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Machine learning for carbonate formation drilling: Mud loss prediction using seismic attributes and mud loss records

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Petroleum Science 2024年第2期21卷 1241-1256页

作者： hui-Wen Pang Han-Qing Wang Yi-Tian Xiao Yan Jin yun-hu Lu Yong-Dong Fan Zhen Nie National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China College of Science China University of Petroleum-BeijingBeijing102249China Petroleum Exploration and Production Research Institute SINOPECBeijing102206China College of Petroleum Engineering China University of Petroleum-BeijingBeijing102249China Research Institute of Petroleum Exploration and Development CNPCBeijing100083China

Due to the complexity and variability of carbonate formation leakage zones, lost circulation prediction and control is one of the major challenges of carbonate drilling. It raises well-control risks and production expenses. This research utilizes the H oilfield as an example, employs seismic features to analyze mud loss prediction, and produces a complete set of pre-drilling mud loss prediction solutions. Firstly, 16seismic attributes are calculated based on the post-stack seismic data, and the mud loss rate per unit footage is specified. The sample set is constructed by extracting each attribute from the seismic trace surrounding 15 typical wells, with a ratio of 8:2 between the training set and the test set. With the calibration results for mud loss rate per unit footage, the nonlinear mapping relationship between seismic attributes and mud loss rate per unit size is established using the mixed density network ***, the influence of the number of sub-Gausses and the uncertainty coefficient on the model's prediction is evaluated. Finally, the model is used in conjunction with downhole drilling conditions to assess the risk of mud loss in various layers and along the wellbore trajectory. The study demonstrates that the mean relative errors of the model for training data and test data are 6.9% and 7.5%, respectively, and that R2is 90% and 88%, respectively, for training data and test data. The accuracy and efficacy of mud loss prediction may be greatly enhanced by combining 16 seismic attributes with the mud loss rate per unit footage and applying machine learning methods. The mud loss prediction model based on the MDN model can not only predict the mud loss rate but also objectively evaluate the prediction based on the quality of the data and the model.

关键词： Lost circulation Risk prediction Machine learning Seismic attributes Mud loss records

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Linearized waveform inversion for vertical transversely isotropic elastic media:Methodology and multi-parameter crosstalk analysis

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Petroleum Science 2024年第1期21卷 252-271页

作者： Ke Chen Lu Liu Li-Nan Xu Fei hu Yuan Yang jia-hui Zuo Le-Le Zhang Yang Zhao National Key Laboratory of Petroleum Resources and Engineering Unconventional Petroleum Research InstituteChina University of Petroleum(Beijing)Beijing102249China Aramco Beijing Research Center Aramco AsiaBeijing100102China University of Lausanne LausanneCH-1015Switzerland Bureau of Geophysical Prospecting China National Petroleum CorporationZhuozhou 072750HebeiChina

Seismic migration and inversion are closely related techniques to portray subsurface images and identify hydrocarbon *** migration aims at obtaining structural images of subsurface geologic *** specifically,seismic migration estimates the reflectivity function(stacked average reflectivity or pre-stack angle-dependent reflectivity)from seismic reflection *** the other hand,seismic inversion quantitatively estimates the intrinsic rock properties of subsurface *** seismic inversion methods are applicable to detect hydrocarbon reservoirs that may exhibit lateral variations in the inverted *** there exist many differences,pre-stack seismic migration is similar with the first iteration of the general linearized seismic ***,seismic migration and inversion techniques assume an acoustic or isotropic elastic *** reservoirs such as shale and tight sand formation have notable anisotropic *** present a linearized waveform inversion(LWI)scheme for weakly anisotropic elastic media with vertical transversely isotropic(VTI)*** is based on two-way anisotropic elastic wave equation and simultaneously inverts for the localized perturbations(ΔVp_(0)/Vp_(0)/Vs_(0)/Vs_(0)/,Δ∈,Δδ)from the long-wavelength reference *** proposed VTI-elastic LWI is an iterative method that requires a forward and an adjoint operator acting on vectors in each *** derive the forward Born approximation operator by perturbation theory and adjoint operator via adjoint-state *** inversion has improved the quality of the images and reduces the multi-parameter crosstalk comparing with the adjoint-based *** have observed that the multi-parameter crosstalk problem is more prominent in the inversion images for Thomsen anisotropy ***,the Thomsen parameter is the most difficult to *** also analyze the multi-parameter crosstalk using scattering radiation patte

关键词： Elastic Anisotropy Least-squares imaging Waveform inversion Computational geophysics

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Enhancing the Interaction of Carbon Nanotubes by Metal-Organic Decomposition with Improved Mechanical Strength and Ultra-Broadband EMI Shielding Performance

