Algorithms clear the noise and flag events. Our experienced geophysicists make every final pick — backed by a named, accountable senior sign-off on every delivered dataset. Need custom tooling? Our in-house software team builds bespoke workflows, dashboards, and data pipelines with real geophysical domain knowledge.
Our AI pre-conditioning engine suppresses coherent and incoherent noise across all borehole receiver channels before a single human picks up a cursor. The result: analysts work on clean signal — not noise archaeology.
The graphic shows a real pre-conditioning pass: raw field trace (top), AI-conditioned output (middle), and the human-validated pick with P-wave marker (bottom). Signal-to-noise improvement is typically 8–14 dB across array channels.
Machine speed without sacrificing human judgment. Every phase documented, every decision accountable, every delivery signed.
Proprietary noise reduction suppresses coherent and incoherent noise across all channels. Automated event flagging reduces analyst triage time by 10× — without making a single pick.
Experienced geophysicists manually pick all P-wave and S-wave arrivals on pre-conditioned traces. Move-out validation against client velocity models is performed before any event enters the catalog.
A named Senior Geophysicist performs the final audit: statistical validation against client datasets, cross-channel consistency checks, and a signed delivery document — guaranteeing >95% correlation.
We don't believe in black-box seismic interpretation. Our proprietary process combines advanced AI-driven data conditioning with the expert judgment of trained geophysicists — so every pick in your catalog is verified, and every fracture modeling decision is made with absolute confidence.
Our internal ML models rapidly filter high-frequency noise and pre-condition the continuous dataset — reducing the signal space a human analyst must evaluate by an order of magnitude.
A trained geophysicist, supported by the 20-person multi-disciplinary team, performs all final event picks using multi-window analysis and hypocycloidal move-out alignment.
A Senior Geophysical Specialist with 5+ years of experience performs a structured blind re-pick audit before any catalog is released. A <2ms variance threshold is strictly enforced.
Our 20-person team goes far beyond event picking. Data engineering, machine learning, and custom software development — built by developers with real geophysical domain knowledge. Your stack, your standards.
Industrial-scale geophysical data engineering for teams managing petabytes of seismic records and multi-vintage survey archives.
Human-in-the-loop labeling and model training to build proprietary ML capabilities directly into your internal processing workflows.
Bespoke internal tooling built by full-stack developers with geophysical domain knowledge — a combination nearly impossible to hire for onshore.
Our full-stack developers don't just support the picking workflow — they build the infrastructure around it. Every tool below was designed and shipped in-house, with direct input from the geophysicists who use it daily.
Real-time event validation interface used daily by our picking team. Channel-by-channel pick review, move-out overlay, and batch sign-off with full audit trail export.
Fully automated ingestion-to-delivery pipeline. Handles SEGY/SEG-D format normalization, routes data through AI pre-conditioning, and delivers signed catalogs at 06:00 UTC without manual handoffs.
Live event visualization interface showing incoming microseismic events on a spatial map with automatic severity classification, per-channel SNR readout, and instant analyst alert routing.
Twenty specialists in a unified 24/7 ecosystem. Geophysicists who have spent careers in the field, working alongside data engineers, AI researchers, and full-stack developers — all under one operational structure with a single quality standard.
The offshore model is not a compromise. It is the mechanism that makes 24/7 overnight delivery (by 06:00 UTC) and 60% cost reduction vs onshore processing possible simultaneously — with zero degradation in output quality.
No hard pricing on this page — every borehole program has different data volumes, quality targets, and delivery cadences. What we can tell you is how we structure engagements, so you know what to expect before the first conversation.
Send us a representative borehole dataset. We'll return a fully processed, QA/QC-validated, signed event catalog within 48 hours — at no cost and no commitment. (Production jobs deliver overnight by 06:00 UTC.)