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Quick Evaluation of Present-Day Low-Total Organic Carbon Carbonate Source Rocks from Rock-Eval Data: Middle–Upper Ordovician in the Tabei Uplift, Tarim Basin

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Acta Geologica Sinica(English Edition) 2018年第4期92卷 1558-1573页

作者： CHEN Junqing pang Xiongqi YANG Haljun pang Hong pang bo State Key Laboratory of Petroleum Resources and Prospecting China university of Petroteurn Beijing 102249 China College of Geosciences China University of Petroleum Beijing 102249 China Geological Survey of Canada Natural Resources Canada Calgary T2L 2A 7 Canada Research Institute of Petroleum Exploration and Development PetroChina Tarim Oilfield Company Korla 841000 China

Previous studies have postulated the contribution of present-day low-total organic carbon （TOC） marine carbonate source rocks to oil accumulations in the Tabei Uplift, Tarim Basin, China. However, not all present-day low-TOC carbonates have generated and expelled hydrocarbons; therefore, to distinguish the source rocks that have already expelled sufficient hydrocarbons from those not expelled hydrocarbons, is crucial in source rock evaluation and resource assessment in the Tabei Uplift. Mass balance can be used to identify modern low-TOC carbonates resulting from hydrocarbon expulsion. However, the process is quite complicated, requiring many parameters and coefficients and thus also a massive data source. In this paper, we provide a quick and cost effective method for identifying carbonate source rock with present-day low TOC, using widely available Rock-Eval data. First, we identify present-day low-TOC carbonate source rocks in typical wells according to the mass balance approach. Second, we build an optimal model to evaluate source rocks from the analysis of the rocks＇ characteristics and their influencing factors, reported as positive or negative values of a dimensionless index of Rock-Eval data （IR）. Positive IR corresponds to those samples which have expelled hydrocarbons. The optimal model optimizes complicated calculations and simulation processes; thus it could be widely applicable and competitive in the evaluation of present-day low TOC carbonates. By applying the model to the Rock-Eval dataset of the Tabei Uplift, we identify present-day iow-TOC carbonate source rocks and primarily evaluate the contribution equivalent of 11.87×10^9 t oil.

关键词： present-day low-TOC carbonate source rocks quick evaluation model Rock-Eval TabeiUplift

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Driving forces and their relative contributions to hydrocarbon expulsion from deep source rocks: A case of the Cambrian source rocks in the Tarim Basin

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Petroleum Science 2023年第1期20卷 20-33页

作者： bo pang Jun-Qing Chen Xiong-Qi pang Tao Hu Yue Sheng State Key Laboratory of Petroleum Resources and Prospecting China University of PetroleumBeijing102249China College of Geosciences China University of PetroleumBeijing102249China College of Science China University of PetroleumBeijing102249China Laboratory of Optical Detection Technology for Oil and Gas China University of PetroleumBeijing102249China Basic Research Center for Energy Interdisciplinary China University of PetroleumBeijing102249China CNPC Economics&Technology Research Institute Beijing100029China

To thoroughly understand the dynamic mechanism of hydrocarbon expulsion from deep source rocks,in this study,five types of hydrocarbon expulsion dynamics(thermal expansion,hydrocarbon diffusion,compaction,product volume expansion,and capillary pressure difference(CPD))are studied.A model is proposed herein to evaluate the relative contribution of different dynamics for hydrocarbon expulsion using the principle of mass balance,and the model has been applied to the Cambrian source rocks in the Tarim *** evaluation results show that during hydrocarbon expulsion from the source rocks,the relative contribution of CPD is the largest(>50%),followed by compaction(10%-40%),product volume expansion(5%-30%),and thermal expansion(2%-20%).The relative contribution of diffusion to hydrocarbon expulsion is minimal(bon expulsion process of deep source *** hydrocarbon expulsion process of source rocks can be categorized into three stages based on the contribution of different dynamics to the process:the first stage is dominated by compaction and diffusion to expel hydrocarbons,the second stage is dominated by product volume expansion and CPD,and the third stage is dominated by product volume expansion and *** research offers new insights into hydrocarbon exploration in tight oil and gas reservoirs.

关键词： Driving force Dynamic mechanism Hydrocarbon expulsion Deep oil and gas exploration Tarim Basin

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Novel polarimetric SAR speckle filtering algorithm based on mean shift

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Journal of Systems Engineering and Electronics 2013年第2期24卷 222-233页

作者： bo pang Shiqi Xing Yongzhen Li Xuesong Wang School of Electronic Science and Engineering National University of Defense Technology

For better interpretation of synthetic aperture radar（SAR） images,the speckle filtering is an important *** the area of speckle filtering,the proper averaging of samples with similar scattering characteristics is of great ***,existing filtering algorithms are either lack of a similarity judgment of scattering characteristics or using only intensity information for similarity judgment.A novel polarimetric SAR（PolSAR） speckle filtering algorithm based on the mean shift theory is *** polarimetric covariance matrices or coherency matrices form Riemannian manifold,the pixels with similar scattering characteristics gather closely and those with different scattering characteristics separate in this *** using the range-spatial joint mean shift theory in Riemannian manifold,the pixels chosen for averaging are ensured to be close not only in scattering characteristics but also in the spatial *** Aerospace Center（DLR） L-Band Experiment SAR（E-SAR） data and East China Research Institute of Electronic Engineering（ECRIEE） PolSAR data are used to demonstrate the efficiency of the proposed *** filtering results of two commonly used speckle filtering algorithms,refined Lee filtering algorithm and intensity driven adaptive neighborhood（IDAN） filtering algorithm,are also presented for the comparison *** results show that the proposed speckle filtering algorithm achieves a good performance in terms of speckle filtering,edge protection as well as polarimetric characteristics preservation.

