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research-article

Decline Curve Analysis of Fractured Horizontal Wells Through A Segmented Fracture Model

[+] Author and Article Information
Jiazheng Qin

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Beijing 102249, China
jiazhengqin@outlook.com

Shiqing Cheng

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Beijing 102249, China
chengsq@cup.edu.cn

Youwei He

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Beijing 102249, China
youweihe_cupb@163.com

Yang Wang

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Beijing 102249, China
petroyang@163.com

Dong Feng

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Beijing 102249, China
2041239783@qq.com

Zhonglin Yang

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Beijing 102249, China
Yzhonglin_edu@163.com

Dingyi Li

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Beijing 102249, China
515956542@qq.com

Haiyang Yu

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Beijing 102249, China
yuhaiyang@cup.edu.cn

1Corresponding author.

ASME doi:10.1115/1.4040533 History: Received March 21, 2018; Revised May 27, 2018

Abstract

Nowadays, estimation of rate performance of multi-fractured horizontal well (MFHW) has attracted great attention. This paper presents a mathematical model of MFHW with considering segmented fracture (SF) for better evaluation of fracture and reservoir properties. Each SF consists of two parts: fracture segment with high conductivity (FSHC) and fracture segment with low conductivity (FSLC) in segmented fracture model (SFM). Employing the Source function and Green's function, Newman's product method, Duhamel principle, Stehfest inversion algorithm and Laplace transform, production solution of MFHW can be obtained using SFM. Since total production rate is mostly contributed from FSHC rather than FSLC, ignoring this phenomenon may lead to obvious erroneous in parameter interpretation. Thus, clear distinctions can be found between CFM (previous model) and SFM on compound type curves. By using decline curve analysis (DCA), the influences of sensitive parameters (e.g. dimensionless half-length, dimensionless production rate, conductivity and distance between SF) on compound type curves are analyzed. The results of sensitivity analysis explore the possibility of parameter estimation during history matching.

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