Performance analysis of superheated steam injection for heavy oil recovery and modeling of wellbore heat efficiency. (15th April 2017)
- Record Type:
- Journal Article
- Title:
- Performance analysis of superheated steam injection for heavy oil recovery and modeling of wellbore heat efficiency. (15th April 2017)
- Main Title:
- Performance analysis of superheated steam injection for heavy oil recovery and modeling of wellbore heat efficiency
- Authors:
- Sun, Fengrui
Yao, Yuedong
Chen, Mingqiang
Li, Xiangfang
Zhao, Lin
Meng, Ye
Sun, Zheng
Zhang, Tao
Feng, Dong - Abstract:
- Abstract: In this paper, a novel model is proposed for predicting thermo-physical properties of superheated steam (SHS) in SHS injection wells and for estimating wellbore heat efficiency. Firstly, a novel mathematical model is proposed for predicting pressure, temperature as well as superheat degree in SHS injection wells. Secondly, the direct and indirect methods are introduced to estimate the wellbore heat efficiency. Thirdly, the model solving process is introduced in detail. After validation of the model, sensitivity analysis is conducted. Results indicate that: (1). The superheat degree at well bottom increases with the increase of injection rate. (2). The superheat degree at well bottom increases with the increase of injection temperature. (3). The superheat degree at well bottom decreases with the increase of injection pressure. In order to obtain a higher superheat degree at well bottom, the injection pressure cannot be too high. This paper presents a basic reference for engineers in optimization of injection parameters as well as estimation of wellbore heat efficiency of SHS injection wells. Highlights: Wellbore modeling becomes a hot spot in the thermal recovery engineering. A novel model is proposed to predict the thermal parameters of SHS in the wellbores. An improved analytical model is introduced for estimating wellbore heat efficiency. Type curves of SHS flow in the wellbores are obtained by finite difference method. The effect of injection parameters onAbstract: In this paper, a novel model is proposed for predicting thermo-physical properties of superheated steam (SHS) in SHS injection wells and for estimating wellbore heat efficiency. Firstly, a novel mathematical model is proposed for predicting pressure, temperature as well as superheat degree in SHS injection wells. Secondly, the direct and indirect methods are introduced to estimate the wellbore heat efficiency. Thirdly, the model solving process is introduced in detail. After validation of the model, sensitivity analysis is conducted. Results indicate that: (1). The superheat degree at well bottom increases with the increase of injection rate. (2). The superheat degree at well bottom increases with the increase of injection temperature. (3). The superheat degree at well bottom decreases with the increase of injection pressure. In order to obtain a higher superheat degree at well bottom, the injection pressure cannot be too high. This paper presents a basic reference for engineers in optimization of injection parameters as well as estimation of wellbore heat efficiency of SHS injection wells. Highlights: Wellbore modeling becomes a hot spot in the thermal recovery engineering. A novel model is proposed to predict the thermal parameters of SHS in the wellbores. An improved analytical model is introduced for estimating wellbore heat efficiency. Type curves of SHS flow in the wellbores are obtained by finite difference method. The effect of injection parameters on superheat degree are studied in detail. … (more)
- Is Part Of:
- Energy. Volume 125(2017)
- Journal:
- Energy
- Issue:
- Volume 125(2017)
- Issue Display:
- Volume 125, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 125
- Issue:
- 2017
- Issue Sort Value:
- 2017-0125-2017-0000
- Page Start:
- 795
- Page End:
- 804
- Publication Date:
- 2017-04-15
- Subjects:
- Superheated steam injection -- Distribution of thermo-physical parameters -- Wellbore heat efficiency -- Heavy oil recovery
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2017.02.114 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 189.xml