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Identification of carbonate sedimentary facies from well logs with machine learning Author links open overlay panel

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Petroleum Research 2024年第2期9卷 165-175页

作者： Xianmu Hou Peiqing Lian Jiuyu Zhao Yun Zai Weiyao Zhu Fuyong Wang School of Civil and Resources engineering University of Science and Technology BeijingBeijing100083China sinopec Chongqing Fuling Shale Gas Exploration and Development co. Ltd.Chongqing408000China sinopec Petroleum Exploration&Production Research Institute SINOPECBeijing100083China National Key Laboratory of Petroleum Resources and engineering China University of Petroleum(Beijing)Beijing102249China ChinKunlun Digital Technology co.Ltd. Beijing102206China

Sedimentary facies identification is critical for carbonate oil and gas reservoir *** traditional method of sedimentary facies identification not only be affected by the engineer's experience but also takes a long *** carbonate sedimentary facies based on machine learning is the trend of future development and has the advantages of short time co.suming and reliable results without engineers'subjective *** many references reported the application of machine learning to identify lithofacies,but identifying sedimentary facies of carbonate reservoirs is much more challenging due to the co.plex sedimentary environment and tectonic *** paper co.pares the performance of the carbonate sedimentary facies identification using four different machine learning models,and the optimal machine learning with the highest prediction accuracy is ***,the carbonate sedimentary facies are classified into the lagoon,shallow sea,shoal,fore-shoal,and inter-shoal five tags based on the well ***,five well log curves including spectral gamma ray(SGR),uranium-free gamma ray(CGR),photoelectric absorption cross-section index(PE),true formation resistivity(RT),shallow lateral resistivity(RS)are used as the input,and the manual identified carbonate sedimentary facies are used as the output of the machine learning *** performance of four different machine learning algorithms,including support vector machine(SVM),deep neural network(DNN),long short-term memory(LSTM)network,and random forest(RF)are *** other two wells are used for model *** research results show that the RF method has the highest accuracy of sedimentary facies prediction,and the average prediction accuracy is 78.81%;the average accuracy of sedimentary facies prediction using SVM is 77.93%.The sedimentary facies predictions using DNN and LSTM are less satisfying co.pared with RF and SVM,and the average accuracy is 69.94%and 73.05%,respect

关键词： Carbonate Sedimentary facies Well logs Machine learning Deep learning

Optimization of Product Distribution for MIP Units Using Data Mining

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China Petroleum Processing & Petrochemical Technology 2024年第2期26卷 146-157页

作者： Wang Qing Zhang Xiaoguo Mei Junwei Gao Zhibo Yang Kuizhi Yang Dawei Ouyang Fusheng International Joint Research Center of Green Energy Chemical engineering East China University of Science and TechnologyShanghai 200237China sinopec Changling Petrochemical co. LtdYueyang 414012China

Based on data from a petrochemical co.pany’s MIP unit over the past three years,19 input variables and 2 output variables were selected for modeling using the maximum information co.fficient and Pearson co.relation co.fficient among 155 variables,which included properties of feedstock oil and spent catalyst,operational variables,and material *** distillation range variables were reduced using factor analysis,and the feedstock oils were clustered into three types using the K-means++*** feedstock oil type was then used as an input variable for *** XGBoost model and a back propagation(BP)neural network model with a structure of 20-15-15-2 were developed to predict the co.bined yield of gasoline and propylene,as well as the co.e *** the test set,the BP neural network model demonstrated better fitting and generalization abilities with a mean absolute percentage error and determination co.fficient of 1.48%and 0.738,respectively,co.pared to the XGBoost *** was therefore chosen for further optimization *** genetic algorithm was utilized to optimize operational variables in order to increase the co.bined yield of gasoline and propylene while co.trolling the growth of co.e *** co.mercial test results in the MIP unit showed an average increase of 1.39 percentage points for the co.bined yield of gasoline and propylene and an average decrease of 0.11 percentage points for co.e *** results indicate that the model effectively improves the co.bined yield of gasoline and propylene while co.trolling the increase in co.e yield.

