Assisted History Matching and Uncertainty Course

Name: Assisted History Matching and Reservoir Uncertainty Training Course
Availability: InStock

Calibrate dynamic reservoir models, diagnose match quality, and present forecast uncertainty for defensible asset decisions.

Assisted History Matching and Uncertainty Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Montreux, Kuala Lumpur, Paris, Chicago, Abu Dhabi, Milan and more
Next session: 12 – 16 October 2026, Montreux
Average fee: 7,550 €

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Assisted History Matching and Reservoir Uncertainty Training Course

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Overview

Assisted History Matching and Reservoir Uncertainty Training Course is a five-day advanced course for reservoir, simulation, subsurface, geoscience, production, and uncertainty professionals who leave with a Calibrated Reservoir Forecast and Uncertainty Pack. The course connects dynamic reservoir model calibration, production and pressure data, objective functions, sensitivity screening, proxy modeling, optimization, ensemble history matching, forecast uncertainty, and governance. Participants replace isolated manual adjustments with a traceable assisted history matching workflow. Agile Leaders Training Center delivers this course on reservoir uncertainty quantification.

Who Should Attend

Reservoir engineering functions responsible for simulation model calibration and development forecasts
Subsurface modeling functions responsible for static-to-dynamic uncertainty parameterization
Geoscience functions responsible for geological plausibility and uncertainty ranges
Production technology functions responsible for surveillance data and well-performance interpretation
Uncertainty analysis functions responsible for ensembles, probability ranges, and decision scenarios
Asset planning functions responsible for development options and forecast assurance

The course assumes participants already use reservoir simulation models and production data at work, and it leaves out introductory simulation setup, generic data analytics, and basic production-history analysis.

Departments and Industries

The course supports model calibration and uncertainty-informed decisions across subsurface and asset teams.

Reservoir engineering, simulation, and subsurface assurance departments
Geology, geophysics, and integrated asset-modeling functions
Production technology, surveillance, and field-development teams
Oil, gas, geothermal, and subsurface storage organizations
Energy consulting, technical assurance, and engineering-service providers

Learning Objectives

By the end of this course, participants will be able to:

Analyze surveillance evidence and define calibration acceptance criteria
Build parameterization, experimental-design, and sensitivity-screening plans
Apply proxy, optimization, and ensemble history matching methods
Diagnose convergence, non-uniqueness, and geological consistency issues
Evaluate posterior uncertainty and reservoir production forecasting envelopes
Assemble governed model evidence for development decisions

Course Agenda

Day 1: Evidence and Calibration Scope

Production and Pressure Data Quality Register
Dynamic Reservoir Model Calibration Boundary Map
Observation Weighting and Objective Function Design
Geological and Dynamic Uncertainty Parameter Register
History-Match Acceptance and Governance Criteria

Day 2: Parameterization and Sensitivity

Reservoir Parameterization and Regionalization Strategy
Experimental Design and Sampling Plan
Sensitivity Screening and Response Ranking
Proxy Model Construction and Validation Method
Identifiability and Non-Uniqueness Diagnostic

Day 3: Assisted Matching Workflows

Optimization Algorithm Selection Matrix
Automated Simulation Run Management Workflow
Ensemble History Matching Update Cycle
Multi-Objective Match Quality Dashboard
Convergence, Constraint, and Failure Diagnostic

Day 4: Posterior Uncertainty and Forecasts

Posterior Ensemble and Uncertainty Range
Forecast Envelope and Percentile Analysis
Decision Scenario Conditioning Map
Development Option Robustness Scorecard
Model Governance and Technical Reporting Pack

Day 5: Reservoir Calibration Practice

Suggested Exercise: Data Weighting and Objective Function
Suggested Exercise: Sensitivity and Proxy Review
Suggested Exercise: Assisted Match Diagnostics
Suggested Exercise: Forecast Uncertainty Decision Briefing
Capstone Exercise: Calibrated Reservoir Forecast and Uncertainty Pack

Practical Exercises

The course uses suggested activities to convert reservoir evidence into calibrated forecasts and decision-ready uncertainty ranges.

