Refining and Downstream Value Chain
Crude Distillation Unit Modeling
Refinery Production Planning
Refinery Scheduling
Multi-Period Blend Optimization
Asset Analytics
Performance Management
Distribution Optimization
Feed Selection and Optimization
Feedstock selection
is the most important profitability driver for most refineries.
Achieve the best possible solution with zero local optimal
Advanced Process Control
15+ site and circuit models using Aspen PIMS-AO
Maximize margins by optimizing feedstock, products, and production plans in your refinery with confidence from Aspen’s proprietary PIMS-AO optimization engine.
Increase production, reduce energy usage and improve yields with the world’s most profit hungry APC technology. Achieve millions of dollars in APC benefits by continuously adapting controller to ever changing plant conditions.
$10M benefits in refining
The gold standard of Advanced Process Control
Advanced Process Control
Aspen HYSYS & Aspen EDR Save energy and increase throughput
by monitoring and optimization of the integrated distillation column
and crude preheat train unit. This maximizes refinery margin by ensuring optimal operation of
the critical CDU.
$4M per year savings
from vacuum distillation preheat train fouling monitoring
Crude Distillation Unit Modeling
Refinery Production Planning
Feed Selection and Optimization
Distribution Optimization
Performance Management
Asset Analytics
Multi-Period Blend Optimization
Refinery Scheduling
Maximize margins
with better collaboration and decision making. Increase visibility for a comprehensive, refinery-wide view of the schedule by simultaneously scheduling all key activities from within a single platform.
Reduced
operational target changes by up to 70%
Increased refinery margin by about 10 cents per barrel, about 8.5 M$ per year
Reduce operating costs
by distributing feedstock and products to the right location at the best price
Minimizes cost of supply and helps make strategic business decisions
Reduce off-spec blends and quality giveaway
by simultaneously optimizing
multi-period blends for short and
long-term campaigns.
Reduced quality
giveaway by 70%
Key Performance Indicator (KPIs)
monitoring in real-time through a set of predefined dashboards and alerting. Improved visibility and real-time monitoring of important business KPIs to drive performanceimprovements.
2% reduction
in energy costs through monitoring
Reduce operating costs
24-hours-a-day, seven-days-a-week, looking for exact patterns. Pattern recognition using machine learning allows provides warnings weeks or months earlier, allowing time to schedule repairs and order parts, make production and inventory adjustments to prevent losses.
Executed a project in weeks that predicted equipment failures up to 45 days in advance, increasing revenue and reducing operating
Multi-Period Blend Optimization
The Most Trusted Production Planning Software
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