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  • Open Access

    ARTICLE

    Development of an Index System for the Optimization of Shut-In and Flowback Stages in Shale Gas Wells

    Weiyang Xie1,2, Cheng Chang1,2, Ziqin Lai1,2,*, Sha Liu1,2, Han Xiao1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.6, pp. 1417-1438, 2025, DOI:10.32604/fdmp.2025.060956 - 30 June 2025

    Abstract In the context of post-stimulation shale gas wells, the terms “shut-in” and “flowback” refer to two critical phases that occur after hydraulic fracturing (fracking) has been completed. These stages play a crucial role in determining both the well’s initial production performance and its long-term hydrocarbon recovery. By establishing a comprehensive big data analysis platform, the flowback dynamics of over 1000 shale gas wells were analyzed in this work, leading to the development of an index system for evaluating flowback production capacity. Additionally, a shut-in chart was created for wells with different types of post-stimulation fracture More >

  • Open Access

    ARTICLE

    Production Capacity Prediction Method of Shale Oil Based on Machine Learning Combination Model

    Qin Qian1, Mingjing Lu1,2,*, Anhai Zhong1, Feng Yang1, Wenjun He1, Min Li1

    Energy Engineering, Vol.121, No.8, pp. 2167-2190, 2024, DOI:10.32604/ee.2024.049430 - 19 July 2024

    Abstract The production capacity of shale oil reservoirs after hydraulic fracturing is influenced by a complex interplay involving geological characteristics, engineering quality, and well conditions. These relationships, nonlinear in nature, pose challenges for accurate description through physical models. While field data provides insights into real-world effects, its limited volume and quality restrict its utility. Complementing this, numerical simulation models offer effective support. To harness the strengths of both data-driven and model-driven approaches, this study established a shale oil production capacity prediction model based on a machine learning combination model. Leveraging fracturing development data from 236 wells… More >

  • Open Access

    ARTICLE

    Production Capacity Evaluation of Horizontal Shale Gas Wells in Fuling District

    Jingyi Wang1, Jing Sun1,*, Dehua Liu1, Xiang Zhu1

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.5, pp. 613-625, 2019, DOI:10.32604/fdmp.2019.08782

    Abstract One of the important indicators of shale gas reservoir excavation is capacity evaluation, which directly affects whether large-scale shale gas reservoirs can be excavated. Capacity evaluation is the basis of system analysis and dynamic prediction. Therefore, it is particularly important to conduct capacity evaluation studies on shale gas horizontal wells. In order to accurately evaluate the horizontal well productivity of shale gas staged fracturing, this paper uses a new method to evaluate the productivity of Fuling shale gas. The new method is aimed at the dynamic difference of horizontal wells and effectively analyzes the massive More >

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