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Seismic impedance inversion based on cycle-consistent generative adversarial network

Petroleum Science 2022年第1期19卷 147-161页

作者： Yu-Qing Wang Qi Wang Wen-Kai Lu Qiang Ge xin-fei yan The Institute for Artificial Intelligence Tsinghua University(THUAI)Beijing100084China State Key Laboratory of Intelligent Technology and Systems Tsinghua UniversityBeijing100084China Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing100084China The Department of Automation Tsinghua UniversityBeijing100084China The Research Institute of Petroleum Exploration and Development China National Petroleum Corporation(CNPC)Beijing100083China

Deep learning has achieved great success in a variety of research fields and industrial ***,when applied to seismic inversion,the shortage of labeled data severely influences the performance of deep learning-based *** order to tackle this problem,we propose a novel seismic impedance inversion method based on a cycle-consistent generative adversarial network(Cycle-GAN).The proposed Cycle-GAN model includes two generative subnets and two discriminative *** kinds of loss,including cycle-consistent loss,adversarial loss,and estimation loss,are adopted to guide the training *** from the proposed structure,the information contained in unlabeled data can be extracted,and adversarial learning further guarantees that the prediction results share similar distributions with the real ***,a neural network visualization method is adopted to show that the proposed CNN model can learn more distinguishable features than the conventional CNN *** robustness experiments on synthetic data sets show that the proposed method can achieve better performances than other methods in most *** the blind-well experiments on real seismic profiles show that the predicted impedance curve of the proposed method maintains a better correlation with the true impedance curve.

关键词： Seismic inversion Cycle GAN Deep learning Semi-supervised learning Neural network visualization

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3D rock physics template-based probabilistic estimation of tight sandstone reservoir properties

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Petroleum Science 2024年第5期21卷 3090-3101页

作者： Hao-Jie Pan Chao Wei xin-fei yan Xiao-Ming Li Zhi-Fang yang Zhi-Xian Gui Shu-Xian Liu College of Geophysics and Petroleum Resources Yangtze University Research Institute of Petroleum Exploration and Department Petrochina

Quantitative prediction of reservoir properties(e.g., gas saturation, porosity, and shale content) of tight reservoirs is of great significance for resource evaluation and well placements. However, the complex pore structures, poor pore connectivity, and uneven fluid distribution of tight sandstone reservoirs make the correlation between reservoir parameters and elastic properties more complicated and thus pose a major challenge in seismic reservoir characterization. We have developed a partially connected double porosity model to calculate elastic properties by considering the pore structure and connectivity, and to analyze these factors' influences on the elastic behaviors of tight sandstone reservoirs. The modeling results suggest that the bulk modulus is likely to be affected by the pore connectivity coefficient, while the shear modulus is sensitive to the volumetric fraction of stiff pores. By comparing the model predictions with the acoustic measurements of the dry and saturated quartz sandstone samples, the volumetric fraction of stiff pores and the pore connectivity coefficient can be determined. Based on the calibrated model, we have constructed a 3D rock physics template that accounts for the reservoir properties' impacts on the P-wave impedance, S-wave impedance, and density. The template combined with Bayesian inverse theory is used to quantify gas saturation, porosity, clay content, and their corresponding uncertainties from elastic parameters. The application of well-log and seismic data demonstrates that our 3D rock physics template-based probabilistic inversion approach performs well in predicting the spatial distribution of high-quality tight sandstone reservoirs in southwestern China.

关键词： Tight sandstones Pore structure 3D rock physics template Seismic inversion Reservoir property estimation

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Simultaneously quantification of ginsenoside Rb1,Rb2,Rc,Rd,Re,Rf,Rg1 in dog plasma by liquid chromatography-tandem mass spectrometry and its application in six-month toxicokinetic study of Shenmai injection

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中国药理学与毒理学杂志 2013年第3期 560-561页

作者： YU Jian GU Li-qiang xin yan-fei GAO Hai-yan XU Pan-sheng MA Zhu-feng YOU Zhen-qiang ZHANG Sheng WANG Zhi XUAN Yao-xian Center of Safety Evaluation Zhejiang Academy of Medical Sciences Chiatai QingChunbao Pharmaceutical Co. Ltd.

