DRL's in-house digital rock physics engine: image-based 3D modeling and pore-scale simulation of porous rocks in a single cross-platform desktop application.
DRL Studio is the in-house digital rock physics platform that powers every DRL imaging service and every research study we run. The application takes raw 3D image data from any modality DRL works with (e.g., micro-/nano-CT/-XRM, FIB-SEM, SEM, S/TEM) and produces a segmented, quantified digital rock 3D model on which pore-scale simulations can be run.
The platform is in active development: continuously improved, tested, and benchmarked as we apply it to new rock systems. It runs cross-platform, leverages modern GPU/multi-GPU compute, and is built on a modern open Python stack that keeps every step of the analysis and simulation pipeline extensible.
Three stages, one application. Designed end-to-end for digital rock physics workflows.
Ingests tomographic image datasets across DRL's imaging modalities (e.g., micro-CT/-XRM, nano-CT/-XRM, SEM (mosaic) maps, FIB-SEM and S/TEM nanotomography). Handles alignment/registration, filtering, 3D reconstruction, etc., so multi-modality datasets can be unified into a single representation.
Builds segmented digital rock 3D models using both classical and machine-learning / deep-learning segmentation, calibrated for the multi-phase mineral systems where threshold-based approaches fall short. The AI-assisted segmentation improves with every user correction.
Runs physics-based simulations directly on the digital rock: single- and multi-phase fluid flow, solute transport, and effective physical properties.
Directly from the digital rock 3D models, DRL Studio extracts measurable properties of the imaged rock. Examples of what we can compute:
Among other modeled and simulated petrophysical properties.
DRL Studio scales automatically across CPU cores and GPUs, with multi-GPU acceleration for heavy compute. The platform runs on Windows, macOS, and Linux, dispatches each operation to the fastest available compute path, and is built on a modern open Python stack that lets us extend the analysis or simulation pipeline as research demands evolve.
Universities, national labs, and research institutions:
We welcome partnership on current and future research projects that build on DRL Studio.