Simulation Study of Wellbore Collapse in Fractured Rock-Like Samples Based on 3D Printing

Abstract To study the wellbore collapse patterns in inclined sections of wells within fractured formations, methods such as 3D printing and CT scanning were used to obtain rough fracture surfaces of deep shale. Layered casting was employed to prepare rock-like samples with varying fracture inclinations and rough surfaces. Triaxial experiments were conducted to explore the impact of different drilling methods on wellbore collapse in these sections. The experimental results showed: (1) Fractured rock-like samples prepared using 3D printing and layered casting can substitute deep shale for studying wellbore collapse patterns in inclined sections. (2) When simulating horizontal drilling along the maximum horizontal principal stress, the wellbore remained relatively stable. In contrast, drilling along the minimum horizontal principal stress led to severe wellbore collapse, especially shear slip collapse along bedding fractures at a 60° dip angle. (3) Taking into account the wellbore trajectory, the mechanical weakness of bedding fractures, and their spatial distribution, it is recommended to drill horizontal wells along the direction of maximum horizontal principal stress. The critical collapse density was also predicted. These findings provide a basis for the preparation of fractured rock-like samples and offer a valuable reference for understanding wellbore collapse mechanisms in fractured formations.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2025-09-01
DOI
https://doi.org/10.1088/1742-6596/3048/1/012069
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation Study of Wellbore Collapse in Fractured Rock-Like Samples Based on 3D Printing

Bo Yang, Houbin Liu, J van der Lei, Chunyu Feng et al.
1 links
Journal of Physics Conference Series
Drilling and Well Engineering
article

Simulation Study of Wellbore Collapse in Fractured Rock-Like Samples Based on 3D Printing

Bo Yang, Houbin Liu, J van der Lei, Chunyu Feng, Shuang Du
article en

Abstract

Abstract To study the wellbore collapse patterns in inclined sections of wells within fractured formations, methods such as 3D printing and CT scanning were used to obtain rough fracture surfaces of deep shale. Layered casting was employed to prepare rock-like samples with varying fracture inclinations and rough surfaces. Triaxial experiments were conducted to explore the impact of different drilling methods on wellbore collapse in these sections. The experimental results showed: (1) Fractured rock-like samples prepared using 3D printing and layered casting can substitute deep shale for studying wellbore collapse patterns in inclined sections. (2) When simulating horizontal drilling along the maximum horizontal principal stress, the wellbore remained relatively stable. In contrast, drilling along the minimum horizontal principal stress led to severe wellbore collapse, especially shear slip collapse along bedding fractures at a 60° dip angle. (3) Taking into account the wellbore trajectory, the mechanical weakness of bedding fractures, and their spatial distribution, it is recommended to drill horizontal wells along the direction of maximum horizontal principal stress. The critical collapse density was also predicted. These findings provide a basis for the preparation of fractured rock-like samples and offer a valuable reference for understanding wellbore collapse mechanisms in fractured formations.

Journal of Physics Conference SeriesVol. 3048(1)
Southwest Petroleum University (CN)
Openalex Percentile: Top 70%
Drilling and Well Engineering
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.