About

A small team, decades of geophysics engineering.

Atlas Deep Geo is a small technical team developing physics-guided seismic reconstruction methods with quantified uncertainty. Our roots are in the engineering teams that built the seismic data systems large operators have relied on for decades.

What we work on

The ORCA reconstruction framework is the technical center of the work. Current development is focused on 2D-to-3D seismic reconstruction — turning sparse 2D lines into probabilistic 3D volumes with calibrated P10 / P50 / P90 envelopes. Related problem classes (infill of 3D surveys with gaps, imaging beneath obscuring zones, near-offset reconstruction) are research directions we pick up alongside concrete POC engagements as they arise. We are not a SaaS vendor; there is no packaged product to license today.

How we engage

The work runs through proof-of-concept engagements with real customers on real datasets. A first POC is typically funded at a nominal level — priced as proof-of-method, not proof-of- value. Second and third engagements on the same workflow move to competitive commercial rates once the method is established for that problem class. As workflows mature, customers who use them repeatedly will want to run them in-house — license-style packaging is the eventual destination, not the starting point.

How we work

Small teams. Honest validation. Documented methods. Every reconstruction we deliver is accompanied by the QC that produced it — what worked, what did not, and where the uncertainty estimates land against ground truth when ground truth exists. We publish what we can; client data stays isolated when it cannot be published.

What we believe

Subsurface decisions deserve calibrated uncertainty, not single point estimates dressed up as answers. Methods worth trusting are methods that are willing to say what they do not do. Open data, where it exists, should be used; client data, when entrusted to us, stays isolated.

Team

Placeholder layout — populate with current team. Names and bios pending.

SA

[Name pending]

Founder · Engineering

[Short bio: prior teams, technical focus, what they're working on at Atlas. Keep to 2–3 sentences. Avoid generic claims.]

CM

[Name pending]

Geophysics · ORCA

[Short bio: imaging / inversion background, role in the ORCA method development.]

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Additional team

Roles to come

Add team members or advisors as appropriate.

Lineage and partnerships

The frameworks and infrastructure Atlas builds on come from a long line of geophysics engineering work, both at the people level and at the systems level.

Partnership

MoMacMo

Joint development partnership covering the ORCA method's core algorithmic work — horizon reconstruction, FISTA-based inversion, and uncertainty quantification.

Lineage

JavaSeis

The Atlas data stack inherits architectural patterns from the JavaSeis seismic data framework — distributed I/O, brick-organized volumes, and the operator-framework patterns that underlie the reconstruction pipeline.

Technical heritage

ConocoPhillips synthetic generator

The calibrated synthetic generator used to train the commercial deployment variants of ORCA was developed and validated at ConocoPhillips for acquisition planning studies, and is the basis for the training data pipeline described on the method page.

Technical collaboration

Fraunhofer eRTM & Orca-FWI

Ongoing technical collaboration on extended reverse-time migration and full-waveform inversion infrastructure that complements the reconstruction stack.