Real-Time Drilling Data & Observability System

A real-time monitoring system for drilling operations using WITSML data streams, Grafana dashboards, databases, and AI-integrated workflows.

Overview

This system supports real-time drilling data visibility using WITSML streams, databases, Grafana dashboards, and AI-integrated operational models.

Problem

Drilling operations need reliable data visibility under pressure. If streams, dashboards, or databases fail silently, teams lose the operational context they need to respond.

Users

Operations teams, data teams, drilling stakeholders, and technical evaluators responsible for uptime and data quality.

My role

I lead data architecture, observability design, database reliability workflows, and AI-integrated operational modeling.

Technical challenge

The challenge is maintaining trustworthy real-time data flow, dashboard accuracy, high availability, and useful AI outputs across critical operational workflows.

Architecture

The architecture combines WITSML ingestion, structured databases, replication-aware availability, Grafana dashboards, and AI classification workflows.

Key features

Real-time drilling metrics.
Grafana operational dashboards.
WITSML stream handling.
High-availability database workflows.
AI-assisted operation classification.

Impact

The system makes critical drilling signals easier to monitor, reason about, and act on.

Stack

WITSML, Grafana, SQL Server, PostgreSQL, AI/ML workflows, and observability tooling.

Screenshots

Screenshots are omitted because this is operational/client-sensitive work.

Lessons learned

AI is only useful when observability and data quality are already strong. Make failures visible first.

Links

No public links are available for this project.