Application of Automated Machine Learning (AML) to Predict Fracture Intensity Using High Frequency Drilling Vibration Data
High-quality fracture network map is essential to investigate the [...]
A 3D Data Assimilation Workflow for Reservoir Pressure Forecasting Using Surface Displacement from InSAR
SMART researchers proposed a 3D data assimilation workflow for reservoir-wide [...]
SMART featured prominently in Forbes interview with Pamela Isom, director AI & Technology (AITO) at DOE
The US Department of Energy (DOE) has long stood out [...]
Development of a data-driven reduced order model to estimate the stimulated reservoir volume (SRV) from microseismic data in near real time
The problem of predicting the geometry of the multi-stage multi-fracture [...]
Multi-level Fracture Analysis and Visualization Workflow Improves Unconventional Reservoir Management
Innovatively exploring knowledge from static data, dynamic data, [...]