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空气泡沫驱油藏含水及产气特征规律研究

The Characteristics Analyze of Water and Gas Production of Air-Foam Flooding Reservoir
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摘要 为了对空气泡沫驱油藏的生产规律进行分析及预测,提出先调整水驱特征曲线,再进行相关指标预测的研究思路。首先采用数值模拟方法分析并预测了空气泡沫驱油藏在产量稳定阶段的生产动态,再依据四种含水特征曲线,对直接空气泡沫驱油藏和水驱后再转向空气泡沫驱油藏的水驱特征曲线进行了分析,并将水驱曲线的预测结果和数模结果进行了对比。结果显示,直接空气泡沫驱油藏可以利用丁型特征曲线分析;水驱后再转向空气泡沫驱油藏可以利用丙型和丁型曲线对其生产动态进行预测。利用H.R.Warner提出的方法计算出产气特征曲线,拟合误差小,可在达到气体突破稳定之后,利用气油比与累计产油量的特征关系预测三年之内的生产气油比,进而计算出产气量。 This research adjusted the water flooding characteristic curves in the application of the water,oil and liquid production characterization of air-foam flooding reservoir.The numerical simulation method is used to analyze and predict the production performance of air foam flooding reservoir in the stable production stage.Four types of water flooding curves are used in the application of both direct air-foam flooding reservoir and the air-foam flooding reservoir after water flooding.The results suggest that the type-D water flooding characteristic curve is better than other curves in the application of the direct air-foam flooding reservoir.The type-C and type-D water flooding characteristic curves are better performed in the application of the air-foam flooding reservoir after water flooding.The characteristic curve of gas production is calculated based on the method proposed by H.R Warner,and can be used to predict the gas-oil ratio within three years after the gas breakthrough is stable.Therefore,the gas production volume can be calculated.
作者 杨永超 吕昕倩 尚庆华 郭茂雷 白艳伟 Yang Yongchao;LüXinqian;Shang Qinghua;Guo Maolei;Bai Yanwei(Exploration&Development Technology Research Center,Yanchang Petroleum Group Co.,Ltd.,Yanan Shaanxi 716002,China;College of Petroleum and Natural Gas Engineering,Southwest Petroleum University,Chengdu Sichuan 610500,China)
出处 《石油化工高等学校学报》 CAS 2020年第2期34-41,共8页 Journal of Petrochemical Universities
基金 国家重点研发计划项目(SQ2018YFB060239)
关键词 空气泡沫驱 含水特征 产气特征 数值模拟 水驱曲线 产量预测 Air-foam flooding Characteristics of water cut Characteristics of gas production Numerical reservoir simulation Water flooding characteristic curve Production forecast
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