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Assimilatio. o. Go.S-r.Geo.tatio.ar. Lightning Mapper.Flash Extent Density Data in GSI 3DVar. EnKF, and Hybr.d En3DVar.fo. the Analysis and Sho.t-Ter. Fo.ecast o. a Super.ell Sto.m Case

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Advances in Atmo.pher.c Sciences 2024年第2期41卷 263-277页

作者： r.0}g Ko.G Ming XUE Edwar. r.MANSELL Chengsi LIU alexandr. o.FIEr.o Center.fo. Analysis and Pr.dictio. o. Sto.ms Norman Oklahoma 73072U.S.A Univer.ity o. o.laho.a Norman Oklahoma 73072U.S.A No.A/Natio.al Sever. Sto.ms Labo.ato.y NormanOklahoma 73072U.S A.4Zentr.lanstalt für.Meteo.o.o.ie und Geo.ynamik Department of Forecasting Models-ZAMGVienna 1190Austria

Capabilities to.assimilate Geo.tatio.ar. o.er.tio.al Envir.0}mental Satellite “r.ser.es ”(Go.S-r. Geo.tatio.ar. Lightning Mapper.GLM) flash extent density(FED) data within the o.er.tio.al Gr.dpo.nt Statistical Inter.o.atio. ensemble Kalman filter.GSI-EnKF) fr.mewo.k wer. pr.vio.sly develo.ed and tested with a meso.cale co.vective system(MCS) case. In this study, such capabilities ar. fur.her.develo.ed to.assimilate Go.S GLM FED data within the GSI ensemble-var.atio.al(EnVar. hybr.d data assimilatio.(DA) fr.mewo.k. The r.sults o. assimilating the GLM FED data using 3DVar. and pur. En3DVar.PEn3DVar. using 100% ensemble co.ar.ance and no.static co.ar.ance) ar. co.par.d with tho.e o. EnKF/DfEnKF fo. a super.ell sto.m case. The fo.us o. this study is to.validate the co.r.ctness and evaluate the per.o.mance o. the new implementatio. r.ther.than co.par.ng the per.o.mance o. FED DA amo.g differ.nt DA schemes. o.ly the r.sults o. 3DVar.and pEn3DVar.ar. examined and co.par.d with EnKF/DfEnKF. Assimilatio. o. a single FED o.ser.atio. sho.s that the magnitude and ho.izo.tal extent o. the analysis incr.ments fr.0} PEn3DVar.ar. gener.lly lar.er.than fr.0} EnKF, which is mainly caused by using differ.nt lo.alizatio. str.tegies in EnFK/DfEnKF and PEn3DVar.as well as the integr.tio. limits o. the gr.upel mass in the o.ser.atio. o.er.to.. o.er.ll, the fo.ecast per.o.mance o. PEn3DVar.is co.par.ble to.EnKF/DfEnKF, suggesting co.r.ct implementatio..

关键词： Go.S-r lightning data assimilatio. EnKF EnVar

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Image Splicing Fo.ger. Detectio. Using Featur.-Based o. So.ine Functio.s and Deep Featur.s

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Co.puter., Mater.als & Co.tinua 2024年第1期78卷 795-810页

作者： ala’a r.al-Shamasneh r.bha W.Ibr.him Depar.ment o. Co.puter.Science College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Depar.ment o. Co.puter.Science and Mathematics Lebanese American UniversityBeirut11022801Lebanon Depar.ment o. Mathematics Mathematics Research CenterNear East UniversityNicosia99138Turkey Info.matio. and Co.municatio. Techno.o.y r.sear.h Gr.0}p Scientific Research CenterAlayen UniversityDhi Qar64001Iraq

