PLATFORM OVERVIEW
A Single Unified Digital Oilfield Enterprise Solution
Optima is a single integrated Digital Oilfield enterprise solution for upstream operations management — purpose-built to effectively manage, monitor, and optimise wells, operations, and resources at scale. Its architecture is process-centric: every module reflects the actual workflows of upstream production, artificial lift, flow assurance, and field operations. Unlike horizontal industrial platforms that require years of O&G customisation, Optima arrives with the domain knowledge already embedded.
The platform handles both periodic and high-frequency data — from daily production reports to real-time SCADA telemetry — and delivers the right information to the right stakeholder, at the right time, through role-based dashboards and automated reporting.
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Intelligence Layers
Four Layers of Intelligence.
One Platform.
Sight
Insight
Foresight
Autonomous
Sight
- Real-time data visualisation for all stakeholders — field operators to C-suite
- 24/7 access to all operational data on any device, anywhere
- IoT-connected well monitoring via Envision gateway
- SCADA integration — live feeds from ESP, SRP, Gas Lift, Water Injection, and process equipment
- Asset uptime and data quality dashboards
Insight
- Automated identification of critical events and anomalies
- Actionable, data-driven KPIs across wells, fields, and reservoirs
- Intelligent alarm management — prioritised, contextualised, reduced nois
- Virtual Flow Meter (VFM): 95% accurate real-time flow estimation without physical meters
- Well candidate selection for interventions, workovers, and optimisation
Foresight
- Predictive and prescriptive analytics across production and artificial lift
- Decline curve analysis, water cut prediction, and production forecasting
- ALS failure prediction using ML — anticipate failures before they cause downtime
- Pipeline hydrate risk, corrosion prediction, and mechanical integrity forecasting
- Data-to-Decision (D2D) technologies that convert operational data into recommended actions
Autonomous
- AI and machine learning pattern recognition across all lift types
- Digital Twin simulation — run 'what-if' scenarios before field execution
- Closed-loop control: remotely adjust setpoints, frequency, and Start/Stop directly from Optima
- Dynamometer card diagnosis using AI pattern matching — 13+ failure conditions identified automatically
- Continuous model recalibration as new field data is acquired
PLATFORM ECOSYSTEM
How Optima Connects Your
Entire Digital Oilfield
Optima's ecosystem spans four operational domains — Drilling, Production, Operations, and Facilities & Maintenance — connecting data from the reservoir to the point of sale in a single unified flow.
Dashboard
Reports
Notifications
Analytics
Drilling
Capture and integrate manual, mobile, and real-time operational data into a seamless digital workflow.
Production
Centralize asset and device management with intelligent event detection and optimized data processing.
Operations
It offers responsive dashboards, automated reports, and advanced analytics for decision-making from the field to the office.
Facilities & Maintenance
Streamline asset integrity monitoring and predictive maintenance workflows to maximize uptime and equipment longevity.
PLATFORM STATS
The Digital Oilfield
Impact — In Numbers

Prediction Accuracy
AI and ML models deliver 95% accuracy across Virtual Flow Metering, ALS failure prediction, and production forecasting.

Increase in Well Uptime
Proactive monitoring, predictive maintenance, and automated well prioritisation drive measurable uptime improvements.

Faster Workflows
Automated data preparation and workflow execution reduce manual processing time by 83% across production teams.

Deployment
Optima is live and delivering value within 60 days of contract signature — half the industry average go-live time.
OUR INSIGHTS
Case Studies


See the Digital Oilfield
Platform in action.
Our team of upstream engineers will walk you through a live demonstration tailored to your field conditions, lift type, and operational challenges.