Senior geophysics and upstream digital transformation

Applied Geoscience, ML & Digital Transformation for Upstream Oil and Gas

Senior geophysicist building practical digital tools for seismic interpretation, reservoir characterization, Python automation, machine learning, AI-assisted workflows, and field visualization.

SaherLabs.dev is the technical portfolio of Ahmed Saher Nouh. The site presents selected projects demonstrating practical applications of geoscience, data analytics, machine learning, AI-assisted workflows, and digital transformation for upstream oil and gas.

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saherlabs.dev / FieldViewer
FieldViewer timeline slide
Timeline reviewProduction bubble timeline with satellite context and a key map.
FieldViewer menu slide
Operations menuModular field review entry point for map, production, timeline, status, and AI Lab tools.
Field status dashboard slide
Daily field statusInteractive map and operating status dashboard for wells, rigs, and production.
FieldViewer AI Lab and selected well slide
AI-assisted field contextSelected-well briefing, map context, and production profile in one review workflow.
Well testing trends and crossplots slide
Well testingTrends, crossplots, and map context in a single review screen.

Practical digital geoscience portfolio

I build practical digital transformation tools for upstream oil and gas by combining geophysics, reservoir characterization, Python automation, machine learning, AI-assisted workflows, and field data visualization.

Field visualization and decision support

Browser-based dashboards and viewers for maps, wells, timelines, production, completions, well testing, ESP review, and technical outputs.

Reservoir characterization and applied ML

Seismic-attribute-driven reservoir property prediction, blind-well validation, model QC, geological consistency checks, and uncertainty workflows.

AI-assisted geoscience workflows

Prototype workflows for structured technical data interaction, selected-well review, technical summaries, and controlled field metadata querying.

Selected work

Career-relevant projects appear first, with emphasis on upstream oil and gas digital transformation and subsurface decision support.

Featured

FieldViewer - Digital Field Review and Decision-Support Platform

Web-based field visualization concept for integrated review of maps, wells, production, timelines, completions, well testing, ESP review, and technical outputs.

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Applied ML

Seismic Attribute ML - Reservoir Property Prediction and Interpretation QC

Python-based workflows for feature testing, blind-well validation, model QC, and geologically consistent reservoir characterization.

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Contact

For hiring managers, technical managers, recruiters, clients, and upstream digital transformation teams.