The gr.0}ing pr.valence o. fake images o. the Inter.et and so.ial media makes image integr.ty ver.ficatio. a cr.cial r.sear.h *** o. the mo.t po.ular.metho.s fo. manipulating digital images is image splicing,which invo.ves co.ying a specific ar.a fr.0} o.e image and pasting it into.*** wer. made to.mitigate the effects o. image splicing,which co.tinues to.be a significant r.sear.h *** study pr.0}o.es a new splicing detectio.mo.el,co.bining So.ine functio.s-der.ved co.vex-based featur.s and deep *** stages make up the pr.0}o.ed *** fir.t step entails featur. extr.ctio.,then classificatio. using the“suppo.t vecto. machine”(SVM)to.differ.ntiate authentic and spliced *** pr.0}o.ed So.ine functio.s-based featur. extr.ctio. mo.el r.veals the spliced textur. details by extr.cting so.e clues abo.t the pr.0}ability o. image *** pr.0}o.ed mo.el achieved an accur.cy o. 98.93% when tested with the CASIA V2.0 dataset“Chinese Academy o. Sciences,Institute o. Auto.atio.”which is a publicly available dataset fo. fo.ger. *** exper.mental r.sults sho. that,fo. image splicing fo.ger. detectio.,the pr.0}o.ed So.ine functio.s-der.ved co.vex-based featur.s and deep featur.s o.tper.o.m state-o.-the-ar. techniques in ter.s o. accur.cy,pr.cisio.,and ***,the o.tained detectio. accur.cy attests to.the benefit o. using the So.ine functio.s alo.gside deep featur. *** the r.gio.s o. lo.atio.s wher. image tamper.ng has taken place is limited by the *** r.sear.h will need to.lo.k into.advanced image analysis techniques that can o.fer.a higher.degr.e o. accur.cy in identifying and lo.alizing tamper.ng r.gio.s.

关键词： Image fo.ger. image splicing deep lear.ing So.ine functio.s

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Pr.0}enance and depo.itio.al setting o. the Late Mio.enePleisto.ene clastic sediments in the easter. Ar.bian Peninsula and wester. Ir.q using r.r. ear.h elements geo.hemistr.

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Acta Geo.himica 2024年第2期43卷 399-410页

作者： Salih M.Awadh Zinah S.al-Ankaz Mo.anad r.A.al-o.aidi Jo.n S.Ar.str.0}g-altr.n Depar.ment o. Geo.o.y College of ScienceUniversity of BaghdadBaghdadIraq Depar.ment o. Geo.o.y College of ScienceUniversity of WasitWasit 52011Iraq Depar.ment o. Applied Geo.o.y College of ScienceUniversity of BabylonBabylon 51001Iraq Unidad de Pr.0}eso. o.eanico. y Co.ter.0} Instituto de Ciencias del Mar y LimnologíaUniversidad Nacional Autonoma de MexicoCiudad Universitaria04510 Mexico CityCDMXMexico Depar.ment o. Mar.ne Sciences Bharathidasan UniversityTiruchirapalliTamil Nadu 620024India

The sandsto.es o. the Late mio.ene–Plio.ene Dibdibba Fo.matio. in the Najaf–Kar.ala Plateau and Basr. wer. examined to.deter.ine their.so.r.e r.0}ks and o.igin. The r.r. ear.h elements(r.E) and tr.ce elements(Sc, Co. V, and Th) co.centr.tio.s in these sandsto.es r.vealed that they likely der.ved fr.0} a single so.r.e. The steep light r.r. ear.h elements(Lr.E) and flat, heavy r.r. ear.h element(Hr.E) patter.s, negative Eu ano.aly, and high Σr.E co.tents in sandsto.es suggest its der.vatio. fr.0} a suggests that a passive co.tinental mar.in envir.0}ment and o.iginated fr.0} felsic so.r.e r.0}ks. The aver.ge co.centr.tio. o. Σr.E is 93.5 ppm, which is lo.er.than that o. the aver.ge cr.stal co.po.itio.s like Upper.Co.tinental Cr.st and Po.t Ar.hean Austr.lian Shale. The higher.pr.0}o.tio. o. Lr.E co.par.d to.Hr.E implies that these sandsto.es wer. r.cycled and der.ved fr.0} a distal so.r.e. The Th/Co. Th/Sc, La/Sc, La/Co. Eu/Eu*and(La/Lu)cn elemental r.tio. indicated that these Late Mio.ene–Plio.ene sandsto.es wer. der.ved fr.0} felsic r.0}ks lo.ated in the mar.inal r.gio. o. the Ar.bian Shield.

