| 低渗油藏油层产出能力的神经网络预测方法 |
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| 引用本文： | 谢丛姣,关振良,马正.低渗油藏油层产出能力的神经网络预测方法[J].成都理工大学学报(自然科学版),1998(Z1). |
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| 作者姓名： | 谢丛姣 关振良 马正 |
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| 作者单位： | 中国地质大学石油系 |
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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。
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| 关 键 词： | 采油指数，试井，非线性模型，丘陵油田 |
AN APPROACH FOR EVALUATING RESERVOIR PRODUCTIVITY OF LOW PERMEABILITY OIL POOL |
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| Xie Congjiao,Guan Zhenliang,Ma Zheng.AN APPROACH FOR EVALUATING RESERVOIR PRODUCTIVITY OF LOW PERMEABILITY OIL POOL[J].Journal of Chengdu University of Technology: Sci & Technol Ed,1998(Z1). |
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| Authors: | Xie Congjiao Guan Zhenliang Ma Zheng |
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| Abstract: | 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. |
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| Keywords: | productivity index well testing nonlinear model Qiuling oil field |
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