Applied Reservoir Engineering & Management
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Applied Reservoir Engineering & Management - RE-REM-PEA27
| Code | Date | Time | Duration | Location | Currency | Early Bird Fee Per Person |
|---|---|---|---|---|---|---|
| RE-REM-PEA27 | 07 - 11 Jun 2027 | 10 AM CST | 4 Hours Per Day |
Online |
USD |
3500 |
Boost your team's skills and your budget! Enjoy group discounts for collaborative learning. Send an inquiry to info@peassociations.com.
Applied Reservoir Engineering & Management
A course on the practice of reservoir management as distinct from reservoir engineering calculation. It covers the reservoir management framework and plan, data acquisition strategy, surveillance and monitoring programmes, depletion strategy and recovery optimisation, well and reservoir management, integrated study workflows, reserves governance, economic decision making and the organisation and team practices that make reservoir management work.
Description
Reservoir engineering is a set of methods. Reservoir management is the discipline of applying them continuously to a producing asset in order to maximise recovery and value over the life of the field. The difference is substantial. A calculation answers a question asked at a point in time; management involves deciding which questions to ask, what data to acquire to answer them, how to monitor whether the field is behaving as expected, when to intervene, how to sequence investment, and how to keep a multidisciplinary team working from the same understanding of the reservoir.
This course addresses that practice. It covers the reservoir management framework and the content of a reservoir management plan, data acquisition strategy and the value of information, surveillance programme design and the monitoring of pressure, production, injection and fluid behaviour, depletion strategy including drive mechanism management and the timing of secondary and enhanced recovery, well and reservoir management including well performance monitoring, intervention selection and infill planning, integrated study workflows connecting geology, petrophysics, engineering and simulation, uncertainty management and its effect on decisions, reserves governance and reporting, economic evaluation of reservoir decisions, and the organisational aspects including asset team working, technical assurance and knowledge retention. It is aimed at engineers moving from performing analysis to being accountable for a reservoir.
A producing field is a long-running experiment that cannot be repeated. Decisions taken early — well spacing, depletion strategy, whether to inject and when, what data to acquire while it is still cheap to acquire it — constrain everything that follows. Recovery factors across otherwise similar fields vary by a factor of two or more, and a substantial part of that variation traces to management practice rather than to reservoir quality.
Effective reservoir management has a recognisable shape. There is a documented understanding of the reservoir and its drive mechanism, updated as evidence accumulates. There is a plan with a depletion strategy and identified decision points. There is a surveillance programme that measures the quantities the plan depends on, at a frequency that allows deviation to be detected while it can still be acted on. There is a process for deciding when observed behaviour is different enough from expectation to require the plan to change. And there is an organisation capable of acting on that finding.
What defeats this in practice is rarely technical difficulty. It is surveillance data that is acquired and never analysed, plans that are written for a development approval and never revisited, studies commissioned to answer questions nobody will act on, uncertainty acknowledged in a report and ignored in the decision, and knowledge that leaves with the engineer who held it. This course covers both the technical framework and the working practices that determine whether it functions, for engineers who are taking on responsibility for a reservoir rather than for a piece of analysis.
By the end of this training, participants will be able to:
- Establish a reservoir management framework and produce a reservoir management plan for an asset
- Design a data acquisition strategy justified by the decisions the data will support
- Build surveillance programmes covering pressure, production, injection and fluid behaviour
- Diagnose reservoir performance deviation from expected behaviour and determine its cause
- Develop depletion strategy including drive mechanism management and secondary recovery timing
- Apply well and reservoir management practice including intervention selection and infill planning
- Structure and scope integrated reservoir studies and specify what they must deliver
- Manage subsurface uncertainty explicitly through the decision process
- Apply reserves governance, classification and reporting requirements to an operating asset
- Organise asset team working, technical assurance and knowledge retention around the reservoir
The course is delivered as a practice-oriented programme built around the management of an operating reservoir through its life. Each subject is developed through what the manager must decide and what evidence supports that decision, rather than through calculation alone. Case material follows fields from development through plateau, decline and secondary recovery, including assets where management practice materially changed the recovery outcome and assets where it did not. Participants work through management decisions with incomplete information, which is the condition under which these decisions are actually made.
