Facility Debottlenecking and Production Optimization
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Facility Debottlenecking and Production Optimization - SF-FDPO-PEA27
| Code | Date | Time | Duration | Location | Currency | Early Bird Fee Per Person |
|---|---|---|---|---|---|---|
| SF-FDPO-PEA27 | 20 - 24 Sep 2027 | 10 AM CST | 5 Days - 4 Hours / Day |
Online |
USD |
4000 |
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Facility Debottlenecking and Production Optimization
This training covers how to increase throughput and recovery from existing facilities. It works through systematic capacity assessment of each equipment class, test run design and data reconciliation, identification of the true limiting constraint, the full range of debottlenecking options from operating change to capital revamp, and the economic and risk evaluation used to select between them.
Description
Facilities are rarely limited by the constraint people assume. A plant reported as separator-limited is often limited by a compressor discharge temperature, a cooling water supply, a produced water pump or a control valve that is fully open. Identifying the actual constraint, rather than the one that has been named in meetings for years, is the central skill in debottlenecking work and is where most of the value lies, because operating changes and low cost modifications frequently deliver a large part of the available gain.
This training covers that identification systematically. It develops capacity assessment methods for each equipment class, including separators, exchangers, fired heaters, compressors, pumps, columns, water treatment equipment and hydraulic systems, so that each item can be rated against its current duty rather than its nameplate. Test run design and data reconciliation follow, since establishing true current capacity requires operating the plant deliberately and closing the mass and energy balance on the results. Constraint identification, sequential constraint behaviour and the interaction between constraints are then covered. The training moves on to the debottlenecking options available at each level, from operating condition change through internals replacement and equipment addition to full revamp, and closes with the economic evaluation, risk assessment and execution planning that turn a study into a delivered gain.
Debottlenecking competes with new build on capital efficiency and usually wins. An existing facility has land, utilities, permits, infrastructure and an operating organisation already in place, which means incremental capacity is generally available at a fraction of greenfield cost. It also delivers faster, which matters when the production it makes available is declining. Against this, debottlenecking carries risks that greenfield work does not: it happens on a live plant, it consumes shutdown time, and it can degrade reliability if the removed constraint simply moves somewhere less convenient.
The methodology matters because constraints move. Removing the first constraint reveals the second, and a study that stops after identifying one limit will produce a modification that delivers a fraction of the expected gain. A proper capacity assessment rates every major item against current conditions and produces a ranked list of limits with the throughput each permits, which shows how far the plant can go for each increment of investment and where the sequence of constraints becomes prohibitively expensive.
Data quality determines whether any of this is credible. Facility measurements are incomplete, instruments drift, and flows are frequently inferred rather than measured. Establishing current capacity therefore requires a designed test run, careful data collection and reconciliation against mass and energy balance, and honest treatment of measurements that do not agree. Studies built on unreconciled operating data routinely produce capacity estimates that the plant cannot achieve.
Finally, much of the available gain is not capacity at all. Reducing deferment, improving uptime, recovering flared gas, cutting slop generation, reducing recycle and lowering energy consumption all improve production or margin without changing a single piece of equipment. A debottlenecking study that considers only throughput misses these.
By the end of this training, participants will be able to:
- Assess the current capacity of separators, exchangers, fired heaters, compressors, pumps, columns and water treatment equipment against actual operating conditions
- Design and execute a facility test run to establish true capacity and collect the data required
- Reconcile plant data against mass and energy balances and identify measurement error
- Identify the controlling constraint and the sequence of constraints behind it
- Evaluate hydraulic constraints across piping, control valves, relief systems and utility supply
- Specify low cost debottlenecking options including operating change, internals replacement and control modification
- Evaluate capital debottlenecking options including equipment addition, replacement and revamp
- Assess the reliability, safety and integrity consequences of removing a constraint
- Rank debottlenecking options by capital efficiency, execution risk and delivered production gain
The training follows the debottlenecking workflow in the order it is executed: capacity assessment, test run, data reconciliation, constraint identification, option generation, evaluation and execution planning. Capacity rating calculations for each equipment class are worked through numerically against realistic operating conditions. Test run design and data reconciliation are taught using operating data from producing facilities, including inconsistent data sets that participants resolve. Debottlenecking case studies covering separation, compression, water handling and utility constraints are examined with their outcomes, and participants are encouraged to bring capacity problems from their own facilities for group assessment.
