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Acta Oceanologica Sinica 2024年第5期43卷 110-120页

作者： Ming Li Yuhang Liu Yiyuan Sun Kefeng Liu College of Advanced Interdisciplinary Studies National University of Defense TechnologyNanjing 211101China Jiangsu Ocean University Lianyungang 222061China College of Horticulture Forestry Sciences Huazhong Agricultural UniversityWuhan 430070China

The mesoscale eddy(ME)has a significant influence on the convergence effect in deep-sea acoustic *** paper use statistical approaches to express quantitative relationships between the ME conditions and convergence zone(CZ)*** on the Gaussian vortex model,we construct various sound propagation scenarios under different eddy conditions,and carry out sound propagation experiments to obtain simulation *** a large number of samples,we first adopt the unified regression to set up analytic relationships between eddy conditions and CZ *** sensitivity of eddy indicators to the CZ is quantitatively ***,we adopt the machine learning(ML)algorithms to establish prediction models of CZ parameters by exploring the nonlinear relationships between multiple ME indicators and CZ *** the research,we can express the influence of ME on the CZ quantitatively,and achieve the rapid prediction of CZ parameters in ocean *** prediction accuracy(R)of the CZ distance(mean R:0.9815)is obviously better than that of the CZ width(mean R:0.8728).Among the three ML algorithms,Gradient Boosting Decision Tree has the best prediction ability(root mean square error(RMSE):0.136),followed by Random Forest(RMSE:0.441)and Extreme Learning Machine(RMSE:0.518).

关键词： convergence zone mesoscale eddy statistic analysis quantitative prediction machine learning

quantitative prediction and ranking of the shock sensitivity ofexplosives via reactive molecular dynamics simulations

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Defence Technology（防务技术） 2022年第5期18卷 843-854页

作者： Kun Yang Lang Chen Dan-yang Liu De-shen Geng Jian-ying Lu Jun-ying Wu State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing100081China

A deep understanding of explosive sensitivities and their factors is important for safe and reliable ***,quantitative prediction of the sensitivities is ***,reactive molecular dynamics simulation models for high-speed piston impacts on explosive supercells were *** were also performed to investigate shock-induced reactions of various high-energy *** fraction of reacted explosive molecules in an initial supercell changed linearly with the propagation distance of the shock-wave *** corresponding slope could be used as a reaction rate for a specific shock-loading *** rates that varied with the shock-loading pressure exhibited two-stage linearities with different *** two inflection points corresponded to the initial and accelerated reactions,which respectively correlated to the thresholds of shock-induced ignition and ***,the ignition and detonation critical pressures could be *** sensitivity could then be a quantitative prediction of the critical *** accuracies of the quantitative shock sensitivity predictions were verified by comparing the impact and shock sensitivities of common explosives and the characteristics of anisotropic shock-induced *** dynamics simulations quantitatively predict and rank shock sensitivities by using only crystal structures of the ***,this method will enable the design and safe use of explosives.

关键词： Explosive Shock sensitivity quantitative prediction Reactive molecular dynamics simulation

quantitative prediction of mixed-source crude oils and its significance for understanding oil accumulation in subtle pools in the Dongying Depression,Bohai Bay Basin

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Petroleum Science 2008年第3期5卷 203-211页

作者： Li Sumei Liu Keyu Pang Xiongqi Li Maowen Jiang Zhenxue Qiu Guiqiang Gao Yongjin Key Laboratory for Hydrocarbon Accumulation Mechanism of the Ministry of Education. Basin ＆ Reservoir Research Center. China University of Petroleum. Beijing 102249 CSIRO Petroleum. P.O. Box 1130. Bentley WA 6102. Australia Geological Survey of Canada. 3303-33 Street NW Calgary. Alberta T2L 2A7. Canada Shengli Oilfield Conapany. SINOPEC. Dongying. Shandong 257015. China

Conventional geochemical approaches were utilized in the quantitative prediction of the proportions of mixed-source crude oils derived from the Es3 and ES4 members of the Paleogene Shahejie Formation. The mixed-source oils are accumulated in the middle interval of the Es3 member （Es3 M） in the Niuzhuang Sag, which is one of the sags where subtle traps are primarily of lenticular basin-floor turbidite sands within mudstones mostly developed in the Dongying Depression, Bohai Bay Basin. The result showed that about 18-92% of the mixed-source oils were derived from the Es4 source rocks with an average of 55-60%）. Reservoirs associated with deep faults appear to have much more Es4 genetic affinity oils. A high proportion of the Es4-derived oils discovered in the Es3 M subtle lithological traps in the Niuzhuang Sag have long migration distances. This suggests that surrounding source rocks might not necessarily control the hydrocarbon supply for subtle traps. Subtle migration pathway may play an important role in the vertical oil migration. The traditional concept of hydrocarbons accumulation in these tenticular turbidite sandstone traps within a short migration distance from the surrounding source rocks is not supported by this study. The present result is also consistent with our previous findings that immature oils in the Bamianhe Oilfield in the south slope of the Niuzhuang Sag were actually mixed-source oils mostly sourced from the Es4 in the depocenter of the Niuzhuang Sag, and the petroleum potential of the ES4 member in the Dongying Depression should therefore be re-evaluated.

