Investigation of Water-Coning Phenomenon in Iranian Carbonate Fractured
Reservoirs

Namani, Mehran; Asadollahi, Masoud; Haghighi, Manouchehr

doi:10.2523/108254-ms

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…Therefore, critical rate is defined as the maximum allowable oil flow rate that can be imposed on the well to avoid a cone breakthrough (Salavatov & Ghareeb, 2009). In fractured reservoirs, critical rate is influenced by extra factors such as fracture storativity (ω), fracture transmissivity (λ), fracture pattern and their interaction to matrixes; especially around the wellbore (Namani et al, 2007). Bahrami et al (2004) stated that because of heterogeneity and non-uniform fracture distribution in naturally fractured reservoirs, the development of cone is asymmetrical, and estimation of critical rate and breakthrough time requires modelling with an understanding of fracture pattern around the producing well.…”

Section: Coning Developmentmentioning

confidence: 99%

“…These are the challenges of studying water in fractured reservoirs. In these reservoirs, the extent and stabilization of cone growth depend on factors such as; oil zone thickness, mobility ratio, the extent of the well penetration and vertical permeability; of which the most important parameter is the total production rate (Namani et al, 2007). Moreover, water coning depends on the properties of the porous media, distance from the oil-water interface to the well, oil-water viscosity ratio, production rate, densities of the fluids and capillary effects.…”

Section: Coning Developmentmentioning

confidence: 99%

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Comparison Between Homogenous and Heterogeneous Reservoirs: A Parametric Study of Water Coning Phenomena

Ali¹,

Hamoudi

Wahab

2021

UKH J SCI ENG

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Water coning is the biggest production problem mechanism in Middle East oil fields, especially in the Kurdistan Region of Iraq. When water production starts to increase, the costs of operations increase. Water production from the coning phenomena results in a reduction in recovery factor from the reservoir. Understanding the key factors impacting this problem can lead to the implementation of efficient methods to prevent and mitigate water coning. The rate of success of any method relies mainly on the ability to identify the mechanism causing the water coning. This is because several reservoir parameters can affect water coning in both homogenous and heterogeneous reservoirs. The objective of this research is to identify the parameters contributing to water coning in both homogenous and heterogeneous reservoirs. A simulation model was created to demonstrate water coning in a single- vertical well in a radial cross-section model in a commercial reservoir simulator. The sensitivity analysis was conducted on a variety of properties separately for both homogenous and heterogeneous reservoirs. The results were categorized by time to water breakthrough, oil production rate and water oil ratio. The results of the simulation work led to a number of conclusions. Firstly, production rate, perforation interval thickness and perforation depth are the most effective parameters on water coning. Secondly, time of water breakthrough is not an adequate indicator on the economic performance of the well, as the water cut is also important. Thirdly, natural fractures have significant contribution on water coning, which leads to less oil production at the end of production time when compared to a conventional reservoir with similar properties.

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Section: Coning Developmentmentioning

confidence: 99%

Section: Coning Developmentmentioning

confidence: 99%

Comparison Between Homogenous and Heterogeneous Reservoirs: A Parametric Study of Water Coning Phenomena

Ali¹,

Hamoudi

Wahab

2021

UKH J SCI ENG

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“…Usually, water coning is responsible for high amounts of water production in oil fields. [23] Water coning is defined as the upward movement of the water-oil interface into perforations of a producing well in a cone shape [24] (Figure 1). This phenomenon leads to a considerable drop in oil production rates and increases in water cut.…”

Section: Porous Media Equationmentioning

confidence: 99%

An efficient boundary control for porous media equation: Motivated by water coning problem

