ADIPEC 2026

See Orbital live on the KBR stand · Hall 7, booth 7254 · 2–5 Nov, Abu Dhabi

ADIPEC 2026

See Orbital live on the KBR stand · Booth 7254, 2–5 Nov

ADIPEC 2026

Orbital live · Booth 7254

Verticals

Different plants.
Grounded in the same physics.

Find operating headroom. Understand energy trade-offs. Spot equipment issues earlier. Explore how Orbital applies physics-grounded AI to the decisions your operation faces every day.

Shared physics.
Your plant’s operating data.

Orbital combines physical principles with the behaviour of your own units, so insights stay connected to the process your team knows.

Refinery with process columns, fired heaters and pipe racks

From changing feed to the unit’s operating limits.

Refining

Find headroom on today’s feed.

Feed changes. Catalysts age. Exchangers foul. Orbital uses live operating data to help engineers understand the unit’s current state and assess where performance can improve.

Understand
the operating margin

Understand the operating margin

See how today’s conditions change the room available within unit constraints.

Assess energy
and yield together

Assess energy and yield together

Explore the effect of operating changes on competing process objectives.

Recognise
emerging deviations

Recognise emerging deviations

Identify changes in equipment and process behaviour for your team to investigate.

Where It Applies

Catalytic Reforming

Crude Distillation

Hydroprocessing

Steam & Utilities

Petrochemicals

See the effect of a change before you make it.

Changing feed, product requirements and tight operating limits create trade-offs across the train. Orbital learns the behaviour of individual units to help engineers evaluate the next operating decision.

Petrochemical plant with structures, pipework and a red and white stack

Understand the train.
Evaluate the next move.

Plan transitions
with process context

Plan transitions with process context

Assess changes in product quality and energy demand when grades or feed conditions shift.

Understand
connected trade-offs

Understand connected trade-offs

Explore how a change in one part of the train affects performance elsewhere.

Investigate unexpected behaviour

Bring operating data and process context together to support troubleshooting.

Where It Applies

Propylene Oxide & MTBE

Olefins

Ammonia

Grade & Feed Transitions

LNG storage tanks beside the water at a terminal

Energy, throughput and the conditions connecting them.

LNG

Understand what’s limiting your train.

Ambient temperature, feed composition and exchanger condition all affect liquefaction performance. Orbital connects these changing conditions to the energy and throughput decisions your team needs to make.

Make energy
trade-offs visible

Make energy trade-offs visible

Assess compression and refrigeration demand in the context of current operating conditions.

Understand
the coupled process

Understand the coupled process

Explore how changes propagate through pretreatment, refrigeration and liquefaction.

Follow changing
equipment performance

Follow changing equipment performance

Monitor deviations that may affect efficiency, reliability and available headroom.

Where It Applies

Liquefaction Trains

Refrigerant Compression

Cryogenic Heat Exchange

Feed Variability

Upstream

Spot equipment issues before they escalate.

Orbital supports production teams with early anomaly detection and condition monitoring, helping engineers understand changes in equipment behaviour and focus their investigation.

Offshore production platform surrounded by open water

Earlier understanding.
Better-informed investigation.

Detect departures from normal operation

Look for emerging anomalies in the equipment’s own operating data.

Track
asset condition

Trackasset condition

Follow changes in rotating and process equipment performance over time.

Give reliability teams more context

Connect unusual signals with operating conditions to guide the next investigation.

Where It Applies

Production Equipment

Rotating Equipment

Process Equipment

Condition Monitoring

Focused on production equipment. Well logging, well surveillance and subsurface analytics sit outside this scope.

Explore the evidence

Tested on real processes.

Customer experience and process simulations offer different kinds of evidence. Explore the setting behind each example.

Customer Perspective

Petrochemicals

From a PO/MTBE pilot to a wider partnership.

In a published customer testimonial, Mark Holden describes a PO/MTBE pilot that supported knowledge retention, problem solving and decision making—and an expansion of the partnership.

Read the customer’s account in Applied Computing’s partner and customer perspectives.

Process Simulation

Refining

$119K
$119K
$119K

Annual savings identified in a hydrotreater simulation.

A study using a simulation of the Reliance Jamnagar refinery explored energy reduction while maintaining product quality.

Modelled opportunity, rather than reported savings realised in a live deployment.

Process Simulation

Distillation

25%
25%
25%

Efficiency improvement in simulated distillation.

A DWSIM study evaluated energy optimisation in an alkylation process producing octane and dodecane.

A process-specific simulation; not a measured grade-transition result.

Each example reflects its stated process and evaluation setting. A technical briefing can help establish what is relevant to your facility and how an opportunity could be assessed.

Start with your operation

One unit.
A useful first conversation.

Bring a process challenge your team knows well. We’ll discuss where Orbital may fit and what would be needed to evaluate it.

Your unit, objectives and operating constraints

The available data and relevant applications

A practical next step and how to assess value

Start with a conversation. No plant data upload is needed here.