OBJECTIVE Shenmai injection(SMI) is a kind of herbal injection widely used in China derived from SHENMAI *** is the alcohol extraction part of Panax ginseng and Ophiopogon ***’s generally accepted that ginsenosides are the major components in SMI according to their abundance and *** In order to monitor the kinetic profile of major components in SMI during long-term treatment and to further analyze its connection to toxic effect,a 6-month toxicokinetic experiment was performed in 24 beagle *** were equally and randomly divided into four groups: control group(0.9% NaCl solution per day;n = 6),low-dosage Group(2 g·kg-1 per day;n = 6),medium-dosage Group(6 g·kg-1 per day;n = 6) and High-dosage Group(20 g·kg-1 per day;n = 6).Vehicle and SMI were *** injected everyday for 180 continuous days(6 months).Blood sample were collected at 0,90,180 d after the beginning of the administration of *** concentration of ginsenoside Rb1,Rb2,Rc,Rd,Re,Rf and Rg1 in plasma were determined simultaneously for the first time by liquid chromatography-tandem mass spectrometry(LC-MS /MS) and liquid-liquid extraction ***-compartmental parameters were further simultaneously calculated and ***,the level of bodyweight,AST,ALT and CK were also monitored to evaluate the toxic effect caused by *** According to the results,significant differences existed between 20(S)-protopanaxadiol type(PPD type) and 20(S)-protopanaxatriol type(PPT type) *** accumulation of ginsenoside PPD type ginsenosides can be observed with the proceeding of the *** long-term administration of 6 g /mL and 20 ***-1 SMI caused a slowing down in the growth of bodyweights,no toxic effect could be reviewed from the level of ALT,AST and *** Although no significant toxic effect could be observed during the toxicokinetic study,the kinetic profile of PPD type ginsenoside was severely *** SMI is wild used in the co-

关键词： Shenmai injection toxicokinetics ESI-LC-MS /MS ginsenosides

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Prognostic model for esophagogastric variceal rebleeding after endoscopic treatment in liver cirrhosis: A Chinese multicenter study

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World Journal of Gastroenterology 2025年第2期31卷 85-101页

作者： Jun-Yi Zhan Jie Chen Jin-Zhong Yu fei-Peng Xu fei-fei xing De-xin Wang Ming-yan yang Feng xing Jian Wang Yong-Ping Mu Cell Biology Laboratory Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China Institute of Liver Diseases Shanghai Academy of Chinese MedicineShanghai 201203China Clinical Key Laboratory of Traditional Chinese Medicine of Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China Key Laboratory of Liver and Kidney Disease of the Ministry of Education Shanghai University of Traditional Chinese MedicineShanghai 201203China Department of Gastroenterology and Hepatology Zhongshan Hospital Affiliated to Fudan UniversityShanghai 200032China Shanghai Institute of Liver Disease Fudan UniversityShanghai 200032China Evidence-Based Medicine Center Fudan UniversityShanghai 200032China Department of Gastrointestinal Endoscopy Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China Department of Hepatology Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China

BACKGROUND Rebleeding after recovery from esophagogastric variceal bleeding(EGVB)is a severe complication that is associated with high rates of both incidence and *** its clinical importance,recognized prognostic models that can effectively predict esophagogastric variceal rebleeding in patients with liver cirrhosis are *** To construct and externally validate a reliable prognostic model for predicting the occurrence of esophagogastric variceal *** This study included 477 EGVB patients across 2 cohorts:The derivation cohort(n=322)and the validation cohort(n=155).The primary outcome was rebleeding events within 1 *** least absolute shrinkage and selection operator was applied for predictor selection,and multivariate Cox regression analysis was used to construct the prognostic *** validation was performed with bootstrap *** assessed the discrimination,calibration and accuracy of the model,and performed patient risk *** Six predictors,including albumin and aspartate aminotransferase concentrations,white blood cell count,and the presence of ascites,portal vein thrombosis,and bleeding signs,were selected for the rebleeding event prediction following endoscopic treatment(REPET)*** predicting rebleeding within 1 year,the REPET model ex-hibited a concordance index of 0.775 and a Brier score of 0.143 in the derivation cohort,alongside 0.862 and 0.127 in the validation ***,the REPET model revealed a significant difference in rebleeding rates(P<0.01)between low-risk patients and intermediate-to high-risk patients in both *** We constructed and validated a new prognostic model for variceal rebleeding with excellent predictive per-formance,which will improve the clinical management of rebleeding in EGVB patients.

关键词： Esophagogastric variceal bleeding Variceal rebleeding Liver cirrhosis Prognostic model Risk stratification Secondary prophylaxis

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D型氨基酸氧化酶活性对于D-硝基精氨酸手性转化的影响

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生物化学与生物物理进展 2006年第2期33卷 135-139页

作者：辛艳飞周向军王永祥上海交通大学药学院分子药理实验室上海200030

D-硝基精氨酸(D-NNA)可在大鼠体内发生手性转化生成其L型异构体,即L-NNA,后者可抑制一氧化氮合酶活性,减少一氧化氮生成,升高动脉血压.研究了D型氨基酸氧化酶(DAAO)在D-NNA手性转化中的作用及DAAO对不同(包括已报道在体内可发生手型转化... 详细信息

D-硝基精氨酸(D-NNA)可在大鼠体内发生手性转化生成其L型异构体,即L-NNA,后者可抑制一氧化氮合酶活性,减少一氧化氮生成,升高动脉血压.研究了D型氨基酸氧化酶(DAAO)在D-NNA手性转化中的作用及DAAO对不同(包括已报道在体内可发生手型转化的)D型氨基酸的选择活性.体内实验显示,DAAO的选择性抑制剂苯甲酸钠(400mg/kg)或肌酐(400mg/kg)均可在不同程度上抑制D-NNA升压作用,进一步研究发现,肾脏或肝脏DAAO酶液在外加DAAO后可提高D-NNA的手性转化约2倍,表明DAAO对于D-NNA在体内的手性转化是必需的.DAAO酶液对可在体内发生手性转化且转化率相似(30%～50%)的D型氨基酸(D-Phe,D-Leu和D-NNA)的选择性表现出显著差异(Kcat/Km相差可达约15倍左右),这从另一方面表明体内D-硝基精氨酸氧化是其发生手性转化的前提条件但非决定因素.

