Seismic wave propagation through Earth's crustal layers
LITHOSPHERIC DYNAMICS

Seismology & Geophysics

Unveiling the Earth's Interior: Earthquake Simulation and Resource Exploration at the Petascale.

Imaging the Unseen

Geophysics is the science of inverse problems. To reconstruct the Earth’s sub-surface architecture, we must solve complex wave equations across heterogeneous tectonic structures. Malgukke delivers the GPU-accelerated clusters and high-throughput storage required for Reverse Time Migration (RTM) and Full Waveform Inversion (FWI).

Earthquake Simulation

Modeling high-frequency wave propagation to assess seismic hazard and protect critical infrastructure.

Heterogeneous Modeling: Simulating how seismic energy travels through complex geological fault zones and sedimentary basins.
Ground Motion Prediction: Executing massive-scale simulations to generate high-resolution shake maps for disaster resilience.

Resource Exploration

Analyzing 3D seismic data to secure energy and mineral sovereignty through advanced imaging.

Sub-surface 3D Imaging: Utilizing FWI algorithms to visualize mineral deposits and geothermal reservoirs with unprecedented clarity.
Data Ingestion: Scaling architectures to process petabytes of raw seismic sensor data from land and sea arrays.

Geophysical Logic: Vibration -> Inversion -> Discovery

Field of Action HPC / Algorithm Operational Outcome
Seismic Hazard Spectral element methods on $10^9$ grid points. Early Warning & Structural Safety
Mineral Sovereignty Reverse Time Migration (RTM) on multi-GPU nodes. Precise Target Drill Mapping
Geothermal Energy Coupling seismic data with thermal fluid flow models. Optimized Sustainable Power Extraction

Centers of Geophysical Excellence

GFZ Potsdam - Geosciences Center
ETH Zurich - Institute of Geophysics
Bureau of Economic Geology (USA)

Malgukke Insight: The High-Throughput Seismic Wall

In geophysics, data volume is the primary barrier to resolution.

A single seismic survey can generate tens of petabytes of raw trace data. The challenge is moving this data into the GPU memory fast enough to allow for iterative Full Waveform Inversion. We build specialized storage tiers using Lustre and NVMe over Fabrics (NVMe-oF) to ensure the compute nodes are never starved for data, enabling 3D imaging at resolutions previously thought impossible.