Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Effects of placement pattern on the elastoplastic embedment behavior of multi-sized proppants

Authors: Xuanshi Zhu; Wei Liu; Yinlan Fu; Yuanlong Wei; Peiming Zhou; Qihang Li; Yifan Wang;

Effects of placement pattern on the elastoplastic embedment behavior of multi-sized proppants

Abstract

The efficient development of coalbed methane (CBM) resources is of great significance for advancing the energy transition. However, the embedment behavior and quantitative characterization of multi-sized proppants remain key challenges in CBM fracturing design. This study investigates the embedment process of proppants under five placement patterns based on the placement behavior of three commonly used proppant size classes in vertical fractures. Proppant embedment depth was measured using strain gauges and digital image correlation (DIC), while acoustic emission (AE) monitoring was used to investigate damage evolution and energy release during embedment. Three AE-based indicators, namely the unloading count ratio (), the early reactivation coefficient (), and the stepwise increment coefficient (), were introduced to identify the evolution stages of proppant embedment. An elastoplastic embedment model for multi-sized proppants was further established based on Hertzian contact theory and Tabor’s concept and then validated against experimental data. The results show that proppant embedment gradually evolves from elastic-dominated to plastic-dominated deformation with increasing stress, and that multi-sized proppants exhibit smaller embedment depths than single-sized proppants under the same stress level. AE activity shows a progressive temporal evolution; when 13% or < 0.85, accompanied by 2.0, the system exhibits signs of local instability, typically corresponding to concentrated proppant embedment. The proposed model agrees well with the experimental data, with a root mean square error of 0.027. The model shows that embedment depth is closely related to proppant placement pattern. This study provides a theoretical basis for CBM development design.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!