A5100349526- Seismic Imaging and Inversion Techniques
- Geophysical Methods and Applications
- Hydraulic Fracturing and Reservoir Analysis
- Hydrocarbon exploration and reservoir analysis
- Drilling and Well Engineering
- Geological and Geophysical Studies
- Reservoir Engineering and Simulation Methods
- Geophysical and Geoelectrical Methods
- Geological formations and processes
- Enhanced Oil Recovery Techniques
- Geological and Geochemical Analysis
- Underwater Vehicles and Communication Systems
- Maritime Navigation and Safety
- Geochemistry and Elemental Analysis
- NMR spectroscopy and applications
- Ultrasonics and Acoustic Wave Propagation
- Image Processing and 3D Reconstruction
- Adaptive Control of Nonlinear Systems
- Oil and Gas Production Techniques
- Petroleum Processing and Analysis
- Infrastructure Maintenance and Monitoring
- Earthquake Detection and Analysis
- Advanced Sensor and Control Systems
- Seismic Waves and Analysis
- Geophysics and Sensor Technology
Chengdu University of Technology
2018-2025
Research Institute of Petroleum Exploration and Development
2024
China National Petroleum Corporation (China)
2024
Weifang People's Hospital
2023
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2019-2023
Ministry of Natural Resources
2023
Changzhou University
2023
Sinopec (China)
2023
Northeast Petroleum University
2023
Southwest Petroleum University
2020-2023
In the current study, novel environmentally friendly and interfacially active carbon nanotubes/SiO2 nanomaterials (CNTs/SiO2) for emulsified crude oil separation were prepared via grafting nano-SiO2 on surface of oxidized nanotubes (Ox-CNTs). The structure as-prepared CNTs/SiO2 was characterized by Fourier transform infrared spectroscopy, UV–visible absorption spectra, Raman X-ray diffraction thermogravimetric analysis, field-emission scanning electron microscope, energy-dispersive...
The quality of Automatic Identification System (AIS) data is fundamental importance for maritime situational awareness and navigation risk assessment. To improve operational efficiency, a deep learning method based on Bi-directional Long Short-Term Memory Recurrent Neural Networks (BLSTM-RNNs) proposed applied in AIS trajectory restoration. Case studies have been conducted two distinct reaches the Yangtze River capability has evaluated. Comparisons made between BLSTM-RNNs-based linear...
Lost circulation, resulting from the undesired loss of drilling fluid into formation fractures, stands as a significant technical obstacle in exploration and production oil, gas, geothermal reservoirs. Effective mitigation this challenge requires development application robust experimental evaluation methods to assess effectiveness fracture plugging. The traditional approach plugging relies on uniform index parameters for various lost circulation types. Unfortunately, practice frequently...
Abstract Ground Penetrating Radar (GPR) has been widely used to detect highway pavement structures. In recent years, deep learning techniques have achieved significant success in image recognition, which is potentially relevant for interpreting ground-penetrating radar data. This because the various types of damage develop at different levels and quantities. So number datasets road injuries not balanced. leads poor accuracy injury classification. And cost collecting a large amount data field...
Extensive literature has been proposed for the analysis of correlated survival data. Subjects within a cluster share some common characteristics, e.g., genetic and environmental factors, so their time-to-event outcomes are correlated. The frailty model under proportional hazards assumption widely applied clustered outcomes. However, prediction performance this method can be less satisfactory when risk factors have complicated effects, nonlinear interactive. To deal with these issues, we...
Abstract Ground Penetrating Radar (GPR) is one of the most used devices for road structural damages detection. However, due to different roadbed conditions and various disturbances in nearby environment during detection, there are great difficulties interpreting detection images, which also hinders automatic based on deep learning. In this work, we design a GPR image denoising method Cyclegan. We select suitable generator add attention mechanisms. After natural image, using Yolo (You Only...
The Carboniferous Yanghugou Formation in the western margin of Ordos Basin exhibits significant potential for oil and gas exploration. However, due to influence complex tectonic activities, there are substantial variations stratigraphic thickness depositional environments across formation. lack a systematic source–sink comparative study has resulted an unclear understanding sediment sources paleogeographic patterns, impacting exploration hydrocarbon accumulations. We conducted comprehensive...
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Deep learning techniques have flourished in recent years and shown great potential ground-penetrating radar (GPR) data interpretation. However, obtaining sufficient training is a challenge. This paper proposes an intelligent recognition method based on slicing-aided hyper inference (SAHI) for GPR images. Firstly, the problem of insufficient samples images with structural loose distresses, augmentation carried out deep convolutional generative adversarial networks (DCGAN). Since distress...
Abstract Biomimetic undulating fin propulsion systems have the advantages for enhancing maneuverability and efficiency of underwater robot when compared with conventional driving forms. However, there are still some defects existing in this approach, such as low speed difficulty depth control. This paper presents mechanical design, control system design experimental evaluation a biomimetic propulsion. First, 3D model was established CATIA. According to kinematic fins, been optimized phase...
This study examined an enhanced foam-flooding system incorporating nanoparticles and polymers under geological conditions of a reservoir the Shu 16 block in Yushulin oilfield. The is mainly comprised anionic foaming agent (CQS-1) nonionic surfactant (FH-1). We screened 17 foams by evaluating their volumes foam half-lives using Waring-blender dynamic analysis methods, were selected after examining each foam’s concentration, ratio main to auxiliary agent, dosage stabilizer. Then, we analyzed...
Abstract The cross-hole electromagnetic (EM) method, which is currently at the forefront of electric logging technology, fundamentally solves problems lateral imaging ability single-well and lack detection inter-well physical properties. However, due to complexity underground reservoir distribution non-uniqueness problem geophysical inversion, there remains a practical effective inversion methods. Our goal develop an efficient method reduce property model recovered in inversion. It worth...
The tight sandstones of the Upper Triassic Xujiahe Formation are important gas reservoirs in western part Sichuan Basin, China. However, their diagenesis and factors controlling diagenetic processes poorly constrained. petrological geochemical nature minerals sandstone was analysed from 105 core samples three wells Xinchang Gas Field. lower member, Xu‐2, have an average framework composition Q 65 F 16 R 19 , 47% total lithic fragments volcanic rock (VRFs). In contrast, upper Xu‐4, 53 0 47...
In coastal regions throughout the Arctic, seabed is frequently scoured or gouged by sea ice ridges and icebergs. This presents an environmental hazard to pipelines subsea infrastructures operating in area therefore a greater understanding of these processes needed. paper describes three dimensional (3D), numerical model that was developed simulate failure behavior ridge keel as it interacts with seabed. The simulation conducted Yade, open-source code, which uses Discrete Element Method (DEM)...
Trimethyltin chloride is a highly toxic substance, which absorbed through respiratory tract, skin and digestive with central nervous system injury as the main clinical manifestations, can be accompanied by damage to various organs. In this paper, treatment process of 3 patients acute trimethyltin poisoning was reviewed, their auxiliary examination, diagnosis were analyzed. Three misdiagnosed mental abnormality, encephalitis, hepatic encephalopathy in different hospitals early stage medical...