Rate forecasting during boundary-dominated multiphase flow: The rescaled exponential model

被引:8
|
作者
Zhang, Miao [1 ]
Singh, Madhu [1 ]
Ayala, Luis F. [1 ]
机构
[1] Penn State Univ, University Pk, PA 16802 USA
关键词
Well performance; Boundary dominated flow; Multiphase flow; Rate forecasting; Exponential model; GAS; SYSTEMS; WELLS;
D O I
10.1016/j.petrol.2016.02.010
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Well performance forecasting is an important analytical technique used for field development to guide economic decisions during the life of a reservoir. For the case of dry and liquid-rich gas wells, traditional well performance models are developed based on solving the resultant highly nonlinear gas flow equations via pseudo-pressure and pseudo-time linearization. In this study, we provide a straightforward, density-based alternative to traditional models. We show, as done previously for the case of dry gas wells (Ayala and Zhang, 2013; Mang and Ayala, 2014a), that a rescaled exponential model is a rigorous decline solution that can be extended to liquid-rich gas wells producing under constant bottom hole-flowing-pressure (BHP) during boundary-dominated flow (BDF) and multiphase conditions. The proposed multiphase rescaled-exponential model is derived analytically from governing multiphase flow equations; comparisons between numerically simulated results and proposed analytical model for a variety of combinations of reservoir and fluid properties demonstrate that the proposed rescaled-exponential model is a valid and reliable forecast model for constant-BHP liquid-rich gas wells under BDF. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:199 / 210
页数:12
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