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Discovery of tuff in Wujiaping Formation of Upper Permian in the northern sichuan Basin:Implications for the termination of Emeishan Large Igneous province

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China Geology 2024年第4期7卷 801-802,811页

作者： Yu Yu Xiao-liang Deng State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development Beijing 100083China keyuan engineering technical test center of sichuan province Chengdu 610091China

*** The Emeishan basalts is located in southwest China and northern Vietnam,covering an area of 2.5×10^(5) km^(2)(Zhong YT et al.,2014),which is the first widely recognized large igneous province(LIP)in China(Zhang ZS,2009).The Emeishan LIP has attracted a numbers of scholars for the reason that the LIP may play a significant role in the evolution of environment and *** JH et al.,(2018)pointed out that the weathering of the Emeishan basalts consumed carbon dioxide and caused a decrease in the climate of the early ***,the duration and termination of the Emeishan basalts eruption remain in *** paper reports a new discovery of tuffaceous in the middle part of the Upper Permian Wujiaping Formation from the northern margin of the sichuan Basin,applying of LA-ICP-MS to obtain zircon U-Pb ages of tuffaceous and to constrain the lasted eruption timing of Emeishan LIP.

关键词： termination Upper eruption

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Insights into moisture content in coals of different ranks by low field nuclear resonance

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Energy Geoscience 2020年第3期1卷 93-99页

作者： Yanhui Yang Xiawei Li Yongping Zhang Yonggui Mei Ruixia Ding The CBM Exploration and Development Pilot test Base of CNPC RenqiuHebei062550China Exploration and Development Research Institute of Huabei Oilfield Company RenqiuHebei062550China School of Energy Resources China University of GeosciencesBeijing100083China sichuan province Key Laboratory of Shale Gas Evaluation and Exploitation ChengduSichuan610091China sichuan keyuan testing center of engineering Technology ChengduSichuan610091China Coalbed Methane Division of Huabei Oilfield Company RenqiuHebei062550China

The moisture occurrence in coal reservoirs has important significance in the evaluation of gas-bearing properties and production of coalbed methane(CBM).In order to investigate the occurrence mechanism of moisture content of coals,a series of experiments including mercury intrusion porosimetry(MIP),low temperature nitrogen gas absorption/desorption(N_(2)GA)and nuclear magnetic resonance(NMR)are conducted in this study to characterize and quantify pore structure *** nature of occurrence of moisture content in coal reservoir pores is then divided into four categories by NMR saturation and centrifugation *** bound water content in the adsorption pore accounts for the highest *** on the relevance of bound water content and its influencing factors,moisture occurrence in coal reservoirs of different ranks is revealed by SPSS statistical *** moisture content of low-rank coal is mainly controlled by elemental oxygen and specific surface area,whereas for medium-and high-rank coals,this is controlled mainly by *** study finds application in CBM evaluation and development.

关键词： Pore structure Moisture content Nuclear magnetic resonance Occurrence mechanism

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Quantitative algorithm for airborne gamma spectrum of large sample based on improved shuffled frog leaping-particle swarm optimization convolutional neural network

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Nuclear Science and Techniques 2023年第7期34卷 242-252页

作者： Fei Li Xiao-Fei Huang Yue-Lu Chen Bing-Hai Li Tang Wang Feng Cheng Guo-Qiang Zeng Mu-Hao Zhang College of Nuclear Technology and Automation engineering Chengdu University of TechnologyChengdu 610000China Applied Nuclear Technology in Geosciences Key Laboratory of sichuan province Chengdu 610000China Airborne Survey and Remote Sensing center of Nuclear Industry Shijiazhuang 050000China Hebei Key Laboratory of Airborne Detection and Remote Sensing Technology Shijiazhuang 050000China

In airborne gamma ray spectrum processing,different analysis methods,technical requirements,analysis models,and calculation methods need to be *** meet the engineering practice requirements of airborne gamma-ray measurements and improve computational efficiency,an improved shuffled frog leaping algorithm-particle swarm optimization convolutional neural network(SFLA-PSO CNN)for large-sample quantitative analysis of airborne gamma-ray spectra is proposed *** method was used to train the weight of the neural network,optimize the structure of the network,delete redundant connections,and enable the neural network to acquire the capability of quantitative spectrum *** full-spectrum data processing,this method can perform the functions of energy spectrum peak searching and peak area *** network training,the mean SNR and RMSE of the spectral lines were 31.27 and 2.75,respectively,satisfying the demand for noise *** test the processing ability of the algorithm in large samples of airborne gamma spectra,this study considered the measured data from the Saihangaobi survey area as an example to conduct data spectral *** results show that calculation of the single-peak area takes only 0.13~0.15 ms,and the average relative errors of the peak area in the U,Th,and K spectra are 3.11,9.50,and 6.18%,indicating the high processing efficiency and accuracy of this *** performance of the model can be further improved by optimizing related parameters,but it can already meet the requirements of practical engineering *** study provides a new idea for the full-spectrum processing of airborne gamma rays.

关键词： Large sample Airborne gamma spectrum(AGS) Shuffled frog leaping algorithm(SFLA) Particle swarm optimization(PSO) Convolutional neural network(CNN)

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