Subsurface Channel Detection Using Color Blending of Seismic Attribute Volumes

Jianhua Cao,Yang Yue,Kunyu Zhang,Jucheng Yang,Xiankun Zhang 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.12

Color is the critical factor in seismic data interpretation and geological targets visualization. And recently, ideas of color blending have brought the enlightenment in attribute combinations for reservoir characterization in petroleum engineering. In this paper, we present this approach of color blending in different color modes and its application in subsurface channel detection by using seismic attributes data. The color models include RGB model, CMY model and HSV model. We firstly calculate sensitive attributes from three dimensional seismic data, including envelop, coherence and spectral decomposition, etc. Then three types of normalized seismic attributes are set as input into the primary color channel of the color models respectively, and then mixed together to create one color blended volume in three dimensional visualization environment. The blended volume has plenty of geological information coming from the three input attributes, resulting in better resolution for channels than the single attribute. Applications in one survey of DQ oilfield show that channels are vividly imaged with special lighted color on the blended volume slices. The spatial distribution characteristics of channels, including the shapes and branches, are clearly depicted. And for the three blending methods, the RGB model is mostly preferred although the CMY model has almost similar performances in channel detection, while HSV model is slightly inferior in this case.

Effect of Interchain Hydrogen Bond on the Water Solubility and Mechanical Properties of PLGA/PEO Blend

Jianhua Yang,Zhean Xia,Mingjian Cao,Xiangxin Ran 한국고분자학회 2020 폴리머 Vol.44 No.4

Polyethylene oxide (PEO) possesses poor mechanical properties, which limits its application. For the purpose of improving the mechanical properties of water-soluble films, blend of polylactic glycolic acid (PLGA) with PEO was prepared by melt blending. The hydrogen bonding between PEO and PLGA was investigated by Fourier transform infrared spectrometer. The crystallization behavior, water solubility, and mechanical properties were evaluated. The results showed that there was a hydrogen bonding force between PLGA and PEO, and this force can improve the mechanical strength and water absorption of the film. When the PLGA content reached 20 wt%, the tensile strength and the elongation at break achieved a maximum 26.1MPa and 771.2%, respectively. Compared to neat PEO, blend with 10 wt% of PLGA had considerably higher water absorption capacity. When the PLGA content was 40 wt%, the film would not disperse in water.

A kind of core cross-linked ‘‘semi-amphiphilic” polymer assemblies for controlled release of corrosion inhibitors and autonomous corrosion alarm

Ying Cao,Aoqi Zhu,Jianmin He,Jianhua Wu,Mingjin Xue,Yiting Xu,Birong Zeng,Guorong Chen,Lizong Dai 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.115 No.-

A novel kind of core cross-linked assemblies formed from a ‘‘semi-amphiphilic” block copolymer, poly(syringaldehyde methacrylate)-block-poly (dopamine methacrylate-co-methyl methacrylate-costyrene)(PSMA-b-P(DMA-co-MMA-co-St)), was designed and served as the carrier for anti-corrosiveand corrosion detective molecules. Different from the core cross-linked micelles formed by the amphiphilicpolymers in water, the core cross-linked assemblies in this research were formed from the ‘‘semiamphiphilic”block copolymer, which took advantage of the different compatibility between epoxy andthe blocks in the polymer, leading to the self-assembly behavior happening in the organic resin, whilethey shared the advantages of traditional core cross-linked micelles with the properties of being stable,stimuli-responsive and multifunctional. The pH-responsive properties of the assemblies and their complexationwith Fe3+ caused by the corrosion of the steel were confirmed by UV spectrophotometry andXPS analysis of the corrosive products. The controlled release of corrosion inhibitors was fully reflectedby the expansion of the capacitor ring and the increase of the coating resistance (Rc) with the extensionof the immersion time, which was got via fitting the electrochemical impedance spectroscopy (EIS) datawith the equivalent electric circuits. Ultimately, the anti-corrosive mechanism of smart coating with thefunctional core cross-linked assemblies were also illustrated.

Synergistic effect of micro-textures and MoS2 on the tribological properties of PTFE film against GCr15 bearing steel

Xuan Xie,Xijun Hua,Jianhua Li,Xiaobin Cao,Zhixiang Tian,Rui Peng,Bifeng Yin,Peiyun Zhang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.5

To enhance the friction and wear resistance of GCr15/PTFE sliding contact surfaces, the synergistic lubrication effect of micro-textures and solid lubricants were studied in this paper. Micro-textures were processed on GCr15 samples by Nd:YAG laser, which were filled with MoS 2 . Tribological performance tests were carried out on a Rtec-MFT 5000 tester. Tribological properties were optimal with the textures density of 20 % and depth of 9 μm. A continuous composite solid lubricating film was formed by PTFE and MoS 2 . As load increases, friction coefficient of the sample shows a rapid decline and then stabilizes. With the increase of reciprocating frequency, friction curve of the sample shows a trend of slight fluctuation. When frequency is 2.7 Hz, friction coefficient is the lowest. Tribological properties of PTFE/GCr15 contact surfaces could be significantly optimized by micro-textures and MoS 2 , which performs favorable prospect of engineering application such as guide rails, bearings, machinery seal, etc.