Organisations sending participants to this training will:
- Increase facility throughput at capital cost well below greenfield equivalent
- Reduce production deferment by identifying and removing the constraints that actually limit output
- Improve the quality of capacity claims used in production planning and business commitments
- Avoid modification spend on constraints that are not actually limiting
- Reduce energy consumption and operating cost through optimisation identified during capacity work
- Build internal capability to conduct debottlenecking studies without external consultants
Participants will:
- Rate installed equipment against current duty rather than nameplate
- Design a test run and produce a reconciled data set from it
- Identify the true limiting constraint and the sequence behind it
- Generate and rank debottlenecking options across the cost spectrum
- Present a debottlenecking case with defensible capacity and economic figures
- Build a capability that is directly measurable in delivered production
- Process, facilities and production engineers
- Operations engineers and supervisors responsible for facility throughput
- Optimisation, performance and technical support engineers
- Project engineers evaluating brownfield modification options
- Maintenance and reliability engineers supporting capacity work
- Asset managers and planners making capacity commitments
- Technical staff evaluating expansion against debottlenecking
Module 1 - Debottlenecking Methodology
- Objectives: throughput, recovery, uptime, cost, emissions
- Debottlenecking against expansion and new build
- Study workflow and its sequence
- Defining the target and the basis for the study
- Nameplate, design, demonstrated and theoretical capacity
- Constraint types: equipment, hydraulic, utility, safety, environmental, operational
- Sequential constraints and the capacity staircase
- Study scoping, resourcing and deliverables
- Common reasons debottlenecking studies fail to deliver
Module 2 - Test Runs and Data Collection
- Purpose and design of a facility test run
- Selecting test conditions and duration
- Steady state establishment and identification
- Measurement plan: what to record and at what frequency
- Temporary instrumentation and additional sampling
- Laboratory analysis requirements during a test run
- Safety and operational risk management during test runs
- Data capture, historian extraction and record keeping
- Common test run design errors
Module 3 - Data Reconciliation and Balance Closure
- Mass balance closure across the facility and by unit
- Energy balance closure and heat loss allowance
- Component balance checking
- Instrument accuracy, drift and systematic error
- Identifying gross errors and unmeasured streams
- Data reconciliation methods and their application
- Reconciling laboratory analysis with online measurement
- Establishing which measurements to trust
- Producing a defensible reconciled data set
- Using a validated simulation model in the reconciliation
Module 4 - Capacity Assessment: Separation and Vessels
- Separator gas capacity assessment against current conditions
- Liquid capacity and retention time under current water cut
- Carryover and blowby thresholds as capacity limits
- Internals condition and its effect on capacity
- Nozzle and outlet piping limits
- Slug catcher and surge capacity assessment
- Pressure vessel rerating possibilities
- Column capacity: flooding, weeping and turndown limits
- Identifying separation capacity from operating data
Module 5 - Capacity Assessment: Heat Transfer and Fired Equipment
- Exchanger rating against current duty and fouled condition
- Distinguishing fouling from design limitation
- Air cooler capacity and ambient temperature sensitivity
- Cooling medium and cooling water supply constraints
- Fired heater duty, heat flux and tube skin temperature limits
- Combustion air and draft limitations
- Approach temperature as a capacity constraint
- Heat integration constraints across the facility
- Options for recovering heat transfer capacity
Module 6 - Capacity Assessment: Rotating Equipment
- Compressor capacity assessment against current gas properties
- Discharge temperature, rod load and power limits
- Surge margin and anti-surge recycle as capacity consumers
- Driver power limitation and ambient derating
- Pump capacity, NPSH margin and system curve limits
- Motor and electrical supply limits
- Machine condition and degraded performance
- Spare machine philosophy and its effect on firm capacity
- Options for recovering rotating equipment capacity
Module 7 - Hydraulic, Utility and Water Constraints
- Line size and pressure drop constraints across the facility
- Control valves operating fully open as hidden constraints
- Relief system capacity as a throughput limit
- Flare and blowdown system capacity
- Produced water treatment capacity and discharge quality limits
- Water injection and disposal capacity
