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| 1 | Bottom hole pressure estimation using hybridization neural networks and grey wolves optimization显示文摘An effective design and optimum production strategies of a well depend on the accurate prediction of its bottom hole pressure(BHP)which may be calculated or determined by several methods.However,it is not practical technically or economically to apply for a well test or to deploy a permanent pressure gauge in the bottom hole to predict the BHP.Consequently,several correlations and mechanistic models based on the knownsurfacemeasurementshave beendeveloped.Unfortunately,all these tools(correlations&mechanistic models)are limited to some conditions and intervals of application.Therefore,establish a global model that ensures a large coverage of conditions with a reduced cost and high accuracy becomes a necessity.In this study,we propose new models for estimating bottom hole pressure of vertical wells with multiphase flow.First,Artificial Neural Network(ANN)based on back propagation training(BP-ANN)with 12 neurons in its hidden layer is established using trial and error.The next methods correspond to optimized or evolved neural networks(optimize the weights and thresholds of the neural networks)with Grey Wolves Optimization(GWO),and then its accuracy to reach the global optima is compared with 2 other naturally inspired algorithms which are the most used in the optimization field:Genetic Algorithm(GA)and Particle Swarms Optimization(PSO).The models were developed and tested using 100 field data collected from Algerian fields and covering a wide range of variables.The obtained results demonstrate the superiority of the hybridization ANN-GWO compared with the 2 other hybridizations or with the BP learning alone.Furthermore,the evolved neural networks with these global optimization algorithms are strongly shown to be highly effective to improve the performance of the neural networks to estimate flowing BHP over existing approaches and correlations. | Menad Nait Amar Nourddine Zeraibi Kheireddine Redouane | 2018 | Petroleum2018，4，4： | 4 |
| 2 | Helicopter gearbox vibrations:cyclostationary analysis or bilinear approach显示文摘 | Laurent Bouillaut Menad Sidahmed | 2001 | ISSPA2001，，： | 1 |
| 3 | Treatment-oriented characterization of dry scrubber residue from municipal solid waste incineration 显示文摘 | Ecke H Menad N Lagerkvist A | 2002 | Journal of Material Cycles and Waste Management2002，4，2： | 1 |
| 4 | Carbonation of municipal solid waste incineration flyash and the impact on metal mobility显示文摘 | Ecke H Menad N Lagerkvist A 2003 | 2003 | J Environ Eng-ASCE2003，129，5： | 1 |
| 5 | Thermodynamic conditions for the formation of dioxin during the recycling of non ferrous metals from electric and electronic scrap显示文摘 | Bob jorkman Shunli Zhang | 1998 | EPD Congress1998，，： | 1 |
| 6 | Combustionof Plastics Contained in Electric and Electronic Scrap 显示文摘 | MENAD N BJORKMAN BO ALLAIN ERIC G | 1998 | Resources Conservation and Recycling1998，24，1： | 1 |
| 7 | Representativeness of an automobile shredder residue sample for a verification analysis 显示文摘 | PINEAU J L KANARI N MENAD N | 2005 | Waste Management2005，25，7： | 1 |
| 8 | Characteristics of steel slag under different cooling conditions 显示文摘 | Tossavainen M Engstrom F Yang Q Menad N ea tl | 2007 | Waste Management2007，，27： | 1 |
| 9 | Combustion of plastics contained in electric and electronic scrap显示文摘 | Menad N Bjorkman B Allain E G | 1998 | Resources Conservation and Recycling1998，2，4： | 1 |
| 10 | Cathode ray tube recycling显示文摘 | N. Menad | 1999 | Resources Conservation & Recycling1999，，3： | 1 |
| 11 | Helicopter Gearbox Vibrations: Cyclostationary Analysis or Bilinear Approach? 显示文摘 | Laurent Bouilaut Menad Sidahmed | 2001 | ISSPA2001，，： | 1 |
| 12 | Cathode ray tube recycling 显示文摘 | Menad N | 1999 | Resources Conservation and Recycling1999，26，34： | 1 |
| 13 | Carbonation of municipal solid waste incineration fly ash and the impact on metal mobility显示文摘 | Ecke H Menad N Lagerkvist A | 2003 | J Enviro Eng-ASCE2003，129，5： | 1 |
| 14 | Combustion of plastics contained in electric and electronic scrap显示文摘 | Menad N Bjorkman B Allain E G | 1998 | Resources Conservation and Recycling1998，24，1： | 1 |
| 15 | Combustion of plastics contained in electronic and electronic scrap显示文摘 | MENAD N BJORLMAN B ALLAIN E G | 1998 | Resources Conservation and Recycling1998，24，1： | 1 |
| 16 | Cathode ray tube recycling显示文摘 | | 1999 | Resources Conservation and Recycling1999，26，34： | 1 |
| 17 | Combustion of plastics contained in electric and electronic scrap显示文摘 | Bjorkman B Allain E G | 1998 | Resources Conservation and Recycling1998，24，1： | 1 |
| 18 | Me- tals recycling form electronic scrap by air table separation theory and application显示文摘 | Zhang Shunli Forssberg Eric Menad Nourredine | 1998 | Waste Manag Resource Recovery1998，18，1： | 1 |
| 19 | Predicting wax deposition using robust machine learning techniques显示文摘Accurate prediction of wax deposition is of vital interest in digitalized systems to avoid many issues that interrupt the flow assurance during production of hydrocarbon fluids.The present investigation aims at establishing rigorous intelligent schemes for predicting wax deposition under extensive production conditions.To do so,multilayer perceptron(MLP)optimized with Levenberg-Marquardt algorithm(MLPLMA)and Bayesian Regularization algorithm(MLP-BR)were taught using 88 experimental measurements.These latter were described by some independent variables,namely temperature(in K),specific gravity,and compositions of C1eC3,C4eC7,C8eC15,C16eC22,C23eC29 and C30þ.The obtained results showed that MLP-LMA achieved the best performance with an overall root mean square error of 0.2198 and a coefficient of determination(R2)of 0.9971.The performance comparison revealed that MLP-LMA outperforms the prior approaches in the literature. | Menad Nait Amar Ashkan Jahanbani Ghahfarokhi Cuthbert Shang Wui Ng | 2022 | Petroleum2022，8，2： | 1 |
| 20 | Combustion of plastics contained in electronic and electronic scrap 显示文摘 | MENAD N BJORKMAN B ALLAIN E G | 1998 | Resources Conservation and Recycling1998，24，1： | 1 |
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