Analytical Model for Rate Transient Behavior of Co-Production between Coalbed Methane and Tight Gas Reservoirs

Shi Shi, Longmei Zhao, Nan Wu, Li Huang, Yawen Du, Hanxing Cai, Wenzhuo Zhou, Yanzhong Liang () and Bailu Teng ()
Additional contact information
Shi Shi: National Engineering Research Center of Coalbed Methane Development & Utilization, Beijing 100095, China
Longmei Zhao: National Engineering Research Center of Coalbed Methane Development & Utilization, Beijing 100095, China
Nan Wu: National Engineering Research Center of Coalbed Methane Development & Utilization, Beijing 100095, China
Li Huang: National Engineering Research Center of Coalbed Methane Development & Utilization, Beijing 100095, China
Yawen Du: School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China
Hanxing Cai: School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China
Wenzhuo Zhou: School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China
Yanzhong Liang: School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China
Bailu Teng: School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China

Sustainability, 2024, vol. 16, issue 21, 1-15

Abstract: Due to complex geological structures and potential environmental impacts, single-well production in coal-measure gas reservoirs is not satisfactory. Field studies have shown that co-production is a promising approach, which can efficiently and economically extract multiple gas resources. However, the literature lacks a mathematical model to accurately describe and predict the production behavior during co-production. Based on the five-linear flow model, this work presents an analytical solution to evaluate the production dynamics characteristics of co-production between coalbed methane and tight gas reservoirs. In addition, the proposed model accounts for factors such as dual-porosity media, the gas slippage effect, and the matrix shrinkage effect. With the aid of the model, sensitivity analyses of the Blasingame decline curve and the layered flux contribution are conducted. The calculation results show that a higher fracture conductivity, as well as a longer fracture length, lead to larger cumulative production. Additionally, increased layer thickness significantly boosts flux contribution throughout the production period. Finally, large boundary distances extend the duration of high flux contributions in late production. This research contributes to a better understanding of the production dynamics in coal-measure gas reservoirs and offers practical guidelines for reservoir management in co-production scenarios.

Keywords: rate transient behavior; coal-measure reservoir; analytical model; co-production (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/21/9505/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/21/9505/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:21:p:9505-:d:1511813

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().