关键词： Niuzhuang Sag lithological oil pool. mixed-source oil quantitative prediction

quantitative prediction for Deep Mineral Exploration

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Journal of China University of Geosciences 2008年第4期19卷 309-318页

作者：赵鹏大成秋明夏庆霖 China University of Geosciences State Key Laboratory of Geological Processes and Mineral Resources China University of Geosciences Department of Earth and Space Science and Engineering York University

On reviewing the characteristics of deep mineral exploration, this article elaborates on the necessity of employing quantitative prediction to reduce uncertainty. This is caused by complexity of mineral deposit formational environments and mineralization systems as increase of exploration depth and incompleteness of geo-information from limited direct observation. The authors wish to share the idea of ＂seeking difference＂ principle in addition to the ＂similar analogy＂ principle in deep mineral exploration, especially the focus is on the new ores in depth either in an area with discovered shallow mineral deposits or in new areas where there are no sufficient mineral deposit models to be compared. An on-going research project, involving Sn and Cu mineral deposit quantitative prediction in the Gejiu （个旧） area of Yunnan （云南） Province, China, was briefly introduced to demonstrate how the ＂three-component＂（geoanomaly-mineralization diversity-mineral deposit spectrum） theory and non-linear methods series in conjunction with advanced GIS technology, can be applied in multi-scale and multi-task deep mineral prospecting and quantitative mineral resource assessment.

关键词： mineral resources quantitative prediction deep mineral exploration second mineral exploration space

quantitative prediction of the bitterness of atomoxetine hydrochloride and taste-masked using hydroxypropyl-β-cyclodextrin:A biosensor evaluation and interaction study

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Asian Journal of Pharmaceutical Sciences 2020年第4期15卷 492-505页

作者： Shuying Li Ying Zhang Abdur Rauf Khan Shuwang He Yingxin Wang Jiangkang Xu Guangxi Zhai Department of Pharmaceutics College of PharmacyShandong UniversityJinan250012China Department of Pharmaceutical Development Shandong Dyne Marine Biopharmaceutical Limited CorporationRongcheng264300China

The bitterness of a drug is a major challenge for patient acceptability and compliance,especially for *** to the toxicity of medication,a human taste panel test has certain *** hydrochloride(HCl),which is used for the treatment of attention deficit/hyperactivity disorder(ADHD),has an extremely bitter *** aim of this work is to quantitatively predict the bitterness of atomoxetine HCl by a biosensor *** on the mechanism of detection of the electronic tongue(Etongue),the bitterness of atomoxetine HCl was evaluated,and it was found that its bitterness was similar to that of quinine *** bitterness threshold of atomoxetine HCl was 8.61μg/ml based on the Change of membrane Potential caused by Adsorption(CPA)value of the BT0 *** this study,the taste-masking efficiency of 2-hydroxypropyl-β-cyclodextrin(HP-β-CyD)was assessed by Euclidean distances on a principle component analysis(PCA)map with the SA402B Taste Sensing System,and the host–guest interactions were investigated by differential scanning calorimetry(DSC),powder X-ray diffraction(XRD),nuclear magnetic resonance(NMR)spectroscopy and scanning electron microscopy(SEM).Biosensor evaluation and characterization of the inclusion complex indicated that atomoxetine HCl could actively react with 2-hydroxypropyl-β-cyclodextrin.

关键词： Atomoxetine HCl E-tongue quantitative prediction Host–guest interaction

quantitative prediction of Concentrated Regions of Large and Superlarge Deposits in China

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Journal of China University of Geosciences 2003年第3期14卷 245-249页

作者： Wang Shicheng Zhao Zhenyu Wang Yutian Mineral Resources Institute of Comprehensive Information prediction, Jilin University, Changchun 130026 Mineral Resources Institute of Comprehensive Information prediction Jilin University Changchun 130026

Identification and quantitative prediction of large and superlarge mineral deposits of solid mineral resources using the mineral resource prediction theory and method with comprehensive information is carried out nationwide in China at a scale of 1∶5 000 000. Using deposit concentrated regions as the model units and concentrated mineralization anomaly regions as prediction units, the prediction is performed on GIS platform. The technical route and research method of locating large and superlarge mineral deposits and principle of compiling attribute table of independent variables and functional variables are proposed. Upon methodology study, the qualitative locating and quantitative predicting mineral deposits are carried out with quantitative theory Ⅲ and characteristic analysis, respectively, and the advantage and disadvantage of two methods are discussed. This research is significant for mineral resource prediction in ten provinces of western China.

