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首页> 外文期刊>The Journal of Canadian Petroleum Technology >An Analytical Model To Predict Cumulative Steam/Oil Ratio (CSOR) in Thermal-Recovery SAGD Process
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An Analytical Model To Predict Cumulative Steam/Oil Ratio (CSOR) in Thermal-Recovery SAGD Process

机译:热采SAGD过程中预测汽/油比(CSOR)的分析模型

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摘要

This paper presents a simple yet sophisticated analytical model to predict cumulative steam/oil ratio (CSOR) using material/energy balance and gravity-drainage theory in which CSOR is a function of average reservoir properties (porosity, permeability, heat capacity, and thermal conductivity) and time-dependent variables (injection temperature, rising chamber height, chamber oil saturation, and produced-fluid temperature) to mimic practical steam-assisted gravity-drainage (SAGD) processes. This model has been applied to predict CSORs of typical wells in the Japan Canada Oil Sands Limited (JACOS) Hangingstone SAGD project. History-match results show the reliability and accuracy of the model at different geological conditions. The analytical model has proved to be satisfactory in predicting CSOR by reasonably adjusting a limited number of reservoir parameters, such as formation permeability, effective net pay, and operational parameters.
机译:本文提出了一个简单而复杂的分析模型,该模型使用材料/能量平衡和重力排水理论来预测累积蒸汽/油比(CSOR),其中CSOR是平均储层性质(孔隙度,渗透率,热容和导热系数)的函数)和随时间变化的变量(喷射温度,腔室高度上升,腔室油饱和度和产生的流体温度)来模拟实际的蒸汽辅助重力排放(SAGD)过程。该模型已用于预测日本加拿大油砂有限公司(JACOS)Hangingstone SAGD项目中典型井的CSOR。历史匹配结果显示了该模型在不同地质条件下的可靠性和准确性。通过合理地调整有限数量的储层参数(例如地层渗透率,有效净产值和运行参数),该分析模型已证明在预测CSOR方面令人满意。

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