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Rate transient analysis methods for water-producing gas wells in tight reservoirs with mobile water.

Authors :
Qingyan Yu
Ying Jia
Pengcheng Liu
Xiangyang Hu
Shengye Hao
Source :
Energy Geoscience. Jan2024, Vol. 5 Issue 1, p1-10. 10p.
Publication Year :
2024

Abstract

Tight gas reservoirs with mobile water exhibit multi-phase flow and high stress sensitivity. Accurately analyzing the reservoir and well parameters using conventional single-phase rate transient analysis methods proves challenging. This study introduces novel rate transient analysis methods incorporating evaluation processes based on the conventional flowing material balance method and the Blasingame type-curve method to examine fractured gas wells producing water. By positing a gas-water two-phase equivalent homogenous phase that considers characteristics of mobile water, gas, and high stress sensitivity, the conventional single-phase rate transient analysis methods can be applied by integrating the phase's characteristics and defining the phase's normalized parameters and material balance pseudotime. The rate transient analysis methods based on the equivalent homogenous phase can be used to quantitatively assess the parameters of wells and gas reservoirs, such as original gas-in-place, fracture half-length, reservoir permeability, and well drainage radius. This facilitates the analysis of production dynamics of fractured wells and well-controlled areas, subsequently aiding in locating residual gas and guiding the configuration of well patterns. The specific evaluation processes are detailed. Additionally, a numerical simulation mechanism model was constructed to verify the reliability of the developed methods. The methods introduced have been successfully implemented in field water-producing gas wells within tight gas reservoirs containing mobile water. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26667592
Volume :
5
Issue :
1
Database :
Academic Search Index
Journal :
Energy Geoscience
Publication Type :
Academic Journal
Accession number :
175218428
Full Text :
https://doi.org/10.1016/j.engeos.2023.100251