Petrophysicist with 17+ years of international experience across formation evaluation, reservoir monitoring, carbonate petrophysics and subsurface decision support. The goal of Petrophysics.io is to connect rigorous physical understanding with reproducible data workflows and modern machine-learning methods.

Formation evaluationCarbonatesReservoir monitoringPythonMachine learningSCAL / NMR

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RESEARCH

From rock properties to reservoir decisions.

Selected technical themes that define the platform.

Carbonate Petrophysics

Heterogeneous pore systems, capillary pressure, permeability transforms and saturation-height modelling.

Formation Evaluation

Integrated interpretation of conventional and advanced logs with uncertainty kept visible.

Reservoir Monitoring

Connecting well data, surveillance and reservoir behaviour to practical subsurface decisions.

TOOLS

Practical, reproducible, transparent.

A home for lightweight technical utilities, interactive workflows and experiments.

Python Workflows

Data conditioning, petrophysical transforms, QC, statistics and visualization.

Machine Learning

Applied ML for subsurface problems with a focus on physical consistency and interpretability.

Interactive Tools

Browser-based technical tools designed to move quickly from raw data to insight.

PUBLICATIONS

Selected work.

IPTC · 2016

Heterogeneous Carbonates: A Modeling Method Ensuring Consistency Between the Saturation Height and Permeability Models for Bimodal Rocks

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SPE · 2012

Salym Petroleum Development: Experience and Lessons in WRM on Salym Group of Fields

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CONTACT

Better data. Better models.
Lower uncertainty.

Petrophysics.io is being built as an independent technical platform for research, tools and ideas in modern petrophysics.

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PETROPHYSICS.IO

Physics of the subsurface.Intelligence from data.

Research

Tools

Publications

About Danila

Danila Karnaukh