Analysis of seepage mechanism and productivity model of multi-stage fractured horizontal well in tight sandstone gas reservoir

He, Jiale; Niu, Xiaobing; Meng, Qingchun; Guo, Fajun; Wang, Hongmei; Liu, Yicang; Wang, Lianguo; Kang, Yongmei; Hu, Kelai; Zhu, Yushuang

doi:10.1080/10916466.2022.2105357

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…These characteristics are of great significance for evaluating the productivity of fractured horizontal wells and optimizing development plans. The seepage field of fractured horizontal wells is influenced by many geological factors (such as formation thickness, permeability) and development conditions (such as fracturing mode and fracture spacing), which jointly determine the flow law of crude oil under the condition of fractured horizontal wells [20,21]. Near the horizontal well without fracturing, crude oil flows to the wellbore in the form of radial flow, which has a large pressure drop and seepage resistance.…”

Section: Seepage Characteristics Of Fractured Horizontal Wellsmentioning

confidence: 99%

Effect Evaluation of Staged Fracturing and Productivity Prediction of Horizontal Wells in Tight Reservoirs

Zhang,

Chen,

et al. 2024

Energies

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In this paper, the effect evaluation and production prediction of staged fracturing for horizontal wells in tight reservoirs are studied. Firstly, the basic characteristics and value of horizontal wells in tight reservoirs are introduced, their geological characteristics, flow mechanism and permeability model are analyzed and the application of grey theory in effect analysis is discussed. Considering the problems of staged fracturing effect evaluation and the production prediction of horizontal wells in tight reservoirs, a BP neural network model based on deep learning is proposed. Due to the interference of multiple physical parameters and the complex functional relationship in the development of tight reservoir fracturing, the traditional prediction method has low accuracy and it is difficult to establish an accurate mapping relationship. In this paper, a BP neural network is used to simulate multivariable nonlinear mapping by modifying the model, and its advantages in solving the coupling relationship of complex functions are brought into play. A neural network model with fracturing parameters as input and oil and gas production as output is designed. Through the training and testing of data sets, the accuracy and applicability of the proposed model for effect evaluation and yield prediction are verified. The research results show that the model can fit the complex mapping relationship between fracturing information and production and provide an effective evaluation and prediction tool for the development of the staged fracturing of horizontal wells in tight reservoirs.

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Section: Seepage Characteristics Of Fractured Horizontal Wellsmentioning

confidence: 99%

Effect Evaluation of Staged Fracturing and Productivity Prediction of Horizontal Wells in Tight Reservoirs

Zhang,

Chen,

et al. 2024

Energies

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Study on Pore Structure Characteristics of tight Sandstone Reservoirs -- Taking Chang 8 in XX block of Ordos Basin as an example

Han,

Qiu,

Sun

et al. 2024

E3S Web Conf.

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The XX block of Ordos Basin has recently achieved a major exploration breakthrough, however the reservoir is more heterogeneous and the single well productivity is more different. Based on drilling, core, analysis and testing data, the rock characteristics, physical characteristics and microscopic pore structure characteristics of the area are comprehensively analyzed. A set of reservoir classification criteria with strong applicability is established. The results show that the reservoir lithology in the study area is complex, and the types and geometric forms of reservoir space are diverse. The porosity is 0.15%~13.65%, and the permeability is) 0.001~83.5 (×10-3μm2. The distribution range of physical properties is wide, and the overall performance is low porosity and ultra-low permeability. The heterogeneity is strong, and a few large pores have an important influence on reservoir permeability. A set of reservoir classification and evaluation criteria is established. The study area mainly develops type II reservoirs. The classification and evaluation criteria can provide reference for the later exploration and development of the study area.

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Productivity model for fractured horizontal wells in tight gas reservoirs considering secondary fractures and water-blocking damage

Zeng,

Bian,

et al. 2023

Petroleum Science and Technology

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Analysis of seepage mechanism and productivity model of multi-stage fractured horizontal well in tight sandstone gas reservoir

Cited by 4 publications

References 32 publications

Effect Evaluation of Staged Fracturing and Productivity Prediction of Horizontal Wells in Tight Reservoirs

Effect Evaluation of Staged Fracturing and Productivity Prediction of Horizontal Wells in Tight Reservoirs

Study on Pore Structure Characteristics of tight Sandstone Reservoirs -- Taking Chang 8 in XX block of Ordos Basin as an example

Productivity model for fractured horizontal wells in tight gas reservoirs considering secondary fractures and water-blocking damage

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