| 基于非开挖泥浆性能检测系统与弱监督学习的地层岩性识别 |
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| 引用本文： | 徐晗,程丹仪,徐永华,姚孔轩,邱峰,乌效鸣,林朋皓.基于非开挖泥浆性能检测系统与弱监督学习的地层岩性识别[J].地质科技通报,2021,40(6):293-301. |
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| 作者姓名： | 徐晗 程丹仪 徐永华 姚孔轩 邱峰 乌效鸣 林朋皓 |
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| 基金项目： | 国家自然科学基金项目41731284 |
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| 摘 要： | 针对非开挖工程工勘资料缺乏，掘进地层岩性难以判别的问题，提出一种基于非开挖泥浆性能检测与弱监督机器学习结合的典型非开挖地层岩性识别方法。结合自主设计研发的非开挖泥浆性能检测系统工程现场应用，获取非开挖掘进导向段泥浆流变性能参数和密度等敏感参数的训练样本。利用部分有标签数据与K近邻（K Nearest Neighbors，KNN）算法对所有泥浆参数训练样本进行特征标签，采用核函数映射到高维空间支持向量机（Support Vector Machines，SVM）进行分类处理，建立了以上海地区典型非开挖地层分类为目标的分类模型。将该地层识别模型应用于上海地区非开挖工程，验证其有效性。结果表明，该方法能在非开挖实时钻进条件下快速识别钻进地层，识别正确率高达96%。研究成果通过采集导向段泥浆性能参数，识别非开挖掘进段地层岩性，为非开挖扩孔阶段钻具选型、泥浆设计等提供了重要地质信息保障。
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| 关 键 词： | 非开挖 泥浆性能检测系统 支持向量机 地层岩性识别 |
| 收稿时间： | 2021-02-05 |
Stratigraphic lithology identification based on no-dig mud property detection system and weakly-supervised learning |
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| Abstract: | In view of the lack of geological investigation information data in no-dig and the difficulty in distinguishing the lithology of tunneling stratum, a typical no-dig formation lithology identification method based on support vector machines(SVM)algorithm of no-dig mud property data is proposed.Combined with the field application of the self-designed no-dig mud property detection system, the training samples of rheological parameters, density and other sensitive mud parameters were obtained.The obtained mud parameters training samples were learned by SVM algorithm, and the mud parameters sample space was constructed.The kernel function was used to map to the high-dimensional space for classification, a classification model is established for the classification of typical no-dig strata in Shanghai.The model is applied to the no-dig engineering in Shanghai to verify its effectiveness.The results show that the method can quickly identify the drilling stratigraphic lithology under the condition of no-dig real-time drilling, and the recognition accuracy is as high as 96%.The research provide important geological information for drilling tool selection and mud design in no-dig reaming stage by collecting the mud property parameters of the guide section and identifying the formation lithology of the no-dig advance section. |
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