{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:58Z","timestamp":1750220578286,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T00:00:00Z","timestamp":1600387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,18]]},"DOI":"10.1145\/3422713.3422728","type":"proceedings-article","created":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T04:12:48Z","timestamp":1603512768000},"page":"167-171","source":"Crossref","is-referenced-by-count":5,"title":["Lithology Identification Based on Multi-scale Residual One-dimensional Convolutional Neural Network"],"prefix":"10.1145","author":[{"given":"Lijian","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, China"}]},{"given":"Shaoxing","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, China"}]},{"given":"Yuwei","family":"Liu","sequence":"additional","affiliation":[{"name":"Sinopec Petroleum Exploration and Production Research Institute"}]},{"given":"Xiwu","family":"Liu","sequence":"additional","affiliation":[{"name":"Sinopec Petroleum Exploration and Production Research Institute"}]}],"member":"320","published-online":{"date-parts":[[2020,10,23]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"2","article-title":"Well logging response to the volcaniclastic rocks of Hailar basin and application","volume":"54","author":"Honggen T.","year":"2011","journal-title":"Chinese Journal of Geophysics."},{"key":"e_1_3_2_1_2_1","first-page":"4","article-title":"Lithologic discrimination method based on Markov random-field","volume":"56","author":"YuKun T.","year":"2013","journal-title":"Chinese Journal of Geophysics."},{"key":"e_1_3_2_1_3_1","first-page":"2","article-title":"Determination of lithology through Probability statistics","volume":"11","author":"Ziyun L.","year":"1989","journal-title":"Journal of Jianghan Petroleum Institute."},{"key":"e_1_3_2_1_4_1","first-page":"5","article-title":"The Application of Cluster and Discriminant Analyses in Logging Lithology Recognition","volume":"27","author":"Zhifeng X.","year":"2008","journal-title":"Journal of Shandong University of Science and Technology."},{"key":"e_1_3_2_1_5_1","first-page":"1","article-title":"The Application of BP Neural Network in Reservoir Predition","volume":"17","author":"Siyuan C.","year":"2002","journal-title":"Progress in Geophysics."},{"key":"e_1_3_2_1_6_1","first-page":"Z1","article-title":"Research on convolutional neural network for resvoir parameter prediction","volume":"37","author":"Youxiang D.","year":"2016","journal-title":"Journal on Communications."},{"key":"e_1_3_2_1_7_1","first-page":"6","article-title":"Intelligent Logging Lithological Interpretation With Convolution Neural Networks","volume":"59","author":"Liping Z.","year":"2018","journal-title":"Petrophysics."},{"key":"e_1_3_2_1_8_1","unstructured":"Gang C. Mian C. and Guobin H. 2020. A new method of lithology classification based on convolutional neural network algorithm by utilizing drilling string vibration data. Energies. 13 4 (2020).  Gang C. Mian C. and Guobin H. 2020. A new method of lithology classification based on convolutional neural network algorithm by utilizing drilling string vibration data. Energies. 13 4 (2020)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Yadigar I. and Lyudmila S. 2019. Lithological facies classification using deep convolutional neural network. Journal of Petroleum Science and Engineering. 174 (Mar. 2019) 216--228.  Yadigar I. and Lyudmila S. 2019. Lithological facies classification using deep convolutional neural network. Journal of Petroleum Science and Engineering. 174 (Mar. 2019) 216--228.","DOI":"10.1016\/j.petrol.2018.11.023"},{"volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","year":"2015","author":"Christian S.","key":"e_1_3_2_1_10_1"},{"volume-title":"Deep Residual Learning for Image Recognition. In 29th IEEE Conference on Computer Vision and Pattern Recognition","year":"2016","author":"Kaiming H.","key":"e_1_3_2_1_11_1"},{"volume-title":"32nd International Conference on Machine Learning","year":"2015","author":"Sergey I.","key":"e_1_3_2_1_12_1"},{"key":"e_1_3_2_1_13_1","article-title":"Dropout: A simple way to prevent neural networks from overfitting","author":"Nitish S.","year":"2014","journal-title":"Journal of Machine Learning Research. 15"},{"volume-title":"13th International Conference on Artificial Intelligence and Statistics","year":"2010","author":"Xavier G.","key":"e_1_3_2_1_14_1"},{"volume-title":"3rd International Conference on Learning Representations","year":"2015","author":"Diederik P, K.","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Matthew G. 1972. Kn-Nearest Neighbor Classfication. In IEEE Transactions on Information Theory. IT-18 5 (Sep. 1972) 627--630.  Matthew G. 1972. Kn-Nearest Neighbor Classfication. In IEEE Transactions on Information Theory. IT-18 5 (Sep. 1972) 627--630.","DOI":"10.1109\/TIT.1972.1054888"},{"volume-title":"16th IEEE International Conference on Data Mining (Barcelona","year":"2016","author":"Yanru Q.","key":"e_1_3_2_1_17_1"}],"event":{"name":"ICBDT 2020: 2020 3rd International Conference on Big Data Technologies","acronym":"ICBDT 2020","location":"Qingdao China"},"container-title":["Proceedings of the 2020 3rd International Conference on Big Data Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3422713.3422728","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3422713.3422728","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:29Z","timestamp":1750195889000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3422713.3422728"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,18]]},"references-count":17,"alternative-id":["10.1145\/3422713.3422728","10.1145\/3422713"],"URL":"https:\/\/doi.org\/10.1145\/3422713.3422728","relation":{},"subject":[],"published":{"date-parts":[[2020,9,18]]}}}