Research onconvolutional neural network for reservoir parameter prediction
As the branch of artificial intelligence,artificial neural network solved many difficult practical problems in pattern recognition and classification prediction field successfully.However,they cannot learn the feature from networks.In recent years,deep learning becomes more and more advanced,but the...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016240/ |
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| _version_ | 1841539486372069376 |
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| author | You-xiang DUAN Gen-tian LI Qi-feng SUN |
| author_facet | You-xiang DUAN Gen-tian LI Qi-feng SUN |
| author_sort | You-xiang DUAN |
| collection | DOAJ |
| description | As the branch of artificial intelligence,artificial neural network solved many difficult practical problems in pattern recognition and classification prediction field successfully.However,they cannot learn the feature from networks.In recent years,deep learning becomes more and more advanced,but the research on the field of geological reservoir pa-rameter prediction is still rare.A method to predict reservoir parameters by convolutional neural network was presented,which can not only predict reservoir parameters accurately,but also get features of the geological reservoir.The study es-tablished the convolutional neural network model.Results show that the convolutional neural network can be used for reservoir parameter prediction,and get high prediction precision.Moreover,convolutional features from convolutional neural network provided important support for geological modeling and logging interpretation. |
| format | Article |
| id | doaj-art-28d43a52fd514fc8b39b24adf8564574 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-28d43a52fd514fc8b39b24adf85645742025-01-14T07:11:04ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-10-01371959705657Research onconvolutional neural network for reservoir parameter predictionYou-xiang DUANGen-tian LIQi-feng SUNAs the branch of artificial intelligence,artificial neural network solved many difficult practical problems in pattern recognition and classification prediction field successfully.However,they cannot learn the feature from networks.In recent years,deep learning becomes more and more advanced,but the research on the field of geological reservoir pa-rameter prediction is still rare.A method to predict reservoir parameters by convolutional neural network was presented,which can not only predict reservoir parameters accurately,but also get features of the geological reservoir.The study es-tablished the convolutional neural network model.Results show that the convolutional neural network can be used for reservoir parameter prediction,and get high prediction precision.Moreover,convolutional features from convolutional neural network provided important support for geological modeling and logging interpretation.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016240/artificial neural networkdeep learningconvolutional neural networkreservoir predictionreservoir feature |
| spellingShingle | You-xiang DUAN Gen-tian LI Qi-feng SUN Research onconvolutional neural network for reservoir parameter prediction Tongxin xuebao artificial neural network deep learning convolutional neural network reservoir prediction reservoir feature |
| title | Research onconvolutional neural network for reservoir parameter prediction |
| title_full | Research onconvolutional neural network for reservoir parameter prediction |
| title_fullStr | Research onconvolutional neural network for reservoir parameter prediction |
| title_full_unstemmed | Research onconvolutional neural network for reservoir parameter prediction |
| title_short | Research onconvolutional neural network for reservoir parameter prediction |
| title_sort | research onconvolutional neural network for reservoir parameter prediction |
| topic | artificial neural network deep learning convolutional neural network reservoir prediction reservoir feature |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016240/ |
| work_keys_str_mv | AT youxiangduan researchonconvolutionalneuralnetworkforreservoirparameterprediction AT gentianli researchonconvolutionalneuralnetworkforreservoirparameterprediction AT qifengsun researchonconvolutionalneuralnetworkforreservoirparameterprediction |