| 人工神经网络在石油水压裂过程仿真中的应用 |
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| 引用本文： | 马志国,刘翠玲.人工神经网络在石油水压裂过程仿真中的应用[J].北京工商大学学报(自然科学版),2007,25(4):30-33. |
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| 作者姓名： | 马志国 刘翠玲 |
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| 作者单位： | 北京工商大学,信息工程学院,北京,100037 |
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| 摘 要： | 石油水压裂是在石油开采过程中增加产能的重要措施,但由于种种条件的限制,传统的建模方法无法建立起精确的仿真模型.研究分析了石油水力压裂工艺流程各个部分的不同特点,分别采用不同种类的神经网络建立仿真模型来替代原有的模型,并以RBF网络建模求取综合滤失系数来验证方案的可行性.
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| 关 键 词： | 石油水力压裂 神经网络 建模 仿真 |
| 文章编号： | 1671-1513（2007）04-0030-04 |
| 收稿时间： | 2007-01-20 |
USING ARTIFICIAL NEURAL NETWORK FOR SIMULATION OF HYDRAULIC FRACFURING TREATMENT |
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| MA Zhi-guo,LIU Cui-ling.USING ARTIFICIAL NEURAL NETWORK FOR SIMULATION OF HYDRAULIC FRACFURING TREATMENT[J].Journal of Beijing Technology and Business University:Natural Science Edition,2007,25(4):30-33. |
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| Authors: | MA Zhi-guo LIU Cui-ling |
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| Institution: | College of Information Engineering, Beijing Technology and Business University, Beijing 100037, China |
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| Abstract: | Hydraulic fracturing treatment play an important role in improving the productions of petroleum,but traditional modeling methods have many limitations to build a precise simulization model of hydraulic fracturing treat.The author analyses the characteristics of various parts in the hydraulic fracturing process,building simulation models by different types of neural network to replace the old models,and try to certificated the feasibility of this program by building the model through RBF neural network to get filtration coefficient. |
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| Keywords: | hydraulic fracfuring treatment artificial neural network model building simulization |
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