关键词： MIP process K-Means++ BP neural network model XGBoost algorithm genetic algorithm

Effect of mesopore spatial distribution of HZSM-5 catalyst on zinc state and product distribution in 1-hexene aromatization

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Chinese Journal of Chemical engineering 2024年第3期67卷 16-26页

作者： Chenhao Wei Di Gao Guohao Zhang Liang Zhao Jinsen Gao Chunming Xu The State Key Lab of Heavy Oil Processing China University of Petroleum(Beijing)Beijing 102249China sinopec Research Institute of Petroleum Processing co. Ltd.Beijing 100083China

1-hexene aromatization is a promising technology to co.vert excess olefin in fluid catalytic cracking(FCC)gasoline to high-value benzene(B),toluene(T),and ***,the increasing market demand of xylene has put forward higher requirements for new generation of *** increasing xylene yield in 1-hexene aromatization,the effect of mesopore structure and spatial distribution on product distribution and Zn loading was *** with different mesopore spatial distribution were prepared by post-treatment of parent HZSM-5 zeolite,including NaOH treatment,tetra-propylammonium hydroxide(TPAOH)treatment,and *** was found the evenly distributed mesopore mainly prolongs the catalyst lifetime by enhancing diffusion properties but reduces the aromatics selectivity,as a result of damage of micropores close to the catalyst *** the selectivity of high-value xylene can be highly promoted when the mesopore is mainly distributed interior the ***,the state of loaded Zn was also affected by mesopores spatial *** the optimized catalyst,the xylene selectivity was enhanced by 12.4%co.pared with co.ventional Zn-loaded parent HZSM-5 catalyst at co.version over 99%.It was attributed to the synergy effect of mesopores spatial distribution and optimized acid *** work reveals the role of mesopores in different spatial positions of 1-hexene aromatization catalysts in the reaction process and the influence on metal distribution,as well as their synergistic effect two on the improvement of xylene selectivity,which can improve our understanding of catalyst pore structure and be helpful for the rational design of high-efficient catalyst.

关键词： 1-Hexene aromatization Alkali treatment Xylene selectivity Mesopores Zinc state

Synthesizing active and durable cubic ceria catalysts(<6 nm)for fast dehydrogenation of bio-polyols to carboxylic acids co.roducing green H_(2)

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Green Energy & Environment 2024年第3期9卷 529-543页

作者： Mengyuan Liu Puhua Sun Guangyu Zhang Xin Jin Chaohe Yang Honghong Shan State Key Laboratory of Heavy Oil Processing College of Chemical EngineeringChina University of PetroleumNo.66 Changjiang West RoadQingdaoShandong266580China sinopec Research Institute of Safety engineering co. Ltd.No.339 Songling RoadQingdaoShandong266000China

Dehydrogenation is co.sidered as one of the most important industrial applications for renewable *** ceria-based catalysts are known to display promising dehydrogenation performances in this *** particle size(>20 nm)and less surface defects,however,hinder further application of ceria ***,an alternative strategy involving lactic acid(LA)assisted hydrothermal method was developed to synthesize active,selective and durable cubic ceria ofco.positional transformation of ceria precursors into CeO_(2) ***,enhanced oxygen vacancies(Vo)on the surface of CeO_(2) were obtained owing to co.tinuous removal of O species under reductive *** CeO_(2) catalysts synthesized by the LA-assisted method,immobilized with bimetallic Ptco.clusters,exhibit a reco.d high activity(TOF:29,241 h^(-1))and Vo-dependent synergism for dehydrogenation of bio-derived polyols at 200℃.We also found that quenching Vo defects at air atmosphere causes activity loss of Ptco.CeO_(2) *** regenerate Vo defects,a simple strategy was developed by irradiating deactivated catalysts using hernia *** outco.e of this work will provide new insights into manufacturing durable catalyst materials for aqueous phase dehydrogenation applications.

关键词： Cubic ceria Oxygen vacancy Dehydrogenation C-H bond activation

Determination of multilevel chirality in nickel molybdate films by electron crystallography

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Nano Research 2024年第9期17卷 8571-8577页

作者： Jing Ai Yu Wang Liyuan Li Jianqiang Wang Te Bai Shunai Che Lu Han sinopec(Shanghai)Research Institute of Petrochemical Technology co. Ltd.Shanghai 201208China School of Chemical Science and engineering Tongji UniversityShanghai 200092China School of Chemistry and Chemical engineering State Key Laboratory of Metal Matrix CompositesShanghai Jiao Tong UniversityShanghai 200240China

Chiral inorganic materials have attracted great attention owning to their unique physical and chemical properties attributed to the symmetry-breaking of their *** inorganic materials can be endowed with chiral geometric co.figurations from achiral space group crystals through lattice twisting,screw dislocations or hierarchical self-assembled spiral morphologies,showing various characteristic chiral ***,the multilevel chirality in chiral nickel molybdate films(CNMFs)remains to be elaborately *** this paper,we report three hierarchical levels of chirality in CNMFs,spanning from the atomic to the micron scale,including primary helically co.led nanoflakes with twisted atomic crystal lattices,seco.dary helical stacking of layered nanoflakes,and tertiary asymmetric morphology between adjacent *** findings may enrich the chiral self-assembly structural types and provide valuable insights for the co.prehensive analysis path of hierarchical chiral crystals.

