Title: Selection of decline curve analysis method using the cumulative production incline rate for transient production data obtained from a multi-stage hydraulic fractured horizontal well in unconventional gas fields

Authors: Dongkwon Han; Sunil Kwon

Addresses: Department of Energy and Mineral Resources Engineering, Dong-A University, 550-37 Nakdong-daero, Saha-gu, Busan 49315, South Korea ' Department of Energy and Mineral Resources Engineering, Dong-A University, 550-37 Nakdong-daero, Saha-gu, Busan 49315, South Korea

Abstract: This research presents the selection of an appropriate decline curve analysis (DCA) methodology according to the transient production performance of a multi-fractured horizontal well in an unconventional gas field by using the cumulative production incline rate (IQp) The IQp introduced in this research is the change of cumulative production per unit time divided by the cumulative production. The IQp was confirmed for use as an indicator that could generalise and quantify a production decline through the analysis of well production data. The IQp values of eight and four DCA methods were applied to the production data generated by a reservoir simulation. The Duong method forecasted the production trends most accurately when the IQp exceeded 0.25%, while the YM-SEPD method was the most preferable for the rates below 0.05%. In addition, the analysis of production data for shale gas wells in Canada and the USA matched the simulation results, confirming that it would be reasonable to use the IQp in order to select a DCA method to forecast the production of unconventional gas wells. [Received: February 23, 2017; Revised: December 7, 2017; Accepted: December 9, 2017]

Keywords: decline curve analysis; multi-fractured horizontal well; unconventional gas; cumulative production incline rate; Duong method; YM-SEPD method.

DOI: 10.1504/IJOGCT.2018.093140

International Journal of Oil, Gas and Coal Technology, 2018 Vol.18 No.3/4, pp.384 - 401

Received: 24 May 2017
Accepted: 09 Dec 2017

Published online: 10 Jul 2018 *

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