Oil & Gas / Refinery
Integrated process optimization, energy management, and predictive intelligence across upstream, midstream, and downstream operations.
The oil and gas industry faces increasing pressure to maximize throughput, reduce energy intensity, and meet tightening environmental regulations, all while managing aging infrastructure and volatile market conditions.
From crude distillation and catalytic cracking to hydrogen management and blending, refinery operations are among the most complex and energy-intensive in the process industry.
AhilyaSoft delivers AI-driven optimization across the entire refinery value chain, combining Advanced Process Control (APC), Real-Time Optimization (RTO), Energy Management Systems (EMS), and predictive asset intelligence into a unified digital platform.
Proven Results
Constraint pushing and real-time optimization across process units
Steam, power, and fuel optimization across the refinery
Typical mid-size refinery margin improvement
Rapid ROI through phased deployment
Why It Matters
Real-time economic optimization ensures operation at the most profitable point.
Holistic energy management across steam, power, and process heating.
Predictive analytics prevent unplanned shutdowns and extend asset life.
Emissions-aware optimization supporting net-zero targets.
Data-driven decision-making replacing manual operator interventions.
Industry Challenges
Highly interconnected process units with complex interactions Crude blend variability affecting throughput and yield Tight product quality specifications across multiple streams Energy-intensive operations with significant heat integration
Small inefficiencies cascade across units, significantly impacting margins.
Energy costs representing 50–60% of operating expenses Complex steam and power networks Flaring reduction mandates Carbon intensity reporting and reduction targets
Energy optimization directly impacts profitability and regulatory compliance.
Aging rotating equipment and heat exchangers Fouling and degradation in distillation columns and furnaces Compressor and turbine reliability concerns Strict safety and environmental compliance requirements
Unplanned shutdowns cost millions per day in lost production.
Volatile crude and product pricing Complex blending and logistics optimization Multi-unit scheduling coordination Demand-supply balancing across product slates
Real-time economic optimization is critical for margin capture.
Platform Coverage
Every operational challenge in your plant maps to one or more modules in the AhilyaSoft platform.
| Challenge | APC / RTO | EMS | MES / PPMS | LIMS | APM | AI / AASP |
|---|---|---|---|---|---|---|
01Margin Optimization | ||||||
02Energy Efficiency (Furnaces, Utilities) | ||||||
03Yield Optimization (Crude to Products) | ||||||
04Planning Optimization (LP / PIMS) | ||||||
05Unplanned Shutdowns | ||||||
06Product Quality Compliance | ||||||
07Asset Reliability | ||||||
08Process Variability |
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| Challenge | APC / RTO | EMS | MES / PPMS | LIMS | APM | AI / AASP |
|---|---|---|---|---|---|---|
01Margin Optimization | ||||||
02Energy Efficiency (Furnaces, Utilities) | ||||||
03Yield Optimization (Crude to Products) | ||||||
04Planning Optimization (LP / PIMS) | ||||||
05Unplanned Shutdowns | ||||||
06Product Quality Compliance | ||||||
07Asset Reliability | ||||||
08Process Variability |
AI & ML Control Targets
At the core of our optimization lies multivariable predictive control enhanced with AI, applied across every unit of the complex.
Maximize crude throughput
Optimize product yields and quality
Maintain column stability and efficiency
Minimize energy consumption per barrel
Optimize conversion and selectivity
Maintain catalyst circulation and regeneration
Maximize gasoline and LPG yields
Minimize coke production and emissions
Optimize hydrogen consumption
Maintain product specifications (sulfur, cetane)
Maximize catalyst cycle length
Optimize reactor temperature profile
Optimize steam network and power generation
Minimize fuel gas consumption
Optimize furnace and heater efficiency
Coordinate utility supply with process demands
India & Global
Refining margins are razor-thin and volatile. AI-driven optimization of crude blending, unit operations, and energy networks is the most effective lever for profitability.
A $1/bbl margin improvement = $50–100M annual benefit for a 200 KBPD refinery.
Our AI-driven APC, RTO, and energy optimization delivers measurable margin uplift with proven payback in under 12 months.
