Blog & technical notes

Writing about the work, not around it

Research notes, workflow write-ups, and the occasional benchmark, mostly on computational geophysics and signal processing.

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From Manual to Autonomous: Scaling Seismic Workflows with Machine Learning

ArticleFeb 12, 20266 min read

From Manual to Autonomous: Scaling Seismic Workflows with Machine Learning

Exploring automated signal preprocessing, noise reduction pipelines, and scalable deep learning architectures for modern seismic data processing.

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Essential AI Toolkits for High-Density DAS Data Analysis

Jan 28, 20268 min read

Essential AI Toolkits for High-Density DAS Data Analysis

A curated guide to open-source Python frameworks and deep learning tools engineered for Distributed Acoustic Sensing (DAS) channel alignment and denoising.

Optimization Metrics: Benchmarking AI-Driven Event Detection vs. Traditional Frameworks

Jan 15, 20265 min read

Optimization Metrics: Benchmarking AI-Driven Event Detection vs. Traditional Frameworks

A comparative evaluation of signal-to-noise ratio gains, computational latency, and detection thresholds across synthetic and field DAS datasets.

Physics-Informed Neural Networks (PINNs) in Subsurface Modeling

Dec 20, 20257 min read

Physics-Informed Neural Networks (PINNs) in Subsurface Modeling

Integrating acoustic wave equations into loss functions to enforce physical constraints in multidimensional seismic inversion.