CN109472285B - 井漏识别方法、装置及计算机设备 - Google Patents
井漏识别方法、装置及计算机设备 Download PDFInfo
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- CN109472285B CN109472285B CN201811147260.6A CN201811147260A CN109472285B CN 109472285 B CN109472285 B CN 109472285B CN 201811147260 A CN201811147260 A CN 201811147260A CN 109472285 B CN109472285 B CN 109472285B
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CN110766192B (zh) * | 2019-09-10 | 2022-09-09 | 中国石油大学(北京) | 基于深度学习的钻井井漏预测系统及方法 |
CN110671095B (zh) * | 2019-09-23 | 2021-03-26 | 中国地质大学(武汉) | 一种地质地层压力智能随钻软测量方法 |
CN110866043A (zh) * | 2019-10-12 | 2020-03-06 | 上海上湖信息技术有限公司 | 数据预处理方法及装置、存储介质、终端 |
CN113051305A (zh) * | 2019-12-27 | 2021-06-29 | 中国石油化工股份有限公司 | 一种堵漏材料粒径优选方法及电子设备 |
CN111414955B (zh) * | 2020-03-17 | 2023-08-25 | 昆仑数智科技有限责任公司 | 石油钻井井漏溢流智能检测方法、装置以及电子设备 |
CN113496302B (zh) * | 2020-04-02 | 2024-05-14 | 中国石油化工股份有限公司 | 一种对钻井风险进行智能识别预警的方法与系统 |
CN112215509A (zh) * | 2020-10-21 | 2021-01-12 | 拉扎斯网络科技(上海)有限公司 | 资源参数的确定方法、装置及设备 |
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CN108388921A (zh) * | 2018-03-05 | 2018-08-10 | 中国石油集团工程技术研究院有限公司 | 一种基于随机森林的溢流漏失实时识别方法 |
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CN103967478B (zh) * | 2014-05-21 | 2017-10-27 | 北京航空航天大学 | 一种基于电导探针的垂直井流型辨识方法 |
US9579700B2 (en) * | 2014-05-30 | 2017-02-28 | Iteris, Inc. | Measurement and modeling of salinity contamination of soil and soil-water systems from oil and gas production activities |
CN104462846B (zh) * | 2014-12-22 | 2017-11-10 | 山东鲁能软件技术有限公司 | 一种基于支持向量机的设备故障智能诊断方法 |
CN106677763B (zh) * | 2016-12-29 | 2020-02-07 | 沈阳工业大学 | 一种基于动态集成建模的油井动液面预测方法 |
CN108304941A (zh) * | 2017-12-18 | 2018-07-20 | 中国软件与技术服务股份有限公司 | 一种基于机器学习的故障预测方法 |
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CN108388921A (zh) * | 2018-03-05 | 2018-08-10 | 中国石油集团工程技术研究院有限公司 | 一种基于随机森林的溢流漏失实时识别方法 |
Non-Patent Citations (2)
Title |
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Leakage paths identification in NVM using biased data retention;J.Postel-Pellerin 等;《Microelectronics Reliability》;20101130;第1474-1478页 * |
基于随机森林的管网漏失诊断方法;王学渊 等;《计算机应用》;20180615;第20-23页 * |
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