Reservoir Modelling Data Quiz

Reservoir Modelling: Input Data

• Reservoir modeling uses two main types of data:

  • Static data (e.g., core samples, well logs, seismic interpretations)
  • Dynamic data (e.g., pressure, fluid production observed at wells)

• Integrating both static and dynamic data improves reservoir model quality.

• Data integration benefits reservoir engineers. This allows better reservoir simulation and management.

Importance of Data Integration

• Increased accuracy in predictions
• Enhanced risk assessment
• Improved decision making in resource management

Reservoir Model Geometry Data

• Reservoir model geometry is defined by polygons specifying the lateral extent of the model.
• The model's top and base surfaces define the vertical positions and thickness of the reservoir.
• Intermediate surfaces are sometimes needed to define internal stratigraphic architecture.
• These surfaces can come from seismic interpretations or mapping formation markers from wells and stratigraphic correlations.

Fault Data

• Faults influencing fluid flow are essential inputs for defining faulted model frameworks.
• Fault information is often obtained from seismic interpretations.

Petrophysical Property Data

• Petrophysical properties model data, such as properties, are usually obtained from petrophysical analysis of well logs and cores.

Dynamic Data

• Dynamic data changes over time.
• Examples: pressures, liquid and gas production rates can be used to model a reservoir.

Data Collection & Management

• Data management is crucial for modeling projects.
• The quality of input data directly impacts the final results.
• Inconsistencies in input data will become apparent during intermediate modeling steps.

Primary Data Types

• Well data: direct sampling from cores, indirect measurements from logs (facies and fluids), and modern image logs.
• Seismic data: provides information on large-scale reservoir geometry.
• Dynamic data: from well tests, historical production figures.

Well Data: Core Data

• Core plugs or entire core sections are used.
• This data provides detailed information about:
  • Sedimentology
  • Petrography
  • Depositional environments
  • Porosity
  • Permeability
  • Grain density
  • Fluid shows
  • Petrophysical core-to-log calibration

Well Data: Wellbore Path

• Wellbore path data is calculated from survey data.

• The data is stored in the database.

• The data illustrates the trajectory of the well in 3D space.

• Essential components:

  • Directional coordinates
  • True vertical depth (TVD)
  • Total depth (TD)
  • Kick-off point (KOP)
  • End of Build-up point (EOB) / Landing point

Well Logs and MWD/LWD Logs

• Continuous, high-resolution records of information.
• Facies types, stratigraphic surfaces, and measurements of petrophysical properties.
• Recorded data can be graphical logs including primary measurements such as well header data.
• Composite logs integrate geological columnar section with selected petrophysical values.

Computer-Processed Interpretation (CPI) Logs

• Geological zone lithology, porosity, and resistivity logs.
• Pre-processed for modelling.
• Can be plotted and displayed as curves. ('basic input data').
• Processed logs are stored as input data for reservoir modeling.

Well Log Data Processing and Interpretation

• Involves mathematical, statistical, and numerical techniques.
• Can be carried out manual or by using computer
• Data quality is important for the end results
• Petrophysical interpretations of porosity and water saturation are fundamental sources for reservoir properties data.

Test your knowledge on reservoir modeling, focusing on the importance of integrating static and dynamic data. Understand how this integration enhances model quality and decision making in reservoir management. This quiz also covers the geometric aspects of reservoir models.