Prediction of Temperature Distribution in Intelligent Wells (Russian)

Muradov, Khafiz; Davies, D. R.

doi:10.2118/114772-ru

Cited by 11 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is based on the reservoir thermal model from (Sui, Zhu et al 2008) and the intelligent well thermal model from (Muradov and Davies 2008). It is based on the reservoir thermal model from (Sui, Zhu et al 2008) and the intelligent well thermal model from (Muradov and Davies 2008).…”

Section: Discussionmentioning

confidence: 99%

“…Yoshioka presented a multiphase steady state temperature and pressure model along the wellbore in horizontal wells (Yoshioka, Zhu et al 2005). It combines the reservoir temperature model from (Sui, Zhu et al 2008) including the necessary modifications for the two phase formulation, and the well temperature model from (Muradov and Davies 2008). It is at least to date the most complete model for intelligent wells.…”

mentioning

confidence: 99%

“…Reservoir is considered homogeneous within each layer, anisotropic and two-phase (oil/water or gas/liquid) saturated with the initial pressure above the bubble point. Energy balance neglects kinetic energy and viscous shear energy terms but heat transfer for annulus, tubing and near wellbore region are taken into account (Muradov and Davies 2008). In liquid/liquid case it simplifies to homogenous multiphase model.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Modeling and Analysis of Temperature Transients Caused by Step-Like Change of Downhole Flow Control Device Flow Area

Silva

Muradov²,

Carvalho

2012

All Days

View full text Add to dashboard Cite

Evolution and wide-spreading of downhole monitoring systems has increased a lot over the last few years. Particularly downhole temperature data has been recognized as an important input for real-time production optimization. Whereas distributed temperature analysis and interpretation are the only methods used now, temperature evolution with time offers an excellent new source of information not yet fully understood. Simulation and analysis of temperature transients in wells are therefore a promising research area at the initial stage of development.Near wellbore multiphase flow simulation considering heat transfer is not a simple task. There are aspects such as wellreservoir mutual influence where transient analysis needs to be considered. Neglecting thermal effects and completion design will result in inaccuracies of the physical phenomena representation.This paper describes a non-isothermal dynamic well-reservoir simulator taking into account the presence of flow control valves in the wellbore. A fully coupled approach was used to solve the problem. The proposed model studied is two dimensional for the reservoir and one dimensional for the well. The reservoir is considered homogeneous, anisotropic and twophase (oil/water or gas/liquid) saturated with the initial pressure above the bubble point. The well is vertical and the multiphase drift-flux model considering the radial influx is used to describe the flow in the wellbore.Case studies for three-zone intelligent wells are analyzed from transient temperature profiles generated by the simulator. A single phase is used as a base case for the two-phase case. This paper shows that temperature transients from a step-change in production rate are able to provide full well-test equivalent information about each production zone. A downhole flow control valve step-change is also analyzed as a feasibility study of a well test without zonal shut-in. Restrictions of the simulator are presented and discussed for an appropriate use of the results.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Modeling and Analysis of Temperature Transients Caused by Step-Like Change of Downhole Flow Control Device Flow Area

Silva

Muradov²,

Carvalho

2012

All Days

View full text Add to dashboard Cite

show abstract

“…A numeric non-isothermal dynamic well-reservoir model is developed and validated as an IW representative application to generate synthetic data and illustrate the applicability of this new data analysis approach. It combines the reservoir temperature model from (Sui, Zhu et al 2008) and the well temperature model from (Muradov and Davies 2008) including the necessary modifications for the two phase flow formulation and multilayer reservoir.…”

Section: Bibliographymentioning

confidence: 99%

“…The temperature model (Muradov and Davies 2008) is derived from total energy balance and mass balance equations. It was simplified here to fit the assumptions made.…”

Section: Temperature Modelmentioning

confidence: 99%

Intelligent Well Transient Temperature Signal Reconstruction

SILVA¹

View full text Add to dashboard Cite

Early-time Asymptotic, Analytical Temperature Solution for Linear Non-adiabatic Flow of a Slightly Compressible Fluid in a Porous Layer

Muradov

Davies

2011

Transp Porous Med

View full text Add to dashboard Cite

This article will present a set of analytical equations for the calculation of early time temperature at the edge of a porous, finite layer experiencing linear flow of a slightly compressible fluid. The equations provide the full, transient temperature solution for the flow of slightly compressible fluids (i.e., liquids and, sometimes, gasses) into horizontal wells. The solution is essential for temperature transient analysis in smart wells-a monitoring approach of great potential, but in early development stage. The early time, analytical model solution provided in the paper will be tested against a rigorous numerical simulation model. The methods proposed here can be applied to a wide variety of well-completion types, flow conditions and system properties. This article will first discuss the problem of transient temperature analysis, the flow conditions and the assumptions required to sufficiently simplify the thermal model so that an analytical solution can be derived. The solution is derived for the temperature change generated by the Joule-Thomson fluid heating under the condition of 2D heat losses to the surrounding formation.

show abstract

Prediction of Temperature Distribution in Intelligent Wells (Russian)

Cited by 11 publications

References 0 publications

Modeling and Analysis of Temperature Transients Caused by Step-Like Change of Downhole Flow Control Device Flow Area

Modeling and Analysis of Temperature Transients Caused by Step-Like Change of Downhole Flow Control Device Flow Area

Intelligent Well Transient Temperature Signal Reconstruction

Early-time Asymptotic, Analytical Temperature Solution for Linear Non-adiabatic Flow of a Slightly Compressible Fluid in a Porous Layer

Contact Info

Product

Resources

About