Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells

M. Mostofinia, J. Mohseni, P. Pourafshary, Z. Lavafian

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In wells with multiple pay zones, portion of each layer in total flow rate is a long standing challenge. Aim of this paper is to find one of temperature log avail namely inflow rate estimation. However current methods can give the inflow rate only for single phase flow. In this paper a novel temperature distribution model is developed in wells with multiple pay zones.It accounts for all the real conditions such as non-homogeneous multiphase flow and phase changes which have been ignored by previous authors. A temperature model in reservoir accounting for oil degassing, convection and conduction heat transfer is coupled with wellbore model. Then the model was used as a tool to find inflow rate from each pay zone. We found produced water and gas from reservoir is cooler than produced oil while water coning cause warming effect. Also, it has been shown that how ignoring oil degassing in reservoir cause overestimation of sandface temperature. The predicted inflow rate from temperature model was compared with spinner flowmeter results. The error was between 10-15 percent which is reasonable. This work is helpful to identify zones producing excessive water or gas entries and realize necessity of reservoir stimulation.

Original languageEnglish
Publication statusPublished - Jan 1 2010
Externally publishedYes
Event12th European Conference on the Mathematics of Oil Recovery, ECMOR 2010 - Oxford, United Kingdom
Duration: Sep 6 2010Sep 9 2010

Conference

Conference12th European Conference on the Mathematics of Oil Recovery, ECMOR 2010
CountryUnited Kingdom
CityOxford
Period9/6/109/9/10

Fingerprint

inflow
Mathematical models
well
Oils
Degassing
degassing
temperature
oil
Temperature
Gases
single-phase flow
Heat convection
flowmeter
Water
Flowmeters
Multiphase flow
multiphase flow
gas
Heat conduction
water

ASJC Scopus subject areas

  • Geochemistry and Petrology

Cite this

Mostofinia, M., Mohseni, J., Pourafshary, P., & Lavafian, Z. (2010). Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells. Paper presented at 12th European Conference on the Mathematics of Oil Recovery, ECMOR 2010, Oxford, United Kingdom.

Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells. / Mostofinia, M.; Mohseni, J.; Pourafshary, P.; Lavafian, Z.

2010. Paper presented at 12th European Conference on the Mathematics of Oil Recovery, ECMOR 2010, Oxford, United Kingdom.

Research output: Contribution to conferencePaper

Mostofinia, M, Mohseni, J, Pourafshary, P & Lavafian, Z 2010, 'Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells' Paper presented at 12th European Conference on the Mathematics of Oil Recovery, ECMOR 2010, Oxford, United Kingdom, 9/6/10 - 9/9/10, .
Mostofinia M, Mohseni J, Pourafshary P, Lavafian Z. Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells. 2010. Paper presented at 12th European Conference on the Mathematics of Oil Recovery, ECMOR 2010, Oxford, United Kingdom.
Mostofinia, M. ; Mohseni, J. ; Pourafshary, P. ; Lavafian, Z. / Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells. Paper presented at 12th European Conference on the Mathematics of Oil Recovery, ECMOR 2010, Oxford, United Kingdom.
@conference{ad80cac5a1bf4ac4b80cc5dbbe4fcf64,
title = "Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells",
abstract = "In wells with multiple pay zones, portion of each layer in total flow rate is a long standing challenge. Aim of this paper is to find one of temperature log avail namely inflow rate estimation. However current methods can give the inflow rate only for single phase flow. In this paper a novel temperature distribution model is developed in wells with multiple pay zones.It accounts for all the real conditions such as non-homogeneous multiphase flow and phase changes which have been ignored by previous authors. A temperature model in reservoir accounting for oil degassing, convection and conduction heat transfer is coupled with wellbore model. Then the model was used as a tool to find inflow rate from each pay zone. We found produced water and gas from reservoir is cooler than produced oil while water coning cause warming effect. Also, it has been shown that how ignoring oil degassing in reservoir cause overestimation of sandface temperature. The predicted inflow rate from temperature model was compared with spinner flowmeter results. The error was between 10-15 percent which is reasonable. This work is helpful to identify zones producing excessive water or gas entries and realize necessity of reservoir stimulation.",
author = "M. Mostofinia and J. Mohseni and P. Pourafshary and Z. Lavafian",
year = "2010",
month = "1",
day = "1",
language = "English",
note = "12th European Conference on the Mathematics of Oil Recovery, ECMOR 2010 ; Conference date: 06-09-2010 Through 09-09-2010",

}

TY - CONF

T1 - Developing and analysis of a mathematical model to predict temperature and inflow profile in multilateral wells

AU - Mostofinia, M.

AU - Mohseni, J.

AU - Pourafshary, P.

AU - Lavafian, Z.

PY - 2010/1/1

Y1 - 2010/1/1

N2 - In wells with multiple pay zones, portion of each layer in total flow rate is a long standing challenge. Aim of this paper is to find one of temperature log avail namely inflow rate estimation. However current methods can give the inflow rate only for single phase flow. In this paper a novel temperature distribution model is developed in wells with multiple pay zones.It accounts for all the real conditions such as non-homogeneous multiphase flow and phase changes which have been ignored by previous authors. A temperature model in reservoir accounting for oil degassing, convection and conduction heat transfer is coupled with wellbore model. Then the model was used as a tool to find inflow rate from each pay zone. We found produced water and gas from reservoir is cooler than produced oil while water coning cause warming effect. Also, it has been shown that how ignoring oil degassing in reservoir cause overestimation of sandface temperature. The predicted inflow rate from temperature model was compared with spinner flowmeter results. The error was between 10-15 percent which is reasonable. This work is helpful to identify zones producing excessive water or gas entries and realize necessity of reservoir stimulation.

AB - In wells with multiple pay zones, portion of each layer in total flow rate is a long standing challenge. Aim of this paper is to find one of temperature log avail namely inflow rate estimation. However current methods can give the inflow rate only for single phase flow. In this paper a novel temperature distribution model is developed in wells with multiple pay zones.It accounts for all the real conditions such as non-homogeneous multiphase flow and phase changes which have been ignored by previous authors. A temperature model in reservoir accounting for oil degassing, convection and conduction heat transfer is coupled with wellbore model. Then the model was used as a tool to find inflow rate from each pay zone. We found produced water and gas from reservoir is cooler than produced oil while water coning cause warming effect. Also, it has been shown that how ignoring oil degassing in reservoir cause overestimation of sandface temperature. The predicted inflow rate from temperature model was compared with spinner flowmeter results. The error was between 10-15 percent which is reasonable. This work is helpful to identify zones producing excessive water or gas entries and realize necessity of reservoir stimulation.

UR - http://www.scopus.com/inward/record.url?scp=84896289564&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896289564&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84896289564

ER -