2018

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The porous media equation is a nonlinear partially differential equation (PDE) that is extensively applied in industries. One such case is regarding the water coning problem in oil reservoirs. This phenomenon may result in decreasing oil production rates and increasing water cut production as well as costs that may lead to the early closure of an oil well. Conventionally, well shutting-in is the only treatment approach when a well faces this problem; however, this does not lead to full reservoir depletion. Recently, the boundary control approach has been proposed to solve the water coning problem. The most important and challenging question is the following: which controllers guarantee that this issue will be resolved?To deal with the water coning issue, first, several types of controllers were considered and applied on the nonlinear PDE. Next, to investigate the stability behaviour of each controller, the direct Lyapunov approach was employed. Finally, to support the results of the analytical part of this paper and to compare the performance of those controllers, numerical simulations were performed. The results show that only for those control laws that guarantee the asymptotic and exponential stability of the nonlinear PDE, the thickness of the oil column tends to zero as time tends to infinity for the whole spatial domain. In addition, a novel controller, which is introduced in the present study, fulfills the exponential stability and is more efficient than other presented controllers. Using the controller, the whole oil column is drained out about 16 % faster without water breakthrough.Krsti c [5] derived a set of nonlinear boundary control laws that achieve global asymptotic stability for both viscous and the inviscid Burger's equation using both Neumann and Dirichlet boundary control. Moreover, the performance of the nonlinear Neumann boundary control was compared with that of an uncontrolled scenario. [6] Smaoui [7,8] analyzed the boundary stabilization of a more generalized form of the Burger's equation by the nonlinear boundary control for a mixed boundary condition and proved the exponential stability of the system. The exponential stability of the delayed KdVB equation was also proven for the case that the delay parameter was sufficiently small. KS EquationElsewhere, Liu and Krsti c [9] addressed the problem of the global boundary control of the Kuramoto-Sivashinsky (KS) equation (a nonlinear PDE equation) under both Dirichlet and Neumann boundary conditions. This control law guarantees L2-global exponential stability, H2-global asymptotic stability, and H2-semiglobal exponential stability of the nonlinear PDE equation in a certain parameter range, while the uncontrolled case with Neumann boundary conditions is not asymptotically stable.

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“…Water production is a serious problem in the oil fields. Many factors may lead to a normal rise of water oil contact (WOC), water coning phenomenon, and/or water fingering, which are challenging issues for oil production from oil reservoirs. Among these problems, water coning is the most common one.…”

Section: Introductionmentioning

confidence: 99%

Adaptive control design for a nonlinear parabolic PDE: Application to water coning

2018

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Water coning is usually responsible for the production of undesirable water from oil wells. This phenomenon may cause a decrease in oil production rate, increase in water cut production, and costs, which subsequently leads to early shutdown of the well. Although the boundary control of the production rate was suggested for managing the problem, due to the uncertainty associated with the physical nature of petroleum reservoirs, it failed to be implemented in practice. To overcome this issue, the paper employs the adaptive control approach for the distributed parameter system, which is modelled using a nonlinear partial differential equation (PDE). For this purpose, an adaptive control law and an update law for estimating the uncertain parameter are developed using the direct Lyapunov method. Next, the global stability of the closed-loop system with the abovementioned laws is proven. Finally, the effectiveness and performance of the proposed idea is demonstrated by numerical simulations. The results show that the thickness of an oil column tends to zero as time tends to infinity for the whole spatial domain. In other words, as time elapses, the whole oil column will be depleted before the cone breakthrough. The numerical simulation demonstrates that though water cone breakthrough is inevitable in the conventional way of production, the adaptive control approach successfully controls the cone growth up, even with no knowledge of reservoir permeability. The results of this study can be applied to any type of reservoir subjected to water coning.

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Investigation of Water-Coning Phenomenon in Iranian Carbonate Fractured Reservoirs

Cited by 7 publications

References 4 publications

Comparison Between Homogenous and Heterogeneous Reservoirs: A Parametric Study of Water Coning Phenomena

Comparison Between Homogenous and Heterogeneous Reservoirs: A Parametric Study of Water Coning Phenomena

An efficient boundary control for porous media equation: Motivated by water coning problem

Adaptive control design for a nonlinear parabolic PDE: Application to water coning

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