关键词： speckle filtering mean shift polarimetric synthetic aperture radar(PolSAR).

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Variations of optic properties of water under action of static magnetic field

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Chinese Science Bulletin 2007年第23期52卷 3179-3182页

作者： DENG bo pang XiaoFeng School of Life Science and Technology University of Electronic Science and Technology of China Chengdu 610054 China

Effects of static magnetic field on optic properties of water are investigated by infrared spectroscopy, ultraviolet spectroscopy and X-ray diffraction, respectively. The ultraviolet spectroscopy experiments show the changes of properties of water under action of static magnetic field, in the region of 191 to 400 nm. The infrared experiment shows that the water exposed in a magnetic field had saturation and memory effects. The magnetized effects increased with increasing exposed time, but were weakened with increasing of time when the magnetic field was removed. In the X-ray experiment, the strength of diffraction increased also, after the water was exposed in magnetic field. Meanwhile, the shift of peak and increase of strength of X-ray diffraction of magnetized water added with nanoFe3O4 occurred as compared with that of pure water added with nano Fe3O4. This result suggests that the magnetized wa- ter has certain magnetism. Finally, these phenomena are simply explained by the molecular structure of water and the theory of magnetization of water.

关键词：红外线光谱学紫外线光谱学 X衍射静力学磁铁

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Adaptive dynamic programming for finite-horizon optimal control of linear time-varying discrete-time systems

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Control Theory and Technology 2019年第1期17卷 73-84页

作者： bo pang Tao BIAN Zhong-Ping JIANG Control and Networks (CAN) Lab Department of Electrical and Computer Engineering Tandon School of Engineering New York University Brooklyn NY 11201 U.S.A. Bank of America Merrill Lynch One Bryant Park New York NY 70036 U.S.A.

This paper studies data-driven learning-based methods for the finite-horizon optimal control of linear time-varying discretetime systems. First, a novel finite-horizon Policy Iteration (PI) method for linear time-varying discrete-time systems is presented. Its connections with existing in finite-horizon PI methods are discussed. Then, both data-drive n off-policy PI and Value Iteration (VI) algorithms are derived to find approximate optimal controllers when the system dynamics is completely unknown. Under mild conditions, the proposed data-driven off-policy algorithms converge to the optimal solution. Finally, the effectiveness and feasibility of the developed methods are validated by a practical example of spacecraft attitude control.

关键词： Optimal control time-varying system adaptive dynamic programming policy iteration (PI) value iteration(VI)

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DGA-Based botnet Detection Toward Imbalanced Multiclass Learning

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Tsinghua Science and Technology 2021年第4期26卷 387-402页

作者： Yijing Chen bo pang Guolin Shao Guozhu Wen Xingshu Chen College of Cybersecurity Sichuan UniversityChengdu 610065China Cybersecurity Research Institute Sichuan UniversityChengdu 610065China

botnets based on the Domain Generation Algorithm(DGA) mechanism pose great challenges to the main current detection methods because of their strong concealment and robustness. However, the complexity of the DGA family and the imbalance of samples continue to impede research on DGA detection. In the existing work, the sample size of each DGA family is regarded as the most important determinant of the resampling proportion;thus,differences in the characteristics of various samples are ignored, and the optimal resampling effect is not *** this paper, a Long Short-Term Memory-based Property and Quantity Dependent Optimization(***)method is proposed. This method takes advantage of LSTM to automatically mine the comprehensive features of DGA domain names. It iterates the resampling proportion with the optimal solution based on a comprehensive consideration of the original number and characteristics of the samples to heuristically search for a better solution around the initial solution in the right direction;thus, dynamic optimization of the resampling proportion is *** experimental results show that the *** method can achieve better performance compared with existing models to overcome the difficulties of unbalanced datasets;moreover, it can function as a reference for sample resampling tasks in similar scenarios.

