Journal ArticleDOI
Petroleum decline analysis using time series
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TLDR
In this article, the authors used time series models and standard hyperbolic or exponential decline curves to predict the remaining production capacity for producing oil reservoirs in North Dakota and found that the time series methods were more accurate and indicated a forecast function of exponential form.About:
This article is published in Energy Economics.The article was published on 1981-10-01. It has received 4 citations till now. The article focuses on the topics: Time series & Extrapolation.read more
Citations
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Journal ArticleDOI
The Evolution of Giant Oil Field Production Behavior
TL;DR: A strong correlation between depletion-at-peak and average decline rate is found, verifying that high depletion rate leads to rapid decline and implies that depletion analysis can be used to rule out unrealistic production expectations from a known reserve, or to connect an estimated production level to a needed reserve base.
Depletion and decline curve analysis in crude oil production
TL;DR: The black blood that runs through the veins of the modern global energy system has also brought wealth and power to the western world as discussed by the authors, while being the dominant source of energy in the world.
Journal ArticleDOI
Combining water flooding type-curves and Weibull prediction model for reservoir production performance analysis
Feng Liu,Zhimin Du,Xiaofan Chen +2 more
TL;DR: Wang et al. as mentioned in this paper proposed a combined method that is based on water flooding type-curves and Weibull prediction model to analyze the reservoir production performance such as predicting reservoir performance in future and estimating reserve's water cut.
Journal ArticleDOI
A new method used for reservoir production performance analysis
TL;DR: In this paper, a method modified form Weibull model and water flooding type-curves was proposed to analyze the reservoir production performance, including predication of oil production and water injection rates.
References
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Book
Time series analysis, forecasting and control
TL;DR: In this article, a complete revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970 is presented, focusing on practical techniques throughout, rather than a rigorous mathematical treatment of the subject.
Journal ArticleDOI
Time Series Analysis Forecasting and Control
TL;DR: This revision of a classic, seminal, and authoritative book explores the building of stochastic models for time series and their use in important areas of application forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
Book
Forecasting economic time series
Granger C.W.J.,P Newbold +1 more
TL;DR: In this paper, the authors present a theoretical framework for univariate time series forecasting from regression models based on the theory of time series and Spectral Analysis, and combine it with linear time series models.