A5102796832- Hydrocarbon exploration and reservoir analysis
- Wireless Signal Modulation Classification
- Methane Hydrates and Related Phenomena
- Radar Systems and Signal Processing
- Advanced Computational Techniques and Applications
- Geological and Geophysical Studies
- Advanced Algorithms and Applications
- Enhanced Oil Recovery Techniques
- Geological formations and processes
- Hydraulic Fracturing and Reservoir Analysis
- Atmospheric and Environmental Gas Dynamics
- Advanced Measurement and Detection Methods
- Advanced Research in Science and Engineering
- Military Defense Systems Analysis
- Power Systems and Renewable Energy
- Neural Networks and Applications
- High-Voltage Power Transmission Systems
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Sensor and Control Systems
- Smart Grid and Power Systems
- Reservoir Engineering and Simulation Methods
- Engineering and Test Systems
- Optical Systems and Laser Technology
- Digital Media and Visual Art
- Antenna Design and Optimization
China Waterborne Transport Research Institute
2022-2024
Guangzhou Marine Geological Survey
2015-2023
PLA Air Force Aviation University
2009-2022
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2020-2021
Ministry of Natural Resources
2021
China Geological Survey
2021
Research Institute of Petroleum Exploration and Development
2020
Kunming University of Science and Technology
2006-2018
Beijing Institute of Technology
2011-2012
China University of Geosciences
2012
The mechanism of slope failure associated with overpressure that is caused by hydrocarbon migration and accumulation remains unclear. High-resolution seismic data gas hydrate drilling collected from the Shenhu field (site SH5) offer a valuable opportunity to study relations between submarine flow ∼2 km-diameter chimney developed beneath site SH5 where none hydrates had been recovered sampling despite presence distinct bottom simulating reflectors (BSRs) favorable indication. resulted...
Abstract Gas chimneys are key pathways for geofluid vertical migration; therefore, deciphering their formation and evolution is crucial hydrocarbon exploration geohazard risk assessment. However, the influences of ambient conditions (e.g. bathymetry, tectonics, sediment supply flux) on gas chimney development have not been thoroughly investigated. Using high‐resolution 3D seismic data, we identified 59 beneath Shenhu Slope (a hydrate test production area northern South China Sea margin), 35...
ABSTRACT Study in this paper, alkaline-surfactant-polymer combination system (ASP) as a flooding agent, is new EOR technology aimed at oil with high acid value. has been proved that system's rheology and IFT between value are key factors effecting recovery. Formation of petroleum carboxylic soap from reaction alkaline organic oil, sulfonate sodium tritron (OP-10) added their effect result ultra-low even very low surfactant concentration (transient less than 10−4mN/m, balanced EFT...
Previous gas hydrate production tests conducted by the Guangzhou Marine Geological Survey (GSGM) in 2017 and 2020 indicated great potential of hydrates Shenhu Sea area Pearl River Mouth Basin (PRMB), China. In this study, effects deposition processes submarine canyons distribution chimneys on accumulation were investigated using high-resolution two- dimensional (2D) three-dimensional (3D) seismic data. Four intact identified study area. Five deepwater depositional elements are closely...
This paper proposes a desirable method to detect different kinds of low probability intercept (LPI) radar signals, targeted at the main intra-pulse modulation LPI signals including linear frequency modulation, phase code, and code. Firstly, it improves coherent integration by adding periodicity ambiguity function. Then, develops domain detection based on fast Fourier transform (FFT) segmented autocorrelation function without features virtue distribution characteristics noise in domain....
To apply the Ramanujan filter bank based on compressed sensing theory to period estimation of multiple sets radar pulses, alternatives data and Subspace are proposed in this study. First, rationality TOA (time arrival) model is illustrated by comparing advantages disadvantages time‐point model. Next, clarifying zero‐sum energy property Subspace, possibility finding an alternative discrete Fourier transform sequence with smaller proved. On basis, a new algorithm for estimating stagger mixed...
Photovoltaic power generation has the characteristics of large randomness, poor stability, and great influence by meteorological conditions. A number grid-connected photovoltaic system will bring random impact to grid, which may affect stablility grid. In this paper, at first we discuss direct prediction method indirect commonly used in current prediction. Then methods including Vector Autoregressive (VAR) model Light Gradient Bosting Machine(LGBM) are applied prediction, simulation results...
The port has a good wind resource endowment and construction conditions to support sustained scale development, therefore the potential for renewable energy be used in sent out of port. prediction resources ports is an important foundation ensure reliability power supply. In this paper, LGBM model, LSTM Transformer neural network model are discussed detail. Among them, smallest error meets index.
ABSTRACT Reduetion of surfactant retention by using polyphosphates as chelating agent in micellar flooding is discussed this paper. Laboratory tests have been performed simulated sandpacks which consisted kaolinte and quartz, with petroleum sulfonate TRS 10 - 80 dissolved brines different sodium (or calcium) concentrations. Micellar slug or without polyphosphate preflush was compared. Other experiments concerning the influences on solubility calcium brines,the exchangeable cations clay...
This paper designs SVM radar emitter classification and identification methods based on the AP clustering. Using clustering algorithm to optimize data set obtains a high-quality, small-sample training of classifier. Experimental results show that compared with traditional classifiers, hybrid classifier has higher accuracy furthermore Radar method is better.
In this paper the model of asynchronous wind generator and superconducting magnetic energy storage (SMES) are presented. And method calculating power flow in system with station processing for node generators network equation also given. The numerical simulation driven grid failure conditions shows that it has better transient stability dynamic feature.
Image recognition refers to the technology which processes, analyzes and understands images with computer so as recognize various targets objects of different patterns. To effectively combine image intelligent algorithm can enhance efficiency feature analysis, improve detection accuracy guarantee real-time detection. In recognition, following problems exist: description accurate object features, blockage, complex changeable scenes. Whether these be solved has great significance in improving...
In view of the problem that current electromagnetic environment platform is not able to provide real signal source for electronic reconnaissance, in this paper complex faced by modern warfare analyzed, and design which can an approximate cognitive reconnaissance. Based on feature modeling calculation parameters, obtain radar pulse data, through data fusion coding, get battlefield show chart. The be more effectively applied process reconnaissance processing, a realistic war Experiments...
The sorting accuracy of the radar emitter signal-sorting algorithm is reduced in a complex electromagnetic environment. In view this problem, we proposed an envelope extraction for amplitude signals paper. On basis variation characteristics pulse (PA), designed PA by segmented Hermitian interpolation and difference algorithm. This achieves case severe aliasing. From simulation results, it can effectively process aliasing source with false missing pulses, which enables high different...
Radar Signal Sorting is always a problem of radar countermeasure. In this paper, shifting grids technique applied to signal sorting. The current grid clustering algorithm, used for sorting, has some problems such as data input reliance and low precision. So new sorting algorithm based on proposed. can discover arbitrary shapes not sensitive sequence. And the verified be effective better robustness noise through simulation.