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  1. 21

    Characterization Method of Tight Sandstone Reservoir Heterogeneity and Tight Gas Accumulation Mechanism, Jurassic Formation, Sichuan Basin, China by Lin Jiang, Wen Zhao, Benjian Zhang, Chao Zheng, Feng Hong, Jiaqing Hao

    Published 2022-01-01
    “…Based on this parameter, petroleum geologists can understand the interlayer heterogeneity during fluvial deposition and predict the sweet spots of tight gas; (2) the permeability ratio relationship between hydrocarbon accumulation of the tight sandstone reservoir mainly manifests as long as there is the existence of the differential permeability and there will be differences in natural gas migration dynamics, so that the natural gas accumulates in pores and depends on the extent of source rock; and (3) although the difference between capillary force curves is at the core of the influence of the permeability ratio on the gas-bearing capacity of the “sweet spot” sand body, the permeability ratio is a parameter of practical engineering significance. …”
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  2. 22

    COGENERATION OPPORTUNITIES TO IMPROVE THE EFFICIENCY OF MICRO HEAT POWER PLANTS BASED ON AIR COOLED INTERNAL COMBUSTION ENGINES by P. A. Shchinnikov, D. S. Sinelnikov

    Published 2017-01-01
    “…They can be used in the household, by professional builders, geologists, the military and rescuers in the area of emergencies and in areas with a lack of infrastructure. …”
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  3. 23

    High-level radioactive waste repository: How Geology combined with societal principles can lead to public acceptance—the German experiment by Schafmeister, Maria-Theresia

    Published 2023-01-01
    “…As the general consensus is that the rocks of earth crust’s are the best option for a controlled storage, scientists including geologists, geophysicists and hydrogeologists are looking worldwide for safe underground repository sites. …”
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  4. 24

    K-Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China) by Xueyi Shang, Xibing Li, A. Morales-Esteban, Longjun Dong, Kang Peng

    Published 2017-01-01
    “…Furthermore, the optimal number for detailed geological structure interpretation is confirmed as eleven clusters, and we found that two areas probably have faults or caves, and two faults may be falsely inferred by mine geologists. Seismic hazard assessment shows that C5 and C7 (K=11) have a high mean moment magnitude (mM) and C1, C2, C3, and C4 (K=11) have a relatively high mM, where special attention is needed when mining. …”
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  5. 25

    Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

    Published 2022-01-01
    “…Consequently, CRBM-Bayes-LightGBM combined with transfer learning is solidly demonstrated by a stronger capability and an expected robustness on the prediction of porosity, permeability, and water saturation, which then clarify that the proposed predictor can be viewed as a preferential selection when geologists, geophysicists, or petrophysicists need to finalize a characterization of sandy-mud reservoirs.…”
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  6. 26

    Soil data from the Barbastro-Balaguer gypsum belt, NE SpainMendeley Data by Juan Herrero, María Tierra, Carmen Castañeda

    Published 2025-02-01
    “…This gypsum outcrop was named in the 19th Century [2] as a gypseous belt, and has been further studied by other geologists like [3,4] and by civil engineers e.g. Hué and Llamas [5]. …”
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  7. 27
  8. 28

    Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

    Published 2024-12-01
    “…Additionally, the preparation of different sections from the mineral material was conducted by geologists and engineers. By employing these software programs, and through the drawing of boreholes, creation of cross-sectional profiles of lithology and grade, and development of a three-dimensional model of lithology, a thorough understanding of both the surface and depth of the deposit has been achieved. …”
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