关键词： D-硝基精氨酸 D型氨基酸氧化酶 D型氨基酸手性转化

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番茄红素对高脂血症大鼠血凝及纤溶的影响

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时珍国医国药 2007年第1期18卷 88-89页

作者：邓祖跃辛艳飞浙江省药品检验所浙江杭州310004 浙江省医学科学院浙江杭州310013

目的研究番茄红素(lycopene,LP)对高脂血症大鼠血脂、血凝及纤溶的影响。方法建立大鼠的高脂血症模型,同时连续ig给予LP(20 mg/kg)或空白溶媒30 d,测定大鼠血浆总胆固醇(TC)、甘油三酯(TG)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆... 详细信息

目的研究番茄红素(lycopene,LP)对高脂血症大鼠血脂、血凝及纤溶的影响。方法建立大鼠的高脂血症模型,同时连续ig给予LP(20 mg/kg)或空白溶媒30 d,测定大鼠血浆总胆固醇(TC)、甘油三酯(TG)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、凝血酶原时间(prothromb in tim e,PT)、活化部分凝血活酶时间(activated partialthrombp lastin tim e,APTT)、组织型纤溶酶原激活物(tissue p lasm inogen activator,t-PA)活性及纤溶酶原激活物抑制剂1(p lasm inogen activator inh ib itor1,PAI-1)活性。结果与饲HFD组比较,饲HFD大鼠在连续ig给予LP(20 mg/kg)30 d后,大鼠血浆TG含量平均下降27%,TC含量平均下降21%,LDL-C含量平均下降39%,HDL-C含量平均增加24%;血浆APTT显著延长而PAI-1活性降低(P<0.05),t-PA活性显著增加(P<0.01)。结论番茄红素不但能有效降低高脂血症大鼠血脂,而且可能通过防止脂质过氧化而有效改善动物血凝系统。

关键词：番茄红素高脂血症血凝纤维蛋白溶解

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自噬在多柔比星所致心脏毒性中的作用研究进展

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中国药理学与毒理学杂志 2017年第9期31卷 923-926页

作者：张升杨林由振强辛艳飞浙江省医学科学院安全性评价研究中心浙江杭州310013 浙江工业大学长三角绿色制药协同创新中心浙江杭州310014

多柔比星是一种广谱高效的抗肿瘤药物,但其心脏毒性是限制其临床应用的主要原因之一。多柔比星致心脏毒性的机制尚不完全清楚,通常认为与活性氧增加、线粒体损伤和细胞凋亡等机制相关。细胞自噬是一类依赖于溶酶体的蛋白质降解途径。近... 详细信息

多柔比星是一种广谱高效的抗肿瘤药物,但其心脏毒性是限制其临床应用的主要原因之一。多柔比星致心脏毒性的机制尚不完全清楚,通常认为与活性氧增加、线粒体损伤和细胞凋亡等机制相关。细胞自噬是一类依赖于溶酶体的蛋白质降解途径。近年来大量研究证实,自噬在多柔比星所致心脏毒性中具有重要作用。本文主要回顾自噬在多柔比星所致心脏毒性中的作用。

关键词：多柔比星心脏毒性自噬

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基于改进支持向量机方法的蛋白质相互作用预测

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中国生物医学工程学报 2009年第5期28卷 701-706页

作者：李哲谦刘书朋严壮志辛艳飞上海大学通信与信息工程学院上海大学生物医学工程研究所上海200072 浙江省医学科学院杭州310013

蛋白质与蛋白质相互作用研究是蛋白质组学的重要研究内容之一。本研究采用支持向量机学习方法,将氨基酸物理化学特性和序列信息方法相结合构建支持向量,选取DIP数据库中的酵母表达蛋白序列进行蛋白质相互作用预测。在34 000对酵母表达... 详细信息

蛋白质与蛋白质相互作用研究是蛋白质组学的重要研究内容之一。本研究采用支持向量机学习方法,将氨基酸物理化学特性和序列信息方法相结合构建支持向量,选取DIP数据库中的酵母表达蛋白序列进行蛋白质相互作用预测。在34 000对酵母表达蛋白实验数据中,预测准确率达到83.72%,而单独运用基于氨基酸物理化学特性的方法和基于序列信息的方法预测准确率分别为75.86%和79.63%。在提高预测准确率的同时通过引入离散信息度量函数(FDOD)减少支持向量的维数,使支持向量学习时间缩短,提高相互作用预测的速度。

关键词：蛋白质-蛋白质相互作用支持向量机离散信息度量函数

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