Lummus Digital

LUMMUS DIGITAL

Proof Points.

Outcomes our customers have defended in the P&L. Production deployments. Day-one results. Sustained intelligence — across refining, petrochemicals and process industries.
CASE / 01

HPCL

Visakh Refinery
EFINING · INDIA · LC-MAX DIGITAL SUITE

Turning residue into margin.

A leading Indian refinery commissioned one of the world’s first 3.55 MMTPA LC-MAX® residue upgrading units — converting up to 93% of vacuum residue to high-value distillates at one of the industry’s highest complexity levels (NCI 11.6).
To manage the risks of a first-of-its-kind startup, the refinery deployed India’s first LC-MAX® Digital Suite — enabling end-to-end operational intelligence from day one. Real-time data integrated with licensor process models established a trusted digital foundation for safe commissioning, faster stabilisation, and sustained operational performance.

$2.5/bbl

LC-MAX® GRM uplift

Equivalent to ~$275M annual value at 110 KBPD capacity.

+10%

Distillate yield gain

Versus baseline. Optimisation decisions now simulated before execution.

$1–2M/yr

Phase 2 digital upside

Incremental margin leverage from continued hybrid-model optimisation.

The challenge

  • High startup & safety risk during pre-startup and feed cut-in
  • Fragmented visibility across critical LC-MAX® process systems
  • Inconsistent catalyst, inventory and mass-balance tracking
  • Limited visibility into early feed characterisation and yield estimates
  • Manual, time-intensive readiness and performance calculations
  • Cross-functional misalignment during a critical startup phase
The solution

The LC-MAX® Digital Suite, deployed in two phases. Phase 1: a production-ready digital foundation live before feed cut-in — integrating real-time plant data with proprietary licensor process models, delivering a unified operational view and automating critical engineering calculations.


Phase 2 builds on this foundation with advanced hybrid models combining first-principles knowledge with data-driven learning, driving ongoing optimisation in yields, energy performance, and operational efficiency.

The impact
  • System production-ready before feed cut-in
  • 2,000+ automated calculations every 2 hours
  • Real-time monitoring of catalyst health, reactors, hydrogen systems
  • Trade-offs (yield vs. energy) quantified before each decision
  • Single, trusted operational view from pre-startup through stabilised operation

The challenge

“India’s first LC-MAX® Digital Suite developed by Lummus Digital goes live at HPCL’s Visakh Refinery.”
CASE / 02

400

KBPD · Full conversion
REFINING · HYDROCRACKER PERFORMANCE MONITORING

Reinventing hydrocracker performance.

A 400,000 bpd full-conversion refinery set out to strengthen hydrocracker reliability, preserve catalyst health, and improve energy efficiency — under tight operating windows, at high severity, and with limited real-time visibility into unit health.

By deploying Lummus Digital’s integrated performance monitoring and advisory platform, the operator delivered measurable gains across unit stability, energy recovery and catalyst lifecycle — establishing a scalable digital foundation for continuous, sustained performance improvement.

$4M+/yr

Annual value identified

From energy recovery, stability gains and reduced downtime risk.

2–3mo

Catalyst cycle extension

Through earlier detection of thermal excursions and WABT drift — deferring $15–25M in reload costs.

2–3%

Energy efficiency improvement

Across critical heat exchange and fired-heater equipment.

The challenge

  • Limited real-time visibility into hydrocracker and reactor health
  • Delayed detection of catalyst degradation and thermal issues
  • 2–5% throughput gap vs. design from hidden constraints
  • Excess energy consumption — $3–5M/year in recoverable value
  • Each day of unplanned downtime = $1–2M in lost margin
The solution

An integrated digital performance-monitoring and advisory platform purpose-built for hydrocracker operations. Real-time data from control, historian and engineering systems consolidated into a single operational view — supported by advanced engineering models and normalised KPIs.



150+ structured KPIs unified from disparate systems. Threshold-based and predictive alerts. Centralised dashboards for operators, engineers, and management on a single shared view.

The impact
  • 40–60% faster issue detection — hours, not days
  • Improved reactor stability through early WABT detection
  • 60–70% reduction in manual reporting effort
  • Better asset utilisation through constraint visibility
  • Scalable foundation for AI APC and predictive maintenance