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BCPGroup · AI Applications

Turn operational data into production value.

AI applications built with engineering depth for oil and gas operations. From well diagnostics to production optimization, each application is designed to improve visibility, reduce response time, and support better field decisions.

+5,000 Operational records analyzed
+100 Wells validated in field deployments
<5% Average deviation vs. physical sensors
24/7 Continuous real-time surveillance
Application Focus

Specialized tools for better operational decisions

The suite is structured around diagnosis, productivity analysis, reservoir interpretation, anomaly detection, and continuous optimization for artificial lift operations.

  • Virtual sensing for downhole production variables
  • Real-time productivity and water cut interpretation
  • Reservoir insight without conventional well shutdowns
  • ML-based anomaly classification for SRP conditions
Domain Knowledge Analysis Efficiency Evolution Assistance Security
AI Assistant

Operational intelligence designed around BCPGroup expertise

ELISA is BCPGroup's proprietary AI engine, a specialized large language model trained on technical knowledge, operational behavior, and engineering criteria from real deployments. It supports event diagnosis, operator guidance, anomaly review, and continuous learning across connected assets.

Real-time event diagnosis and anomaly detection
Guided procedures and contextual support for field teams
Continuous learning from operational field data
Role-based access, auditability, and secure integration
Applications

A focused AI suite for diagnostics, optimization, and field decisions

Each application is built to solve a specific operational problem with a sharper operational focus, clear outputs, and direct value for field teams.

SensorLess

Virtual downhole sensor

Calculates PIP, PWF, DFL, and pump submergence from surface electrical signals without a physical sensor. Validated in more than 50 wells with less than 5% deviation.

50% cost reduction vs. Echometer US Patents 63/827,610 and 19/253,095

IPRGraph

Well productivity performance

Generates the IPR curve in real time, shows the operating point, and calculates multiphase flow rates directly from SensorLess data for faster production analysis.

50% reduction in productivity analysis time Downloadable reports for engineers

PBU

Reservoir characterization

Automated pressure build-up analysis using Horner method and Bourdet derivative to estimate permeability, skin, and flowing bottomhole pressure without stopping production.

No well shutdown required k, skin, Pwf, and reservoir model outputs

MultiRate

Dynamic reservoir characterization

Controls multiple flow rates to build dynamic PBU curves in hours, detect damage and restrictions, and accelerate reservoir understanding without third-party intervention.

Reservoir intelligence in hours, not days Dynamic PBU without stopping the well

BSW Monitor

Virtual water cut measurement

Estimates online water cut continuously using SensorLess and IPRGraph inputs, closing the optimization loop without extra instrumentation or lab sampling delays.

Continuous %BSW with no additional sensors Integrated optimization logic for continuous control

Anomaly Detection · SRP

Downhole ML classification

Transforms surface dynagraphs into classified downhole operating conditions and detects failures before they occur, including Goodman-based load supervision and 3D dynagraph interpretation.

Failure detection before mechanical escalation Goodman diagram plus ML classification
Deployment Proof

Validated in 100+ wells across Latin American fields.

Average deviation below 5% across the validated field deployment cases presented for these applications.

Petropiar - Chevron
PCP Wells: 30+ Deviation: ~8%

Heavy crude, PMM motors. First large-scale PCP SensorLess deployment.

Petroboscan - Chevron
ESP Wells: 12 Deviation: 2.09%

Extra-heavy crude 10-12 API. Validated vs. Echometer measurements.

Cano Sur - Ecopetrol
ESP+PCP Wells: 6 Deviation: 2.2%

Mixed lift type deployment. Average deviation across 6 wells.

Dyna Terciario - Ecopetrol
ESP Wells: 1 (DT-045) Deviation: 2.09%

PIP Echometer: 723.6 psi vs. SensorLess: 737.2 psi - within operating tolerance.

Contact

Discuss AI applications for your operation

Review the right application mix for diagnostics, productivity analysis, anomaly detection, and production optimization in your operation.

Contact Sales