Temperature profile estimation: A study on the Boberg and Lantz steam stimulation model

Cyclic steam stimulation (CSS) is widely used for production from heavy oil reservoirs where oil viscosity is manipulated by heat. Many analytical models have been developed to predict the temperature evolution in the reservoir and estimate the oil recovery. However, they often suffer from a number...

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Main Authors: Mehdi Safari, Raoof Gholami, Ebrahim Khajehvandi, Majid Mohammadi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-03-01
Series:Petroleum
Online Access:http://www.sciencedirect.com/science/article/pii/S2405656118301755
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author Mehdi Safari
Raoof Gholami
Ebrahim Khajehvandi
Majid Mohammadi
author_facet Mehdi Safari
Raoof Gholami
Ebrahim Khajehvandi
Majid Mohammadi
author_sort Mehdi Safari
collection DOAJ
description Cyclic steam stimulation (CSS) is widely used for production from heavy oil reservoirs where oil viscosity is manipulated by heat. Many analytical models have been developed to predict the temperature evolution in the reservoir and estimate the oil recovery. However, they often suffer from a number of assumptions which ultimately reduce their efficiency in providing a realistic prediction. In this study, a numerical solution was proposed for two-dimensional heat conduction in heavy oil reservoirs to obtain the temperature evolution during the soaking period. For a better comparison, an industry widely accepted analytical model, knows as the Boberg and Lantz steam stimulation model, together with its modified version later proposed by Bensten and Donohue were considered to examine temperature changes in a synthetic case study. The results obtained indicated that the analytical solutions overestimate the average temperature of the reservoir by 42% after 300 days of injection while the numerical formulation can provide a close prediction. This numerical approach could be a useful tool to estimate the temperature and oil production from heavy oil reservoirs. Keywords: Thermal EOR, Steam stimulation, Finite element, Boberg and Lantz model, Temperature prediction
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spelling doaj.art-11b77093935e44f8bd19301dc5c70edd2022-12-21T20:33:54ZengKeAi Communications Co., Ltd.Petroleum2405-65612020-03-01619297Temperature profile estimation: A study on the Boberg and Lantz steam stimulation modelMehdi Safari0Raoof Gholami1Ebrahim Khajehvandi2Majid Mohammadi3Department of Petroleum Engineering, Curtin University, MalaysiaDepartment of Petroleum Engineering, Curtin University, MalaysiaDepartment of Petroleum Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranDepartment of Energy Engineering, Faculty of Science, Qom University of Technology, Qom, Iran; Corresponding author.Cyclic steam stimulation (CSS) is widely used for production from heavy oil reservoirs where oil viscosity is manipulated by heat. Many analytical models have been developed to predict the temperature evolution in the reservoir and estimate the oil recovery. However, they often suffer from a number of assumptions which ultimately reduce their efficiency in providing a realistic prediction. In this study, a numerical solution was proposed for two-dimensional heat conduction in heavy oil reservoirs to obtain the temperature evolution during the soaking period. For a better comparison, an industry widely accepted analytical model, knows as the Boberg and Lantz steam stimulation model, together with its modified version later proposed by Bensten and Donohue were considered to examine temperature changes in a synthetic case study. The results obtained indicated that the analytical solutions overestimate the average temperature of the reservoir by 42% after 300 days of injection while the numerical formulation can provide a close prediction. This numerical approach could be a useful tool to estimate the temperature and oil production from heavy oil reservoirs. Keywords: Thermal EOR, Steam stimulation, Finite element, Boberg and Lantz model, Temperature predictionhttp://www.sciencedirect.com/science/article/pii/S2405656118301755
spellingShingle Mehdi Safari
Raoof Gholami
Ebrahim Khajehvandi
Majid Mohammadi
Temperature profile estimation: A study on the Boberg and Lantz steam stimulation model
Petroleum
title Temperature profile estimation: A study on the Boberg and Lantz steam stimulation model
title_full Temperature profile estimation: A study on the Boberg and Lantz steam stimulation model
title_fullStr Temperature profile estimation: A study on the Boberg and Lantz steam stimulation model
title_full_unstemmed Temperature profile estimation: A study on the Boberg and Lantz steam stimulation model
title_short Temperature profile estimation: A study on the Boberg and Lantz steam stimulation model
title_sort temperature profile estimation a study on the boberg and lantz steam stimulation model
url http://www.sciencedirect.com/science/article/pii/S2405656118301755
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AT raoofgholami temperatureprofileestimationastudyonthebobergandlantzsteamstimulationmodel
AT ebrahimkhajehvandi temperatureprofileestimationastudyonthebobergandlantzsteamstimulationmodel
AT majidmohammadi temperatureprofileestimationastudyonthebobergandlantzsteamstimulationmodel