@incollection{,
	
					
					
					5C97D1ABEC3A2A7D09738544673E3184
				,
	author={{P.Manda} and {D.B.Nkazi}},
	journal={{Global Journal of Researches in Engineering}},
	journal={{GJRE}}2249-45960975-586110.34257/gjre,
	address={Cambridge, United States},
	publisher={Global Journals Organisation}205116
}

@incollection{b0,
	
	
		,
	title={{Decline curve analysis using type curves}}
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	author={{
			MJFetkovich
		}}
	
	
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@incollection{b1,
	
	
		,
	title={{Methods of decline curve analysis for shaleg as reservoirs}}
		,
	author={{
			LTan
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			LZuo
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			BAndwang
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	journal={{Energies}}
		
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			552
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	year={2018}
		
	

}

@incollection{b2,
	
	
		,
	title={{Decline Curve Analysis: A Comparative Study of Proposed Models Using Improved Residual Functions}}
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	author={{
			MParyani
		} and {
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	journal={{J. Pet. Environ. Biotechnol}}
		
			9
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	year={2018}
		
	

}

@incollection{b3,
	
	
		,
	title={{Stock price prediction using the ARIMA model}}
		,
	author={{
			AAAriyo
		} and {
			AOAdewumi
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	booktitle={{UKSim-AMSS 16th International Conference on Computer Modelling and Simulation. IEEE March}}
				
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}

@incollection{b4,
	
	
		,
	title={{A movingaverage filter based hybrid ARIMA-ANN model for forecasting time series data}}
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			CNBabu
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			BEReddy
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	journal={{Applied Soft Computing}}
		
			23
			
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@incollection{b5,
	
	
		,
	title={{Using artificial neural network models in stock market index prediction}}
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	title={{Verhulst and the logistic equation (1838)}}
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@incollection{b7,
	
	
		,
	title={{Are ARIMA network hybrids better than single models?}}
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	author={{
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		} and {
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@incollection{b8,
	
	
		,
	title={{A Hybrid Neural Network and ARIMA Model for Water Quality Time Series Prediction}}
		,
	author={{
			DÖFaruk
		}}
	
	
		,
	journal={{Eng. Appl. Artif. Intell}}
		
			23
			
			,
	year={2010}
		
	

}

@incollection{b9,
	
	
		,
	title={{Comparative Study of an ANN-ARIMA Hybrid Model for Predicting Karachi Stock Price}}
		,
	author={{
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		} and {
			YZJafri
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	journal={{American Journal of Mathematics}}
		
			10
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}

@incollection{b10,
	
	
		,
	title={{ARIMA models to predict nextday electricity prices}}
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	author={{
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		} and {
			REspinola
		} and {
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		} and {
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		}}
		
		
		
	
	
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}

@book{b11,
	
	
		,
	title={{Time series forecasting using a hybrid ARIMA and neural network model}}
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	author={{
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@incollection{b12,
	
	
		,
	title={{Forecasting of demand using ARIMA model}}
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		} and {
			LEzzine
		} and {
			ZAman
		} and {
			HEl Moussami
		} and {
			ALachhab
		}}
		
		
		
		
	
	
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	journal={{International Journal of Engineering Business}}
		
			10
			
			,
	year={2018}
		
	

}

@incollection{b13,
	
	
		,
	title={{Artificial neural network time series modelling for revenue forecasting}}
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	author={{
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@incollection{b14,
	
	
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	title={{Designing a neural network for forecasting financial}}
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	author={{
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@incollection{b15,
	
	
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	title={{Forecasting analysis of consumer goods demand using neural networks and ARIMA}}
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@incollection{b16,
	
	
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	title={{A neural network architecture for load forecasting}}
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@incollection{b17,
	
	
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	title={{Decline Curve Analysis and Production Forecast Studies for Oil Well Performance Prediction: A Case Study of Reservoir X}}
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	journal={{Int. J. Eng. Sci. (IJES)}}
		
			7
			
			,
	year={2018}
		
	

}

@incollection{b18,
	
	
		,
	title={{Production decline models: A comparison study}}
		,
	author={{
			TAAli
		} and {
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		}}
		
	
	
