Hydraulic fracturing
Fracture-Surface Morphology Analysis and Upscaling Prediction for Post-Fracturing Conductivity Using 3D Laser Scanning
This study develops a quantitative workflow for evaluating how post-fracturing surface morphology affects fracture conductivity. Representative shale fracture surfaces are classified as bedding-related, mirror-like hydraulic, step-like, or reactivated structural fractures. High-resolution 3D laser scanning is used to obtain surface point clouds and calculate Ra, Rq, and Rz roughness parameters, together with scale-dependent roughness behavior and a two-dimensional box-counting fractal dimension.
The results show that bedding-related and step-like fractures generally have stronger surface undulation and geometric complexity than smoother mirror-like fractures. Saturation-type functions describe the evolution of roughness with measurement scale, and the Hill function provides flexible fitting for heterogeneous surfaces. The study then proposes a morphology-aware upscaling framework that connects roughness, contact behavior, equivalent hydraulic aperture, and stress-sensitive conductivity.
ARMA 26-0068, presented at the 60th U.S. Rock Mechanics/Geomechanics Symposium, Tucson, Arizona, June 21-24, 2026.
- Patent or Publication Number
- ARMA 26-0068
- Technical Problem Solved
- Conventional conductivity models often represent fractures as smooth, parallel surfaces with a single ideal aperture. That assumption does not capture the roughness, anisotropy, contact zones, steps, and directional features observed in post-fracturing cores. This work provides a measurable 3D morphology workflow and an upscaling concept for translating core-scale surface data into more realistic conductivity assessment.
- Application Area
- Post-fracturing core evaluation; fracture conductivity prediction; digital-rock and surface-morphology analysis; stress-sensitive fracture assessment; stimulation diagnostics for shale, tight sandstone, coal-bearing, and other unconventional reservoirs.

