Recent Advances In Modeling Well Inflow Control Devices In Reservoir Simulation

Youngs, Bryony; Neylon, K.; Holmes, Jonathan A.

doi:10.2523/13925-ms

Cited by 16 publications

(6 citation statements)

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“…Each segment has its own set of parameters to describe the local fluid conditions with fluid pressure, the total flow rate, the flowing fractions of water and gas (Holmes, Barkve, & Lund, 1998) (Nordsveen, et al, 2009) (Youngs, Neylon, & Holmes, 2009). Fig.…”

Section: Key Aspects Of Advanced Well Modelling In Dynamic Simulationmentioning

confidence: 99%

Novel Workflow for the Development of a Flow Control Strategy with Consideration of Reservoir Uncertainties

Gohari

Jutila

Mascagnini

et al. 2015

Day 1 Mon, November 09, 2015

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Flow control along the wellbore is an important factor for a successful field development. Creating a flow control strategy can be especially difficult when a high level of reservoir uncertainty exists.A novel workflow was developed to help determine the flow control / intelligent completion strategy best suited for field development, by taking into account the reservoir uncertainties and control parameters for optimization. The workflow simplifies and reduces cycle time, yet ensures that the inflow control strategy for the field is fit-for-purpose. This novel methodology enables a rapid understanding of the uncertainties and reduces the cycle time of evaluation and high-level screening, and ensures a more responsive decision process to improve production and reduce costs.The described workflow is an optimum approach that is easily applied in an efficient semi-automated manner for any field. This method utilizes steady-state analytical and dynamic reservoir modelling for the determination of geological/subsurface uncertainties and selection of an optimal flow control strategy. Initially a base case model is constructed with the most likely/expected reservoir properties and control parameters. A series of experimental design cases are run, and then an objective function is created, followed by a large number of optimization runs to investigate the potential solution space. The analysis of these cases quantifies the effects of each uncertainty parameter. Using the analysis performed on uncertainty, a number of the scenarios are investigated in detail to study various flow control completions (passive and active) and determine the system that is best suited to achieve the optimum recovery efficiency. A full optimization under uncertainty is conducted so that the flow control settings are optimized against the full probabilistic subsurface uncertainties.

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Section: Key Aspects Of Advanced Well Modelling In Dynamic Simulationmentioning

confidence: 99%

Novel Workflow for the Development of a Flow Control Strategy with Consideration of Reservoir Uncertainties

Gohari

Jutila

Mascagnini

et al. 2015

Day 1 Mon, November 09, 2015

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“…Consequently, the well is completed in two sections, with one completion close to the heel of the well, and the other close to the toe (Figure 2.2). We utilize a multisegment well model which divides the wellbore into a number of one-dimensional segments (Figure 2.2;Holmes et al 1998;Holmes 2001;Youngs et al 2009). The local fluid conditions in each segment are described by a set of independent variables, using material balance and pressure drop equations (Holmes et al 1998).…”

Section: Reservoir and Well Flow Simulationmentioning

confidence: 99%

“…Spiral-type ICDs use a number of helical channels or labyrinthine pathways of a predefined length and diameter, to impose a pressure drop due to surface friction (Li et al 2011). The pressure drop Δp s (all units are given in the Nomenclature at the end of the chapter) across a spiral-type ICD is defined using the following empirical relationship (Youngs et al 2009;Schlumberger 2011) Consistent with previous studies, we use 5 different ICD strengths (a s ) which correspond to nominal pressure drop ratings of 0.2, 0.4, 0.8, 1.6 and 3.2 bar, for a 12m long ICD flowing 26 Sm 3 /day (Henriksen et al 2006;Mojaddam Zadeh et al 2012).…”

Section: Well Modelmentioning

confidence: 99%

Closed-Loop Feedback Control for Production Optimization of Intelligent Wells Under Uncertainty

Dilib

Jackson

2013

SPE Production &Amp; Operations

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Declaration of Originality I declare that this thesis, Closed-loop Feedback Control of Intelligent Wells under Uncertainty, is entirely my own work under the supervision of Prof. Matthew D. Jackson. The work was performed in the Department of Earth Science and Engineering at Imperial College London. All published and unpublished material used in the thesis has been given full acknowledgment. This work has not been previously submitted, in whole or in part, to any other academic institution for a degree, diploma, or any other qualification.

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“…The strengths of the MSW model include the accurate representation of the well trajectory, the ability to define multilateral topologies, the modeling of multiphase flow and complex crossflow effects and the representation of flow control devices such as pumps, chokes, valves and downhole separators (Youngs et al (2009)). In addition, extensions to the MSW model that cater for looped flow paths to model annular flow in inflow control devices (ICDs) have recently been reported by .…”

Section: Multi-segment Well Modelmentioning

confidence: 99%

Modeling Multi-tubing Wells in Reservoir Simulation

Browning

Morton

2011

All Days

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This paper describes the modeling of single and dual tubing wells in a full-field reservoir simulator. The tubings associated with each well are modeled in terms of one primary and one or more secondary wells. The multi-segment well modeling techniques incorporated in the simulator have been extended to model multi-tubing systems thereby avoiding the requirement to model special grid blocks representing a wellbore. Wells with two or more tubings present a significant challenge to reservoir simulation where traditionally the coupling of the well with the reservoir, however complex, is solved in terms of a single surface inlet or outlet.The case studies have been selected to demonstrate that injectors and producers can both be modeled in terms of primary and secondary wells both with targets and constraints. Comparisons are presented showing the differences between single and dual tubing injection and production schemes. An example of a multi-tubing production schemes is also included. These demonstrate that modeling wells with two or more tubings using the multi-segment well approach is practicable for the simulation of hydrocarbon recovery processes.

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Recent Advances In Modeling Well Inflow Control Devices In Reservoir Simulation

Cited by 16 publications

References 0 publications

Novel Workflow for the Development of a Flow Control Strategy with Consideration of Reservoir Uncertainties

Novel Workflow for the Development of a Flow Control Strategy with Consideration of Reservoir Uncertainties

Closed-Loop Feedback Control for Production Optimization of Intelligent Wells Under Uncertainty

Modeling Multi-tubing Wells in Reservoir Simulation

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