- duration: 2 days
- level: Foundation
- format: Virtual course
- accreditation: CPD
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code: D12
format: Virtual workshop
duration: 5 days
level: Advanced
accreditation: CPD
participants: 10
availability:
$2,999.00
about the course
The course provides an in-depth understanding of the role that reservoir simulation plays in exploration and production companies. The course is hands-on, looking at real case studies and focusses on practical problems and how to solve them. Simulation for pre-development and mature fields is discussed, providing an integrated view of modelling sub-surface, facilities and commercial operations. A refresher session on multi-phase flow in the reservoir and production facilities is followed by the numerical treatment of the equations of flow, and how these equations are solved using modern computer hardware.
The reservoir simulation workflow is presented, from geological modelling, fluid property characterisation and handling of well completion and production data. The modelling of geological structures including pinch-outs and complex faulting is discussed, together with techniques for interpolating poro-perm distributions and upscaling from geocellular-geostatistical models. Data preparation of fluid and rock properties and initialisation of the model is illustrated by field examples, together with preparation of well production data. These concepts – geology, rock and fluid properties, well data – are illustrated using hands-on models including a gas-condensate reservoir, oil reservoir under water-flood, and a three-phase reservoir with aquifer influx. Uncertainty analysis is introduced by identifying the major uncertainties that impact production forecasts, together with how this analysis is extended to history-matching and planning robust field developments.
The course participants will be able to run the case studies using RFD’s tNavigator suite and investigate the impact of model assumptions on-field development and economic planning.
course objective
The course is designed for:
Engineers with a good understanding of reservoir engineering principles and a basic knowledge of reservoir simulation. Also, for practising geoscientists who need to work with and supply data to reservoir simulation engineers.
Key learning objectives
- Learn the role reservoir simulation plays in the modern oil and gas company.
- Discuss the different types of the model from pre-development and mature field to integrated asset management.
- Understand reservoir simulation workflows including building simulation models from mapped data to upscaling geocellular models.
- Learn the data requirements of reservoir simulation and how to prepare and QC data from different sources.
- See these concepts integrated into field-scale case studies including gas condensate, oil water-flood, and three-phase reservoir with aquifer influx.
- Understand the concept of uncertainty analysis and how to identify the important parameters for sensitivity analysis.
- Use modern methods including experimental design and stochastic optimisation to carry out history-matching.
course content
DAY 1
The role of reservoir simulation in the corporation
- Pre-development, green-field
- Mature, brown-field
- Integrated production modelling
Review of simulation fundamentals
- Multi-phase flow in porous media
- Flow in pipelines and tubing
- Numerical methods
Computing systems
- Desktop
- Parallel Clusters
- GPUs
The reservoir simulation workflow
- Geological modelling
- Reservoir structure
- Rock properties
- Fluid properties (PVT, Rel Perm, Cap Pressure)
- Fluid contacts
- Model initialisation
- Well completions
- Production data
Model QC
Running the model
Analysing Results
DAY 2
Reservoir Simulation Approaches
- Top-down versus Bottom-up
Simulation Data Requirements
- Static volumetric
- Dynamic single-phase flow
- Dynamic multi-phase flow
Modelling Reservoir Structure
- Depth and structure maps
- Vertical and complex faulting
- Stratigraphy
- Erosional and truncation surfaces
- Pinch-outs
Modelling Depositional Environments
- Simple interpolation
- Advanced Kriging
- Facies and rock types
- Geostatistics
- Geocellular models
Upscaling
- Porosity and permeability
- Saturation end-points
- Fault juxtaposition and cross-flow
DAY 3
Preparation of Rock and Fluid Properties
- SCAL
- Rel permeability
- Cap pressure
- End-point correlations
- Normalisation
- PVT analysis
- Rock and water properties
Preparation of Production Data
- Well completions
- Horizontal wells
- Multi-laterals
- Multiple hydraulic fractures
- Smart wells
- Artificial lift
- Production constraints
Introduction to Field-Scale Models
- Gas condensate reservoir – depletion drive
- Oil reservoir – water-flood
- Oil column with gas cap – aquifer influx
DAY 4
Parameters for Sensitivity Analysis
- Structural modelling
- Seismic picks
- Seismic Velocities
- Well trajectories
- Rock property distributions
- Facies models
- Geostatistical realisations
- Fault transmissibility modifiers
- Permeability-porosity modifiers
- Rock and fluid property uncertainty
- Fluid contact uncertainty
- Production operations
Production Forecasting under Uncertainty
- Probability distributions
- SPE PRMS reporting requirements
Hands-on Examples
- Gas condensate reservoir
- Water-flood reservoir
- Oil and gas-cap reservoir with aquifer influx
DAY 5
History Matching
- Objectives
- Techniques
- Experimental design
- Latin hypercube sampling
- Direct search methods
- Response surface (proxy methods)
- Ensemble Kalman filter
History-Match Workflow
- Parameter identification
- Parameter ranges
- Global versus local parameters
- Consistency checks Data analysis and review
History Match Hands-on Example
- ADNOC model reservoir
tNavigator Q&A
Course Review
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Advanced Reservoir Simulation Technologies
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