On the uncertainty of interwell connectivity estimations from the capacitance-resistance model

作     者：Gustavo A Moreno Larry W Lake 

作者机构：YPF Macacha Güemes 515 YPF-Tecnología Baradero S/N (1925) Center for Petroleum and Geosystems Engineering University of Texas at Austin 

出 版 物：《Petroleum Science》 (石油科学（英文版）)

年 卷 期：2014年第11卷第2期

页      面：265-271页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 082002[工学-油气田开发工程] 

基　　金：YPF for financial support and to the Center for Petroleum Asset Risk Management of the University of Texas at Austin for hospitality and an exciting research environment 

主　　题：Data-driven models capacitance-resistance model secondary recovery waterfloodoptimization interwell connectivities 

摘      要：The capacitance-resistance model （CRM） is an alternative to conventional reservoir simulation. CRM, a simplification of complex numerical models, uses production and injection rates to infer a reservoir description. There is no prior geologic model. The principal output of CRM fitting is the fraction of injected fluid （usually water） that is produced at a producer at steady-state. These fractions are interwell connectivities. Interwell connectivities are fundamental information needed to manage waterfloods in oil reservoirs. The data-driven CRM is a fast tool to estimate these parameters in mature fields and allows one to make full use of the dynamic data available. This paper considers the problem of setting an upper bound on the uncertainty of interwell connectivities for linear-constrained models. Using analytical bounds and numerical simulations, we derive a consistent upper limit on the uncertainty of interwell connections that can be used to quantify the information content of a given dataset.