Showing 1 - 20 results of 158 for search '"Luzhou"', query time: 0.05s Refine Results
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    Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block by Xinyang He, Kun Zhang, Shu Jiang, Zhenxue Jiang, Xueying Wang, Wei Jiang, Jing Li, Yijia Wu, Zhi Gao, Tian Tang, Cheng Yang, Xuejiao Yuan, Fengli Han, Zeyun Wang, Laiting Ye

    Published 2025-01-01
    “…In this study, the deep marine shale of Longmaxi Formation in Luzhou area was taken as an example, vitrinite reflectance analysis, kerogen microscopy experiment, TOC content analysis, mineral composition analysis, gas content measurement, isothermal adsorption experiment, physical property analysis and argon ion polishing scanning electron microscopy experiment were carried out to find out factors affecting the gas content of deep marine shale, and a gas content prediction model has been worked out. …”
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    Controlling factors of low resistivity in deep shale and their implications on adsorbed gas content: a case study in the luzhou area by Mugui Liang, Guang Fu, Yinghua Yu, Hongqi Yuan

    Published 2024-12-01
    “…Abstract Numerous gas-rich, low resistivity shale wells have been discovered in the Luzhou deep shale gas of Sichuan Basin, providing strong evidence that low-resistivity shale also holds significant potential for shale gas exploration. …”
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    Research on Population Trends and Optimal Allocation of Urban and Rural Public Resources in Luzhou City Based on Multi source Remote Sensing Data by Bing Xiao, Dan Xie, Ze Wang, Tao Ji, Ming Zeng, Jianyu Chen, Jiangjun Chen

    Published 2024-01-01
    “…This study is mainly based on multi-source nighttime light remote sensing data to analyse the population distribution and urban and rural public resources development in Luzhou City, Sichuan Province from 2012 to 2020, and the results of the study show that: 1.The total population of Luzhou City in 2020 is 314,100 more than the resident population of Luzhou City in the regression compared with the statistical data of Luzhou City, and the relative error is 7.38%, which shows that the overall accuracy of this study is high. 2. …”
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