Numerical simulation and parameter analysis of liquid nitrogen cooling for high temperature granites

Liquid nitrogen stimulation has important application value in the fields of deep geothermal development, and unconventional oil and gas reservoir exploitation. It is difficult to experimentally observe the evolution of temperature and cryogenic-induced stress inside the rock during the cooling process. Numerical simulation complements the experimental difficulties. In this study, the liquid nitrogen cooling process of high temperature granite under different parameters is studied by numerical simulation. The results show that a higher heat transfer coefficient and model initial temperature enhance the heat transfer efficiency of the cooling process, thus resulting in more severe cryogenic-induced stresses. Young?s modulus and expansion coefficient are independent of the temperature distribution during the cooling process. Higher Young?s modulus amplifies stress under identical thermal contraction constraints. Higher expansion coefficients enhance the thermal strains and thermal strain incompatibility, thus elevating the cryogenic-induced stresses. This study will provide the theoretical basis for the application of liquid nitrogen in reservoir stimulation.

Authors

Institutions

Publication Details

Journal
Thermal Science
Published
2025-01-01
DOI
https://doi.org/10.2298/tsci2502463z
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Numerical simulation and parameter analysis of liquid nitrogen cooling for high temperature granites

Chengzheng Cai, Feng Gao, Chunbo Zhou, Shanjie Su
Thermal Science
CO2 Sequestration and Geologic Interactions
article

Numerical simulation and parameter analysis of liquid nitrogen cooling for high temperature granites

Chengzheng Cai, Feng Gao, Chunbo Zhou, Shanjie Su
article en

Abstract

Liquid nitrogen stimulation has important application value in the fields of deep geothermal development, and unconventional oil and gas reservoir exploitation. It is difficult to experimentally observe the evolution of temperature and cryogenic-induced stress inside the rock during the cooling process. Numerical simulation complements the experimental difficulties. In this study, the liquid nitrogen cooling process of high temperature granite under different parameters is studied by numerical simulation. The results show that a higher heat transfer coefficient and model initial temperature enhance the heat transfer efficiency of the cooling process, thus resulting in more severe cryogenic-induced stresses. Young?s modulus and expansion coefficient are independent of the temperature distribution during the cooling process. Higher Young?s modulus amplifies stress under identical thermal contraction constraints. Higher expansion coefficients enhance the thermal strains and thermal strain incompatibility, thus elevating the cryogenic-induced stresses. This study will provide the theoretical basis for the application of liquid nitrogen in reservoir stimulation.

Thermal ScienceVol. 29(2 Part B)
Xuzhou University of Technology (CN), China University of Mining and Technology (CN), Qingdao University of Technology (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 89%
CO2 Sequestration and Geologic Interactions
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.

Numerical simulation and parameter analysis of liquid nitrogen cooling for high temperature granites — Chengzheng Cai, Feng Gao, et al. · Thermal Science (2025) | TGRS Research Map | TGRS