Pore-scale modeling of capillary trapping in water-wet porous media: A new cooperative pore-body filling model

Ruspini, Leonardo C.; Farokhpoor, Raheleh; Øren, Pål‐Eric

doi:10.1016/j.advwatres.2017.07.008

Cited by 65 publications

(51 citation statements)

References 75 publications

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“…Earlier network models focused on reproducing only upscaled properties, such as relative permeability, capillary pressure and resistivity index (Aghaei and Piri 2015;Øren et al 1998;Ruspini et al 2017;Valvatne and Blunt 2004). However, network models have free parameters; for instance, the input contact angle is not well constrained in most cases.…”

Section: Introductionmentioning

confidence: 99%

Validating the Generalized Pore Network Model Using Micro-CT Images of Two-Phase Flow

Raeini

Yang²,

Bondino

et al. 2019

Transp Porous Med

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A reliable prediction of two-phase flow through porous media requires the development and validation of models for flow across multiple length scales. The generalized network model is a step towards efficient and accurate upscaling of flow from the pore to the core scale. This paper presents a validation of the generalized network model using micro-CT images of two-phase flow experiments on a pore-by-pore basis. Three experimental secondary imbibition datasets are studied for both sandstone and carbonate rock samples. We first present a quantification of uncertainties in the experimental measurements. Then, we show that the model can reproduce the experimental fluid occupancies and saturations with a good accuracy, which in some cases is comparable with the similarity between repeat experiments. However, high-resolution images need to be acquired to characterize the pore geometry for modelling, while the results are sensitive to the initial condition at the end of primary drainage. The results provide a methodology for improving our physical models using large experimental datasets which, at the pore scale, can be generated using micro-CT imaging of multiphase flow.

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Section: Introductionmentioning

confidence: 99%

Validating the Generalized Pore Network Model Using Micro-CT Images of Two-Phase Flow

Raeini

Yang²,

Bondino

et al. 2019

Transp Porous Med

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“…This is likely caused by the overly simplistic parametric cooperative pore-filling algorithm in this model [7]. More advanced methods to calculate cooperative pore-filling pressures have recently been introduced by Ruspini et al [66] and Raeini et al [67]. The disconnection events could also be the signature of ganglion dynamics [68,69].…”

mentioning

confidence: 99%

Validation of model predictions of pore-scale fluid distributions during two-phase flow

et al. 2018

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Pore-scale two-phase flow modeling is an important technology to study a rock's relative permeability behavior. To investigate if these models are predictive, the calculated pore-scale fluid distributions which determine the relative permeability need to be validated. In this work, we introduce a methodology to quantitatively compare models to experimental fluid distributions in flow experiments visualized with microcomputed tomography. First, we analyzed five repeated drainage-imbibition experiments on a single sample. In these experiments, the exact fluid distributions were not fully repeatable on a pore-by-pore basis, while the global properties of the fluid distribution were. Then two fractional flow experiments were used to validate a quasistatic pore network model. The model correctly predicted the fluid present in more than 75% of pores and throats in drainage and imbibition. To quantify what this means for the relevant global properties of the fluid distribution, we compare the main flow paths and the connectivity across the different pore sizes in the modeled and experimental fluid distributions. These essential topology characteristics matched well for drainage simulations, but not for imbibition. This suggests that the pore-filling rules in the network model we used need to be improved to make reliable predictions of imbibition. The presented analysis illustrates the potential of our methodology to systematically and robustly test two-phase flow models to aid in model development and calibration.

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“…Pore network analogues can reduce some of the problems related to limited resolutions, but these come at the cost of simplifying the pore scale micro structure and reducing dynamic effects for low capillary numbers [18].…”

Section: Models and Set-upmentioning

confidence: 99%

Uncertainty span for relative permeability and capillary pressure by varying wettability and spatial flow directions utilizing pore scale modelling

2020

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Relative permeability and capillary pressure are key properties within special core analysis and provide crucial information for full field simulation models. These properties are traditionally obtained by multi-phase flow experiments, however pore scale modelling has during the last decade shown to add significant information as well as being less time-consuming to obtain.Pore scale modelling has been performed by using the lattice-Boltzmann method directly on the digital rock models obtained by high resolution micro-CT images on end-trims available when plugs are prepared for traditional SCAL-experiments. These digital rock models map the pore-structure and are used for direct simulations of two-phase flow to relative permeability curves.Various types of wettability conditions are introduced by a wettability map that opens for local variations of wettability on the pore space at the pore level. Focus have been to distribute realistic wettabilities representative for the Norwegian Continental Shelf which is experiencing weakly-wetting conditions and no strong preference neither to water nor oil. Spanning a realistic wettability-map and enabling flow in three directions, a large amount of relative permeability curves is obtained. The resulting relative permeabilities hence estimate the uncertainty of the obtained flow properties on a spatial but specific pore structure with varying, but realistic wettabilities.The obtained relative permeability curves are compared with results obtained by traditional SCALanalysis on similar core material from the Norwegian Continental Shelf. The results are also compared with the SCAL-model provided for full field simulations for the same field. The results from the pore scale simulations are within the uncertainty span of the SCAL models, mimic the traditional SCAL-experiments and shows that pore scale modelling can provide a time-and cost-effective tool to provide SCAL-models with uncertainties.

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Pore-scale modeling of capillary trapping in water-wet porous media: A new cooperative pore-body filling model

Cited by 65 publications

References 75 publications

Validating the Generalized Pore Network Model Using Micro-CT Images of Two-Phase Flow

Validating the Generalized Pore Network Model Using Micro-CT Images of Two-Phase Flow

Validation of model predictions of pore-scale fluid distributions during two-phase flow

Uncertainty span for relative permeability and capillary pressure by varying wettability and spatial flow directions utilizing pore scale modelling

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