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Beyond HMI commercializes and democratizes technology for onshore oil and gas operators. We embed algorithms in field devices (PLCs, RTUs) - directly monitoring field sensors. We compliment IoT and cloud computing by providing the dew for fog computing.

Modern instruments provide a rich set of diagnostic signals which are typically ignored. Our products monitor sensor signals at high frequency. From this bounty of real-time information, we generate actionable insights that improve wellpad operational efficiency.

We employ physics-based models and knowledge of the equipment mechanics as a basis for conclusions. For some applications, neural networks - executing on the field device - classify operational modes in near real-time.

We can deliver these algorithms on a variety of hardware to compliment your existing automation, SCADA, or IoT environment.

Our knowledge of wellpad and allocation measurement informs our gas, oil, and water measurement products which empower modern PLCs to serve as both automation controllers and flow computers.

Our Value Proposition:

  • Opportunity to Reduced Capex
  • Improved Operational Efficiency
  • Ease of Deployment


Our specialties include

Field Measurement of Hydrocarbons

Stock Tank Monitoring and Control

Allocation Separator Diagnostics

  • Separator performace analysis: detection of meter problems, valve problems, separator sanding
  • Well testing

Reciprocating Sucker Rod Pump Control, Automation, and Diagnostics

  • Downhole card-based rod pump controller in RTU, PLC, embedded system
  • Intra-stroke speed change to limit rod stress ranges
  • Heavy oil rod float mitigation
  • Inferring production
  • Improvements in sensing of pumping unit position
  • 7 U.S. patents for innovations in this field
  • Neural network pump card classification

Gas Lift Control and Automation

  • Gas lift controller system and methods
  • Gas measurement
  • Injection gas control
  • Inferring casing fluid level from surface data

Field-to-Cloud and Field-to-Office Data Transfer

  • Machine-to-Machine poll/response protocols
  • API 21.1 event/alarm/log collection
  • Protocol implementations on Windows or embedded system
  • IoT, publish/subscribe protocols
  • Sparkplug implementation on Windows or embedded system
  • MQTT implementation on Windows or embedded system