- Utility constraints: power, instrument air, fuel gas, cooling, chemicals
- Storage, export and offtake constraints
- Wellhead backpressure and its link to facility pressure levels
- Identifying constraints that only appear at higher rates
Module 8 - Debottlenecking Options
- Operating condition changes: pressure levels, temperatures, recycle rates
- Control philosophy and set point changes
- Chemical treatment changes to relieve equipment duty
- Cleaning, internals replacement and equipment restoration
- Internals upgrade: separator internals, exchanger bundles, column trays and packing
- Impeller changes, restaging and machine modification
- Parallel equipment addition and capacity supplementation
- Equipment replacement and full revamp
- Process route change and technology substitution
- Ranking options by cost, gain, downtime and risk
Module 9 - Production Optimisation Beyond Capacity
- Deferment reduction and uptime improvement as production gains
- Reliability improvement targeting the equipment that actually causes downtime
- Recycle reduction and slop minimisation
- Flare and vent recovery
- Energy efficiency and fuel consumption reduction
- Product quality giveaway and specification optimisation
- Liquid recovery optimisation from separation and stabilisation
- Well and network optimisation interacting with facility constraints
- Real time optimisation and advanced control opportunities
- Sustaining optimisation gains after the study ends
Module 10 - Evaluation, Risk and Execution
- Economic evaluation of debottlenecking options
- Capital efficiency metrics and incremental production value
- Shutdown requirement, tie-in complexity and execution window
- Process safety consequence of increased throughput
- Relief and blowdown revalidation requirements
- Integrity consequence: velocity, erosion, vibration and corrosion
- Management of change and design basis revision
- Staged implementation and phased capacity increase
- Post-implementation verification of delivered capacity
- Building a business case that survives scrutiny
Upon successful completion of this training course, delegates will be awarded an official Certificate of Completion issued by the Petroleum Engineers Association (PEA), an ISO 9001:2015 certified training organization. The certificate carries 10 Credits and formally records the total learning hours completed.
Each certificate is signed by the Course Facilitator and the CEO of the Petroleum Engineers Association, and serves as verifiable proof of professional training that delegates can present to employers and professional bodies worldwide.
This course is led by a production optimization specialist with more than 20 years in the oil and gas industry, built on finding the constraint, removing it, and proving the gain.
He currently holds facility optimization leadership responsibility with a major operator managing existing production facilities, covering capacity assessment, constraint identification and economic evaluation of debottlenecking options — the disciplines that unlock additional throughput without new capital investment. Earlier in his career he served as a process engineer on major producing assets, leading capacity assessment and debottlenecking studies on some of the industry's most constrained production facilities. Across two decades he has taken several debottlenecking projects from constraint identification through implementation into proven, measurable production gains.
That operating background shapes how he teaches. Delegates learn not only how debottlenecking methodology is meant to work, but how it plays out in practice — where capacity assessment by equipment class actually reveals hidden constraints, why test run design and data reconciliation matter for credible results, what separates low cost from capital debottlenecking options, how operating optimisation delivers gains without major spend, and how engineering and operations teams rank and prioritise options together. Every module is anchored in real facility data, debottlenecking decisions and lessons from proven production gains.
His subject coverage spans the full debottlenecking chain: capacity assessment by equipment class, test run design and data reconciliation, constraint identification, low cost and capital debottlenecking options, operating optimisation, and the economic evaluation that ranks them.
He has delivered facility debottlenecking and production optimization training for many years across the Middle East, North Africa and Southeast Asia, working with mixed groups of process engineers, production engineers and technical management at every level of experience. He is an active contributor to industry forums on production optimization and facility debottlenecking.
His approach is practical, discussion-led and grounded in real facility optimization experience — not the textbook.
Frequently Asked Questions
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