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Nano-Micro Letters 2024年第7期16卷 281-294页

作者： Yu-Ying Shi Si-Yuan Liao Qiao-Feng Wang Xin-yun Xu Xiao-yun Wang Xin-Yin Gu You-Gen hu Peng-Li Zhu Rong Sun Yan-Jun Wan Shenzhen Institute of Advanced Electronic Materials Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055People’s Republic of China Southern University of Science and Technology Shenzhen 518055People’s Republic of China National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050People’s Republic of China

The remarkable properties of carbon nanotubes(CNTs)have led to promising applications in the field of electromagnetic inter-ference(EMI)***,for macroscopic CNT assemblies,such as CNT film,achieving high electrical and mechanical properties remains challenging,which heavily depends on the tube-tube interac-tions of ***,we develop a novel strategy based on metal-organic decomposition(MOD)to fabricate a flexible silver-carbon nanotube(Ag-CNT)*** Ag particles are introduced in situ into the CNT film through annealing of MOD,leading to enhanced tube-tube *** a result,the electrical conductivity of Ag-CNT film is up to 6.82×10^(5) S m^(-1),and the EMI shielding effectiveness of Ag-CNT film with a thickness of~7.8μm exceeds 66 dB in the ultra-broad frequency range(3-40 GHz).The tensile strength and Young’s modulus of Ag-CNT film increase from 30.09±3.14 to 76.06±6.20 MPa(~253%)and from 1.12±0.33 to 8.90±0.97 GPa(~795%),***,the Ag-CNT film exhibits excellent near-field shield-ing performance,which can effectively block wireless *** innovative approach provides an effective route to further apply macroscopic CNT assemblies to future portable and wearable electronic devices.

关键词： EMI shielding Mechanical strength Carbon nanotubes Metal-organic decomposition Flexibility

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High-entropy oxide-supported platinum nanoparticles for efficient hydrogen evolution reaction

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Rare Metals 2024年第4期43卷 1537-1546页

作者： Ming-Yu Fan jia-Jun Wang Jun Zhao Hong Zhang Tian-Yi Ma Xiao-Peng Han Wen-Bin hu School of Materials Science and Engineering Tianjin Key Laboratory of Composite and Functional Materials Key Laboratory of Advanced Ceramics and Machining TechnologyTianjin UniversityTianjin300350China Joint School of National University of Singapore and Tianjin University International Campus of Tianjin UniversityFuzhou350207China School of Science RMIT UniversityMelbourneVIC3000Australia

High-entropy oxides(HEOs)are a new class of single-phase structures with unique electronic and catalytic properties;therefore,it is worthwhile to explore their applications in *** this study,a Pt/(FeCoNiCrAl)_(3)O_(4)nanohybrid using HEO as a support was developed as an efficient catalyst for the hydrogen evolution reaction(HER).Pt/(FeCoNiCrAl)_(3)O_(4)exhibited high HER activity with a low overpotential of 22 mV at10 mA·cm^(-2),outperforming other binary,ternary,and quaternary *** HER activity of Pt/(FeCoNiCrAl)_(3)O_(4)was higher than that of a commercial Pt/C with a significantly lower Pt *** catalyst exhibited good activity and long-term stability(60 h)in an electrolytic water-splitting *** good activity can be attributed to the fact that the introduction of Pt effectively facilitates electronic interactions between Pt and the *** addition,the HEO substrate was more favorable for dispersing Pt particles,optimizing the electrochemical specific surface area,and significantly reducing the charge resistance of the *** study extends the application of HEOs in electrocatalysis and demonstrates the promising prospects of HEOs as supports for electrocatalysts.

关键词： High-entropy oxides Hydrogen evolution reaction Nanohybrid Water electrolysis

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Electrochemical chemoselective thiocarbamylation of late-stage Tyr-containing drugs and peptides

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Science China Chemistry 2024年第10期67卷 3382-3388页

作者： Wan-Jie Wei Xin-Yu Wang Hai-Tao Tang Fei-hu Cui yun-Qi Wu Ying-Ming Pan State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources(Ministry of Education of China)Collaborative Innovation Center for Guangxi Ethnic MedicineSchool of Chemistry and Pharmaceutical SciencesGuangxi Normal UniversityGuilin 541004China

The synthesis and modification of peptides occupy a unique position in the field of drug development,and the functionalization of amino acids is a valuable strategy as an alternative to peptide ***,the development of tyrosine(Tyr)as a target amino acid is a major challenge in the field of ***,we report an electrochemical radical coupling reaction of labeling tyrosine-containing active drugs and peptides with thiocarbamate derivatives for the first *** tri-component,onepot reaction can be performed smoothly under simple,gentle,and clean electrochemical conditions and is suitable for the functionalization of various Tyr-containing drug molecular derivatives and peptides.