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	booktitle={{Proceedings of the SPE Eastern Regional Meeting}}
				the SPE Eastern Regional MeetingMorgantown, WV, USA
		
			,
	year={2015. October 2015}
			
		
	

}

@incollection{b19,
	
	
		,
	title={{Comparison of typical curve models for shale gas production decline prediction}}
		,
	author={{
			BYuhu
		} and {
			CGuihua
		} and {
			XBingxiang
		} and {
			FRuyong
		} and {
			CAndling
		}}
		
		
		
		
	
	
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	journal={{China Pet. Explor}}
		
			21
			
			,
	year={2016}
		
	

}

@incollection{b20,
	
	
		,
	title={{A new production decline model for horizontal wells in lowpermeability reservoirs}}
		,
	author={{
			PLi
		} and {
			MHao
		} and {
			JHu
		} and {
			ZRu
		} and {
			ZAndli
		}}
		
		
		
		
	
	
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	journal={{J. Pet. Sci. Eng}}
		
			171
			
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	year={2018}
		
	

}

@book{b21,
	
	
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	title={{Proceedings of the International Field Exploration and Development Conference}}
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	editor={
			ZQu
			JEAndlin
		}
		the International Field Exploration and Development ConferenceSingapore
		
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	publisher={Springer}
			,
	year={2018. 2017}
		
	

}

@incollection{b22,
	
	
		,
	title={{Rate-decline analysis for fracture-dominated shale reservoirs}}
		,
	author={{
			ANDuong
		}}
	
	
		,
	journal={{SPE Reserv. Eval. Eng}}
		
			14
			
			,
	year={2011}
		
	

}

@book{b23,
	
	
		,
	title={{Integrative Understanding of Shale Gas Reservoirs}}
		,
	author={{
			KSLee
		} and {
			THKim
		}}
		
		
			,
	year={2016}
			,
	publisher={Springer}
			,
	address={Heidelberg, Germany}
		
	

}

@incollection{b24,
	
	
		,
	title={{Exponential vs hyperbolic decline in tight gas sands: Understanding the origin and implications for reserve estimates using Arps decline curves}}
		,
	author={{
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		} and {
			JARushing
		} and {
			ADPerego
		} and {
			TABlasingame
		}}
		
		
		
	
	
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	booktitle={{Proceedings of the SPE Annual Technical Conference and Exhibition}}
				the SPE Annual Technical Conference and ExhibitionDenver, CO, USA
		
			,
	year={2008. September 2008}
			
		
	

}

@incollection{b25,
	
	
		,
	title={{Application of the power law loss-ratio method of decline analysis}}
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		} and {
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		} and {
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		}}
		
		
	
	
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	booktitle={{Proceedings of the Canadian International Petroleum Conference}}
				the Canadian International Petroleum ConferenceCalgary, AB, Canada
		
			,
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}

@incollection{b26,
	
	
		,
	title={{Comparison of power law and modified hyperbolic decline methods}}
		,
	author={{
			JNSeshadri
		} and {
			LMattar
		}}
		
	
	
		,
	booktitle={{Proceedings of the Canadian Unconventional Resources and International Petroleum Conference}}
				the Canadian Unconventional Resources and International Petroleum ConferenceCalgary, AB, Canada
		
			,
	year={2010. October 2010}
			
		
	

}

@incollection{b27,
	
	
		,
	title={{Comparison of Empirical Decline Curve Methods for Shale Wells}}
		,
	author={{
			MSKanfar
		} and {
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		}}
		
	
	
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	booktitle={{Proceedings of the SPE Canadian Unconventional Resources Conferences}}
				the SPE Canadian Unconventional Resources ConferencesCalgary, AB, Canada
		
			,
	year={2012. 30 October-1 November 2012}
		
	

}

@incollection{b28,
	
	
		,
	title={{A new production decline model for horizontal wells in lowpermeability reservoirs}}
		,
	author={{
			PLi
		} and {
			MHao
		} and {
			JHu
		} and {
			ZRu
		} and {
			ZAndli
		}}
		
		
		
		
	
	
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	journal={{J. Pet. Sci. Eng}}
		
			171
			
			,
	year={2018}
		
	

