Borehole Seismic Specialists · Human-Primary · AI-Augmented
Global Expertise. Uncompromising Accuracy.

Borehole 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. Need custom tooling? Our in-house software team builds bespoke workflows, dashboards, and data pipelines with real geophysical domain knowledge.

>95%
Correlation with
client standards
60%
Cost reduction vs
onshore processing
24/7
Overnight delivery
by 06:00 UTC
20
Multi-disciplinary
specialists
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 borehole picking
  • Models trained on generic datasets miss borehole-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

From Raw Borehole Data to Clean Event Catalogs

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.

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

Borehole Event 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
NOISE REDUCTION
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
MANUAL PICKING P S
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 AUDIT STAGE 1 Statistical STAGE 2 Cross-Chan STAGE 3 Sign-Off
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

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
Data received end of day. Verified, signed catalog delivered by morning. Every time.
>95%Correlation with client
internal picking standards

Full-Spectrum Geoscience & Software Capability

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.

01 / 03
SEGY SEG-D STRUCTURE & MIGRATE CLOUD ARCHIVE DATA ENGINEERING PIPELINE
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
RAW EVENTS HUMAN LABELING CLIENT MODEL ML TRAINING LOOP
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
BOREHOLE QA/QC DASHBOARD EVENTS: 1,247 VALIDATED: 1,189 PIPELINE OK ■ LIVE
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

Tools We've Built

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.

QA/QC · Live
BOREHOLE EVENT QA/QC DASHBOARD v2.4 EVENTS TODAY: 1,247 VALIDATED: 1,189 (95.3%) PENDING REVIEW: 58 CH01 ████████████▓░░ P:1.342s S:1.589s ✓ CH02 ███████████░░░░ P:1.340s S:1.591s ✓ CH03 ████████▓░░░░░░ REVIEW FLAGGED
Borehole QA/QC Dashboard

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.

ReactWebGLPython APISEGY Parser
Pipeline · Automated
FIELD SEGY SEG-D INGESTION OK AI PRE-COND NOISE-RED PROCESSING OK HUMAN PICKING AUDIT VALIDATION OK CLIENT DELIVERY 06:00 UTC AUTOMATED LIVE
Field-to-Office Data Pipeline

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.

PythonNode.jsAWS S3SEGY/SEG-D
Monitoring · Real-Time
REAL-TIME EVENT MONITOR · BOREHOLE ARRAY EVENTS (last 1h): 14 VALIDATED: 12 REVIEW: 1 FLAGGED: 1 ● LIVE FEED ACTIVE
Real-Time Event Monitor

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.

WebSocketsD3.jsPostgreSQLML Classifier

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 (by 06:00 UTC) and 60% cost reduction vs onshore processing possible simultaneously — with zero degradation in output quality.

7
Geophysicists
P/S wave specialists, move-out experts, and QA/QC leads
5
Data Engineers
SEGY/SEG-D specialists, cloud architects, and pipeline engineers
4
AI / ML Specialists
Model developers and human-in-the-loop annotation architects
4
Full-Stack Developers
Bespoke tooling, dashboards, and field-to-office automation
GS
Senior Geophysicist — Gulf & North Sea
QA/QC Lead · P/S Wave Specialist
14 years field and processing experience across deepwater Gulf of Mexico and UK North Sea borehole programs. Certified in advanced move-out analysis; leads all blind re-pick audits and senior sign-offs.
DS
Principal Data Engineer — Unconventionals
Pipeline Architect · SEGY/SEG-D Lead
10 years building seismic data infrastructure for major unconventional operators in the Permian and Haynesville. Designed the automated field-to-office pipeline handling 300+ well datasets per quarter.
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

Engagement Models Without Guesswork

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.

Model 01
Per-Event Catalog
Priced per picked event · No minimum commitment
  • Ideal for pilot programs and exploratory wells
  • Full Tri-Stage Validation on every delivery
  • Scales naturally with event density
  • 48-hour pilot turnaround; overnight in production
Request a pilot →
Model 03
Retainer + Software
Monthly retainer · Includes custom tooling hours
  • Reserved analyst & developer capacity each month
  • Ongoing custom dashboard and pipeline development
  • Priority turnaround and dedicated account lead
  • Best value for high-volume or multi-program operators
See full details →
No lock-in contracts required on first engagement. All models begin with a no-cost, no-commitment 48-hour pilot test. Full engagement guide →

Request a No-Risk Pilot Test

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.)

📦
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.
Request Pilot Test
// Response within 1 business day