The Application and Analysis of Slug Test on Determining the Permeability Parameters of Fractured Rock Mass

Zhao, Yanrong; Wei, Yufeng; Dong, Xiaosong; Rong, Rong; Wang, Jinguo; Wang, Haonan

doi:10.3390/app12157569

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…Then, based on survey data and on-site slug test techniques [35][36][37][38], the permeability coefficient of the aquifer was obtained. The initial design scheme calculation parameters are shown in Table 4.…”

Section: Initial Scheme Of Foundation Pit Dewatering In the Study Areamentioning

confidence: 99%

Research on Multi-Objective Optimization Model of Foundation Pit Dewatering Based on NSGA-II Algorithm

Ma,

Wang,

Zhao

et al. 2023

Applied Sciences

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This study focuses on optimizing the foundation pit dewatering scheme using the foundation pit dewatering theory and the principles of multi-objective optimization. It explores the development of a multi-objective optimization model and efficient solution technology for foundation pit dewatering. This research focuses on the foundation pit dewatering project at the inverted siphon section of Xixiayuan canal head, specifically from pile number XZ0+326 to XZ0+500. It establishes an optimized mathematical model for foundation pit dewatering that incorporates three objectives. Additionally, a dewatering optimization program is developed by utilizing the MATLAB optimization toolbox and the multi-objective optimization algorithm program based on the NSGA-II algorithm (Gamultiobj). The multi-objective optimization mathematical model is solved, and a Pareto-optimal solution set with uniform distribution is obtained. The multi-objective optimization evaluation system based on AHP is constructed from the three aspects of dewatering cost, the impact of settlement on the environment, and the safety and stability of the foundation pit. The optimization scheme of the Pareto-optimal solution set is selected as the decision result to provide multiple feasible schemes for the dewatering construction of foundation pits. The optimization scheme is verified by using the GMS software. The simulation results demonstrate that the optimization scheme fulfills the requirements for water level and settlement control. Moreover, the developed optimization program efficiently solves the multi-objective optimization problem associated with foundation pit dewatering. Lastly, an evaluation system incorporating the NSGA-II algorithm and AHP is developed and utilized in the context of dewatering engineering in order to offer multiple viable optimal dewatering schemes.

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Section: Initial Scheme Of Foundation Pit Dewatering In the Study Areamentioning

confidence: 99%

Research on Multi-Objective Optimization Model of Foundation Pit Dewatering Based on NSGA-II Algorithm

Ma,

Wang,

Zhao

et al. 2023

Applied Sciences

Self Cite

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“…According to the Chinese "Specification for the Water Pressure Test in the Borehole of Hydropower Projects" (NB/T 35113-2018) [21], generally, a conventional water pressure test [22,23] is always carried out with five phases (P 1 − P 2 − P 3 − P 4 (= P 2 ) − P 5 (= P 1 ), P 1 < P 2 < P 3 ) and three pressure stages, P 1 , P 2 and P 3 , which are 0.3 MPa, 0.6 MPa and 1 MPa, respectively. The water permeability of the test section is calculated by the pressure value (P 3 ) and flow rate (Q 3 ) of the third pressure stage in Equation (25) [24].…”

Section: Fundamentals Of the Conventional Water Pressure Testmentioning

confidence: 99%

Comparative Study on the Application of Different Slug Test Models for Determining the Permeability Coefficients of Rock Mass in Long-Distance Deep Buried Tunnel Projects

et al. 2022

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In large-scale water diversion projects, especially in the central and western regions of China, long-distance deep buried tunnels are generally involved. Therefore, it is essential to carry out field tests to obtain the permeability of the rock mass through which tunnels pass. However, the test holes of large-scale water diversion projects are basically located in mountain areas with complex hydrogeological conditions. Meanwhile, the test holes are far apart and large in depth. As a result, traditional pumping tests cannot meet the requirements. Therefore, the slug test was chosen as the main test method, and the calculation results of the water injection test, the water pressure test and the slug test are analyzed and compared. The calculation results of the three test methods are basically consistent. However, the water injection test and the water pressure test are difficult to implement at a large scale due to many environmental constraints, complex test equipment, long test periods and other factors. Furthermore, the Kipp model, the CBP model and the proposed HWS model, considering the effect of the finite thickness well-skin layer for the first time, were used to analyze and process the slug test data, respectively. The curve fitting effect of the Kipp model was the best, but the calculations were generally larger. The difference between the CBP model and the proposed HWS model is smaller in the calculation results; however, the curve fitting effect of the CBP model is the worst, and the CBP model needs to be further improved. The curve fitting effect of the proposed HWS model was between that of the Kipp model and the CBP model, and the proposed HWS model can be applied to the parameter calculations of the slug test with well-skin. In general, with reference to the criteria for the damping coefficient of the aquifer in the Kipp model, the Kipp model was applicable to the slug test for test holes without well-skin and an aquifer damping coefficient between 0.1 and 5.0. The CBP model was applicable to the slug test under the conditions of no well-skin and an aquifer damping coefficient greater than 2.0. The novel proposed HWS model was applicable to the slug test when the aquifer damping coefficient was greater than 1.0 under the conditions of no well-skin, positive well-skin and negative well-skin.

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Estimating fracture characteristics and hydraulic conductivity from slug tests in epikarst of southwest China

Liu,

Chen

et al. 2024

Journal of Hydrology: Regional Studies

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The Application and Analysis of Slug Test on Determining the Permeability Parameters of Fractured Rock Mass

Cited by 4 publications

References 22 publications

Research on Multi-Objective Optimization Model of Foundation Pit Dewatering Based on NSGA-II Algorithm

Research on Multi-Objective Optimization Model of Foundation Pit Dewatering Based on NSGA-II Algorithm

Comparative Study on the Application of Different Slug Test Models for Determining the Permeability Coefficients of Rock Mass in Long-Distance Deep Buried Tunnel Projects

Estimating fracture characteristics and hydraulic conductivity from slug tests in epikarst of southwest China

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