Advances in Modeling of Passive Inflow Control Devices Help Optimizing Horizontal Well Completions (Russian)

Ostrowski, L.; Galimzyanov, Artem; Uelker, Buket

doi:10.2118/135998-ru

Cited by 6 publications

(3 citation statements)

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“…NETool or evaluation of the static data near the wellbore such as permeability, to design these completions (Hembling et al, 2009, Das et al, 2012, Gavioli and Vicario, 2012, Al-Khelaiwi, 2013, Birchenko et al, 2011. However, they cannot be the best frequently used in such dynamic, flow system since the design which they are suggesting is based on the best performance of the completion at a particular time, often only valid over the short period, as addressed by (Ogunsanwo et al, 2011, Ostrowski et al, 2010, Al-Jasmi et al, 2013, Moradi et al, 2014, Jackson et al, 2013. Furthermore, the published workflows are also step-by-step approaches, ignoring the effect of the design of previous step on the next one, and so not always the most appropriate method to design an AWC.…”

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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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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“…These completions are traditionally designed using near wellbore performance software that employs a reservoir inflow description, often only valid over a short period, at a particular time of production. Many studies addressed the lack and suggested appropriate designing (A)ICD-AFI completions based on the field lifetime performance (Ostrowski et al, 2010, Al-Jasmi et al, 2013, MoradiDowlatabad et al, 2014. This involves employing approaches based on the predictions of reservoir and well models to identify the optimal well design.…”

Section: Introductionmentioning

confidence: 99%

The Improvement of Production Profile While Managing Reservoir Uncertainties with Inflow Control Devices Completions

MoradiDowlatabad¹,

Zarei²,

Akbari

2015

All Days

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The distributions of various parameters such as of the petro-physical properties, fluid contacts, relative permeabilities, aquifer strength etc. influence oil production profile. This requires implementing probabilistic approaches important for the field's performance prediction. Advanced Well Completions (AWCs) are capable to reactively and/or proactively mitigate the unpredictable production conditions of hydrocarbon reservoirs particularly in case of the heterogeneous reservoirs. However, determining the optimum design of the devices is still a big challenge since it should have been done respecting the long-term performance of the completion. This requires using reservoir models that include significant level of uncertainty due to ambiguity of the reservoir and geological parameters used.Latin Hypercube Sampling (LHS) approach was applied to evaluate various dynamic uncertain parameters with different distributions profiles. Numerous realisations of the reservoir models were also generated to provide a confident level of geological uncertainty by a sequential Gaussian simulation algorithm. Various completions such as Open-hole, Inflow Control Devices (ICDs) and Autonomous Inflow Control Devices (AICDs) were deployed in horizontal wells to investigate the uncertainty management by the well completions.The results showed AICDs completions are more appropriate to reduce the production of the unwanted fluids and increase oil recovery than ICDs. Moreover, overall as well as the individual impacts of the uncertain parameters on oil production profile were evaluated by statistical analysis. This helps determining the most influencing parameters on the production profile as well as the most influenced uncertain parameters when AWCs are deployed. The results showed that although both of the AICDs and ICDs completions significantly reduce the oil production variations comparing with Open-hole completion, AICDs completions perform much better than the ICDs to manage the effects of the reservoir uncertainties on oil recovery. The study aims at providing approaches quantifying the impacts of AWCs on the reservoir uncertainties and confirming the long-term benefits of AWCs while reducing the risk associated with the field's development plan.

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“…In many cases, it may be necessary to install two or more AICDs in a single completion joint (Luo et al, 2015;Ostrowski et al, 2010;Youngs et al, 2009) in order to achieve desired inflow performance, however multiple AICDs can change the flow patterns (i.e. different from those for a single AICD) in the annulus.…”

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confidence: 99%

Modelling the reservoir-to-tubing pressure drop imposed by multiple autonomous inflow control devices installed in a single completion joint in a horizontal well

Lei

Jackson

Muggeridge

et al. 2020

Journal of Petroleum Science and Engineering

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Horizontal or highly deviated wells with long completions that are open to flow are used to increase the contact between the well and the hydrocarbon-bearing reservoir (Joshi, 1991). However, these wells can suffer from non-uniform inflow rates along the open completion, which results in early breakthrough of unwanted fluid phases such as gas or water. This is due to: (1) the so-called 'heel-toe' effect (Birchenko et al., 2010; Dilib and Jackson, 2013), caused when a significant frictional pressure drop occurs along the production tubing, leading to a lower tubing pressure and, therefore, a larger reservoir pressure drawdown at the heel of the well as compared to the toe, and (2) permeability variations along the well caused by reservoir heterogeneity (Dilib et al., 2012; Dilib and Jackson, 2013). The exact pattern of this permeability heterogeneity around any given well is generally uncertain.

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Advances in Modeling of Passive Inflow Control Devices Help Optimizing Horizontal Well Completions (Russian)

Cited by 6 publications

References 0 publications

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

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

The Improvement of Production Profile While Managing Reservoir Uncertainties with Inflow Control Devices Completions

Modelling the reservoir-to-tubing pressure drop imposed by multiple autonomous inflow control devices installed in a single completion joint in a horizontal well

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