维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

1篇 您的检索式：作者名="Mehdi Baharimoghadam"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Fractured reservoir history matching improved based on artificial intelligent显示文摘In this paper,a new robust approach based on Least Square Support Vector Machine(LSSVM)as a proxy model is used for an automatic fractured reservoir history matching.The proxy model is made to model the history match objective function(mismatch values)based on the history data of the field.This model is then used to minimize the objective function through Particle Swarm Optimization(PSO)and Imperialist Competitive Algorithm(ICA).In automatic history matching,sensitive analysis is often performed on full simulation model.In this work,to get new range of the uncertain parameters(matching parameters)in which the objective function has a minimum value,sensitivity analysis is also performed on the proxy model.By applying the modified ranges to the optimization methods,optimization of the objective function will be faster and outputs of the optimization methods(matching parameters)are produced in less time and with high precision.This procedure leads to matching of history of the field in which a set of reservoir parameters is used.The final sets of parameters are then applied for the full simulation model to validate the technique.The obtained results show that the present procedure in this work is effective for history matching process due to its robust dependability and fast convergence speed.Due to high speed and need for small data sets,LSSVM is the best tool to build a proxy model.Also the comparison of PSO and ICA shows that PSO is less time-consuming and more effective.	Sayyed Hadi Riazi Ghasem Zargar Mehdi Baharimoghadam Bahman Moslemi Ebrahim Sharifi Darani	2016	Petroleum2016，2，4：	0

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费