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Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks

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Petroleum Science 2019年第3期16卷 541-549页

作者： Tuan-Feng Zhang Peter Tilke Emilien Dupont Ling-Chen Zhu Lin Liang William Bailey Applied Math and data analytics Schlumberger-Doll Research Cambridge MAUSA Schlumberger Technology Innovation center Menlo Park CA USA Reservoir Geosciences Schlumberger-Doll Research Cambridge MA USA

This paper proposes a novel approach for generating 3-dimensional complex geological facies models based on deep generative *** can reproduce a wide range of conceptual geological models while possessing the flexibility necessary to honor constraints such as well *** with existing geostatistics-based modeling methods,our approach produces realistic subsurface facies architecture in 3D using a state-of-the-art deep learning method called generative adversarial networks(GANs).GANs couple a generator with a discriminator,and each uses a deep convolutional neural *** networks are trained in an adversarial manner until the generator can create "fake" images that the discriminator cannot distinguish from "real" *** extend the original GAN approach to 3D geological modeling at the reservoir *** GANs are trained using a library of 3D facies *** the GANs have been trained,they can generate a variety of geologically realistic facies models constrained by well data *** geomodelling approach using GANs has been tested on models of both complex fluvial depositional systems and carbonate reservoirs that exhibit progradational and aggradational *** results demonstrate that this deep learning-driven modeling approach can capture more realistic facies architectures and associations than existing geostatistical modeling methods,which often fail to reproduce heterogeneous nonstationary sedimentary facies with apparent depositional trend.

关键词： Geological facies Geomodeling data conditioning Generative adversarial networks

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In silico assessment of household level closed water cycles:Towards extreme decentralization

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Environmental Science and Ecotechnology 2022年第2期10卷 1-11页

作者： Arjen Van de Walle Elena Torfs Dorien Gaublomme Korneel Rabaey center for Microbial Ecology and Technology Ghent UniversityCoupure Links 6539000GhentBelgium center for Advanced Process Technology for Urban Resource Recovery(CAPTURE) Coupure Links 6539000GhentBelgium BIOMATH Department of Data Analysis and Mathematical ModellingGhent UniversityCoupure links 6539000GhentBelgium

Water management in most of the developed world is currently practiced in a highly centralized manner,leading to major infrastructure and energy costs to transport *** decrease the impacts of water scarcity and climate change,the decentralization of water can increase local *** extremis,decentralization can involve building or house level water supply and ***,we constructed a MATLAB/Simulink model for two decentralized water management configurations at the household level,assuming the socio-environmental setting of Flanders,*** from the potable water grid and sewer system was pursued through rainwater harvesting,reuse of wastewater streams fitfor-purpose,and discharge via *** mass balance for water was calculated over the system boundaries showing high potential for independence from the grid with a reasonable treatment train and storage ***,the risk of contaminant accumulation within the circular system was assessed,showing a key limitation on decentralized system performance necessitating a system *** to 59%of system rainwater usage was due to the replacement of this *** treatment units with high(95%)contaminant rejection efficiencies eliminated contaminant accumulation *** raw model output was quantitatively assessed by constructing four newly proposed key performance indicators(KPIs),quantifying system independence,circularity,drought tolerance and local water body recharge,which allowed for facilitated system comparison and communication to stakeholders.A sensitivity analysis was performed in which the effect of input parameter variability and uncertainty on system performance was *** sensitivity analysis showed the importance of water recovery and contaminant removal efficiencies of the applied treatment technologies on system performance when contaminant accumulation in the system forms an *** systems not severely affected by pollutant accumulation,para

关键词： Extreme decentralization Household-scale Water reuse Simulations

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A data-driven approach to estimating post-discovery parameters of unexplored oilfields

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Petroleum 2023年第2期9卷 285-300页

作者： Fransiscus Pratikto Sapto Indratno Kadarsah Suryadi Djoko Santoso Industrial Engineering Department Bandung Institute of TechnologyJl Ganesha 10Bandung40132Indonesia Mathematics Department Bandung Institute of TechnologyJl Ganesha 10Bandung40132Indonesia Geophysical Engineering Department Bandung Institute of TechnologyJl Ganesha 10Bandung40132Indonesia University center of Excellence on Artificial Intelligence for Vision Institut Teknologi BandungNatural Language Processing&Big Data Analytics(U-CoE AI-VLB)Bandung 40132West JavaIndonesia

