Optimization of construction parameters for deep coal rock fracturing based on response surface methodology

In order to comprehensively improve the fracturing effect of deep coal and rock gas, the optimization research of deep coal and rock fracturing construction parameters based on response surface method is carried out with the perforation section length, injection displacement and cluster spacing as the design parameters and the transformation rate of coal and rock reservoir as the target response. Taking the formation parameters of the research block as the engineering background, Abaqus software is used to establish a fine numerical model including coal reservoir and roof and floor. Through single-parameter simulation analysis, the optimal Design range of the single parameter was selected, and multiparameter simulation analysis based on Box-Behnken method was carried out by Design-Expert 13 software. The significance level of the influence of design parameters on the target response was analyzed by F-test method, and the response surface analysis under the interaction of each parameter was obtained. The results show that the response surface contour is elliptical, and the interaction between the three parameters of perforation section length, injection displacement and cluster spacing is obvious and significant. The parameters optimized by response surface method are as follows: perforation section length 3m, injection displacement 19m<sup>3</sup> /min and cluster spacing 22m. When the optimized construction parameters are applied to the target well, the reservoir reconstruction rate and daily gas production of the well are higher than that of adjacent Wells.

Authors

Institutions

Publication Details

Published
2025-03-05
DOI
https://doi.org/10.1117/12.3059835
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of construction parameters for deep coal rock fracturing based on response surface methodology

Zhiqiang Huang, Hengda Che, Fubin Xin, Hao Huang et al.
Hydraulic Fracturing and Reservoir Analysis
article

Optimization of construction parameters for deep coal rock fracturing based on response surface methodology

Zhiqiang Huang, Hengda Che, Fubin Xin, Hao Huang, Xiangwei Kong
article en

Abstract

In order to comprehensively improve the fracturing effect of deep coal and rock gas, the optimization research of deep coal and rock fracturing construction parameters based on response surface method is carried out with the perforation section length, injection displacement and cluster spacing as the design parameters and the transformation rate of coal and rock reservoir as the target response. Taking the formation parameters of the research block as the engineering background, Abaqus software is used to establish a fine numerical model including coal reservoir and roof and floor. Through single-parameter simulation analysis, the optimal Design range of the single parameter was selected, and multiparameter simulation analysis based on Box-Behnken method was carried out by Design-Expert 13 software. The significance level of the influence of design parameters on the target response was analyzed by F-test method, and the response surface analysis under the interaction of each parameter was obtained. The results show that the response surface contour is elliptical, and the interaction between the three parameters of perforation section length, injection displacement and cluster spacing is obvious and significant. The parameters optimized by response surface method are as follows: perforation section length 3m, injection displacement 19m<sup>3</sup> /min and cluster spacing 22m. When the optimized construction parameters are applied to the target well, the reservoir reconstruction rate and daily gas production of the well are higher than that of adjacent Wells.

Yangtze University (CN)
Openalex Percentile: Top 96%
Hydraulic Fracturing and Reservoir Analysis
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.