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Gas liquid cylindrical cyclone flow regime identification using machine learning combined with experimental mechanism explanation

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Petroleum Science 2023年第1期20卷 540-558页

作者： Zhao-Ming Yang Yu-Xuan He Qi Xiang Enrico Zio Li-Min He Xiao-Ming Luo Huai Su Ji Wang Jin-Jun Zhang National Engineering Laboratory for Pipeline Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology China University of Petroleum-Beijing102249BeijingChina MINES ParisTech PSL Research UniversityCRCSophia AntipolisFrance Dipartimento di Energia Politecnico di MilanoVia La Masa 3420156MilanoItaly College of Pipeline and Civil Engineering China University of Petroleum-East China266580QingdaoChina

The flow regimes of GLCC with horizon inlet and a vertical pipe are investigated in experiments,and the velocities and pressure drops data labeled by the corresponding flow regimes are *** with the flow regimes data of other GLCC positions from other literatures in existence,the gas and liquid superficial velocities and pressure drops are used as the input of the machine learning algorithms respectively which are applied to identify the flow *** choosing of input data types takes the availability of data for practical industry fields into consideration,and the twelve machine learning algorithms are chosen from the classical and popular algorithms in the area of classification,including the typical ensemble models,SVM,KNN,Bayesian Model and *** results of flow regimes identification show that gas and liquid superficial velocities are the ideal type of input data for the flow regimes identification by machine *** of the ensemble models can identify the flow regimes of GLCC by gas and liquid velocities with the accuracy of 0.99 and *** the pressure drops as the input of each algorithm,it is not the suitable as gas and liquid velocities,and only XGBoost and Bagging Tree can identify the GLCC flow regimes *** success and confusion of each algorithm are analyzed and explained based on the experimental phenomena of flow regimes evolution processes,the flow regimes map,and the principles of *** applicability and feasibility of each algorithm according to different types of data for GLCC flow regimes identification are proposed.

关键词： Gas liquid cylindrical cyclone Machine learning Flow regimes identification mechanism explanation Algorithms

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Characteristics and mechanisms of Co-seismic Groundwater Responses in Tayuan Well

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Earthquake Research in China 2009年第2期23卷 180-191页

作者： Sun Xiaolong Liu Yaowei Institute of Crustal Dynamics CEA Beijing 100085 China

Co-seismic responses of the groundwater level and temperature in the Tayuan well of 68 earthquakes （Ms ≥ 7.0） from January 2004 to September 2007 were analyzed. Results show that the Tayuan well has a strong ability to record large earthquakes worldwide, and the coseismic response shows a pattern of water level oscillation →temperature decrease→ oscillation stop → temperature resumption. Further analyses indicate that the amplitude of the water level and temperature change is not ouly concerned with the epicenter distance and magnitude, but is also related to the temporal state of aquifer while the seismic wave arrives. mechanisms of water level oscillation, temperature decrease, water level oscillation stop and temperature resumption are discussed, with the results from previous research on the co-seismic response mechanisms analyzed. These include gas escape, heat diffusion and cold water seepage. Results show that a single mechanism could not explain the co-seismic response of the Tayuan well water level to multiple earthquakes; the results were garnered from a variety of jointly acting mechanisms.

关键词： Earthquake Co-seismic responses Water level Water temperature mechanism explanation Tayuan well

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谈谈解释鸿沟

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科学技术哲学 2023年第4期

作者：陈嘉映

本文尝试表明神经活动和意识活动之间的解释鸿沟并不是主观/客观之间的鸿沟，也不是相关性/因果性之间的鸿沟。本文先讨论了原因和解释之间的关系：单纯确定致动因不等于提供解释，解释依赖于致动因和结果之间的经验网络或科学理论。本... 详细信息

本文尝试表明神经活动和意识活动之间的解释鸿沟并不是主观/客观之间的鸿沟，也不是相关性/因果性之间的鸿沟。本文先讨论了原因和解释之间的关系：单纯确定致动因不等于提供解释，解释依赖于致动因和结果之间的经验网络或科学理论。本文进一步区分了经验解释和机制解释并指出依赖于科学理论的意识产生机制对整体意识活动的解释力十分有限。这是之所以有一条“解释鸿沟”的主要原因。

关键词：解释鸿沟点线因果模式机制解释叙事解释 Explanatory gap Dot-line causal model mechanism explanation Narrative explanation

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