A long-term fracture conductivity model for shale considering non-linear creep damage, proppant elastic-elastoplastic-plastic embedment, and hydration swelling effects

The prediction of long-term fracture conductivity in shale reservoirs remains challenging. Proppant embedment is exacerbated over time by the nonlinear creep damage behavior of shale, which reduces the effective fracture aperture. Simultaneously, the hydration swelling effect of clay minerals further constricts seepage channels, leading to a decline in conductivity. To achieve reliable prediction of long-term conductivity, this study aims to develop a novel analytical model that systematically integrates both creep damage and hydration swelling effects, providing an evaluation tool for fracturing design optimization. Compared to existing analytical models, the innovations and relative advantages of the proposed model are threefold: (1) It fully incorporates the elastic-elastoplastic-plastic stages of proppant embedment and the associated volume changes of the proppant pack; (2) It establishes a nonlinear creep damage model that considers the influence of the temperature field; (3) It couples the effects of hydration swelling, sparse proppant distribution, and proppant crushing in the fracture permeability calculation, thereby significantly enhancing the model’s predictive reliability. The results indicate that an increase in closure pressure triggers a transition in proppant embedment from the elastic to the plastic stage, reducing the normalized long-term conductivity while increasing the optimal proppant distance coefficient. For reservoirs with high closure pressure, it is recommended to employ higher proppant concentrations to maintain long-term fracture conductivity. Prolonged creep time aggravates proppant embedment and reduces conductivity. An increase in the damage factor and the thermal damage variable intensifies fracture wall deformation, leading to greater proppant embedment depth and a decrease in normalized long-term conductivity. Concurrently, increasing fracturing fluid viscosity within a certain range can effectively reduce shale hydration swelling volume and enhance fracture conductivity. For non-uniform placement at fixed areal concentrations, reducing proppant size or increasing layer count enhances conductivity while decreasing the optimal distance coefficient.

Authors

Institutions

Publication Details

Journal
Computers and Geotechnics
Published
2026-04-10
DOI
https://doi.org/10.1016/j.compgeo.2026.108134
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A long-term fracture conductivity model for shale considering non-linear creep damage, proppant elastic-elastoplastic-plastic embedment, and hydration swelling effects

Lianheng Zhao, Shuxing Mu, Ao Zhang, Sanfeng Liu
Computers and Geotechnics
Rock Mechanics and Modeling
article

A long-term fracture conductivity model for shale considering non-linear creep damage, proppant elastic-elastoplastic-plastic embedment, and hydration swelling effects

Lianheng Zhao, Shuxing Mu, Ao Zhang, Sanfeng Liu
article en

Abstract

The prediction of long-term fracture conductivity in shale reservoirs remains challenging. Proppant embedment is exacerbated over time by the nonlinear creep damage behavior of shale, which reduces the effective fracture aperture. Simultaneously, the hydration swelling effect of clay minerals further constricts seepage channels, leading to a decline in conductivity. To achieve reliable prediction of long-term conductivity, this study aims to develop a novel analytical model that systematically integrates both creep damage and hydration swelling effects, providing an evaluation tool for fracturing design optimization. Compared to existing analytical models, the innovations and relative advantages of the proposed model are threefold: (1) It fully incorporates the elastic-elastoplastic-plastic stages of proppant embedment and the associated volume changes of the proppant pack; (2) It establishes a nonlinear creep damage model that considers the influence of the temperature field; (3) It couples the effects of hydration swelling, sparse proppant distribution, and proppant crushing in the fracture permeability calculation, thereby significantly enhancing the model’s predictive reliability. The results indicate that an increase in closure pressure triggers a transition in proppant embedment from the elastic to the plastic stage, reducing the normalized long-term conductivity while increasing the optimal proppant distance coefficient. For reservoirs with high closure pressure, it is recommended to employ higher proppant concentrations to maintain long-term fracture conductivity. Prolonged creep time aggravates proppant embedment and reduces conductivity. An increase in the damage factor and the thermal damage variable intensifies fracture wall deformation, leading to greater proppant embedment depth and a decrease in normalized long-term conductivity. Concurrently, increasing fracturing fluid viscosity within a certain range can effectively reduce shale hydration swelling volume and enhance fracture conductivity. For non-uniform placement at fixed areal concentrations, reducing proppant size or increasing layer count enhances conductivity while decreasing the optimal distance coefficient.

Computers and GeotechnicsVol. 196
Central South University (CN), Hunan Provincial Center for Disease Control and Prevention (CN), Education Department of Hunan Province (CN)
China Scholarship Council, Fundamental Research Funds for Central Universities of the Central South University
Openalex Percentile: Top 25%
Rock Mechanics and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.