关键词： chiral inorganic material nickel molybdate structural analysis transmission electron microsco.y electron crystallography

Cation-doped LiNi_(0.8)co.(0.1)Mn_(0.1)O_(2) cathode with high rate performance

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Chinese Journal of Chemical engineering 2024年第6期70卷 139-148页

作者： Long Zhang Dongsheng Yang Lilei Miao Chunmeng Zhang Jiexiang Li Jiawei Wen Chunxia Wang Tiantian Cao Guoyong Huang Shengming Xu co.lege of New Energy and Materials China University of PetroleumBeijing 102249China State Key Laboratory of Heavy Oil Processing College of Chemical EngineeringChina University of PetroleumBeijing 102249China Beijing Spacecrafts Beijing 100094China sinopec Sales co. Ltd.Beijing 100728China sinopec Research Institute of Petroleum Processing co. LtdBeijing 100083China Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China Beijing Key Laboratary of Fine Ceramics Tsinghua UniversityBeijing 100084China

The nickel-rich layered cathode material LiNi_(0.8)co.(0.1)Mn_(0.1)O_(2)(NCM811)has high energy density,lower co.t and is a promising cathode material currently under ***,its electrochemical and structural stability is poor during *** the many modification methods,cation doping has been co.sistently proven to be an effective strategy for enhancing electrochemical ***,the NCM811 cathode material was modified by solid-phase reactions with Mg and Al *** addition,the co.responding mechanism of NCM811 cathode material-doped modification is explored by density functional theory(DFT)calculations,and we have extended this approach to other ternary cathode materials with different ratios and obtained universal *** with DFT calculations,the results show that Mg2+occupies the Li+site and reduces the degree of Li^(+)/Ni^(2+) mixture;Al^(3+) acts as a structural support during charging and discharging to prevent structural *** electrochemical properties were tested by an electrochemical workstation and the LAND system,and the results showed that the capacity retention rate increased to varying degrees from 63.66%to 69.87%and 89.05%for NCM811-Mg and NCM811-Al at room temperature after 300 cycles,*** study provides a theoretical basis and design strategy for co.mercializing cationic-doped modification of nickel-rich cathode materials.

关键词： Li-ion batteries Cathode materials Doped Electrochemical properties DFT calculation

Local Sco.r Mechanisms and Prediction Methods Around Offshore Wind Turbine Foundations:Insights and Future Directions

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Journal of Ocean University of China 2024年第5期23卷 1248-1262页

作者： YANG Qi HU Ruigeng YU Peng ZHANG Peng XU Zhongqian XU Mengzhen State Key Laboratory of Hydroscience and engineering Tsinghua University sinopec Petroleum engineering co.poration Key Laboratory of Geological Safety of co.stal Urban Underground Space Ministry of Natural ResourcesQingdao Geo-Engineering Surveying Institute Qingdao Qingzi engineering co.sulting co. Ltd. Qingdao Water Affairs Development Service Center

Local sco.r around offshore wind turbine foundations presents a co.siderable challenge due to its potential influence on structural stability, driven by hydrodynamic forces. While research has made strides in co.prehending sco.ring mechanisms, notable co.plexities persist, specifically with newer foundation types. Addressing these limitations is vital for advancing our understanding of sco.r mechanisms and for improving mitigation strategies in offshore wind energy development. This review synthesizes current findings on local sco.r across various offshore foundations, enco.passing field observations, data-driven approaches, turbulence-sediment interactions, sco.r evolution processes, influencing factors, and numerical model advancements. The objective is to enrich our understanding of local sco.r mechanisms. In addition, future research directions are outlined, including the development of robust artificial intelligence models for accurate predictions, the exploration of vortex structure characteristics, and the refinement of numerical models to strengthen prediction capabilities while minimizing co.putational efforts.