Consider a typical situation where an investor is considering acquiring an unexplored *** oilfield has undergone a preliminary geological and geophysical study in which pre-discovery data such as lithology,depth,depositional system,diagenetic overprint,structural compartmentalization,and trap type are *** this situation,investors usually estimate production rates using a volumetric approach.A more accurate estimation of production rates can be obtained using analytical methods,which require additional data such as net pay,porosity,oil formation volume factor,permeability,viscosity,and *** call these data post-discovery parameters because they are only available after discovery through exploration drilling.A data-driven approach to estimating post-discovery parameters of an unexplored oilfield is developed based on its pre-discovery data by learning from proven reservoir *** the Gaussian mixture model,and a data-driven reservoir typology based on the joint probability distribution of post-discovery parameters is *** came up with 12 reservoir ***,an artificial neural network classification model with the resilient backpropagation algorithm is used to find relationships between pre-discovery data and reservoir *** on k-fold crossvalidation with k?10,the accuracy of the classification model is stable with an average of 87.9%.With our approach,an investor considering acquiring an unexplored oilfield can classify the oilfield's reservoir into a particular type and estimate its post-discovery parameters'joint probability *** investor can incorporate this information into a valuation model to calculate the production rates more accurately,estimate the oilfield's value and risk,and make an informed acquisition decision accordingly.

关键词： data-driven Pre-discovery data Post-discovery parameters Gaussian mixture model Artificial neural network

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Revisiting classical SIR modelling in light of the COVID-19 pandemic

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Infectious Disease modelling 2023年第1期8卷 72-83页

作者： Leonid Kalachev Erin L.Landguth Jon Graham mathematical Sciences University of MontanaMissoulaUSA center for Population Health Research School of Public and Community Health SciencesUniversity of MontanaMissoulaUSA

Background:Classical infectious disease models during epidemics have widespread usage,from predicting the probability of new infections to developing vaccination plans for informing policy decisions and public health ***,it is important to correctly classify reported data and understand how this impacts estimation of model *** COVID-19 pandemic has provided an abundant amount of data that allow for thorough testing of disease modelling assumptions,as well as how we think about classical infectious disease modelling ***:We aim to assess the appropriateness of model parameter estimates and preiction results in classical infectious disease compartmental modelling frameworks given available data types(infected,active,quarantined,and recovered cases)for situations where just one data type is available to fit the *** main focus is on how model prediction results are dependent on data being assigned to the right model ***:We first use simulated data to explore parameter reliability and prediction capability with three formulations of the classical Susceptible-Infected-Removed(SIR)modelling *** then explore two applications with reported data to assess which data and models are sufficient for reliable model parameter estimation and prediction accuracy:a classical influenza outbreak in a boarding school in England and COVID-19 data from the fall of 2020 in Missoula County,Montana,***:We demonstrated the magnitude of parameter estimation errors and subsequent prediction errors resulting from data misclassification to model compartments with simulated *** showed that prediction accuracy in each formulation of the classical disease modelling framework was largely determined by correct data classification versus *** a classical example of influenza epidemics in an England boarding school,we argue that the Susceptible-Infected-Quarantined-Recovered(SIQR)model is more appropriat

关键词： Basic disease reproduction number Communicable disease control Coronavirus COVID-19 Disease transmission Epidemics Epidemiology Influenza data mathematical models Montana SIR models

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Gravitational wave standard sirens and cosmological parameter measurement

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Science China(Physics,Mechanics & Astronomy) 2019年第11期62卷 146-150页

作者： Xin Zhang Department of Physics College of Sciences Northeastern University Ministry of Education Key Laboratory of data analytics and Optimization for Smart Industry Northeastern University center for High Energy Physics Peking University

The first detection of gravitational waves (GWs) produced by the binary neutron star (BNS) merger in August 17, 2017[1] is fairly meaningful because it initiated the new era of multi-messenger astronomy. In this BNS m... 详细信息

关键词： CDM Gravitational wave standard sirens and cosmological parameter measurement

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A Hybrid Marine Predator Algorithm for Thermal-aware Routing Scheme in Wireless Body Area Networks

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Journal of Bionic Engineering 2023年第1期20卷 81-104页

