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低渗油藏油层产出能力的神经网络预测方法 被引量:3

AN APPROACH FOR EVALUATING RESERVOIR PRODUCTIVITY OF LOW PERMEABILITY OIL POOL
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摘要 采油指数是油层产出能力的直接标志,用试井的方法获取采油指数极为有限。本文以Darcy定律和Dupuit公式为依据,建立测井参数与采油指数间的非线性模型,并用于丘陵油田产能预测。研究表明该方法是一种实用、有效的获取采油指数的间接方法,具有良好的准确性。 Oil productivity index is a direct mark of the production for a producing horizon. There is a limit to obtain this index by well testing. In this paper, based on the Darcy law and the Dupuit formula, the nonlinear model of log parameter and productivity index is built. This method is used in forecasting the productivity of Qiuling oil field. The paper indicates that this way is a practical, effective and accurate indirect method to acquire the productivity index.
出处 《成都理工大学学报(自然科学版)》 CAS CSCD 1998年第S1期94-97,共4页 Journal of Chengdu University of Technology: Science & Technology Edition
关键词 采油指数 试井 非线性模型 丘陵油田 productivity index well testing nonlinear model Qiuling oil field
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