Production Asset Operation Optimization: Current Situation and Potential Solution
OBJECTIVE:
Identifying optimization solutions for equipment operation modes in the production and preparation chain:
• Production allocation across wells
• Selection of fractionation column operating mode
• Optimization of low-temperature separation processes
• Compressor equipment efficiency
• Production allocation across wells
• Selection of fractionation column operating mode
• Optimization of low-temperature separation processes
• Compressor equipment efficiency
CHALLENGES:
• Using models for decision-making in "manual mode" requires significant time to generate optimization variants for control
• Specialized personnel are needed to operate the solution and derive operational mode variants for the facility
SOLUTION:
• Real-time integrated digital twin automatically calculates product flow parameters through equipment
• Virtual sensor system, based on digital twins, provides flow parameters at any asset section (temperature, pressure, component composition)
• Optimization algorithms automatically generate optimal equipment operation variants to increase target product output
• Specialized personnel are needed to operate the solution and derive operational mode variants for the facility
SOLUTION:
• Real-time integrated digital twin automatically calculates product flow parameters through equipment
• Virtual sensor system, based on digital twins, provides flow parameters at any asset section (temperature, pressure, component composition)
• Optimization algorithms automatically generate optimal equipment operation variants to increase target product output
POTENTIAL BUSINESS BENEFITS:
• Forecasting profit maximization for the asset’s target product
• Increased output of target commercial products (LPG, stable condensate)
• Energy savings
• Reduced methanol usage costs
• Improved commercial product quality (compliance with standards)
• Forecasting profit maximization for the asset’s target product
• Increased output of target commercial products (LPG, stable condensate)
• Energy savings
• Reduced methanol usage costs
• Improved commercial product quality (compliance with standards)
Implemented Business Projects: Dobrinsky GKM Example
Digital Twin of GPP
Results:
• Optimized column equipment and LTS section, increasing target product yield by 4%
• Optimized propane refrigeration unit to reduce inlet temperature for low-temperature separation by 20°C
• Forecasted GPP operation mode when replacing ejector unit with turboexpander
Digital Twin of Well Stock and Gas Collection Network
Results:
• Digital twin enabled assessment of well park operation mode changes upon commissioning a new well (well was under drilling during twin creation).
• Digital twin enabled assessment of well park operation mode changes upon commissioning a new well (well was under drilling during twin creation).
• Model allowed evaluation of flow rate and component composition changes for each well and at GPP inlet
Potential Business Benefits
up to
5%
Increase in C₃+ component recovery
up to
4.2%
Increase in gas production
AEROGAS LLC
2011 — 2025 ©
2011 — 2025 ©