Haijie Zhang¹, Haifeng Zhao², Ming Jiang^3,*, Junwei Pu¹, Yuanping Luo¹, Weiming Chen¹, Tongtong Luo^1,4, Zhiqiang Li⁵, Xinan Yu⁶

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 221-232, 2025, DOI:10.32604/fdmp.2024.053496 - 24 January 2025

Abstract Pressure control in deep shale gas horizontal wells can reduce the stress sensitivity of hydraulic fractures and improve the estimated ultimate recovery (EUR). In this study, a hydraulic fracture stress sensitivity model is proposed to characterize the effect of pressure drop rate on fracture permeability. Furthermore, a production prediction model is introduced accounting for a non-uniform hydraulic fracture conductivity distribution. The results reveal that increasing the fracture conductivity leads to a rapid daily production increase in the early stages. However, above 0.50 D·cm, a further increase in the fracture conductivity has a limited effect on More >

Sha Liu^*, Jianfa Wu, Xuefeng Yang, Weiyang Xie, Cheng Chang

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2301-2321, 2024, DOI:10.32604/fdmp.2024.052454 - 23 September 2024

Abstract The pivotal areas for the extensive and effective exploitation of shale gas in the Southern Sichuan Basin have recently transitioned from mid-deep layers to deep layers. Given challenges such as intricate data analysis, absence of effective assessment methodologies, real-time control strategies, and scarce knowledge of the factors influencing deep gas wells in the so-called flowback stage, a comprehensive study was undertaken on over 160 deep gas wells in Luzhou block utilizing linear flow models and advanced big data analytics techniques. The research results show that: (1) The flowback stage of a deep gas well presents… More > Graphic Abstract

Yi Song¹, Zheyu Hu^2,*, Cheng Shen¹, Lan Ren², Xingwu Guo¹, Ran Lin², Kun Wang³, Zhiyong Zhao⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.3, pp. 609-624, 2024, DOI:10.32604/fdmp.2023.030521 - 12 January 2024

Abstract Deep shale gas reserves that have been fractured typically have many relatively close perforation holes. Due to the proximity of each fracture during the formation of the fracture network, there is significant stress interference, which results in uneven fracture propagation. It is common practice to use “balls” to temporarily plug fracture openings in order to lessen liquid intake and achieve uniform propagation in each cluster. In this study, a diameter optimization model is introduced for these plugging balls based on a multi-cluster fracture propagation model and a perforation dynamic abrasion model. This approach relies on More > Graphic Abstract