Title :
A New Parameter Identification Method for Hydraulic Fractured Gas Wells
Author :
Tiejun, Li ; Dali, Guo ; Chao, Min
Author_Institution :
Sch. of Sci., Southwest Pet. Univ., Chengdu, China
Abstract :
The relaxation search algorithm to identify the parameters of hydraulic fractured gas wells is developed in this paper based on the inductive matrix. According to the optimization theory and parallel computation method, the parameters to be identified are divided into 2 parts and a set of software for hydraulic fracturing simulation is designed, which is suitable to run on parallel computers. The reliability of the method is verified by practical data, and the convergence rate is square. One can obtain the fracture geometry and formation parameters when doing hydraulic fracturing reliably with this new method.
Keywords :
fracture; hydrocarbon reservoirs; natural gas technology; parameter estimation; search problems; gas wells; hydraulic fracturing; inductive matrix; optimization theory; parallel computation method; parameter identification method; search algorithm; Biological system modeling; Fitting; Parameter estimation; Permeability; Petroleum; Production; Software; Gas Wells; formation parameters; historic fitting; hydraulic fracturing; parameter identification;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.243
