A Comprehensive Mechanistic Model for Upward Two-Phase Flow in Wellbores

Ansari, A.M.; Sylvester, N. D.; Shoham, Ovadia; Brill, J.P.

doi:10.2118/20630-ms

Cited by 91 publications

(49 citation statements)

References 12 publications

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“…Several mechanistic models have developed for gas-liquid two-phase flow in pipes since 1980s (Hasan & Kabir, 1988;Xiao et al, 1990;Ansari et al, 1994;Petalas & Aziz, 1997;Ouyang & Aziz, 2002; and so on). Note that there are some commercial developments in modeling multiphase flow in pipes and wells, like OLGA steady state model from Scanpower and Petroleum Experts models No.…”

Section: Mechanistic Modelsmentioning

confidence: 99%

Field Case Histories Demonstrating the Critical Roles Played by Multiphase Flow Models in Appropriate Production Log Interpretation

Ouyang

Suthichoti²

2008

All Days

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Production logging (PLT) has been routinely practiced in oil and gas industry to estimate oil, water, and/or gas production profile, determine fluid entry or exit location and amount along perforation interval(s), and detect major oil/gas/water producing layers. Through successful PLT surveys and appropriate interpretation, we may also identify thief zones and high perm channels, locate injected fluid breakthrough, monitor fluid front movements, detect crossflow and fluid migration, assist in reservoir simulation studies, etc.After a PLT is run, subsequent workover is routinely performed aiming at reducing water production while maintain or even increase oil and/or gas production from the well. Unfortunately, mixing results have been obtained through workover operations designed based on PLT, due to poor logging procedure, unreasonable PL tool selection, poorly executed surveys, inappropriate interpretation, etc.With the existence of two or three phase flow in a well, the interpretation of production logs becomes critical for achieving successful assessment of major oil, water and gas entries and thus a successful workover operation. Under most circumstances, an appropriate interpretation of production logs relies heavily on the selection of a reasonable multiphase flow model to correctly capture complex multiphase flow features in the wellbore.In this paper, major flow characteristics of multiphase flow in a wellbore will first be described. Different correlations and mechanistic models to describe multiphase fluid flow will then be introduced; the pros and cons of correlation/model will be highlighted. Impacts of multiphase flow models on interpretation results of production logs will be investigated.Several field case histories will be discussed in detail to illustrate the critical roles played by multiphase flow models in production log interpretation. For each field case history, the background information of well production, reservoir sands, production logging survey and interpretation, workover efforts and results, and so on, will be included. PLT interpretation based on selected multiphase flow models will be shown and compared with workover results.

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Section: Mechanistic Modelsmentioning

confidence: 99%

Field Case Histories Demonstrating the Critical Roles Played by Multiphase Flow Models in Appropriate Production Log Interpretation

Ouyang

Suthichoti²

2008

All Days

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“…The slippage term, which is usually neglected with the no-slip assumption (9,10) , describes the pressure loss resulting from acceleration.…”

Section: Theorymentioning

confidence: 99%

Constructing Inflow Performance Relationship from Surface Measurements: Retreating to the Fundamentals

Lawal

2007

All Days

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThe Inflow Performance Relationship (IPR) is a key input for integrated studies and optimisation of well/reservoir performance. Constructing the IPR requires reliable flowing bottomhole pressure (FBHP) data. The relatively cheap and evolving option of using flowing tubing head pressure (FTHP) and other surface production data to estimate FBHP depends heavily on a reliable multiphase flow model, as flow in the wellbore is typically multiphasic.Most of the common multiphase flow correlations relating FBHP and FTHP are empirical, and in spite of their relative complexities, have limited applications. With the conventional modelling approach of assuming an equivalent 'liquid' and gas system, these correlations are inherently limited to two-phase flow conditions. In order to honour field data, they often require some form of tuning algorithms, undermining their reliability under situations where such field data are not available.In this paper, a strictly analytic (mechanistic) four-phase model is presented. The model, hinged on the basic principles of mass, momentum and energy conservation, accounts for slip between phases, and estimates FBHP from surface measurements, fluid properties, wellbore geometry and completion string data. Its use for IPR construction is also illustrated.A field example, comparing its performance against an intrinsic two-phase (Beggs and Brill) and an intrinsic four-phase model (Guo), demonstrates its applicability and reliability. Considering its simplicity and robustness, its use can easily be extended to the analysis of drilling hydraulics and other multiphase flow systems that are not explicitly amenable to the so-called generic two-phase approach.

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“…The new IAM tool includes a variety of published multiphase flow correlations including Duns and Ros (1963), Hagedorn and Brown (1965), Orkiszewski (1967), Beggs and Brill (1973), and Brill and Beggs (1991). In addition, the tool also includes some of the later, more mechanistic methods such as Ansari et al (1994), Petalas and Aziz (1998), or BP's GRE method (Mackay 2006).…”

Section: Reservoirsmentioning

confidence: 99%

Integrated Flow-Assurance Modeling of the BP Angola Block 18 Western Area Development

Watson¹,

Hawkes²,

Pickering³

et al. 2007

SPE Projects, Facilities &Amp; Construction

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As oilfield developments become more challenging and economically challenging, flow assurance has become crucial to the feasibility of projects. Consequently, flow-assurance issues such as hydrates or wax deposition must now be considered early in concept selection. Modern numerical methods, coupled with the latest software engineering techniques, now allow the rigorous calculation of multiphase thermal hydraulic behavior in an integrated asset model (IAM) on time scales acceptable for concept selection.This paper describes the application of a new IAM tool to analyze options for the development of fields in the western part of BP's Angolan deepwater Block 18. Novel aspects include the embedding of field scheduling rules such that the drilling schedules were predicted automatically from the model. In addition, different field architectures were considered including tubing and pipeline sizes, looping of pipelines and subsea multiphase boosting, and the impact on production rates and drilling schedules was quantified. Furthermore, the option to tie back to the planned Greater Plutonio floating production storage and offloading (FPSO) vessel was also modeled with the forecast ullage profile being imposed on production from the new fields. All calculations were performed using rigorous multiphase thermal-hydraulic models allowing flowassurance constraints to be analyzed simultaneously.

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A Comprehensive Mechanistic Model for Upward Two-Phase Flow in Wellbores

Cited by 91 publications

References 12 publications

Field Case Histories Demonstrating the Critical Roles Played by Multiphase Flow Models in Appropriate Production Log Interpretation

Field Case Histories Demonstrating the Critical Roles Played by Multiphase Flow Models in Appropriate Production Log Interpretation

Constructing Inflow Performance Relationship from Surface Measurements: Retreating to the Fundamentals

Integrated Flow-Assurance Modeling of the BP Angola Block 18 Western Area Development

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