Integrated Reservoir Modeling: Interpretation, Evaluation, and Optimization with Petrel
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- The “Integrated Reservoir Modeling: Interpretation, Evaluation, and Optimization with Petrel” course is designed to provide geoscientists and reservoir engineers with comprehensive skills in constructing and refining 3D reservoir models using Petrel software. This course emphasizes the integration of geological, geophysical, and petrophysical data to create accurate and predictive reservoir models, facilitating informed decision-making in hydrocarbon exploration and production.
Objectives:
By the end of this course, participants will be able to:
- Develop 3D reservoir models that integrate various data types to accurately represent subsurface conditions.
- Evaluate and interpret geological, geophysical, and petrophysical data within the Petrel environment.
- Optimize reservoir models to enhance hydrocarbon recovery strategies.
- Apply uncertainty analysis and upscaling techniques to improve model reliability and applicability.
Who Should Attend:
This course is ideal for:
- Geologists
- Geophysicists
- Petrophysicists
- Reservoir Engineers
- Drilling Engineers
- Seismic Interpreters
Professionals involved in subsurface reservoir characterization and modeling will benefit from this training. A basic understanding of Petrel software and principles of geology and log analysis is recommended.
Course Outline:
Day 1: Conceptual Design and Workflow
- Defining reservoir boundaries: top and base structures
- Establishing internal frameworks: correlation schemes
- Identifying reservoir compartments: fault geometry analysis
- Designing reservoir architecture: facies modeling
- Assessing petrophysical property distribution
- Conducting volumetric assessments
Day 2: Reservoir Framework Development
- Addressing depth conversion uncertainties
- Selecting and quality-controlling model surfaces
- Modeling faults and defining compartments
- Establishing stratigraphy and correlation
- Constructing grids for modeling
Day 3: Reservoir Architecture and Facies Modeling
- Analyzing depositional models and facies
- Integrating core and log data
- Applying statistical methods to facies analysis
- Utilizing object-based and indicator-based modeling techniques
- Conditioning facies models with seismic data
Day 4: 3D Property Modeling
- Reviewing basic petrophysical principles
- Implementing rock typing methodologies
- Applying statistical analyses to petrophysical data
- Modeling porosity, saturation, and permeability distributions
Day 5: Uncertainty Analysis and Upscaling
- Analyzing geological model outputs
- Estimating hydrocarbon volumes in place
- Determining drainable volumes
- Constructing simulation grids
- Upscaling properties for reservoir simulation
- Generating and ranking multiple modeling scenarios