Unified interface for the production control center (PCC)
Ability to connect various data sources and third-party services to support the operation of digital twins of fields
Control of input data for modeling and asset planning procedures, preliminary analysis of completed calculations, automatic monitoring of actual production indicators, data visualization
Cartographic visualization of space with 3D models of objects
02.
Application of Machine Learning methods based on telemetry data to determine the production rate for each well (virtual flow meter)
Management of regulatory and reference information
Management of hydrocarbon production from potential (reservoirs, wells, field nodes)
Configuration and updating of production node constraint models
03.
Simplified operational modeling of assets on daily and shift horizons
Integrated asset modeling on a monthly horizon with group optimization of technological modes. This includes modeling of the reservoir, well, collection system, preparation system, and financial-economic model
Selection and formation of a basket of activities recommended for implementation in assets, including the use of artificial intelligence algorithms for geological and technical activities (GTA), equipment selection, and integrated analysis of activities
Formation of integrated asset plans taking into account the optimization of the basket of recommended activities across various planning horizons – calendar year, quarter, month, day, shift, etc.
04.
Predictive analytics
Plan-fact analysis of hydrocarbon production indicators and the implementation of activities
Formation of operational and analytical reporting for production management at current capacities
Collection, systematization, and storage of information on pipelines, analysis of the technical condition and operating modes of pipelines
Effects of implementing DUO Tech
2-3%
Reduction of shortfalls
20-30%
Reduction of manual work in the field
5-10%
Reduction of overhead and operational costs
Advantages of using DUO Tech
01.
Improved response time to emergency situations and deviations from the planned operating mode of well and field equipment
02.
Action plans for targeted corrective measures based on improved loss analysis. Systemic constraints and unrealized potential are integrated into the OIS-BRIGHT platform
03.
Reduction of downtime through smart planning and optimization of the maintenance and repair scheduling system
04.
Real-time monitoring of the Integrated Operational Plan OIS-BRIGHT
05.
Monitoring of equipment in real-time to ensure compliance with the planned operating mode
06.
Optimization of cross-functional collaboration, resource allocation, operational modes of well pumping equipment, and reduction of field visits
07.
Accumulation of knowledge leading to improved decision-making quality. Application of Machine Learning for predictive analytics and optimization of operational processes
08.
Accurate and rapid planning with an increased level of detail
09.
Reduction of operational costs through the optimization of repair and maintenance schedules for wells and field infrastructure
10.
Implementation of predictive maintenance strategies to anticipate equipment failures and optimize the lifespan of wellbores, production zones, pipelines, and field equipment
11.
Scheduled preventive maintenance is incorporated into the Integrated Operational Plan
12.
Automatic selection of optimal, energy-efficient well and oilfield equipment, including the determination of the optimal operating mode to increase mean time between repairs and minimize downtime
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