关键词： tyrosine electrochemical radical coupling chemical modification peptides

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Clinical usefulness of the baby vision test in young children and its correlation with the Snellen chart

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International Journal of Ophthalmology(English edition) 2024年第2期17卷 348-352页

作者： Ya-Lan Wang jia-Jun Wang Xi-Cong Lou Han Zou yun-E Zhao The Eye Hospital of Wenzhou Medical University Hangzhou 310000Zhejiang ProvinceChina National Clinical Research Center for Ocular Diseases Wenzhou 325027Zhejiang ProvinceChina

AIM:To investigate the efficacy of a new visual acuity(VA)screening method,the baby vision test for young ***:A total 105 eyes of 65 children aged 2-8y were included in the *** testing was conducted using a standardized recognition acuity chart(Snellen visual chart:at 3 m)and the baby vision model *** baby vision device includes a screen,a near infrared camera and a *** were seated at a measured distance of 33-40 cm from a display for *** was estimated according to the highest resolution the children could *** VA data were converted to logarithm of the minimum angle of resolution(logMAR)for statistical *** VA results for each child were recorded and analyzed for ***:The mean VA measured using the Snellen visual chart was 0.62±0.32,and that assessed using the baby vision test was 0.66±*** 95%limit of agreement was-0.609 to 0.695,with 95.2%(100/105)plots within the 95%limits of *** values of the baby vision test were significantly correlated with those of the Snellen chart(R=0.274,P=0.005).CONCLUSION:The baby vision test can be used as a relatively reliable method for estimating VA in young *** new acuity assessment might be a valid predictor of optotype-measured acuity later in preverbal children.

关键词： baby vision test acuity assessment fix-and-follow system Snellen chart

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Filling the gaps in icosahedral superatomic metal clusters

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National Science Review 2024年第7期11卷 168-176页

作者： Wei-Miao He jia-hua hu Yu-jia Cui Jing Li Yu-Bing Si Shuai-Bo Wang Yu-Jing Zhao Zhan Zhou Lu-Fang Ma Shuang-Quan Zang College of Chemistry Zhengzhou University School of Science Xuchang University College of Chemistry and Chemical Engineering Henan Key Laboratory of Function-Oriented Porous MaterialsLuoyang Normal University

Chemically modified superatoms have emerged as promising candidates in the new periodic table, in which Au13and its doped M_nAu13-nhave been widely studied. However, their important counterpart, Ag13artificial element, has not yet been synthesized. In this work, we report the synthesis of Ag13nanoclusters using strong chelating ability and rigid ligands, that fills the gaps in the icosahedral superatomic metal clusters. After further doping Ag13template with different degrees of Au atoms, we gained insight into the evolution of their optical properties. Theoretical calculations show that the kernel metal doping can modulate the transition of the excited-state electronic structure, and the electron transfer process changes from local excitation（LE） to charge transfer（CT） to LE. This study not only enriches the families of artificial superatoms, but also contributes to the understanding of the electronic states of superatomic clusters.

关键词： icosahedral superatomic metal clusters analog clusters photoluminescence alloying near-infrared quantum yield

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Identification of a novel inflammatory-related gene signature to evaluate the prognosis of gastric cancer patients

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 945-967页

作者： jia-Li hu Mei-Jin huang Halike Halina Kun Qiao Zhi-Yuan Wang jia-Jie Lu Cheng-Liang Yin Feng Gao Department of Gastroenterology People's Hospital of Xinjiang Uygur Autonomous RegionUrumqi 830001Xinjiang Uygur Autonomous RegionChina Xinjiang Clinical Research Center for Digestive Disease Urumqi 830001Xinjiang Uygur Autonomous RegionChina Department of Oncology 920th Hospital of PLA Joint Logistics Support ForceKunming 650032Yunnan ProvinceChina Faculty of Medicine Macao University of Science and TechnologyMacao 999078China