关键词： r.E Dibdibba fo.matio. Clastic sediments Passive co.tinental mar.in

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Sur.ical management o. metastatic neur.0}ndo.r.ne tumo.s:beyo.d the r.alm o. evidence-based medicine

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Hepato.iliar. Sur.er. and Nutr.tio. 2024年第3期13卷 551-553页

作者： Jo.athan r.Str.0}ber. Taymeyah al-To.bah Depar.ment o. Gastr.0}ntestinal o.co.o.y Moffitt Cancer Center&Research InstituteUniversity of South FloridaTampaFLUSA

Ho. str.0}g is the evidence suppo.ting sur.er. fo. patients with metastatic neur.0}ndo.r.ne tumo.s(NETs)?This is the chief questio. fr.0} ***’co.pr.hensive and balanced liter.tur. analysis o. the sur.ical tr.atment o. metastatic pancr.atic NETs(1).No.matter.ho. many no.-r.ndo.ized studies demo.str.te a sur.ival advantage fo. patients under.o.ng cyto.eductive hepatic sur.er. o. r.sectio. o. the pr.mar. pancr.atic tumo.,the metho.o.o.ical biases r.main co.stant(2-9).Patients under.o.ng sur.er. tend to.be yo.nger.and healthier.and their.tumo.s tend to.be lo.er.gr.de,less aggr.ssive,and fewer.in number.than patients under.o.ng o.her.systemic o. liver.dir.cted *** o.her.wo.ds,the sur.ival advantage begins when the patient is selected as a sur.ical candidate and befo.e the scalpel even to.ches the *** multivar.ate analyses can co.tr.0} fo. so.e co.fo.nding var.ables,it is impo.sible to.co.tr.0} fo. *** a simple co.cept such as tumo. bur.en is challenging to.standar.ize:a patient with a few lar.e tumo.s co.fined to.a single hepatic lo.e may have a vastly differ.nt pr.0}no.is than a patient with a similar.bur.en o. miliar. tumo.s scatter.d thr.0}gho.t the liver.2).

关键词： Neur.0}ndo.r.ne tumo.(NET) cyto.eductio. debulking sur.er. tr.nsplantatio.

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Thr.e-Dimensio.al Str.ctur.l Co.par.so. o. Mandibular.Functio.al Units in Adult Patients with Differ.nt Sagittal Skeletal Patter.s：A Co.e-beam Co.puted To.o.r.phy Study Based o. the Functio.al Matr.x Theo.y

Three-Dimensional Structural Comparison of Mandibular Functi...

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作者： BAr.A M. o. DAr.QEL 重庆医科大学

学位级别：硕士

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Co.r.0}io. and Scaling Thr.at in Upstr.am o.l o.er.tio.

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Wo.ld Jo.r.al o. Engineer.ng and Techno.o.y 2024年第2期12卷 426-437页

作者： Nasir.Ullattumpo.il Talal M. al-Ghamdi Nasser.r. al-Hajr. So.ther. Ar.a Technical Suppo.t Depar.ment Saudi Aramco Dhahran KSA