}

@book{b29,
	
	
		,
	title={{Improving forecasting accuracy of time series data using anew ARIMA-ANN hybrid method and empirical mode decomposition}}
		,
	author={{
			ÜÇBüyük?ahin
		} and {
			?Ertekin
		}}
		
		
			,
	year={2019}
			361
			
		
	

}

@incollection{b30,
	
	
		,
	title={{Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs)}}
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			GA RArdali
		}}
		
		
	
	
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	journal={{Neurocomputing}}
		
			72
			4-6
			
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	year={2009}
		
	

}

@incollection{b31,
	
	
		,
	title={{Methods of decline curve analysis for shale gas reservoirs}}
		,
	author={{
			LTan
		} and {
			LZuo
		} and {
			BWang
		}}
		
		
	
	
		,
	journal={{Energies}}
		
			11
			3
			552
			,
	year={2018}
		
	

}

@incollection{b32,
	
	
		,
	title={{Comparison of decline curve analysis methods with analytical models in unconventional plays}}
		,
	author={{
			MPMeyet Me Ndong
		} and {
			RDutta
		} and {
			CAndburns
		}}
		
		
	
	
		,
	booktitle={{Proceedings of the SPE Annual Technical Conference and Exhibition}}
				the SPE Annual Technical Conference and ExhibitionNew Orleans, LA, USA
		
			,
	year={2013. 30 September-2 October 2013}
		
	

}

@incollection{b33,
	
	
		,
	title={{Production decline models: A comparison study}}
		,
	author={{
			TAAli
		} and {
			JJSheng
		}}
		
	
	
		,
	booktitle={{Proceedings of the SPE Eastern Regional Meeting}}
				the SPE Eastern Regional MeetingMorgantown, WV, USA
		
			,
	year={2015. October 2015}
			
		
	

}

@incollection{b34,
	
	
		,
	title={{Benchmarking EUR estimates for hydraulically fractured wells with and without fracture hits using various DCA methods}}
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		} and {
			RWeijermars
		} and {
			LZuo
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	journal={{J. Pet. Sci. Eng}}
		
			162
			
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	year={2018}
		
	

}

@incollection{b35,
	
	
		,
	title={{Production decline analysis lessons from classic shale gas wells}}
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		}}
	
	
		,
	booktitle={{Proceedings of the SPE Annual Technical Conference and Exhibition}}
				the SPE Annual Technical Conference and ExhibitionNew Orleans, LA, USA
		
			,
	year={2013. 30 September-2 October 2013}
		
	

}

@incollection{b36,
	
	
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	title={{An application of the ARIMA model to real-estate prices in Hong Kong}}
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@incollection{b37,
	
	
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	title={{Approximation by Superposition's of a Sigmoidal Function}}
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@incollection{b38,
	
	
		,
	title={{Neural Network Models for Time Series Forecasts}}
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@incollection{b39,
	
	
		,
	title={{A Hybrid Neural Network and ARIMA Model for Water Quality TimeSeries Prediction}}
		,
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			DÖFaruk
		}}
	
	
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	journal={{Engineering Applications of Artificial Intelligence}}
		
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}

@book{b40,
	
	
		,
	author={{
			TTaskaya-Temizel
		} and {
			KAhmad
		}}
		
		,
	title={{Are ARIMA Neural Network Hybrids Better than Single Models? In: Proceedings of the IEEE International Joint Conference on Neural Networks5}}
				
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	year={2005}
			
		
	

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@book{b41,
	
	
		,
	title={{Production Decline Analysis of Horizontal Wellin GasShale Reservoirs}}
		,
	author={{
			FAdekoya
		}}
		
			,
	year={2009}
			,
	address={Morgantown, WV, USA}
		
		
			West Virginia University
		
	
	,
	note={Master's Thesis}

}

@incollection{b42,
	
	
		,
	title={{Forecasting of Horizontal Gas Well Production Declinein Unconventional Reservoirs using Productivity, Soft Computing and Swarm Intelligence Models}}
		,
	author={{
			ETBrantson
		} and {
			BJu
		} and {
			YYZiggah
		} and {
			PHAkwensi
		} and {
			YSun
		} and {
			DWu
		} and {
			BJAddo
		}}
		
		
		
		
		
		
	
	
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	journal={{Nat. Resour. Res}}
		
			28
			
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	year={2019}
		
	

}