关键词： mineral deposit prediction quantitative prediction large ore deposits concentrated ore deposit region variable attribute table ore deposits in China

Productivity matching and quantitative prediction of coalbed methane wells based on BP neural network

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Science China(Technological Sciences) 2011年第5期54卷 1281-1286页

作者： LU YuMin TANG DaZhen XU Hao TAO Shu Key Laboratory of Marine Reservoir Evolution and Hydrocarbon Accumulation Mechanism School of Energy Resources China University of Geosciences Beijing 100083 China

It is a great challenge to match and predict the production performance of coalbed methane (CBM) wells in the initial production stage due to heterogeneity of coalbed, uniqueness of CBM production process, complexity of porosity-permeability variation and difficulty in obtaining some key parameters which are critical for the conventional prediction methods (type curve, material balance and numerical simulation). BP neural network, a new intelligent technique, is an effective method to deal with nonlinear, instable and complex system problems and predict the short-term change quantitatively. In this paper a BP neural model for the CBM productivity of high-rank CBM wells in Qinshui Basin was established and used to match the past gas production and predict the futural production performance. The results from two case studies showed that this model has high accuracy and good reliability in matching and predicting gas production with different types and different temporal resolutions, and the accuracy increases as the number of outliers in gas production data decreases. Therefore, the BP network can provide a reliable tool to predict the production performance of CBM wells without clear knowledge of coalbed reservoir and sufficient production data in the early development stage.

关键词： BP neural network coalbed methane well productivity matching quantitative prediction

quantitative prediction of channel sand bodies based on seismic peak attributes in the frequency domain and its application

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Applied Geophysics 2010年第1期7卷 10-17,98页

作者：孙鲁平郑晓东首皓李劲松李艳东中国石油勘探开发研究院

The boundary identification and quantitative thickness prediction of channel sand bodies are always difficult in seismic *** present a new method for boundary identification and quantitative thickness prediction of channel sand bodies based on seismic peak attributes in the frequency *** seismic forward modeling of a typical thin channel sand body,a new seismic attribute-the ratio of peak frequency to amplitude was *** study demonstrated that seismic peak frequency is sensitive to the thickness of the channel sand bodies,while the amplitude attribute is sensitive to the strata *** ratio of the two attributes can highlight the boundaries of the channel sand ***,the thickness of the thin channel sand bodies can be determined using the relationship between seismic peak frequency and thin layer *** applications have demonstrated that the seismic peak frequency attribute can depict the horizontal distribution characteristics of channels very *** ratio of peak frequency to amplitude attribute can improve the identification ability of channel sand body *** prediction and boundary identification of channel sand bodies with seismic peak attributes in the frequency domain are feasible.

关键词： channel sand bodies seismic peak frequency attribute seismic peak amplitude attribute boundary identification quantitative prediction

Formation Dynamics and quantitative prediction of Hydrocarbons of the Superpressure System in the Dongying Sag

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Acta Geologica Sinica(English Edition) 2008年第1期82卷 164-173页

作者： SUI Fenggui HAO Xuefeng LIU Qing ZHUO Qin＇gong ZHANG Shouchun Geological Scientific Research Institute Shengli Oilfield Company of SINOPEC. Dongying Shandong 257015

Based on the theory of formation dynamics of oil/gas pools, the Dongying sag can be divided into three dynamic systems regarding the accumulation of oil and gas： the superpressure closed system, the semi-closed system and the normal pressure open system. Based on the analysis of genesis of superpressure in the superpressure closed system and the rule of hydrocarbon expulsion, it is found that hydrocarbon generation is related to superpressure, which is the main driving factor of hydrocarbon migration. Micro fractures formed by superpressure are the main channels for hydrocarbon migration. There are three dynamic patterns for hydrocarbon expulsion： free water drainage, hydrocarbon accumulation and drainage through micro fissures. In the superpressure closed system, the oil-driving-water process and oil/gas accumulation were completed in lithologic traps by way of such two dynamic patterns as episodic evolution of superpressure systems and episodic pressure release of faults. The oil-bearing capacity of lithologic traps is intimately related to reservoir-forming dynamic force. quantitative evaluation of dynamic conditions for pool formation can effectively predict the oil-bearing capability of traps.

关键词： superpressure closed system hydrocarbon expulsion dynamics dynamic patterns for pool formation quantitative prediction Dongying sag

On quantitative prediction of mine structure and application of the method

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Journal of Coal Science & Engineering(China) 2002年第1期8卷 33-37页

作者：夏玉成樊怀仁 Dept. of Geology and Environment Engineering Xian University of Science and technology Xian 710054 China

Coal mining activity is often restricted by geologic structural conditions, so it is very important to know the distribution situation of mine structures in advance of mining. For this reason, traditional qualitative procedure must give way to quantitative prediction method backed by mathematics theory and computer technology. This paper explores some relevant problems with the method, introducing a software, MSPS, used to predict automatically and quantitatively the relative complexities of geologic structures in different blocks of a coal mining area, with an application example employing the software to select the most suitable mining sites.

关键词： mine structure quantitative prediction assessment index automatic quantifying