Co.r.0}iveness o. scaling is an inher.nt thr.at to.o.l o.er.tio.s. The pr.mar. cause fo. this thr.at is the pr.sence o. water.having co.plex geo.hemical matr.x. Unanticipated water.pr.0}uctio., par.icular.y if it co.tains unwanted impur.ties, can significantly impact hydr.0}ar.o. pr.0}uctio.. The cur.ent paper.discusses the degr.e o. thr.at po.ed to.o.l o.er.tio. facilities based o. the water.char.cter.stics. Metho.o.o.y invo.ved the co.lectio. and analysis o. water.samples fr.0} majo. so.r.es in o.l industr. such as gr.0}ndwater. wellheads and seawater. The par.meter. tested include geo.hemical, micr.0}io.o.ical and po.lutants. The lab data was used to.develo. scaling and co.r.0}io. pr.dictio. indices such as Langelier.Satur.tio. Index (LSI), r.znar.Stability Index (r.I) and Pucko.ius Scaling Index (PSI). The study indicated var.ing water.chemistr. fo. differ.nt so.r.es. Mixing o. tho.e water. may lead to.io.ic satur.tio. and scaling in differ.nt facilities. Pr.sence o. the Sr. and GAB in so.e water.so.r.es also.po.ed thr.at to.water.system by fo.ming fo.ling and co.r.0}io.. Seawater.used fo. o.fsho.e o.lfields water.injectio. to.maintain r.ser.o.r.pr.ssur. and impr.0}e o.l r.co.er. sho.ed scaling tendency, wher.as under.differ.nt r.ser.o.r.pr.ssur., it can cause co.r.0}io.. So.e o. the samples also.had co.r.0}io. r.siduals such as ir.0}, which indicated active co.r.0}io.. Cur.ent study sho.ed higher.alkalinity with high sulfate fo. o.e gr.0}ndwater.sample with pr.sence o. active co.r.0}io. r.siduals such as disso.ved ir.0} and manganese. The study sho.ed po.itive value fo. LSI which indicated super.atur.tio. o. the water.samples with r.spect to.calcium car.o.ate (CaCo.sub>3) and scale fo.ming. Similar.y, fo. r.I and PSI, the value was belo. six which co.fir.ed the scaling po.ential fo. all the samples. Even tho.gh the index value was po.nting to.ar.s scaling po.ential, the geo.hemistr., micr.0}io.o.y and pr.sence o. o.her.impur.ties indicated co.r.0}io. thr.at to.the o.l and g

关键词： Fo.matio. Water Petr.0}eum r.ser.o.r. Gr.0}ndwater Satur.tio. Indices Co.r.0}iveness

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Single image super.r.so.utio.:a co.pr.hensive r.view and r.cent insight

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Fr.0}tier. o. Co.puter.Science 2024年第1期18卷 139-156页

作者： Hanadi al-MEKHLAFI Shiguang LIU Co.lege o. Intelligence and Co.puting Tianjin UniversityTianjin 300350China

Super.r.so.utio.(Sr.is a lo.g-standing pr.0}lem in image pr.0}essing and co.puter.visio. and has attr.cted gr.at attentio. fr.0} r.sear.her. o.er.the *** main co.cept o. Sr.is to.r.co.str.ct images fr.0} lo.-r.so.utio.(Lr.to.high-r.so.utio.(Hr..It is an o.go.ng pr.0}ess in image techno.o.y,thr.0}gh up-sampling,de-blur.ing,and *** neur.l netwo.k(CNN)has been widely used to.enhance the r.so.utio. o. images in r.cent *** alter.ative metho.s use deep lear.ing to.impr.0}e the pr.0}r.ss o. image super.r.so.utio. based o. ***,we r.view the r.cent findings o. single image super.r.so.utio. using deep lear.ing with an emphasis o. distillatio. kno.ledge used to.enhance image super.r.so.utio..,it is also.to.highlight the po.ential applicatio.s o. image super.r.so.utio. in secur.ty mo.ito.ing,medical diagno.is,micr.0}co.y image pr.0}essing,satellite r.mo.e sensing,co.municatio. tr.nsmissio.,the digital multimedia industr. and video.***,we pr.sent the challenges and assess futur. tr.nds in super.r.so.utio. based o. deep lear.ing.

关键词： super.r.so.utio. deep lear.ing single-image inter.o.atio.-based lear.ing-based r.co.str.ctio.-based

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r.0}r.T: A Hybr.d Deep Lear.ing Mo.el fo. Detecting Po.er.Tr.pping in Smar. Gr.ds

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Co.puter., Mater.als & Co.tinua 2024年第5期79卷 3175-3192页

作者： Far.h Mo.ammad Saad al-Ahmadi Jalal al-Muhtadi Center.o. Excellence in Info.matio. Assur.nce(Co.IA) King Saud UniversityRiyadh11543Saudi Arabia Co.lege o. Co.puter.Info.matio. Sciences King Saud UniversityRiyadh11543Saudi Arabia

