A Rigorous Composite-IPR Model for Multilateral Wells

Guo, Boyun; Ling, Kegang; Ghalambor, Ali

doi:10.2118/100923-ms

Cited by 19 publications

(8 citation statements)

References 21 publications

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“…With the advent of new technology, multilateral or multibranched wells are also being drilled. Fluid flow behavior into these nonvertical wells has been also investigated and IPR equations have been presented by several authors (Bendakhlia and Aziz, 1989;Cheng, 1990;Kabir, 1992;Chang, 1992;Raghavan and Joshi, 1993;Huang et al, 1998;Retnanto and Economides, 1996;Kamkom and Zhu, 2005;Yildiz, 2005;Guo et al, 2006). Qasem (1996) presented a detailed study of IPR for naturally fractured reservoirs.…”

Section: Introductionmentioning

confidence: 99%

Modeling Inflow Performance Relationships for Wells Producing From Two-Layer Solution-Gas Drive Reservoirs Without Cross-Flow

Qasem

Nashawi

Malallah

et al. 2012

Petroleum Science and Technology

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Continuous monitoring and accurate anticipation of the present and future performance of the flowing wells and reservoirs constitute the cornerstone elements in the design of optimum field development strategy. It is crucial for the petroleum engineer to possess the appropriate tools that assist in efficiently predicting well behavior, designing artificial lift equipment, forecasting production, and optimizing the entire production system. Inflow performance relationship (IPR) is one of the vital tools required to monitor well performance. Existing inflow performance relationship models are idealistic and mainly designed for homogeneous reservoirs. However, most reservoirs around the world are heterogeneous and composed of layers of different permeabilities. Hence, there is an urgent need for new realistic IPR models that describe the actual reservoir inflow performance behavior more efficiently than the available models. The authors investigate the effects of reservoir heterogeneity on IPR curves for wells producing from two-layer solution-gas drive reservoirs without cross-flow. Furthermore, the results provide the petroleum engineer with two simple yet accurate IPR models for heterogeneous reservoirs. The first model represents the IPR of the well under present flowing conditions, while the second model is used to forecast future well deliverability.

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Section: Introductionmentioning

confidence: 99%

Modeling Inflow Performance Relationships for Wells Producing From Two-Layer Solution-Gas Drive Reservoirs Without Cross-Flow

Qasem

Nashawi

Malallah

et al. 2012

Petroleum Science and Technology

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“…The effects of pressure losses in the horizontal wellbore on the productivity of oil wells have been documented in a number of papers including Dikken (1990), Ozkan et al (1999), Hill and Zhu (2006), Guo et al (2006), and Guo et al (2007). According to the study of Hill and Zhu (2006), the frictional pressure drop along a 5,000 ft long, 4-in.…”

Section: Introductionmentioning

confidence: 99%

A Simple Analytical Model for Predicting Gas Productivity of Horizontal Drain Holes with High-Friction

Guo

Ling

2008

SPE Western Regional and Pacific Section AAPG Joint Meeting

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractIt has been recognized that horizontal-wellbore friction significantly affects deliverability of gas wells in highly productive reservoirs. But there is lack of a simple and rigorous flow model for prediction and evaluation of such type of gas wells. This paper fills the gap.Starting from the first law of thermodynamics and Darcy's law, the reservoir-horizontal wellbore cross-flow was modeled analytically in this study. Pressure and flow rate variations in the horizontal wellbore were formulated analytically. A simple closed-form equation for the total gas production rate from the well was derived. This newly developed mathematical model was compared with Joshi's model and Furui's model in a field-case study. The result shows that the error of the new model is 11.04%, which is much accurate than the other two models. Sensitivity analyses indicated that use of the new model is more beneficial in situations of high-permeability reservoirs, long horizontal wellbores, and small flow paths in the horizontal sections. This paper provides reservoir engineers an accurate and easy-to-use tool for prediction and evaluation of horizontal gas wells. SPE 108390

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“…IPR curves were also used during enhanced oil recovery process where Yeu et al [23] in 1997 used IPR to predict the performance of an oil well under the implementation of polymer flooding. After emerging of the multi-lateral technology, Guo et al [24] in 2006 derived composite IPR for multi-lateral wells. These are few of the many applications of IPR in oil industry.…”

Section: (3)mentioning

confidence: 99%

Inflow Performance Relationship Correlation for Solution Gas-Drive Reservoirs Using Non-Parametric Regression Technique

Daoud¹,

Salam²,

Hashem³

et al. 2017

TOPEJ

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Background:The Inflow Performance Relationship (IPR) describes the behavior of flow rate with flowing pressure, which is an important tool in understanding the well productivity. Different correlations to model this behavior can be classified into empirically-derived and analytically-derived correlations. The empirically-derived are those derived from field or simulation data. The analytically-derived are those derived from basic principle of mass balance that describes multiphase flow within the reservoir. The empirical correlations suffer from the limited ranges of data used in its generation and they are not function of reservoir rock and fluid data that vary per each reservoir. The analytical correlations suffer from the difficulty of obtaining their input data for its application. Objectives:In this work, the effects of wide range of rock and fluid properties on IPR for solution gas-drive reservoirs were studied using 3D radial single well simulation models to generate a general IPR correlation that functions of the highly sensitive rock and fluid data. Methodology:More than 500 combinations of rock and fluid properties were used to generate different IPRs. Non-linear regression was used to get one distinct parameter representing each IPR. Then a non-parametric regression was used to generate the general IPR correlation. The generated IPR correlation was tested on nine synthetic and three field cases. Results & Conclusion:The results showed the high application range of the proposed correlation compared to others that failed to predict the IPR. Moreover, the proposed correlation has an advantage that it is explicitly function of rock and fluid properties that vary per each reservoir.

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A Rigorous Composite-IPR Model for Multilateral Wells

Cited by 19 publications

References 21 publications

Modeling Inflow Performance Relationships for Wells Producing From Two-Layer Solution-Gas Drive Reservoirs Without Cross-Flow

Modeling Inflow Performance Relationships for Wells Producing From Two-Layer Solution-Gas Drive Reservoirs Without Cross-Flow

A Simple Analytical Model for Predicting Gas Productivity of Horizontal Drain Holes with High-Friction

Inflow Performance Relationship Correlation for Solution Gas-Drive Reservoirs Using Non-Parametric Regression Technique

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