, DOI:10.32604/fdmp.2024.056421 - 01 April 2025

    Abstract This study sheds light on how pore structure characteristics and varying dynamic pressure conditions influence the permeability of tight sandstone reservoirs, with a particular focus on the Paleozoic reservoirs in the Qingshimao Gas Field. Using CT scans of natural core samples, a three-dimensional digital core was constructed. The maximum ball method was applied to extract a related pore network model, and the pore structure characteristics of the core samples, such as pore radius, throat radius, pore volume, and coordination number, were quantitatively evaluated. The analysis revealed a normally distributed pore radius, suggesting a high degree… More >

  • Open Access

    ARTICLE

    Gas-Water Production of a Continental Tight-Sandstone Gas Reservoir under Different Fracturing Conditions

    Yan Liu1, Tianli Sun2, Bencheng Wang1,*, Yan Feng2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.6, pp. 1165-1180, 2024, DOI:10.32604/fdmp.2023.041852 - 27 June 2024

    Abstract A numerical model of hydraulic fracture propagation is introduced for a representative reservoir (Yuanba continental tight sandstone gas reservoir in Northeast Sichuan). Different parameters are considered, i.e., the interlayer stress difference, the fracturing discharge rate and the fracturing fluid viscosity. The results show that these factors affect the gas and water production by influencing the fracture size. The interlayer stress difference can effectively control the fracture height. The greater the stress difference, the smaller the dimensionless reconstruction volume of the reservoir, while the flowback rate and gas production are lower. A large displacement fracturing construction More >

  • Open Access

    ARTICLE

    Evaluation of Well Spacing for Primary Development of Fractured Horizontal Wells in Tight Sandstone Gas Reservoirs

    Fang Li1,*, Juan Wu1, Haiyong Yi2, Lihong Wu2, Lingyun Du1, Yuan Zeng1

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.5, pp. 1015-1030, 2024, DOI:10.32604/fdmp.2023.043256 - 07 June 2024

    Abstract Methods for horizontal well spacing calculation in tight gas reservoirs are still adversely affected by the complexity of related control factors, such as strong reservoir heterogeneity and seepage mechanisms. In this study, the stress sensitivity and threshold pressure gradient of various types of reservoirs are quantitatively evaluated through reservoir seepage experiments. On the basis of these experiments, a numerical simulation model (based on the special seepage mechanism) and an inverse dynamic reserve algorithm (with different equivalent drainage areas) were developed. The well spacing ranges of Classes I, II, and III wells in the Q gas More > Graphic Abstract

    Evaluation of Well Spacing for Primary Development of Fractured Horizontal Wells in Tight Sandstone Gas Reservoirs

  • Open Access

    ARTICLE

    A Data-Oriented Method to Optimize Hydraulic Fracturing Parameters of Tight Sandstone Reservoirs

    Zhengrong Chen*, Mao Jiang, Chuanzhi Ai, Jianshu Wu, Xin Xie

    Energy Engineering, Vol.121, No.6, pp. 1657-1669, 2024, DOI:10.32604/ee.2024.030222 - 21 May 2024

    Abstract Based on the actual data collected from the tight sandstone development zone, correlation analysis using the Spearman method was conducted to determine the main factors influencing the gas production rate of tight sandstone fracturing. An integrated model combining geological engineering and numerical simulation of fracture propagation and production was completed. Based on data analysis, the hydraulic fracture parameters were optimized to develop a differentiated fracturing treatment adjustment plan. The results indicate that the influence of geological and engineering factors in the X1 and X2 development zones in the study area differs significantly. Therefore, it is… More >

  • Open Access

    ARTICLE

    Tight Sandstone Image Augmentation for Image Identification Using Deep Learning

    Dongsheng Li, Chunsheng Li*, Kejia Zhang, Tao Liu, Fang Liu, Jingsong Yin, Mingyue Liao

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 1209-1231, 2023, DOI:10.32604/csse.2023.034395 - 26 May 2023

    Abstract Intelligent identification of sandstone slice images using deep learning technology is the development trend of mineral identification, and accurate mineral particle segmentation is the most critical step for intelligent identification. A typical identification model requires many training samples to learn as many distinguishable features as possible. However, limited by the difficulty of data acquisition, the high cost of labeling, and privacy protection, this has led to a sparse sample number and cannot meet the training requirements of deep learning image identification models. In order to increase the number of samples and improve the training effect… More >

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