关键词： botnet Domain Generation Algorithm(DGA) multiclass imbalance resampling

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Rapid Microwave-Assisted Ionothermal Dissolution of Cellulose and Its Regeneration Properties

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Journal of Renewable Materials 2019年第12期7卷 1363-1380页

作者： Xu Wang Jianhong Zhou bo pang Dawei Zhao Key Laboratory on Resources Chemicals and Materials of Ministry of Education Shenyang University of Chemical TechnologyShenyang110142China Institute of Industrial Chemistry and Energy Technology Shenyang University of Chemical TechnologyShenyang110142China College of Environmental and Safety Engineering Shenyang University of Chemical TechnologyShenyang110142China

Introduction of the strategy of anhydrous calcium carbonate protection incorporated with the drop by drop reaction,high-purity 1-butyl-3-methylimidazolium chloride([Bmim]Cl)was prepared at reaction temperature of 80°C for only 10 *** samples from different biomass sources(with different degree of polymerization characteristic)could be rapidly(no more than 10 minutes)and completely dissolved in the[Bmim]Cl using a microwave-assisted ionothermal *** cellulosic regenerates with high degree of polymerization and thermal stability characteristics were obtained through a coagulation process in ***,the dissolved celluloses were readily regenerated into solid products such as casting films and spinning fibers,which exhibited high transparency and flexibility,as well as superior mechanical properties of over 300 MPa(tensile strength)more than those of cellulose samples *** study therefore provides a new process for the synthesis of high-purity[Bmim]Cl for the highly efficient dissolution of cellulose to produce high performance cellulosic materials for various applications such as flexible electronic,optoelectronic,soft robots.

关键词： Ionic liquid cellulose ionothermal transparent film

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Impacts of Two Types of El Ni o on the MJO during boreal Winter

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Advances in Atmospheric Sciences 2016年第8期33卷 979-986页

作者： bo pang Zesheng CHEN Zhiping WEN Riyu LU Center for Monsoon and Environment Research/School of Atmospheric Sciences Sun Yat-Sen UniversityGuangzhou 510275 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029 State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301

The features of the MJO during two types of El Ni no events are investigated in this paper using the daily NCEP-2reanalysis data, OLR data from NOAA, and Real-time Multivariate MJO index for the period 1979–2012. The results indicate that the MJO exhibits distinct features during eastern Pacific（EP） El Ni no events, as compared to central Pacific（CP） El Ni no events. First, the intensity of the MJO is weakened during EP El Ni no winters from the tropical eastern Indian Ocean to the western Pacific, but enhanced during CP El Ni no winters. Second, the range of the MJO eastward propagation is different during the two types of El Ni no events. During EP El Ni no winters, the MJO propagates eastwards to 120？W, but only to 180？during CP El Ni no winters. Finally, the frequency in eight phases of the MJO may be affected by the two types of El Ni no. Phases 2 and 3 display a stronger MJO frequency during EP El Ni no winters, but phases 4 and 5 during CP El Ni no winters.

关键词： MJO eastern Pacific El Nio central Pacific El Nio

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Structure of Chinese City Network as Driven by Technological Knowledge Flows

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Chinese Geographical Science 2015年第4期25卷 498-510页

作者： MA Haitao FANG Chuanglin pang bo WANG Shaojian Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences University of Chinese Academy of Sciences

Based on patent cooperation data,this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge *** results revealed the spatial structure,composition structure,hierarchical structure,group structure,and control structure of Chinese city network,as well as its dynamic *** major findings are:1) the spatial pattern presents a diamond structure,in which Wuhan is the central city;2) although the invention patent knowledge network is the main part of the broader inter-city innovative cooperation network,it is weaker than the utility model patent;3) as the senior level cities,Beijing,Shanghai and the cities in the Zhujiang(Pearl) River Delta Region show a strong capability of both spreading and controlling technological knowledge;4) whilst a national technology alliance has preliminarily formed,regional alliances have not been adequately established;5) even though the cooperation level amongst weak connection cities is not high,such cities still play an important role in the network as a result of their location within ′structural holes′ in the network;and 6) the major driving forces facilitating inter-city technological cooperation are geographical proximity,hierarchical proximity and technological proximity.

关键词： technological knowledge flows patent cooperation city networks network structure structure holes cohesive subgroup

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A novel approach framework based on statistics for reconstruction and heartrate estimation from PPG with heavy motion artifacts

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Science China(Information Sciences) 2018年第2期61卷 182-193页

作者： bo pang Ming LIU Xu ZHANG Peng LI Hongda CHEN State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences University of Chinese Academy of Sciences

One of the most important applications of photoplethysmography(PPG) signal is heartrate(HR)estimation. For its applications in wearable devices, motion artifact(MA) may be the most serious challenge for randomness both in format and temporal distribution. This paper proposes an advanced time-frequency analysis framework based on empirical mode decomposition(EMD) to select specific time slices for signal reconstruction. This framework operates with a type of pre-processing called variance characterization series(VCS), EMD, singular value decomposition(SVD), and a precise and adaptive 2-D filtration reported *** filtration is based on Harr wavelet transform(HWT) and 3 rd order cumulant analysis, to make it have resolution in both the time domain and different components. The simulation results show that the proposed method gains 1.07 in absolute average error(AAE) and 1.87 in standard deviation(SD); AAEs’ 1 st and 3 rd quartiles are 0.12 and 1.41, respectively. This framework is tested by the Physio Bank MIMIC II waveform database.

关键词： photoplethysmography(PPG) motion artifact empirical mode decomposition(EMD) singular value decomposition discrete wavelet transform higher-order statistics

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