Weak fault feature extraction of rolling bearing under strong poisson noise and variable speed conditions

Qiang Ma,Shuqian Cao,Tao Gong,Jianhua Yang 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.11

Fault feature extraction of the rolling bearing under strong background noise is always a difficult problem in bearing fault diagnosis. At present, most of the research focuses on weak signal extraction under Gaussian white noise and has certain practical significance. However, the noise in engineering is often complex and changeable, Gaussian white noise cannot fully simulate the actual strong background noise. Poisson white noise is a type of typical non-Gaussian noise, which widely exists in complex mechanical impact. It is of great significance to study the weak fault feature extraction of a faulty bearing under this type of noise. At the same time, variable speed conditions occupy most rotating machinery speed conditions. Non-stationary vibration signals make it difficult to extract fault features, and the frequency spectrum ambiguity will occur because of speed fluctuation. To solve the above problems, a method of weak feature extraction of a faulty bearing based on computed order analysis (COA) and adaptive stochastic resonance (SR) is proposed. Firstly, by numerical simulation, the nonstationary fault characteristic signal corrupted with strong Poisson noise is transformed into a stationary signal in the angle domain by COA. Secondly, the influence of the parameters of the pulse arrival rate and noise intensity of Poisson white noise on the optimal SR response in the angle domain are studied, and the influence of the parameters of Poisson white noise on the fault feature extraction is given. Then, adaptive SR method is used to extract and enhance fault feature information. Finally, the effectiveness of this method in weak fault characteristic signal extraction under strong Poisson noise is verified by experiments. Numerical simulation and experimental results verify the effectiveness of the proposed method in bearing fault diagnosis under strong Poisson noise and variable speed conditions.

An Online Learning Model of Mobile User Preference Based on Context Quantification

Yancui Shi,Congcong Xiong,Jucheng Yang,Yarui Chen,Jianhua Cao 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.9

In mobile network, the mobile user has the strict requirement for the performance of accessing the information. In order to provide the personalized service for mobile user timely and accurately, an online learning model of mobile user preference based on context quantification is proposed. In the model, a context quantification method is proposed, which can enhance the accuracy of learned mobile user preference; and the sliding window and the online extreme leaning machine (O-ELM) are introduced to realize the online learning. Firstly, it needs to judge whether the mobile user preference is affected by the context through analyzing the mobile user behaviors. Secondly, the context is quantified according to the context relevancy and the context similarity. And then, the sliding window is employed to select the samples that need to be learned when updating the mobile user preference. Finally, O-ELM is employed to learn the mobile user preference. The experimental results show that the proposed method surpasses the existing methods in the performance.

Development of Testing Device for Critical Current Measurements for HTS/LTS

Qiuliang Wang,Yinming Dai,Baozhi Zhao,Shousen Song,Zhiqiang Cao,Shunzhong Chen,Quan Zhang,Housheng Wang,Junsheng Cheng,Yuanzhong Lei,Bai Ye,Xian Li,Jianhua Liu,Shangwu Zhao,Hongjie Zhang,Xinning Hu,Ch IEEE 2009 IEEE transactions on applied superconductivity Vol.19 No.3

<P>For the goal of superconducting magnet applications in the advanced testing device for high temperature superconducting (HTS) wire and sample coils, a wide bore conduction-cooled superconducting magnet with available warm bore of phi 186 mm and center field of 5 T for the background magnetic field applications was designed and fabricated and tested. A sample cryostat with two GM cryocoolers is inserted in the background magnet. The system allows measurements to be performed in a repeatable and reliable fashion. The detailed design, fabrication and thermal analysis are presented in the paper.</P>

Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer

Xueyi Zheng,Yini Huang,Yubo Liu,Yun Wang,Rushuang Mao,Fei Li,Longhui Cao,Jianhua Zhou 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.2

Objective: To determine the added value of a shear-wave elastography (SWE) quality map (QM) in the diagnosis of breast lesions and in predicting the biological characteristics of invasive breast cancer. Materials and Methods: Between January 2016 and February 2019, this study included 368 women with 368 pathologically proven breast lesions, which appeared as poor-quality regions in the QM of SWE. To measure shear-wave velocity (SWV), seven regions of interest were placed in each lesion with and without QM guidance. Under QM guidance, poor-quality areas were avoided. Diagnostic performance was calculated for mean SWV (SWVmean), max SWV (SWVmax), and standard deviation (SD) with QM guidance (SWVmean + QM, SWVmax + QM, and SD + QM, respectively) and without QM guidance (SWVmean - QM, SWVmax - QM, and SD - QM, respectively). For invasive cancers, the relationship between SWV findings and biological characteristics was investigated with and without QM guidance. Results: Of the 368 women (mean age, 47 years; SD, 10.8 years) enrolled, 159 had benign breast lesions and 209 had malignant breast lesions. SWVmean + QM (3.6 ± 1.39 m/s) and SD + QM (1.02 ± 0.84) were significantly different from SWVmean - QM (3.29 ± 1.22 m/s) and SD - QM (1.46 ± 1.06), respectively (all p < 0.001). For differential diagnosis of breast lesions, the sensitivity and areas under the receiver operating characteristic curve (AUC) of SWVmean + QM (sensitivity: 89%; AUC: 0.932) were better than those of SWVmean - QM (sensitivity, 84.2%; AUC, 0.912) (all p < 0.05). There was no significant difference in sensitivity and specificity between SD + QM and SD - QM (all p = 1.000). Among the biological characteristics of invasive cancers, lymphovascular involvement, axillary lymph node metastasis, negative estrogen receptor status, negative progesterone receptor status, positive human epidermal growth factor receptor status, and aggressive molecular subtypes showed higher SWVmean + QM (all p < 0.05), while only lymphovascular involvement showed higher SWVmean - QM (p = 0.036). Conclusion: The use of QM in SWE might improve the diagnostic performance for breast lesions and facilitate prediction of the biological characteristics of invasive breast cancers.