Sensitivity Analysis and Prediction Method for Water Inflow of Underground Oil Storage Caverns in Fractured Porous Media

Xu, Zhenhao; Bu, Zehua; Gao, Bin; Pan, Dongdong; Lin, Peng

doi:10.1061/(asce)gm.1943-5622.0001894

Cited by 9 publications

(3 citation statements)

References 31 publications

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“…Indeed, the immense inflows of groundwater during the construction of underground structures generally cause additional costs since the pumping of water is thus imposed. [45][46][47][48] When the predictions before rock excavations are accurate, the design of drainage or dewatering systems can be really efficient to withstand any type of groundwater inflows into underground structures. In this way, adequate accessibility and safety of the construction stages as well as the sustainable operation of underground structures can be effectively guaranteed.…”

Section: C Kmentioning

confidence: 99%

Trends in forecasting groundwater ingresses into underground structures

Frenelus

2024

IJH

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Often, underground structures are faced with groundwater ingresses during their erection and even during their operation. To conceive the most suitable drainage or dewatering systems, and at the same time better guarantee the sustainability of these structures, these inflows should be accurately forecasted in advance. To this end, researchers have made considerable efforts and developed various solutions. This article put forwards the recent trends and progress related to the prediction of groundwater ingresses in underground structures. Pioneering solutions (analytical, semi-analytical, empirical and semi-empirical) as well as numerical, machine learning and other solutions are widely highlighted. Besides, the paper explains that the ideal solutions are still subject of current and future investigations. The need to continually opt for better schemes or strategies for accurate groundwater ingress prediction solutions is adequately expressed. Relevant inspirations can be drawn from this article for future accurate groundwater ingress forecasting solutions.

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Section: C Kmentioning

confidence: 99%

Trends in forecasting groundwater ingresses into underground structures

Frenelus

2024

IJH

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“…These fractures, in conjunction with the porous layers, create a complex new medium system. Accurately assessing flow field characteristics and hydraulic conductivity of fractured multilayered porous media is crucial for CO 2 geological storage (Kim & Santamarina, 2015; March et al., 2018; Martinez et al., 2013; Noiriel & Daval, 2017; Vishal et al., 2014); groundwater contaminant transport (Cvetkovic et al., 2004; El‐Kharakany et al., 2022; Koohbor et al., 2020; Reagan et al., 2015; Vengosh et al., 2014); and hydrocarbon extraction (Hofmann et al., 2014; Hyman et al., 2016; Pan et al., 2020; Xu et al., 2021; X. C. Hu et al., 2021; Y. Q. Hu et al., 2021). Consequently, there is an urgent need to develop and promote a model that is both widely applicable and highly accurate for assessing the permeability characteristics of fractured multi‐layer porous media.…”

Section: Introductionmentioning

confidence: 99%

A Semi‐Analytical Solution for the Equivalent Permeability Coefficient of the Multilayered Porous Medium With Continuous Fracture

Zhang,

Liu

2024

Water Resources Research

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Fractures significantly alter the permeability characteristics of the natural porous media, especially for the multilayered porous medium system. The most direct and effective approach to assess the hydraulic conductivity of a multilayered porous medium with continuous fracture is to determine its equivalent permeability coefficient (EPC). A mathematical model with second‐order accuracy is established to analysis the permeability characteristics of the multilayered porous medium incorporating a continuous fracture. The Navier‒Stokes equation is used to govern the clear fluid motion in the continuous fracture, and the seepage fluid motion in the multilayered porous matrix is governed by the Brinkman‒Darcy equation. The semi‐analytical solutions for the velocity profile and EPC of the present model are derived under the conditions of the jumping stress at the fracture‐matrix interface and the continuous velocity at the matrix(i)‐matrix(i +1) interface. The Lattice Boltzmann method, finite element method, and one domain method simulations are conducted to verify the deduced semi‐analytical solutions of the velocity profile. Furthermore, the calculated EPC of the present multilayered model is in good agreement with that of the existing classic models (i.e., one region: fracture, two regions: fracture‐matrix, three regions: fracture‐matrix1‐matrix2, and multilayered porous medium without fracture). Parameter sensitivity reveals that increasing the thickness, dip angle, and porosity of the fractured porous media increases the flow velocity, while an increase in the stress jump coefficient can result in the opposite effect. This implies that porous layers containing fracture are more susceptible to erosion, particularly under conditions of steep dip angle and strong permeability.

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“…Numerical methods like the finite element method (FEM), finite difference method (FDM), and discrete element method (DEM) have been widely used to model complex geotechnical conditions [16][17][18]. For the water inrush induced by the conductive fault fracture zone, hydraulic conductivity is one of the fundamental properties, which governs the seepage behavior during the water inrush [1,19]. It remains to be verified whether Darcy's law describes water flow in the fault fracture zone accurately.…”

Section: Introductionmentioning

confidence: 99%

Numerical-Analytical Method for Predicting Water Inflow into the Tunnel through Conductive Fault Fracture Zone

Wang¹,

Liu²,

Tu³

et al. 2023

Pol. J. Environ. Stud.

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Water inrush is commonly encountered while tunnelling through a conductive fault fracture zone, and seriously affects the hydrogeological environment around the tunnel. This paper proposed a new method to predict water inflow during the water inrush. Firstly, a unified time-dependent constitutive model considering Darcy flow and non-Darcy flow in the fault fracture zone was established, and the numerical time-variant water inflow was analyzed. Secondly, the analytical prediction of time-variant water inflow was conducted, which was compared with the numerical results and the measured data. The numerical and analytical prediction method was found to be reliable for the water inflow into the tunnel through the conductive fault fracture zone. On this basis, a combined numerical-analytical method for predicting water inflow was proposed and a reasonable prediction range of water inflow was constructed. Furthermore, the modified time-variant water inflow prediction method was developed by incorporating the temporal and spatial variation in the hydraulic conductivity. The modified prediction range of water inflow can be more consistent with the measured water inflow. The results show that the prediction accuracy of water inflow can be improved by considering the depth effect of hydraulic conductivity in the fault fracture zone for this typical case.

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Sensitivity Analysis and Prediction Method for Water Inflow of Underground Oil Storage Caverns in Fractured Porous Media

Cited by 9 publications

References 31 publications

Trends in forecasting groundwater ingresses into underground structures

Trends in forecasting groundwater ingresses into underground structures

A Semi‐Analytical Solution for the Equivalent Permeability Coefficient of the Multilayered Porous Medium With Continuous Fracture

Numerical-Analytical Method for Predicting Water Inflow into the Tunnel through Conductive Fault Fracture Zone

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