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| 1 | Application of artificial intelligence to forecast hydrocarbon production from shales显示文摘Artificial intelligence(AI)methods and applications have recently gained a great deal of attention in many areas,including fields of mathematics,neuroscience,economics,engineering,linguistics,gaming,and many others.This is due to the surge of innovative and sophisticated AI techniques applications to highly complex problems as well as the powerful new developments in high speed computing.Various applications of AI in everyday life include machine learning,pattern recognition,robotics,data processing and analysis,etc.The oil and gas industry is not behind either,in fact,AI techniques have recently been applied to estimate PVT properties,optimize production,predict recoverable hydrocarbons,optimize well placement using pattern recognition,optimize hydraulic fracture design,and to aid in reservoir characterization efforts.In this study,three different AI models are trained and used to forecast hydrocarbon production from hydraulically fractured wells.Two vastly used artificial intelligence methods,namely the Least Square Support Vector Machine(LSSVM)and the Artificial Neural Networks(ANN),are compared to a traditional curve fitting method known as Response Surface Model(RSM)using second order polynomial equations to determine production from shales.The objective of this work is to further explore the potential of AI in the oil and gas industry.Eight parameters are considered as input factors to build the model:reservoir permeability,initial dissolved gas-oil ratio,rock compressibility,gas relative permeability,slope of gas oil ratio,initial reservoir pressure,flowing bottom hole pressure,and hydraulic fracture spacing.The range of values used for these parameters resemble real field scenarios from prolific shale plays such as the Eagle Ford,Bakken,and the Niobrara in the United States.Production data consists of oil recovery factor and produced gas-oil ratio(GOR)generated from a generic hydraulically fractured reservoir model using a commercial simulator.The Box-Behnken experiment design was used to minimize the number of simulations for this study.Five time-based models(for production periods of 90 days,1 year,5 years,10 years,and 15 years)and one rate-based model(when oil rate drops to 5 bbl/day/fracture)were considered.Particle Swarm Optimization(PSO)routine is used in all three surrogate models to obtain the associated model parameters.Models were trained using 80%of all data generated through simulation while 20%was used for testing of the models.All models were evaluated by measuring the goodness of fit through the coefficient of determination(R2)and the Normalized Root Mean Square Error(NRMSE).Results show that RSM and LSSVM have very accurate oil recovery forecasting capabilities while LSSVM shows the best performance for complex GOR behavior.Furthermore,all surrogate models are shown to serve as reliable proxy reservoir models useful for fast fluid recovery forecasts and sensitivity analyses. | Palash Panja Raul Velasco Manas Pathak Milind Deo | 2018 | Petroleum2018，4，1： | 4 |
| 2 | Analysis of a harvested tritrophic food chain model in the presence of additional food for top predator显示文摘 | Prabir Panja Swarup Poria Shyamal Kumar Mondal | 2018 | International Journal of Biomathematics2018，11，4： | 3 |
| 3 | Reuse of pacemaker显示文摘 | Panja M Sarkar CN Kumar S | 1996 | In- dian Heart J1996，48，： | 1 |
| 4 | High sensitive C-reactive protein:a novelbiochemical markers and its role in coronary artery disease显示文摘 | Mitra B Panja M | 2005 | J AssocPhysicians India2005，53，6： | 1 |
| 5 | How does plasmid DNA penetrate cell membranes in artificial transformation process of Escherichia coli 显示文摘 | Panja S Aich P Jana B | 2008 | Mol Membr Biol2008，25，5： | 1 |
| 6 | Differential regulation of mature and precursor microRNA expression by NMDA and metabotropic glutamate receptor activation during LTP in the adult dentate gyrus in vivo显示文摘 | WIBRAND K PANJA D TIRON A | | 0，，04： | 1 |
| 7 | The association between receptive cunnilingus and bacterial vaginosis显示文摘 | Tchamouroff SEo Panja SK | 2000 | Sex Transm Infect2000，76，2： | 1 |
| 8 | Dynamic expression of long noncoding RNAs and repeat elements in synaptic plasticity 显示文摘 | Maag JL Panja D Sporild I | 2015 | Front Neurosci2015，9，4： | 1 |
| 9 | Efficient one-pot synthesis of fluorinated benzimidazolines, benzothiazolines, benzoxazolines, and dihydrobenzoxazinones using gallium(Ⅲ) triflate as a catalyst 显示文摘 | Prakash G K S Mathew T Panja C | 2007 | Org Lett2007，9，2： | 1 |
| 10 | Reuse ofpacemaker显示文摘 | Panja M Sarkar CN Kumar S | 1996 | In- dian Heart J1996，48，： | 1 |
| 11 | Globally asymptotically stable 'PDt' controller for robot manipulators 显示文摘 | PADEN B PANJA R | 1988 | International Journal of Control1988，47，6： | 1 |
| 12 | Diurnal variation in hand hygiene compliance in a tertiary level multidisciplinary inten- sive care unit显示文摘 | Sahay S Panja S Ray S | 2010 | Am J Infect Control2010，38，7： | 1 |
| 13 | Immunological findings in autism显示文摘 | Cohly HH Panja A | 2005 | Int Rev Neurobiol2005，71，： | 1 |
| 14 | Synthesis and regulation of accessory/proinflarmmatory cytokines by intestinal epithelial cells 显示文摘 | Siden E Mayer L | 1995 | Clin Exp Immunol1995，100，： | 1 |
| 15 | Pyridine - 2,6 - dicarboxylate and pera- chlorate bridged hydrogen bonded 1D chains involving manganese(Ⅲ) -cyclam moiety: synthesis, X- ray crystal structures and magnetic study显示文摘 | NIZAMUDDIN SHAIKH ANANGAMOHAN PANJA PRADYOT BANERJEE | 2004 | Inorganica Chimica Acta2004，357，： | 1 |
| 16 | Regioselective syn- thesis of phenols and halophenols from arylboronic acids using solid poly (N vinylpyrrolidone)/hydrogen peroxide and poly (4-vinyl pyridine)/hydrogen peroxide complexes 显示文摘 | Prakash G K S Chacko S Panja C | 2009 | Adv Synth Catal2009，351，： | 1 |
| 17 | High sensitive C-reactive protein:a novel biochemical markers and its role in coronary artery disease显示文摘 | Mitera B Panja M | 2005 | J Assoc Physicians India2005，53，6： | 1 |
| 18 | High sensitive C - reactive protein : a novel biochemical markers and its role in coronary artery disease显示文摘 | Mitra B Panja M | 2005 | J Assoc Physicians? India2005，53，6： | 1 |
| 19 | BF3-H20 cata- lyzed hydroxyalkylation of aromatics with aromatic alde- hydes and dicarboxaldehydes:efficient synthesis of triaryl- methanes, diarylmethylbenzaldehydes, and anthracene de- rivatives显示文摘 | Prakash G K Panja C Shakhmin A | 2009 | Org Chem2009，74，22： | 1 |
| 20 | Pedicle screw adjustments affect stability of thoraeo lumbar burst fracture显示文摘 | Oda T Panja MM | 2001 | Spine2001，26，21： | 1 |
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