Production Management Platform
End-to-end visibility, automated control, intelligent alerts, and coordinated dispatch for oil & gas production.
JuraProdX is a full-cycle digital intelligent production management system for modern oilfield operations. Covering data collection, real-time monitoring, automated analysis, intelligent alerts, and production coordination, it drives the transformation of oil and gas production from experience-based management to intelligence-driven operations.
Production data collection is delayed and inconsistent. Historical data is incomplete and lacks governance. The lack of quality control leads to unreliable data scattered and unstandardized, without integration under a unified model.
Operational risks such as kicks, lost circulation, and stuck pipe rely on manual judgment, leading to untimely warnings.
The lack of real-time analysis tools in the plan-execute-control loop leads to delayed problem detection and difficult root cause analysis, which impacts production efficiency and rapid response decision-making.
Manual, offline reporting processes create a system with minimal automation, resulting in unreliable data. This means high error rates and a lack of consistent metrics across different teams.
By deeply integrating SCADA systems with AR glasses visual recognition technology, we have established an end-to-end real-time data collection channel from production sites to databases, completely replacing traditional manual meter reading.
Integrate real-time IoT production data and video feeds to deliver production parameter display and unified monitoring of production wells, pipelines, and stations across the field.
Multidimensional monitoring of oil and gas processing, inventory, and transportation is implemented, covering plan versus actual tracking, gathering and transportation overview, processing status, inventory management, export operations, and pipeline surveillance.
Automatically derive operational KPIs from foundational data for well management, water injection, interventions, and new wells, aggregated by management and time dimensions.
The system analyzes real-time and historical production data using machine learning and domain knowledge to detect anomalies, trace root causes, and generate diagnostic reports for improved operational efficiency and reliability.
Intelligent trend prediction enables proactive production management with multi-level alerts, creating a closed-loop system from monitoring to disposal for end-to-end operational control.
Modeling based on the minimum process node, balancing “macro-level integrity” with “micro-level precision” to closely fit the actual needs of production operations.
Multimodal intelligent prediction technologies are applied to achieve high-precision forecasting and real-time alerting for key production parameters and metrics.
Automated data collection, automated report generation, and role-based automatic recommendation of functions.
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