Integrated geoscience for exploration and technical teams

Sharper geological insight. Better exploration decisions.

Bytownite Geoscience helps projects move from scattered datasets to defensible targets, clearer interpretation, and practical workflows that keep geology in command.

Explore services See the approach

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Targeting

Prospectivity mapping

Spatial intelligence built from integrated geological evidence rather than decorative guesswork.

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Interpretation

Geological context

Models that make sense in the field, not only in conference slides and hopeful emails.

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Systems

Critical minerals

Support for mineral systems, vectors, and project-scale decisions grounded in evidence.

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Delivery

Clear outputs

Technical results translated into useful decisions for field teams, managers, and collaborators.

Data-led Exploration decisions rooted in geology instead of dashboard theater.

Integrated Geology, geochemistry, geophysics, GIS, and interpretable analytics.

Practical Outputs designed for decisions, field planning, and technical review.

Focused Built around critical mineral systems and exploration workflows.

Services

Integrated support for exploration targeting, interpretation, and technical workflows

Built for teams that need more than attractive maps. The goal is defensible targeting, interpretable systems, and outputs that can survive contact with reality.

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Mineral prospectivity mapping

Geologically informed targeting workflows that turn scattered datasets into exploration-ready maps and ranked areas of interest.

Target smarter →

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Geospatial analytics

Integrated spatial analysis for geology, geochemistry, geophysics, and remote sensing built for practical decisions.

Integrate evidence →

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Paleogeographic reconstruction & GPlates targeting

Reconstruct terranes, dyke swarms, basins, plume/LIP events, and structural corridors through time to sharpen mineral-system targeting.

Reconstruct targets →

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Thermodynamic and systems modeling

Process-focused support for critical mineral systems, ore-forming controls, and technically rigorous geological interpretation.

Model systems →

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Drill-to-Model Confidence Review

Compare drillhole geology, assays, alteration, structure, and modeled domains to identify where geological confidence is strong, uncertain, or needs refinement.

Review model confidence →

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Consulting and training

Practical support for teams adopting data-driven methods without stripping out geological reasoning along the way.

Upskill teams →

Paleogeographic Targeting

Rebuild ancient geography to improve modern exploration targeting

A GPlates-based workflow for testing where rocks, structures, basins, dyke swarms, plume events, and mineral systems sat at the time mineralization formed.

Use geological time as an exploration layer

Modern maps show where rocks are now. Paleogeographic reconstruction helps test where they were when mineral systems were active, before later tectonic translation, rotation, rifting, collision, and terrane displacement made the picture unnecessarily dramatic.

The service integrates GPlates reconstructions with GIS layers, structural trends, dyke swarms, large igneous province events, basin architecture, mineral occurrences, and geochemical or geophysical datasets to support regional-to-district exploration targeting.

GPlates reconstruction package

Paleo-position target maps

Terrane and block motion review

LIP/plume event overlays

Paleo-structural corridor layers

Technical memo and presentation

Typical pilot format

A focused reconstruction of one belt, district, deposit camp, or time window. The pilot can test whether known deposits, prospective corridors, and underexplored ground restore into a more coherent mineral-system architecture.

What can be integrated

GPlates rotation models, plate polygons, terrane boundaries, and reconstructed coastlines
Dyke swarms, large igneous provinces, plume-centre interpretations, rifts, sutures, and inherited faults
Mineral occurrences, deposits, claims, geochemistry, geophysics, remote sensing, and bedrock geology
Time-sliced maps that compare present-day trends with reconstructed mineral-system architecture

Questions it helps answer

Were known deposits once closer to plume margins, rift shoulders, sutures, or inherited crustal breaks?
Do disconnected present-day districts restore into a single paleo-tectonic or metallogenic corridor?
Which areas become more prospective when geology is viewed at the time of mineralization?
Can regional targeting be improved before expensive field programs start doing what field programs do best: consuming budgets?

Best fit projects

Regional exploration programs across terranes, cratons, or mobile belts
Critical mineral and gold targeting where deep-time architecture matters
LIP-, plume-, rift-, basin-, or structure-related mineral-system studies
Technical storytelling for partners, investors, and exploration teams who need the logic, not just a pretty map

This is not a crystal ball. It is a way to make ancient geography testable, map-based, and useful for exploration decisions.

Drill-to-Model

Drill-to-Model Confidence Review

A practical review workflow for exploration and resource teams that need to test whether drilling data supports geological domains, grade continuity, and model confidence.

Turn drillhole evidence into clearer model-support decisions

The service compares drill logs, assays, alteration, structure, vein styles, mineralization observations, and existing model domains to identify where the geological model is well supported and where uncertainty remains.

