Managing Project Controls Using AI Tools for Refinery Projects Training Course
Equips refinery project teams to use AI for schedule analysis, cost forecasting, progress tracking, risk detection and validated cross-phase reporting.
5 Days·Classroom
Explains how processing facilities receive, separate, treat and stabilize crude, gas and condensate, and how they are operated, controlled and kept safe.
Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy
The Oil & Gas Processing Facilities Training Course provides a comprehensive and practical understanding of the design, operation, control, maintenance, safety, and optimization of oil and gas processing facilities. The course focuses on how raw hydrocarbons are received, separated, treated, conditioned, stabilized, and prepared for transportation, refining, export, or further processing. Participants will explore the major processing systems and equipment used in upstream and midstream facilities, including separation systems, gas treatment, dehydration, sweetening, stabilization, compression, dehydration and hydrocarbon dew-point control, produced-water treatment, metering, storage, utilities, and flare systems. Emphasis is placed on understanding process interactions and maintaining stable, efficient, and safe facility operation. The program also addresses operational challenges such as pressure and temperature fluctuations, equipment constraints, process upsets, corrosion, fouling, hydrate formation, liquid carryover, gas quality issues, and production losses. Participants will develop the ability to interpret process conditions and identify opportunities to improve facility reliability, throughput, energy efficiency, and product quality. The course integrates process safety, asset integrity, operational reliability, energy management, environmental performance, and facility optimization, making it particularly relevant to organizations seeking to strengthen the performance of oil and gas processing assets and improve operational decision-making.
Course Outline
| City | Dates | Price per Participant | Early Bird | |
|---|---|---|---|---|
MunichScheduled | 2 – 6 Nov 2026 | €6,000 | — | |
LisbonScheduled | 2 – 6 Nov 2026 | €6,000 | — | |
CasablancaScheduled | 2 – 6 Nov 2026 | €4,700 | — | |
AmmanScheduled | 9 – 13 Nov 2026 | €4,000 | — | |
DammamScheduled | 9 – 13 Nov 2026 | €4,800 | — | |
LondonScheduled | 9 – 13 Nov 2026 | €5,800 | — | |
MuscatScheduled | 9 – 13 Nov 2026 | €6,300 | — | |
OnlineScheduled | 15 – 19 Nov 2026 | €2,700 | — | |
MadinahScheduled | 16 – 20 Nov 2026 | €4,800 | — | |
DohaScheduled | 16 – 20 Nov 2026 | €4,700 | — | |
AmsterdamScheduled | 16 – 20 Nov 2026 | €6,000 | — | |
DubaiScheduled | 22 – 26 Nov 2026 | €4,700 | €4,230until 2 Nov | |
ParisScheduled | 23 – 27 Nov 2026 | €6,700 | €6,030until 2 Nov | |
MadridScheduled | 23 – 27 Nov 2026 | €6,000 | €5,400until 2 Nov | |
BakuScheduled | 23 – 27 Nov 2026 | €5,300 | €4,770until 2 Nov | |
BangkokScheduled | 30 Nov – 4 Dec 2026 | €6,700 | €6,030until 9 Nov | |
MakkahScheduled | 30 Nov – 4 Dec 2026 | €4,800 | €4,320until 9 Nov | |
FrankfurtScheduled | 30 Nov – 4 Dec 2026 | €6,200 | €5,580until 9 Nov | |
RabatScheduled | 30 Nov – 4 Dec 2026 | €4,700 | €4,230until 9 Nov | |
RomeScheduled | 7 – 11 Dec 2026 | €7,000 | €6,300until 16 Nov | |
ManamaScheduled | 7 – 11 Dec 2026 | €5,300 | €4,770until 16 Nov | |
BarcelonaScheduled | 7 – 11 Dec 2026 | €6,000 | €5,400until 16 Nov | |
GenevaScheduled | 7 – 11 Dec 2026 | €7,300 | €6,570until 16 Nov | |
MarrakeshScheduled | 14 – 18 Dec 2026 | €4,700 | €4,230until 23 Nov | |
BerlinScheduled | 14 – 18 Dec 2026 | €6,300 | €5,670until 23 Nov | |
ViennaScheduled | 14 – 18 Dec 2026 | €6,400 | €5,760until 23 Nov | |
IstanbulScheduled | 14 – 18 Dec 2026 | €5,300 | €4,770until 23 Nov | |
Kuala LumpurScheduled | 21 – 25 Dec 2026 | €4,700 | €4,230until 30 Nov | |
MilanScheduled | 21 – 25 Dec 2026 | €7,000 | €6,300until 30 Nov | |
CairoScheduled | 21 – 25 Dec 2026 | €3,800 | €3,420until 30 Nov |
Available in: Istanbul · Dubai · London · Doha · Amsterdam
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Equips refinery project teams to use AI for schedule analysis, cost forecasting, progress tracking, risk detection and validated cross-phase reporting.
5 Days·Classroom
Develops the skills to run refinery process units safely and reliably, from crude oil characteristics and process control to product quality and energy use.
5 Days·Classroom
Covers the full refining and petrochemical value chain, from crude oil processing and conversion units to feedstocks, polymers and operational performance.
5 Days·Classroom
Speak with our advisors about upcoming programmes or a bespoke corporate training plan.