Human-Primary · AI-Augmented

Global Expertise. Uncompromising Accuracy.

Precision Microseismic Picking: Human Expertise, AI-Augmented Speed

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.

>95%

Correlation with
client standards

60%

Cost reduction vs
onshore model

24/7

Overnight delivery
pipeline

Multi-disciplinary
specialists

Request a Pilot Test See the Workflow ↓

CHANNEL 14 — LIVE TRACE VIEWQA: VALIDATED ✓

P-Wave Pick

1.342 s

S-Wave Pick

1.589 s

SNR

14.7 dB

Move-Out

Validated ✓

AI Pre-flag

Accepted

Senior Audit

Signed ✓

ARRAY — ALL 8 CHANNELSMOVE-OUT ALIGNMENT IN PROGRESS

The problem with fully automated picking

Models trained on generic datasets miss field-specific noise signatures
No contextual understanding of local geology or reservoir mechanics
False positives propagate through the event catalog unchecked
No accountable audit trail — indefensible in peer review
Black-box output creates liability risk for reservoir engineers

The Veritas Seismic difference

AI pre-conditioning flags events and reduces analyst triage time by 10×
Every pick made and validated by a trained geophysicist — not an algorithm
Tri-Stage Validation Framework with named senior sign-off on every dataset
Full move-out validation against client velocity model before delivery
Complete QA/QC documentation and audit trail delivered with every file

Signal Intelligence

From Raw Field Data to Clean Event Catalogs

Our AI pre-conditioning engine suppresses coherent and incoherent noise across all 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.

① Raw (noisy) ② AI-conditioned ③ Human pick

Core Service

AI-Accelerated Picking: The Three-Phase Workflow

Machine speed without sacrificing human judgment. Every phase documented, every decision accountable, every delivery signed.

⚡ Phase 01
AI LAYER

──▶

🎯 Phase 02
HUMAN LAYER

──▶

✅ Phase 03
SENIOR AUDIT

──▶

📦 Delivery
BY 06:00 UTC

AI Layer

Phase 01

⚡

AI Pre-Conditioning

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.

Noise ReductionEvent FlaggingSNR Enhancement

Human Layer

Phase 02

🎯

Human Execution

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.

P/S Wave PickingMove-Out ValidationCatalog QC

Senior Audit

Phase 03

✅

Tri-Stage Validation

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.

Statistical AuditCross-Channel QCSigned Delivery

QA/QC Framework

The Tri-Stage Validation Framework

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.

Tri-Stage Validation Framework infographic

Veritas Seismic Tri-Stage Validation Framework — AI-Augmented, Human-Verified Microseismic Picking

Stage 01 / 03

AI Layer

Adaptive Phase Identification

AI-Augmented Pre-Processing

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.

✓ Rapid AI noise rejection targeting equipment interference

✓ Automatic P & S first-arrival flagging

✓ Dynamic waveform incoherence detection

Noise reduction before human triage

~10× analyst triage time reduction

Stage 02 / 03

Human Layer

Expert Manual Execution

The Human-in-the-Loop Differentiator

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.

✓ Manual P & S first-arrival picking with multi-window analysis

✓ Hypocycloidal move-out alignment across sensor array

✓ Rigorous signal-to-noise gating — no false positives

Events passing without re-pick

>96% accepted on first human pass

Stage 03 / 03

Senior Audit

Senior Geophysical Audit (SGA)

The Final Verdict

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.

✓ Blind re-pick of 10% of all events by Senior Specialist

✓ <2ms variance threshold — full recall if exceeded

✓ 100% compliance with client-defined project rules

Correlation with client internal standard

>95% delivered correlation guarantee

Technology & Expansion Services

The 20-Person Capability Engine

The advanced tech backbone powering our processing speed is available to solve your broader data challenges. We are not a picking shop — we are a full-spectrum geoscience capability hub.

01 / 03

Data Science & Big Data

Industrial-scale geophysical data engineering for teams managing petabytes of seismic records and multi-vintage survey archives.

→ SEGY / SEG-D structuring and cloud migration
→ Multi-survey attribute unification pipelines
→ Predictive analytics on production seismicity
→ AWS / Azure data warehouse architecture

02 / 03

Applied Machine Learning

Human-in-the-loop labeling and model training to build proprietary ML capabilities directly into your internal processing workflows.

→ Expert-labeled seismic training datasets
→ Human-in-the-loop annotation pipelines
→ Model validation against domain standards
→ Continuous retraining and drift monitoring

03 / 03

Custom Software Development

Bespoke internal tooling built by full-stack developers with geophysical domain knowledge — a combination nearly impossible to hire for onshore.

→ QA/QC dashboards and event visualization tools
→ Automated field-to-office data pipelines
→ Real-time event monitoring interfaces
→ Reporting automation and audit trail systems

About the Team

A Strategic Capability Hub, Not Outsourced Labor

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 and 60–70% cost efficiency possible simultaneously — with zero degradation in output quality.

Geophysicists

P/S wave specialists, move-out experts, and QA/QC leads

Data Engineers

SEGY/SEG-D specialists, cloud architects, and pipeline engineers

AI / ML Specialists

Model developers and human-in-the-loop annotation architects

Full-Stack Developers

Bespoke tooling, dashboards, and field-to-office automation

24/7 Coverage ModelOPS ACTIVE

Night Shift (UTC)

00–08

Day Shift

08–16

Evening Shift

16–24

Client Delivery

06:00

Comparable Onshore

$180k+

per analyst / year

Veritas Seismic Model

60% Less

same output quality

Field-to-Office Data Pipeline — Live Status

Start Here

Request a No-Risk Pilot Test

Send us a representative dataset. We'll return a fully processed, QA/QC-validated, signed event catalog within 48 hours — at no cost and no commitment.

📦

You Send the Data

Any format: SEGY, SEG-D, or proprietary. We handle ingestion and pre-conditioning.

🔬

We Process to Your Standard

Our team aligns to your internal picking style and velocity model before beginning.

📊

You Evaluate the Output

Full event catalog, signed QA/QC document, and correlation statistics. Within 48 hours.