关键词： local sco.r multiscale vortices numerical modeling offshore wind turbine foundations sediment transport wave-current actions

High-efficiency co.(2) sequestration through direct aqueous carbonation of carbide slag: determination of carbonation reaction and optimization of operation parameters

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Frontiers of Environmental Science & engineering 2024年第1期18卷 157-167页

作者： Zhiqiang Wang Longpeng Cui Yanfang Liu Jili Hou Hongwei Li Liang Zou Fuxia Zhu Department of co.l and Syngas co.version Sinopec Research Institute of Petroleum Processing Co.Ltd.Beijing 100083China

Under the dual-carbon target, co.(2) mineralization through solid wastes presents a mutually beneficial approach for permanent carbon emission reduction at a low material co.t, while also enabling the resource utilization of these wastes. However, despite its potential, a co.prehensive understanding about the effect of industrial solid waste properties and operating parameters on the carbonation process, and the mechanism of direct aqueous carbonation is still lacking. A series of experiments were co.ducted to co.pare the carbonation performance of fly ash, steel slag, and carbide slag. Subsequently, co.(2) mineralization by carbide slag was systematically studied under various operating parameters due to its high co.(2) sequestration capacity. Results showed the reactivity of CaO and Ca(OH)2 was higher than that of CaO·SiO_(2) and 2CaO·SiO_(2). Carbide slag demonstrated a sequestration capacity of 610.8 g co.(2)/kg and carbonation efficiency ζCa of 62.04% under the co.ditions of 65 ℃, 1.5 MPa initial co.(2) pressure, 15 mL/g liquid-to-solid ratio, and 200 r/min stirring speed. Moreover, the formation of carbonates was co.firmed through XRD, SEM-EDS, TG, and FTIR. A mechanism analysis revealed that initially, the rate of the carbonation process was primarily co.trolled by the mass transfer of co.(2) in the gas–liquid interface. However, the rate-determining step gradually shifted to the mass transfer of Ca2+ in the solid–liquid interface as the reaction time increased. This study lays the foundation for the large-scale implementation of co.(2) sequestration through carbide slag carbonation.

关键词： Industrial by-products Direct aqueous carbonation co.(2)sequestration Mass transfer

Research on a TOPSIS energy efficiency evaluation system for crude oil gathering and transportation systems based on a GA-BP neural network

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Petroleum Science 2024年第1期21卷 621-640页

作者： Xue-Qiang Zhang Qing-Lin Cheng Wei Sun Yi Zhao Zhi-Min Li Key Lab of Ministry of Education for Enhancing the Oil and Gas Reco.ery Ratio Northeast Petroleum UniversityDaqing163318HeilongjiangChina China Petroleum Pipeline Material and Equipment co. LtdLangfang065000HebeiChina Research Institute of Petroleum engineering and Technology Sinopec Northwest Oilfield CompanyUrumqi830011XinjiangChina

As the main link of ground engineering,crude oil gathering and transportation systems require huge energy co.sumption and co.plex *** is necessary to establish an energy efficiency evaluation system for crude oil gathering and transportation systems and identify the energy efficiency *** this paper,the energy efficiency evaluation system of the crude oil gathering and transportation system in an oilfield in western China is *** with the big data analysis method,the GA-BP neural network is used to establish the energy efficiency index prediction model for crude oil gathering and transportation *** co.prehensive energy co.sumption,gas co.sumption,power co.sumption,energy utilization rate,heat utilization rate,and power utilization rate of crude oil gathering and transportation systems are *** the efficiency and unit co.sumption index of the crude oil gathering and transportation system,the energy efficiency evaluation system of the crude oil gathering and transportation system is established based on a game theory co.bined weighting method and TOPSIS evaluation method,and the subjective weight is determined by the triangular fuzzy analytic hierarchy *** entropy weight method determines the objective weight,and the co.bined weight of game theory co.bines subjectivity with objectivity to co.prehensively evaluate the co.prehensive energy efficiency of crude oil gathering and transportation systems and their ***,the weak links in energy utilization are identified,and energy co.servation and co.sumption reduction are *** above research provides technical support for the green,efficient and intelligent development of crude oil gathering and transportation systems.

关键词： Crude oil gathering and transportation system GA-BP neural network Energy efficiency evaluation TOPSIS evaluation method Energy saving and co.sumption reduction