作者： Tao Hai Jincheng Zhou Mohammad Masdari Haydar Abdulameer Marhoon School of Computer and Information Qiannan Normal University for NationalitiesDuyun558000GuizhouChina Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Duyun558000GuizhouChina Institute for Big data analytics and Artificial Intelligence(IBDAAI) Universiti Teknologi MARA40450Shah AlamSelangorMalaysia Department of Computer Engineering Islamic Azad UniversityUrmia BranchUrmiaIran Information and Communication Technology Research Group Scientific Research CenterAl-Ayen UniversityThi-QarIraq College of Computer Sciences and Information Technology University of KerbalaKarbalaIraq

Thermal-aware routing protocols in WBANs consider temperature factors in the routing process for preventing overheating of the tissues surrounding the sensor ***,providing an energy-efficient and thermal-aware routing in WBANs is a challenging *** deal with this problem,this article presents a novel temperature-aware routing protocol that applies Mamdani-based Fuzzy Logic Controllers(FLCs)for selecting the next forwarding node in routing data *** FLCs apply five important input factors such as the priority of the packet,and sensor node's remaining energy,temperature,distance,and link path ***,a new hybrid version of the Marine Predator Algorithm(MPA),named MPAOA is presented by combining the exploration and exploitation phases of the MPA and Arithmetic Optimization Algorithm(AOA).This algorithm is effectively applied for selecting the best possible set of fuzzy rules for FLCs and tuning their fuzzy *** experiments conducted in the Castalia simulator exhibit that the proposed temperature and priority-aware routing scheme can outperform other well-known routing schemes such as LATOR,TTRP,TAEO,ATAR,and EOCC-TARA in terms of metrics such as sensor nodes lifetime,the average temperature of the sensor nodes,and the percentage of the packets routed through non-overheated ***,it is shown that the MPAOA outperforms other algorithms such as Bat Algorithm(BA),Genetic Algorithm(GA),AOA,and MPA regarding the specified metrics.

关键词： WBANs Multi-hop routing Temperature Priority Fuzzy logic Bio-inspiration

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Optimal control and cost-effective analysis of an agestructured emerging infectious disease model

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Infectious Disease modelling 2022年第1期7卷 149-169页

作者： Peiqi Jia Junyuan Yang Xuezhi Li Complex Systems Research center Shanxi UniversityTaiyuan030006ShanxiPR China Shanxi Key Laboratory of mathematical Techniques and Big data Analysis on Disease Control and Prevention Shanxi UniversityTaiyuan030006PR China School of Mathematics and Information Science Henan Normal UniversityXinxiang453007HenanPR China

Emerging infectious diseases are one of the global public health problems which may lead to widespread epidemics and potentially life-threatening *** vaccination and physical distancing interventions are two elementary methods for preventing infectious diseases *** this paper,we construct a continuous age-structured model for investigating the transmission dynamics of an emerging infection disease during a short *** derive the basic regeneration number R 0,the spectral radius of the next generation operator K,which determines the disease outbreak or ***,we propose an optimal control problem to take account for the cost-effectiveness of social distancing intervention and *** rigorously obtain sufficient conditions for a L1 control *** simulations show that coupling integrated vaccination and physical distancing intervention could effectively eliminate the infection,and such control strategy is more sensitive for people aged 10e39 and over 60.

关键词： Age-structured model Admissible control Ekerland variational principle The basic reproduction number

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Dark energy versus modified gravity: Impacts on measuring neutrino mass

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中国科学：物理学、力学、天文学英文版 2020年第3期63卷 44-53页

作者： MingMing Zhao RuiYun Guo DongZe He JingFei Zhang Xin Zhang Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Ministry of Education’s Key Laboratory of data analytics and Optimization for Smart Industry Northeastern UniversityShenyang 110819China center for High Energy Physics Peking UniversityBeijing 100080China

In this paper,we make a comparison for the impacts of smooth dynamical dark energy,modified gravity,and interacting dark energy on the cosmological constraints on the total mass of active *** definiteness,we consider theΛCDM model,the w CDM model,the f(R)model,and two typical interacting vacuum energy models,i.e.,the IΛCDM1 model with Q=βHρc and the IΛCDM2 model with Q=βHρΛ.In the cosmological fits,we use the Planck 2015 temperature and polarization data,in combination with other low-redshift observations including the baryon acoustic oscillations,the type Ia supernovae,the Hubble constant measurement,and the large-scale structure observations,such as the weak lensing as well as the redshift-space ***,the Planck lensing measurement is also employed in this *** find that,the w CDM model favors a higher upper limit on the neutrino mass compared to theΛCDM model,while the upper limit in the f(R)model is similar with that in theΛCDM *** the interacting vacuum energy models,the IΛCDM1 model favors a higher upper limit on neutrino mass,while the IΛCDM2 model favors an identical neutrino mass with the case ofΛCDM.