BACKGROUND Gastric cancer(GC)is a highly aggressive malignancy with a heterogeneous nature,which makes prognosis prediction and treatment determination *** is now recognized as one of the hallmarks of cancer and plays an important role in the aetiology and continued growth of *** also affects the prognosis of GC *** reports suggest that a number of inflammatory-related biomarkers are useful for predicting tumour ***,the importance of inflammatory-related biomarkers in predicting the prognosis of GC patients is still *** To investigate inflammatory-related biomarkers in predicting the prognosis of GC *** constructed using the least absolute shrinkage and selection operator Cox regression model based on the GEO *** patients from the GSE26253 cohort were used for *** and multivariate Cox analyses were used to determine the independent prognostic factors,and a prognostic nomogram was *** calibration curve and the area under the curve based on receiver operating characteristic analysis were utilized to evaluate the predictive value of the *** decision curve analysis results were plotted to quantify and assess the clinical value of the *** set enrichment analysis was performed to explore the potential regulatory pathways *** relationship between tumour immune infiltration status and risk score was analysed via Tumour Immune Estimation Resource and ***,we analysed the association between risk score and patient sensitivity to commonly used chemotherapy and targeted therapy *** A prognostic model consisting of three inflammatory-related genes(MRPS17,GUF1,and PDK4)was *** prognostic analysis revealed that the risk score was a separate prognostic factor in GC *** to the risk score,GC patients were stratified into high-and low-risk groups,and patients in the high-risk group ha

关键词： Gastric cancer Inflammation Immune infiltration Prognosis signature Subt

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Application and progress of artificial intelligence technology in the segmentation of hyperreflective foci in OCT images for ophthalmic disease research

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International Journal of Ophthalmology(English edition) 2024年第6期17卷 1138-1143页

作者： jia-Ning Ying hu Li Yan-Yan Zhang Wen-Die Li Quan-Yong Yi Ningbo Eye Hospital Wenzhou Medical UniversityNingbo 315042Zhejiang ProvinceChina Health Science Center Ningbo UniversityNingbo 315211Zhejiang ProvinceChina

With the advancement of retinal imaging,hyperreflective foci(HRF)on optical coherence tomography(OCT)images have gained significant attention as potential biological biomarkers for retinal ***,these biomarkers,represented by HRF,present pose challenges in terms of localization,quantification,and require substantial time and *** recent years,the progress and utilization of artificial intelligence(AI)have provided powerful tools for the analysis of biological *** technology enables use machine learning(ML),deep learning(DL)and other technologies to precise characterization of changes in biological biomarkers during disease progression and facilitates quantitative *** on ophthalmic images,AI has significant implications for early screening,diagnostic grading,treatment efficacy evaluation,treatment recommendations,and prognosis development in common ophthalmic ***,it will help reduce the reliance of the healthcare system on human labor,which has the potential to simplify and expedite clinical trials,enhance the reliability and professionalism of disease management,and improve the prediction of adverse *** article offers a comprehensive review of the application of AI in combination with HRF on OCT images in ophthalmic diseases including age-related macular degeneration(AMD),diabetic macular edema(DME),retinal vein occlusion(RVO)and other retinal diseases and presents prospects for their utilization.

关键词： artificial intelligence deep learning hyperreflective foci image analysis

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High-pressure capacity expansion and water injection mechanism and indicator curve model for fractured-vuggy carbonate reservoirs

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Petroleum 2024年第3期10卷 511-519页

作者： Lixin Chen Chengzao jia Rujie Zhang Ping Yue Xujian jiang Junfang Wang Zhou Su yun Xiao Yuan Lv Institute of Unconventional Oil and Gas Science and Technology China University of Petroleum(Beijing)Beijing102249China State Key Laboratory of Reservoir Geology and Development Southwest Petroleum UniversityChengdu610500China Tarim Oilfield Company PetroChinaKorla841000China

Water injection for oil displacement is one of the most effective ways to develop fractured-vuggy carbonate *** the increase in the number of rounds of water injection,the development effect gradually *** emergence of high-pressure capacity expansion and water injection technology allows increased production from old *** high-pressure capacity expansion and water injection technology has been implemented in practice for nearly 10 years in fractured-vuggy reservoirs,its mechanism remains unclear,and the water injection curve is not *** the past,evaluating its effect could only be done by measuring the injection-production *** this study,we analyze the mechanism of high-pressure capacity expansion and water *** propose a fluid exchange index for high-pressure capacity expansion and water injection and establish a discrete model suitable for high-pressure capacity expansion and water injection curves in fractured-vuggy *** propose the following mechanisms:replenishing energy,increasing energy,replacing energy,and releasing *** above mechanisms can be identified by the high-pressure capacity expansion and water injection curve of the well HA6X in the Halahatang Oilfield in the Tarim *** solving the basic model,the relative errors of Reservoirs I and II are found to be 1.9%and 1.5%,respectively,and the application of field examples demonstrates that our proposed high-pressure capacity expansion and water injection indicator curve is reasonable and *** research can provide theoretical support for high-pressure capacity expansion and water injection technology in fracture-vuggy carbonate reservoirs.

关键词： Fractured-vuggy carbonate reservoirs High-pressure capacity expansion and water injection Mechanism Water injection indicator curve

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