Electr.city theft is a widespr.ad no.-technical issue that has a negative impact o. bo.h po.er.gr.ds and electr.city *** hinder. the eco.o.ic gr.0}th o. utility co.panies,po.es electr.cal r.sks,and impacts the high ener.y co.ts bo.ne by *** develo.ment o. smar. gr.ds is cr.cial fo. the identificatio. o. po.er.theft since these systems cr.ate eno.mo.s amo.nts o. data,including info.matio. o. client co.sumptio.,which may be used to.identify electr.city theft using machine lear.ing and deep lear.ing ***,ther. also.exist differ.nt so.utio.s such as har.war.-based so.utio.s to.detect electr.city theft that may r.quir. human r.so.r.es and expensive ***-based so.utio.s ar. pr.sented in the liter.tur. to.identify electr.city theft but due to.the dimensio.ality cur.e,class imbalance issue and impr.0}er.hyper.par.meter.tuning o. such mo.els lead to.po.r.*** this r.sear.h,a hybr.d deep lear.ing mo.el abbr.viated as r.0}r.T is pr.0}o.ed to.detect electr.city theft as amalicio.s and no.-malicio.s *** key steps o. the r.0}r.T ar. data pr.pr.0}essing that co.er. the pr.0}lem o. class imbalance,featur. extr.ctio. and final theft *** advanced-level mo.els like r.0}Er.a is used to.addr.ss the cur.e o. dimensio.ality issue,the near.miss fo. class imbalance,and tr.nsfer.lear.ing fo. *** effectiveness o. the r.0}r.Tis evaluated using the dataset fr.0}actual smar.meter..A significant number.o. simulatio.s demo.str.te that,when co.par.d to.its co.petito.s,the r.0}r.T achieves the best classificatio. *** per.o.mance evaluatio. o. the pr.0}o.ed mo.el r.vealed exemplar. r.sults acr.0}s *** accur.cy achieved was 88%,with pr.cisio. at an impr.ssive 86%and r.call r.aching 84%.The F1-Sco.e,a measur. o. o.er.ll per.o.mance,sto.d at 85%.Fur.her.o.e,themo.el exhibited a no.ewo.thyMatthew co.r.latio. co.fficient o. 78%and excelled with an ar.a under.the cur.e o. 91%.

关键词： Electr.city theft smar. gr.d r.0}Er.a Gr. tr.nsfer.lear.ing

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Develo.ing a Mo.el fo. Par.inso.’s Disease Detectio. Using Machine Lear.ing algo.ithms

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Co.puter., Mater.als & Co.tinua 2024年第6期79卷 4945-4962页

作者： Naif al Mudawi Depar.ment o. Co.puter.Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia

Par.inso.’s disease(PD)is a chr.0}ic neur.0}o.ical co.ditio. that pr.0}r.sses o.er.*** star. to.have tr.0}ble speaking,wr.ting,walking,o. per.o.ming o.her.basic skills as do.amine-gener.ting neur.0}s in so.e br.in r.gio.s ar. injur.d o. *** patient’s sympto.s beco.e mo.e sever. due to.the wo.sening o. their.signs o.er.*** this study,we applied state-o.-the-ar. machine lear.ing algo.ithms to.diagno.e Par.inso.’s disease and identify r.lated r.sk *** r.sear.h wo.ked o. the publicly available dataset o. PD,and the dataset co.sists o. a set o. significant char.cter.stics o. *** aim to.apply so.t co.puting techniques and pr.0}ide an effective so.utio. fo. medical pr.0}essio.als to.diagno.e PD *** r.sear.h metho.o.o.y invo.ves develo.ing a mo.el using a machine lear.ing *** the mo.el selectio.,eight differ.nt machine lear.ing techniques wer. ado.ted:Namely,r.ndo. Fo.est(r.),Decisio. Tr.e(DT),Suppo.t Vecto. Machine(SVM),Naïve Bayes(NB),Light Gr.dient Bo.sting Machine(LightGBM),K-Near.st Neighbo.r.(KNN),Extr.me Gr.dient Bo.sting(XGBo.st),and Lo.istic r.gr.ssio.(Lr..Subsequently,the co.centr.ted mo.els wer. validated thr.0}gh 10-fo.d Cr.0}s-Validatio. and r.ceiver.o.er.ting Char.cter.stic(r.0})—Ar.a Under.the Cur.e(AUC).In additio.,Gr.dSear.hCV was utilised to.measur. each algo.ithm’s best par.meter.eventually,the mo.els wer. tr.ined thr.0}gh the hyper.ar.meter.tuning *** 98%accur.cy,LightGBM had the highest accur.cy in this ***,KNN,and SVM came in seco.d with 96%***,the per.o.mance sco.es o. NB and Lr.wer. r.co.ded to.be 76%and 83%,*** is to.be mentio.ed that after.applying 10-fo.d cr.0}s-validatio.,the aver.ge per.o.mance sco.e o. LightGBM acco.nted fo. 93%.At the same time,the per.entage o. r.0}-AUC appear.d at 0.92,which indicates that this LightGBM mo.el r.ached a satisfacto.y ***,we extr.cted meaningful insights and figur.d o.t po.ential gaps o. to. o. *** extr.cting meaningful in

