Performance Prediction of Solvent Enhanced Steam Flooding for Recovery of Thin Heavy Oil Reservoirs
Прогнозирование эффективности инъектирования пара с растворителем для разработки тонких пластов тяжёлой нефти
2017-02-06
SCID: 54.1/nk3n2s7k
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semi-analytical modelsolvent diffusionsolvent enhanced steam floodingsteam condensate blockingthin heavy oil reservoirs
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Abstract (AI)
Abstract More than half of heavy oil reservoirs in Western Canada are less than 5m thick and SAGD is generally not thought to be economically viable for such kind of reservoirs due to lack of Potential Energy of Gravity and significant heat losses to the overburden. Solvent enhanced steam flooding (SESF), a kind of enhanced steam flooding by co-injecting solvent with steam, has shown to be promising in enhancing oil rates in thin reservoirs. In this paper, a semi-analytical model is established for predicting production performance of SESF. The model is mainly built based on Energy Conservation and Fick's Law to predict the steam front position as well as the solvent concentration profile in the reservoir. Besides, the blocking effects of steam condensate on solvent diffusion is modeled by introducing the oil-water two phase flow theory. Then, the model is divided into three parts corresponding to the three production stages of SESF, and they are semi-analytically solved successively. The proposed model is validated by comparing calculated oil production rate with the results of a numerical simulation method. The results indicate that the enhancement of oil production rate mainly happened in the early stage of the process which is achieved by the combining effects of heat and convection-enhanced mixing of solvent and heavy oil. On the basis of a sensitivity analysis for performance of SESF, it is realized that the operating thickness and solubility of a solvent are proportional to steam oil ratio reduction of SESF compared to conventional steam flooding. Besides, a relatively lower injection rate and a longer well spacing may result in higher thermal efficiency increment due to longer contacting time of solvent with crude oil. Piloting SESF in a field has many challenges, especially when considering its main economic factors: production increase and solvent cost. Therefore, it is anticipated that considering the dynamic mass transfer and blocking effect of accumulated condensate on solvent diffusion in SESF process, which are important mechanisms of SESF with inadequate understanding in literatures, the newly developed model will help to better predict and design the future SESF heavy oil recovery projects in thin pay zones.
Key Findings
1
A semi-analytical model for predicting SESF performance in thin heavy oil reservoirs was developed based on Energy Conservation and Fick's Law.
2
Lower injection rates and longer well spacing can increase thermal efficiency by prolonging solvent–crude contact time.
3
Modeling dynamic mass transfer and condensate blocking addresses understudied SESF mechanisms and aids design and prediction for thin pay zone projects.
4
Oil production enhancement from SESF occurs mainly in the early stage due to combined heat and convection-enhanced solvent–oil mixing.
5
Operating thickness and solvent solubility are proportional to SESF's reduction in steam-oil ratio compared to conventional steam flooding.
6
The model incorporates blocking effects of steam condensate on solvent diffusion using oil-water two-phase flow theory.
7
The model is decomposed into three parts corresponding to SESF's three production stages and solved semi-analytically in sequence.
8
Validation against numerical simulation shows the model predicts oil production rate comparably to numerical methods.
Research Object
Solvent enhanced steam flooding (SESF) process for recovery of thin heavy oil reservoirs
Research Subject
Prediction and analysis of SESF production performance including steam front propagation, solvent concentration/profile and diffusion (with condensate blocking), stage-wise production behavior, oil production rate enhancement, and sensitivity to operating thickness, solvent solubility, injection rate and well spacing
Publication Details
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2017-02-06
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References available in scid.ai6
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