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Backequipcast

AI-powered health & performance monitoring for oil wells

Industries
Oil & Gas
Year
2017-PRESENT
Features
DiscoveryAnalysisDesignMechanical/Industrial EngineeringDevelopment
Oil pumpjack at sunset

We designed and built, from the ground up, the AI monitoring platform equipcast now uses to track the health and performance of oil wells, water treatment facilities, and refineries, taking ownership of the project end-to-end.

The Challenge

Equipcast is an AI platform built to ingest, process, and visualize sensor and machinery data across the oil industry, detecting operating patterns and suggesting adjustments. We took it on end-to-end, from discovery through development, bringing in mechanical and industrial engineering expertise ourselves.

The core technical challenge was the industry's existing infrastructure: legacy SCADA systems running decades-old protocols, which had to be interfaced with a modern, high-volume platform, adapting data from disparate sources to fit the new architecture.

Oil field facilities monitored by the equipcast platform
equipcast platform architecture visualization

The Solution

High-availability infrastructure

A clusterable architecture (separate ingestion and database clusters) built to sustain high inbound data volume without compromising availability.

Proprietary time-series neural network

Built in-house, ahead of the wider adoption of Transformer models, to analyze timestamped sensor data and detect anomalous patterns and oscillations. Still in active use today.

Flexible models and virtual measurements

Models adapt to both simple systems (a separator or a single tank) and complex ones (multi-well pads across multiple fields). In addition to physical sensors, equipcast allows virtual measurements derived from combining existing variables, calculating engineering formulas or leveraging AI. Predictive Maintenance and early leak detection data streams are examples of this capability.

Traffic-light visualization

Every piece of equipment gets assigned a Reliability Index that’s color coded for easy reference. Bubbling up of alerts and health status allows individual pieces of equipment to be quickly identified at a high level, mitigating lost alerts across complex systems.

Fully web-based access

A 100% browser-based platform: access to thousands of distributed sensors across a facility, with no local installs or dependency on a physical workstation.

Oil pumpjack monitored by the equipcast platform

Key Features

  • End-to-end ownershipFrom business idea to production platform: discovery, mechanical/industrial engineering, and development.
  • Legacy infrastructure integrationInterfacing with decades-old SCADA systems and protocols without disrupting operations.
  • Scalable data modelFrom a single well to full consortiums, without redesigning the architecture.
  • Continuous evolutionSame platform, actively developed, with no discontinuity, since 2017.
  • Industry-pioneering AIProprietary time-series neural network, built ahead of the Transformer wave.

"Working with Miracle Devs helped us simplify a complex platform into a clear, intuitive experience that delivers valuable outcomes. The new solution reduced friction across key workflows, improved usability, and gave our team a scalable system that made future development faster and more consistent. There wasn't a challenge that the team could not overcome and deliver."

Sergio A. T.CEO at equipcast
equipcast reliability monitoring dashboard

Impact

From a series of isolated pilots on individual wells, equipcast became a monitoring platform in sustained production use, with thousands of sensors integrated across its various deployments and ongoing conversations with major players in the oil & gas industry.

Today, equipcast clients rely on the platform daily to keep a close eye on their operation as they progressively transition out of SCADA-only monitoring and into modern solutions.

Let's Talk

Have a project in mind? Let's build something miraculous together. Reach out for a free consultation.