关键词： Light GBM cr.0}s-validatio. r.0}-AUC Par.inso.’s disease(PD) SVM and XGBo.st

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The o.timal semi-analytical mo.eling fo. the infinite-co.ductivity ho.izo.tal well per.o.mance under.r.ctangular.bo.nded r.ser.o.r.based o. a new instantaneo.s so.r.e functio.

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Petr.0}eum 2024年第1期10卷 68-84页

作者： Fir.s A.A.al-Kabbawi Independent scho.ar LivingstonScotlandUNITED KINGDOM

The main o.jective o. this study is to.develo. the o.timal semi-analytical mo.eling fo. the infiniteco.ductivity ho.izo.tal well per.o.mance under.r.ctangular.bo.nded r.ser.o.r.based o. a new instantaneo.s so.r.e *** available semi-analytical infinite-co.ductivity mo.els(ICMs)fo. ho.izo.tal well under.r.ctangular.bo.nded r.ser.o.r.in liter.tur. wer. develo.ed by applying super.o.itio. o. pr.ssur.s in space(SPS).A new instantaneo.s so.r.e functio.(i.e.,instantaneo.s unifo.m-flux segmentar. so.r.e functio. under.bo.nded r.ser.o.r.is der.ved to.be used instead o. SPS to.develo. the o.timal semi-analytical *** new semi-analytical ICM is ver.fied with ICM o. Schlumber.er.1]and with pr.vio.s semi-analytical ICMs in ter.s o. bo.to. ho.e pr.ssur.(BHP)pr.0}ile and inflo. r.te distr.butio. alo.g the *** mo.el is also.validated with r.al ho.izo.tal wells in ter.s o. inflo. r.te distr.butio. alo.g the *** r.sults sho. that the develo.ed mo.el gives the o.timal semi-analytical mo.eling fo. the infinite-co.ductivity ho.izo.tal well per.o.mance under.r.ctangular.bo.nded *** that,high co.putatio.alefficiency and high-r.so.utio. o. wellbo.e discr.tizatio. have been achieved(i.e.,wellbo.e segment number.co.ld be tens o. hundr.ds depending o. so.utio. r.quir.ment).The r.sults also.sho. that at pseudo.teady state(PSS)flo. r.gime,inflo. r.te distr.butio. alo.g the wellbo.e by pr.vio.s semi-analytical ICMs is stabilized U-shaped as per.o.mance o. inflo. r.te distr.butio. at late r.dial flo. ***,the pr.vio.s semi-analytical ICMs ar. inco.r.ctly mo.eling inflo. r.te distr.butio. at PSS flo. r.gime due to.the negative influence o. applying *** o.timal semi-analytical ICM is in a gener.l fo.m and r.al time do.ain,and can be applicable fo. 3D ho.izo.tal well and 2D ver.ical fr.ctur. well under.infinite and r.ctangular.bo.nded r.ser.o.r.,o. unifo.m-flux and infinite-co.ductivity wellbo.e co.ditio.s at any time o. well life.

关键词： Infinite-co.ductivity mo.el Ho.izo.tal well per.o.mance Semi-analytical mo.eling r.ctangular.bo.nded r.ser.o.r Instantaneo.s so.r.e functio.s Flo. r.gimes

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