Suggested activity: design observation weights and objective functions for pressure, rate, and water-cut evidence.
Suggested activity: screen uncertain properties and validate a proxy before optimization runs.
Suggested activity: diagnose an ensemble with acceptable global fit but weak well-level behavior.
Suggested activity: brief an asset team on forecast percentiles, robust options, limitations, and governance actions.

FAQs

Who suits assisted history matching training, and what does it assume?

Assisted history matching training suits experienced reservoir, simulation, subsurface, geoscience, production, uncertainty, and asset professionals who already work with dynamic reservoir models and surveillance evidence.

How does assisted history matching differ from introductory reservoir simulation training?

Assisted history matching focuses on calibrating an existing dynamic model, diagnosing fit, preserving plausible geology, and quantifying forecast uncertainty, while introductory reservoir simulation training focuses on model construction, numerical concepts, and basic simulation runs.

Why does reservoir uncertainty quantification use an ensemble rather than one matched model?

An ensemble retains multiple models that satisfy evidence and constraints, allowing teams to examine non-uniqueness, posterior ranges, forecast percentiles, and decision robustness instead of treating one calibration as certain.

What does an objective function contribute to assisted history matching?

An objective function converts mismatches between simulated and observed responses into measurable criteria, with weights reflecting data quality, scale, business relevance, and the balance between field-level and well-level behavior.

What belongs in a calibrated reservoir forecast and uncertainty pack?

A calibrated reservoir forecast and uncertainty pack contains evidence checks, parameter ranges, objective functions, sensitivity results, accepted ensembles, diagnostics, forecast envelopes, decision scenarios, limitations, governance records, and technical reporting.

Conclusion

Participants leave with a Calibrated Reservoir Forecast and Uncertainty Pack containing evidence controls, parameterization, sensitivity results, assisted-match diagnostics, posterior ensembles, forecast ranges, decision scenarios, and governance records. The pack changes model tuning into a traceable engineering workflow. It supports clearer development choices across reservoir, production, geoscience, and asset functions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Location	Dates	Duration	Mode	Price
Vienna	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€7,500
Toronto	Week 10, 2027 14 – 18 March 2027	5 Days	Onsite	€16,000
Istanbul	Week 11, 2027 15 – 19 March 2027	5 Days	Onsite	€6,000
Athens	Week 12, 2027 22 – 26 March 2027	5 Days	Onsite	€7,500
Dubai	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€6,500
Langkawi	Week 14, 2027 11 – 15 April 2027	5 Days	Onsite	€8,000
Accra	Week 16, 2027 25 – 29 April 2027	5 Days	Onsite	€6,000
Baku	Week 18, 2027 3 – 7 May 2027	5 Days	Onsite	€8,000
Trabzon	Week 18, 2027 9 – 13 May 2027	5 Days	Onsite	€8,000
London	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€6,500
Madrid	Week 21, 2027 24 – 28 May 2027	5 Days	Onsite	€6,500
Prague	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€7,500
Nice	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€8,000
Amsterdam	Week 23, 2027 7 – 11 June 2027	5 Days	Onsite	€6,500
San Diego	Week 24, 2027 14 – 18 June 2027	5 Days	Onsite	€16,000
Casablanca	Week 26, 2027 28 June – 2 July 2027	5 Days	Onsite	€6,000
Johannesburg	Week 26, 2027 4 – 8 July 2027	5 Days	Onsite	€6,000
Amman	Week 27, 2027 11 – 15 July 2027	5 Days	Onsite	€6,000
Singapore	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€6,500
Dubai	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€6,500

Frequently asked questions

What does this course cover?

OverviewAssisted History Matching and Reservoir Uncertainty Training Course is a five-day advanced course for reservoir, simulation, subsurface, geoscience, production, and uncertainty professionals who leave with a Calibrated Reservoir Forecast and Uncertainty Pack. The course connects dynamic reservoir model calibration, production and pressure data, ob…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Assisted History Matching and Uncertainty Course