Downhole Flow Control Optimization in the Worlds 1st Extended Reach Multilateral Well at Wytch Farm

Gai, H.

doi:10.2118/67728-ms

Cited by 25 publications

(6 citation statements)

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“…The on/off feedback flow control strategy employs two ICVs, which switch between open or closed positions based on measurements of phase flow rates at the well-head. If the well watercut exceeds a threshold value, an "intelligent" work-over is conducted which differs from a conventional work-over because the intelligent completions can be opened or closed remotely from surface, and the phase flow rate through each completion can be determined through "well testing by exception" or "online well tests" (Akram et al 2001;Gai 2001;Paino et al 2004). (Williamson et al 2000) and multiphase downhole flow meters that provide continuous measurements of phase flow rates through each completion (Kragas et al 2003;Drakeley et al 2006).…”

Section: Fixed Flow Controlmentioning

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 All published and unpublished material used in the thesis has been given full acknowledgment.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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Section: Fixed Flow Controlmentioning

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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“…Production from other producing zone(s) is not interrupted and a workover rig is not required, so these cash-intensive operations are avoided (Table 2). Operating on/off ICVs allows the flow rate of each phase through each completion to be determined through "well testing by exception" and "online well tests," in which each completion is analyzed in isolation by selectively opening individual ICVs and measuring wellhead pressure and multiphase flow rates (Akram et al 2001;Gai 2001;Paino et al 2004).…”

Section: Fixed Flow Controlmentioning

confidence: 99%

Insurance Value of Intelligent Well Technology against Reservoir Uncertainty

Addiego-Guevara

Jackson

Giddins

2008

SPE Symposium on Improved Oil Recovery

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Significant challenges remain in the development of optimized control techniques for intelligent wells, particularly with respect to properly incorporating the impact of reservoir uncertainty. Most optimization methods are model-based and are effective only if the model can be used to predict future reservoir behavior with no uncertainty. Recently developed schemes, which update models with data acquired during the optimization process, are computationally very expensive. We suggest that simple reactive control techniques, triggered by permanently installed downhole sensors, can enhance production and mitigate reservoir uncertainty across a range of production scenarios. We assess the implementation of an intelligent horizontal well in a thin oil rim reservoir in the presence of reservoir uncertainty, and evaluate the benefit of using two completions in conjunction with surface and downhole monitoring. Three control strategies are tested. The first is a simple, passive approach using a fixed control device to balance inflow along the well, sized prior to installation. The second and third control strategies are reactive, employing intelligent completions that can be controlled from the surface. The second strategy opens or closes the completions according to well water cut and flow rate and individual downhole rate and phase measurements obtained from a surface multiphase flowmeter and alternating zonal well tests. The third strategy proportionally chokes the completions as increased completion water cut is measured using downhole multiphase flowmeters. A cost-benefit analysis demonstrates that reactive control strategies always yield a neutral or positive return, whereas a passive, model-based strategy can yield negative returns if the reservoir behavior is poorly understood. While reactive control strategies enhance production and mitigate reservoir uncertainty, they may not deliver the optimum possible solution. Proactive control techniques, which additionally incorporate data from downhole reservoir-imaging sensors, may yield nearoptimal gains.

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“…Although, deployment of a reasonable number of AFIs with optimised placements along (A)ICDs is also necessary to ensure the maximum added value (Moradi et al, 2014). Gai (2001) stated that despite the significant development of advanced well hardware in recent years, work addressing the optimal application of this technology has lacked. The design of the AWC, a multidisciplinary task, is one of the important steps in field development planning due to its strong effect on the production profile nowadays.…”

Section: Introductionmentioning

confidence: 99%

Novel Integrated Approach Simultaneously Optimising AFI Locations Plus Number and (A)ICD Sizes

Dowlatabad¹

2015

Europec 2015

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The optimal design of Advanced Well Completions (AWCs) is an important step in field development planning nowadays. However, determination of optimum design of (Autonomous) Inflow Control Devices [(A)ICDs] and their integration with Annular Flow Isolations (AFIs) in an advanced well completed across a heterogeneous reservoir is a challenge which has not been addressed properly yet. Most used, variable strength (A)ICD completion design, workflows by industry are based on trial and error evaluations of a static well-reservoir models. Several researchers also suggested relating the strengths of the devices to near wellbore static reservoir properties such as permeability of the encountering layers. Both of these approaches do not capture the dynamic interactions between the well and constantly changing reservoir conditions. Moreover, neglecting mutual dependency of AFI location and (A)ICD design in the traditionally step-by-step (A)ICD-AFI design workflows, may result in a design delivering low overall productivity throughout the field life.A novel, integrated (A)ICD-AFI completion design workflow is presented in this paper. The workflow simultaneously optimises (A)ICDs strengths and number plus locations of AFIs in the horizontal and/or multilateral wells based on field's production lifetime. The approach includes stochastic optimisation algorithm coupled with a reservoir simulator and an in-house completion design programming code. The code is developed to automatically generate various (A)ICD-AFI completion configurations required to determine the optimum completion design while honouring practical concerns and economics. A novel AFI modelling technique developed allows integration of AFIs in the optimisation process.The application of the new and the traditional workflows are illustrated using heterogeneous reservoir simulation models. A significant improvement in total oil production for the wells, designed by the new workflow, was achieved comparing with the wells designed by the traditional workflows. The study aims to help well engineers in designing optimal advanced well completion delivering maximum possible field's added-value.

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Downhole Flow Control Optimization in the Worlds 1st Extended Reach Multilateral Well at Wytch Farm

Cited by 25 publications

References 0 publications

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

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

Insurance Value of Intelligent Well Technology against Reservoir Uncertainty

Novel Integrated Approach Simultaneously Optimising AFI Locations Plus Number and (A)ICD Sizes

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