The goal is not to create another independent resource estimate. It is to help teams test whether the current model is geologically explainable from the drilling data, and to define where confidence is strong, moderate, or weak.

Geological confidence matrix

Domain validation table

Annotated sections

Grade-domain plots

Logging refinement notes

Technical memo and slide summary

Typical pilot format

A focused review of a selected drillhole panel, high-density drilling area, or representative section. The pilot can start with a small dataset and expand only if the results are useful.

What is reviewed

Drillhole collars, surveys, assays, and interval tables
Lithology, alteration, veining, structure, and sulfide/mineralization logs
Existing geological domains, cross-sections, wireframes, or simplified model interpretations
Grade variability and the relationship between high-grade intervals and geological controls

When it is useful

High-density drilling is being used to validate or refine a model
Grade continuity is uncertain or difficult to explain geologically
Resource and exploration teams need a shared interpretation framework
Future drilling, bulk sampling, or development decisions need better geological confidence

Questions it helps answer

Do the drillholes support the current geological model?
Are grade domains geologically explainable?
Are high-grade intervals structurally, lithologically, or alteration controlled?
Which parts of the model have strong, moderate, or weak confidence?

Designed to support interpretation, model validation, infill drilling, and technical decision-making without pretending a spreadsheet has achieved enlightenment.

Approach

From raw project data to actionable geological targets

Advanced analytics can accelerate the work, but geology still has to lead. Faster is helpful. Defensible is the part that matters.

Principle

Geology stays in command

Models and spatial analytics narrow the search space, but ranking and interpretation still need to make sense to the people funding, planning, and executing the work.

Assemble the evidence

Project data is combined with geological, geochemical, geophysical, and spatial layers relevant to the deposit style and project stage.

Build the workflow

Data is cleaned, structured, and translated into an interpretable workflow instead of an unholy pile of mismatched formats.

Model and interpret

Machine learning, spatial analysis, and geological reasoning are used together to rank targets and reduce noise.

Deliver decisions

Clients receive maps, ranked targets, technical interpretation, and workflows that can actually be used by real teams.

About

A boutique geoscience practice built for technical clarity

Bytownite Geoscience combines exploration thinking, systems interpretation, and geospatial workflows to help teams cut through uncertainty and move toward better decisions.

What matters here

Integrated use of geology, GIS, geochemistry, geophysics, and interpretable analytics
Clear technical reasoning that can support field programs and project strategy
Outputs designed for real project constraints rather than software demos

Typical deliverables

Prospectivity maps and ranked targets
GIS-ready layers and documented workflows
Technical summaries, presentations, and training support

Apps & Software

Field-ready tools that support the same practical workflow mindset

Bytownite Geoscience also builds software for real project use. Right now that starts with Drill Progress Pro, with Android live and the iOS version on the way.

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Drill Progress Pro

Drilling progress tracking and reporting for exploration teams

A practical app built to help teams track drill progress, keep daily reporting cleaner, and reduce the usual spreadsheet sprawl that somehow still runs half the industry.

Android available iOS coming soon

Simple progress tracking for active drill programs
Cleaner day-to-day reporting workflow
Built for practical field and project use
Designed to grow with future Bytownite tools

Get on Google Play Watch demo

FAQ

Questions about scope, data, and how the work is delivered

A few practical answers before anyone starts assuming a model is magic.

No. The focus is decision-quality geology. Machine learning is one useful tool inside a broader interpretation and targeting workflow.

Yes. Historical and inconsistent datasets are common. Cleaning, harmonization, and structured integration are part of the process.

Yes. The work can support both industry-facing projects and technically rigorous research collaborations where interpretation quality matters.

It is a practical review that compares drillhole observations, assays, alteration, structure, and modeled domains to identify where the current geological interpretation is well supported and where uncertainty remains.

Depending on scope, deliverables can include prospectivity maps, ranked targets, GIS-ready layers, workflow documentation, technical summaries, and training material.

Team

Meet the team

Technical geoscience and data-science support for exploration teams that need clear reasoning, clean workflows, and fewer spreadsheets.

Samer R. Maghdour-Mashhour, PhD

Founder and Principal Geoscientist

Exploration targeting, geological interpretation, mineral systems, and data-driven geoscience workflows.

Mahbod (Rayan) Mehramiz

Principal Data Scientist

Data engineering, analytics, software workflows, and practical model-support tools for technical projects.

Contact

Ready to build a sharper exploration workflow?

Let’s discuss your project, your data, and what useful outcomes actually look like for your team.

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Email samer.mashour@bytownitegeo.com

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Location Ottawa, ON, Canada