Title :
Optimization background value GM(1,1) model for predicting oil-gas production cost
Author :
Zhao Yue ; Zhao Songzheng
Author_Institution :
Manage. Sch., Northwestern Polytech. Univ., Xian, China
Abstract :
Oil-gas production cost, as an important indicator which reflects the economic benefit of oilfield enterprise, plays a significant role to analyze the economic feasibility. Following taking the characteristics of original GM(1,1) model into account, determinants concerning fitting precision and prediction precision that belong to the original GM(1,1) are identified. Optimization background value GM(1,1) model is proposed to predict oil-gas production cost. Through comparing with the original GM(1,1) model in terms of fitting precision and prediction precision, the results exhibit that the optimization background value GM(1,1) model has the automated optimization background value capability and may ensure the excellent adaptability.
Keywords :
costing; grey systems; optimisation; petroleum industry; GM(1,1) model; automated optimization background value capability; economic feasibility analysis; fitting precision; grey theory; oil-gas production cost prediction; oilfield enterprise; prediction precision; Adaptation models; Analytical models; Computational modeling; Fitting; Optimization; Predictive models; Production; Background value; GM(1,1) model; Oil-gas production cost; Prediction;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234255