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三种油田产量预测联解模型的对比
引用本文:马旭,陈小凡,周鹏,谭亦然,张弛.三种油田产量预测联解模型的对比[J].科学技术与工程,2014,14(5):219-222.
作者姓名:马旭  陈小凡  周鹏  谭亦然  张弛
作者单位:西南石油大学油气藏地质及开发工程国家重点实验室,西南石油大学油气藏地质及开发工程国家重点实验室,上海石油天然气有限公司,西南石油大学油气藏地质及开发工程国家重点实验室,西南石油大学油气藏地质及开发工程国家重点实验室
基金项目:国家科技重大专项“剩余油分布综合预测与精细注采结构调整技术”(2011ZX05010-002)
摘    要:数学模型和甲型水驱特征曲线是油藏工程中两种重要的预测方法。为有效克服两种方法的局限性,近年来不少学者提出了数学模型与甲型水驱特征曲线联解模型。在前人研究的基础上,选取较具代表性的三种联解模型,从模型的特点及适用范围进行分析和对比,实例验证表明Hubbert模型与甲型水驱特征曲线联解法对油田整个生产阶段预测效果最理想,Rayleigh模型与甲型水驱特征曲线联解法适用于油田生产递减阶段,而广义翁氏模型与甲型水驱特征曲线联解法预测含水率偏低。

关 键 词:油田  水驱特征曲线  预测  联解模型
收稿时间:9/3/2013 12:00:00 AM
修稿时间:2013/9/26 0:00:00

Comparison of three simultaneous solution models for predicting oilfield production
MA Xu,CHEN Xiao-fan,ZHOU Peng,TAN Yi-ran and ZHANG Chi.Comparison of three simultaneous solution models for predicting oilfield production[J].Science Technology and Engineering,2014,14(5):219-222.
Authors:MA Xu  CHEN Xiao-fan  ZHOU Peng  TAN Yi-ran and ZHANG Chi
Institution:State Key Laboratory of Oil Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu,Shanghai petroleum co,LTD,State Key Laboratory of Oil Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu,State Key Laboratory of Oil Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu
Abstract:The mathematical model and waterflooding curve method are two important prediction methods in reservoir engineering. To overcome the limitation of each method effectively, in recent years, based on combined solution of the generalized mathematical model and waterflooding curves, new methods are provided. This article selects three representative combined models and their characteristics and applied ranges are analyzed,indicating that the combined method of Hubbert model and water drive curve of A type can be used to predict a whole life of oilfield best,the combined method of Rayleigh model and water drive curve of A type is adequate for the decline stage while the combined method of Weng model and water drive curve of A type predicts water cut lower.
Keywords:oilfield  water drive curve  prediction  simultaneous solution model
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