An optimal method for prediction and adjustment on byproduct gasholder level and self-provided power plant gas supply was proposed.This work raises the HP-ENN-LSSVM model based on the Hodrick-Prescott filter,Elman neu...An optimal method for prediction and adjustment on byproduct gasholder level and self-provided power plant gas supply was proposed.This work raises the HP-ENN-LSSVM model based on the Hodrick-Prescott filter,Elman neural network and least squares support vector machines.Then,according to the prediction,the optimal adjustment process came up by a novel reasoning method to sustain the gasholder within safety zone and the self-provided power plant boilers in economic operation,and prevent unfavorable byproduct gas emission and equipment trip as well.The experiments using the practical production data show that the proposed method achieves high accurate predictions and the optimal byproduct gas distribution,which provides a remarkable guidance for reasonable scheduling of byproduct gas.展开更多
Scientific site selection is the first step in constructing underground water-sealed petroleum storage depots, but no uniform standard and code for such activity has been established. Therefore, the main objective of ...Scientific site selection is the first step in constructing underground water-sealed petroleum storage depots, but no uniform standard and code for such activity has been established. Therefore, the main objective of this study is to propose an evaluation method for the site selection of an underground water-sealed petroleum storage depot. The first large underground water-sealed petroleum storage depot being built in China served as the background of this study. The following 12 indexes were used as evaluation factors based on comprehensive evaluation criteria and specifications for key project site selection: geographic structure development feature, topographic feature, lithostratic formation feature, crustal stress, strength of rock mass, joint development feature, hydrogeological conditions, long-term water sealing conditions, environmental/ecological vulnerability, regional stability, technical and economic conditions, and meteorological and hydrological conditions. The weight back analysis and power coefficient methods were also used to evaluate the site selected for the first underground water-sealed petroleum storage depot project. Petroleum site classification models based on the two aforementioned methods were established and used to verify the feasibility of the evaluation criteria and methods, and the evaluation results show the grade of the site selected for the underground water-sealed petroleum storage depot in Huangdao, China is good. The study results may be used as a reference for the site selection of future underground water-sealed petroleum storage depots.展开更多
基金Project(51066002/E060701) supported by the National Natural Science Foundation of ChinaProject(U0937604) supported by the NSFC-Yunnan Joint Fund of China
文摘An optimal method for prediction and adjustment on byproduct gasholder level and self-provided power plant gas supply was proposed.This work raises the HP-ENN-LSSVM model based on the Hodrick-Prescott filter,Elman neural network and least squares support vector machines.Then,according to the prediction,the optimal adjustment process came up by a novel reasoning method to sustain the gasholder within safety zone and the self-provided power plant boilers in economic operation,and prevent unfavorable byproduct gas emission and equipment trip as well.The experiments using the practical production data show that the proposed method achieves high accurate predictions and the optimal byproduct gas distribution,which provides a remarkable guidance for reasonable scheduling of byproduct gas.
基金financially supported by a grant from The National Natural Science Foundation of China(Grant Nos.51379112 and 51422904)the National Program on Key Basic Research Project of China(973 Program)(Grant No.2013CB036002)+1 种基金the National Natural Science Foundation of China(Grant No.51309144)the Fundamental Research Funds of Shandong University(Grant No.2015JX003)
文摘Scientific site selection is the first step in constructing underground water-sealed petroleum storage depots, but no uniform standard and code for such activity has been established. Therefore, the main objective of this study is to propose an evaluation method for the site selection of an underground water-sealed petroleum storage depot. The first large underground water-sealed petroleum storage depot being built in China served as the background of this study. The following 12 indexes were used as evaluation factors based on comprehensive evaluation criteria and specifications for key project site selection: geographic structure development feature, topographic feature, lithostratic formation feature, crustal stress, strength of rock mass, joint development feature, hydrogeological conditions, long-term water sealing conditions, environmental/ecological vulnerability, regional stability, technical and economic conditions, and meteorological and hydrological conditions. The weight back analysis and power coefficient methods were also used to evaluate the site selected for the first underground water-sealed petroleum storage depot project. Petroleum site classification models based on the two aforementioned methods were established and used to verify the feasibility of the evaluation criteria and methods, and the evaluation results show the grade of the site selected for the underground water-sealed petroleum storage depot in Huangdao, China is good. The study results may be used as a reference for the site selection of future underground water-sealed petroleum storage depots.