关键词： neutrino mass dark energy modified gravity interacting dark energy cosmological observations

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Artificial Intelligence Methods Applied to Catalytic Cracking Processes

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Big data Mining and analytics 2023年第3期6卷 361-380页

作者： Fan Yang Mao Xu Wenqiang Lei Jiancheng Lv College of Computer Science Sichuan UniversityChengdu 610041China Algorithm and Big data center New Hope Liuhe Co LtdChengdu 610000China. data Intelligence Lab New Hope Liuhe Co LtdChengdu 610000China. College of Computer Science Sichuan UniversityChengdu 610041China.

Fluidic Catalytic Cracking(FCC)is a complex petrochemical process affected by many highly non-linear and interrelated *** yield analysis,flue gas desulfurization prediction,and abnormal condition warning are several key research directions in *** paper will sort out the relevant research results of the existing Artificial Intelligence(AI)algorithms applied to the analysis and optimization of catalytic cracking processes,with a view to providing help for the follow-up *** with the traditional mathematical mechanism method,the AI method can effectively solve the difficulties in FCC process modeling,such as high-dimensional,nonlinear,strong correlation,and large *** methods applied in product yield analysis build models based on massive *** fitting the functional relationship between operating variables and products,the excessive simplification of mechanism model can be avoided,resulting in high model *** methods applied in flue gas desulfurization can be usually divided into two stages:modeling and *** the modeling stage,data-driven methods are often used to build the system model or rule base;In the optimization stage,heuristic search or reinforcement learning methods can be applied to find the optimal operating parameters based on the constructed model or rule *** methods,including data-driven and knowledge-driven algorithms,are widely used in the abnormal condition ***-driven methods have advantages in interpretability and generalization,but disadvantages in construction difficulty and prediction *** the data-driven methods are just the ***,some studies combine these two methods to obtain better results.

关键词： neural networks intelligent optimization algorithm catalytic cracking lumped kinetics

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Forecast for weighing neutrinos in cosmology with SKA

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Science China(Physics,Mechanics & Astronomy) 2020年第8期63卷 53-60页

作者： Jing-Fei Zhang Bo Wang Xin Zhang Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Ministry of Education’s Key Laboratory of data analytics and Optimization for Smart Industry Northeastern UniversityShenyang 110819China center for High Energy Physics Peking UniversityBeijing 100080China

We investigate what role the SKA neutral hydrogen(HI)intensity mapping(IM)and galaxy sky surveys will play in weighing neutrinos in *** use the simulated data of the baryon acoustic oscillation(BAO)measurements from the HI surveys based on SKA1(IM)and SKA2(galaxy)to do the *** the current observations,we use the Planck 2015 cosmic microwave background(CMB)anisotropies observation,the optical BAO measurements,the type Ia supernovae(SN)observation(Pantheon compilation),and the latest H0 *** consider three mass ordering cases for massive neutrinos,i.e.,the normal hierarchy(NH),inverted hierarchy(IH),and degenerate hierarchy(DH)*** is found that the SKA observation can significantly improve the constraints on?m and *** to the current observation,the SKA1 data can improve the constraints on?m by about 33%,and on H0 by about 36%;the SKA2 data can improve the constraints on?m by about 58%,and on H0 by about 66%.It is also found that the SKA observation can only slightly improve the constraints on∑mν.Compared to the current observation,the SKA1 data can improve the constraints on∑mνby about 4%,3%,and 10%,for the NH,IH,and DH cases,respectively;the SKA2 data can improve the constraints on∑mνby about 7%,7%,and 16%,for the NH,IH,and DH cases,respectively.

关键词： 21 cm observation intensity mapping survey Square Kilometre Array baryon acoustic oscillations neutrino mass

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