An Efficient Machine Learning Workflow for Effective Fracture Geometry Characterization Using High-Resolution Distributed Strain Sensing during Well Production
Year: 2025
Type: article
Source: SPE Journal
DOI: 10.2118/230321-pa
Institutions: Texas A&M University, Colorado School of Mines
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4414471126