Organisations sending participants to this training will:
- Improve recovery factor through systematic reservoir management rather than reactive response
- Acquire the data that supports decisions and stop acquiring data that does not
- Detect reservoir performance deviation early enough to act on it
- Improve the quality and consistency of reservoir management plans across assets
- Strengthen reserves governance and the defensibility of reported volumes
- Retain subsurface knowledge across staff changes and organisational reorganisation
Participants will:
- Move from performing reservoir analysis to managing a reservoir
- Design surveillance and data acquisition programmes that earn their cost
- Diagnose why a field is not performing as expected and decide what to do
- Lead integrated studies and specify what they must deliver
- Make and defend reservoir decisions under uncertainty
- Take on senior technical and asset accountability roles
- Reservoir engineers moving into asset and management responsibility
- Senior reservoir engineers and reservoir engineering team leads
- Petroleum engineers with field and asset accountability
- Production engineers working closely with reservoir management
- Development geologists and geoscientists in asset teams
- Reserves and technical assurance specialists
- Subsurface and asset managers responsible for field performance
Module 1 — Reservoir Management Framework
- Definition, objectives and scope of reservoir management
- Difference between reservoir engineering and reservoir management
- Field life cycle and management priorities at each stage
- Reservoir management plan structure and content
- Setting recovery, rate and value objectives
- Decision points, review cycles and plan updating
- Roles, accountability and technical authority
- Common reasons reservoir management fails in practice
Module 2 — Reservoir Description and Understanding
- Building and maintaining a shared reservoir description
- Integration of geological, petrophysical and engineering evidence
- Drive mechanism identification and confirmation
- Compartmentalisation and connectivity assessment
- Fluid distribution, contacts and gradients
- Recognising when the reservoir description is wrong
- Updating the description as production evidence accumulates
- Documentation and knowledge retention
Module 3 — Data Acquisition Strategy
- Linking data acquisition to specific decisions
- Value of information assessment
- Core, log, test and fluid data programmes
- Pressure measurement strategy and gauge deployment
- Well testing programmes and their justification
- Time-lapse seismic and other monitoring technologies
- Cost, timing and the closing window for acquisition
- Avoiding data collected for its own sake
Module 4 — Surveillance and Performance Monitoring
- Surveillance programme design and frequency
- Production and injection measurement and allocation quality
- Pressure surveillance and average reservoir pressure determination
- Fluid property and composition monitoring
- Well testing frequency and test quality
- Surveillance plots and diagnostic routines
- Exception detection and escalation
- Turning surveillance data into action
Module 5 — Performance Diagnosis and Deviation Management
- Establishing expected behaviour against which to compare
- Recognising deviation and distinguishing it from noise
- Diagnosing underperformance: reservoir, well or facility cause
- Water and gas breakthrough diagnosis
- Pressure decline inconsistent with the model
- Reconciling material balance, simulation and production evidence
- Deciding when the reservoir model must be revised
- Corrective action selection and its evaluation
Module 6 — Depletion Strategy and Recovery Optimisation
- Drive mechanism management and energy conservation
- Rate versus ultimate recovery considerations
- Pressure maintenance timing and method selection
- Secondary recovery initiation decisions
- Enhanced recovery screening and pilot planning
- Gas management: reinjection, sales, lift and conservation
- Depletion plan for compartmentalised and layered reservoirs
- Managing the transition between field life stages
Module 7 — Well and Reservoir Management
- Well performance monitoring and productivity tracking
- Well intervention selection and prioritisation
- Artificial lift strategy through field life
- Water and gas shutoff decisions
- Infill drilling identification and evaluation
- Well spacing, drainage and interference management
- Well integrity and its reservoir management implications
- Abandonment candidate identification and timing
Module 8 — Integrated Studies and Modelling
- When a full field study is justified and when it is not
- Study scoping, objectives and deliverable definition
- Static and dynamic model integration
- History matching objectives, quality and limits
- Prediction cases and their credibility
- Analytical validation of simulation results
- Managing study duration, cost and expectation
- Turning study output into decisions and plan changes
Module 9 — Uncertainty, Risk and Decision Making
- Identifying the uncertainties that affect decisions
- Quantifying uncertainty in recovery, rate and timing
- Scenario and multiple realisation approaches
- Decision analysis for reservoir management choices
- Robustness and flexibility in development decisions
- Value of information applied to reservoir decisions
- Communicating uncertainty to management and partners
- Avoiding false precision in reservoir forecasts
Module 10 — Reserves, Economics and Governance
- Reserves classification frameworks and commerciality criteria
- Reserves estimation methods and their application by field stage
- Economic limit and its effect on booked reserves
- Reserves revision, reconciliation and audit
- Economic evaluation of reservoir management decisions
- Capital allocation between competing reservoir opportunities
- Technical assurance and peer review processes
- Regulatory and partner reporting obligations
Module 11 — Organisation, Team Practice and Continuous Improvement
- Asset team structure and multidisciplinary working
- Interfaces between subsurface, wells, operations and commercial functions
- Managing the reservoir management plan as a living document
- Benchmarking recovery and performance against analogue fields
- Lessons learned capture and application
- Knowledge retention across staff and organisational change
- Digital tools, data management and their contribution
- Building a reservoir management improvement plan for an asset
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.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.