Integration practical Static modeling for carbonate reservoir
Geological Modeling Workshop for Integrated
Why Choose This Training Course?
The main objective of this course is to provide a comprehensive understanding of static
reservoir modelling and reliable reservoir models, which used to predict oil production,
investigate various production scenarios and eventually help decision makers to
optimize field development. The more data-consistent the model, the sounder the
predictions. Thus, the key point is the integration of all available data into reservoir
models for field development strategies starting from Seismic data to well log data and
how to maximize recoverable hydrocarbon.
What are the Goals?
By the end of this training course, participants will learn to:
To understand geostatistical methods.
To apply geostatistical models to evaluate the data.
To understand the concepts of Kriging and cokriging and how these are used in
To develop a conceptual geological model ahead of a static model building.
To develop a sound structural model using regional data applied down to the
To develop and test a stratigraphic model.
To be able to develop a facies model and how to test this against analogues.
To be able to determine a petrophysical and property models.
To know how to generate an accurate 3D static model by integrating all the
How to integrate with reservoir engineer to match simulation data.
How will this Training Course be presented?
The course will not only be presented by showing and interpreting the material in detail,
but also the participants will work together using a real data to apply all the workflow
and to project their previous knowledge and experience onto the course, they also
encouraged to bring their own data so that real working examples can be reviewed and
Who is this Training Course for?
This course is designed for all Oil Industry Technical Professionals, which will cover
from fundamental theoretical background to high-level real work information,
techniques and workshop.
This training course is suitable to a wide range of professionals but will greatly benefit:
Geo-Modelers, Petrophysicists, Seismic Interpreters, Development Geologists,
Reservoir Engineers, Well site geologists, Technical Support Personnel, Team
Leaders & Managers.
Organization will have a well-trained geo-modeler who can run static models using
petrel software for field development and enhance hydrocarbon recovery.
Upon completion of the course, participants will be able to understand complete work
flow for reservoir property modelling and fracture modelling workflow in the base of
conceptual geological model and integrate all available data set.
Module 1: Data Conditioning and QC.
Collecting facies and petrophysical data to be read for modelling.
Comparing porosity and facies.
o Geophysical Uncertainty.
o Geological Uncertainty.
o Structural Uncertainty.
o Petrophysical Uncertainty.
o Fracture Uncertainty
o Contact Uncertainty.
Adjusting seismic cubes to be upscaled in the model.
Choosing suitable seismic inversion product to be used as
weighting input for data distribution.
Module 2: Spatial Analysis and Modelling
General Log Measurement Terminology
Electric log correlation procedures and guide line.
Electrical log correlation in vertical wells
Log correlation plan
Basic concepts in electric log correlation
Faults Vs variation in stratigraphy
Electrical log correlation in – directional drilled wells
Log correlation plan correlation of vertical and directional drilled
MD, TVDss, TVD, TVT and TST terminologies.
Module 3: Structure Modeling.
Pre-Processing of input data.
Structure Frame work.
3D Structural Grid Construction.
Boundary definition and Horizon modeling.
Horizon filtering attribute.
Refine and create zone model.
Module 4: Horizon Modelling
Corner Point Gridding.
Modeling of main faults.
Data preparation, including well log edits and calculations as well
as well log upscaling for discrete and continuous data.
Module 5: Scaling up Well logs
Scaling up facies logs.
Averaging methods and its impact to up scaled facies logs.
Scaling up petro physical logs
Averaging methods and its impact to up scaled petro physical logs.
Module 6: Building the 3D property Facies Model.
Property Modeling Work Flow.
Create Facies Template.
Net to Gross.
Neural Net Work.
Module 7: Building the 3D property Facies Model.
Deterministic and stochastic facies modelling (object and pixel
Developing a conceptual geological model.
Facies probability function and its importance for facies distribution.
Facies variogram analysis and how it affects its distribution through
Sequential Indicator Simulation.
Object Facies Modeling.
Truncated Gaussian Simulation with and without trends and use for
Using secondary data to populate facies models.
Developing a stratigraphic model
The use of analogues in model builds
How to build an accurate facies model and how to provide
geological controls on this.
Module 8: Building the 3D property Petrophysical Model.
Deterministic and stochastic petrophysical modelling
Sequential Gaussian Simulation.
Gaussian Random Function Simulation.
Using secondary data to populate petrophysical models.
Porosity and water saturation distribution through the model.
How to weight water saturation distribution in the model.
Permeability distribution in the model.
Module 9: Uncertainty Analysis, Ranking and Upscaling
Building the final 3D model
Uncertainty analysis and risk
The space of uncertainty and pragmatic decisions
First, second and third order changes to the model
Developing risk maps
Ranking and upscaling – passing the model on.
Module 10: Building the 3D property Fracture Model.
Numerical representation of Fractures.
Fracture analogues from out crops and nearby fields.
Frcture geometry with different rock types.
Fractures and tectonic impact for orientation and density.
Sweet spots for fractured reservoir exploration.
Seismic attributes for fracture modelling.
Import, QC and Display of Fracture data from Wells.
Create tadpoles and rose diagrams.
Stereonets; dip/azimuth/filters/fracture sets.
Fracture data Analysis.
Creating Fracture Sets from Point Well data.
Rotating Dip & Azimuth points relative to a Surface or 3D grid.
Generation of fracture intensity logs.
Generating Cumulative Fracture Logs.
Fracture density maps.
Stress-based Fracture driver.
Essential elements in the Geomechanical model.
Mechanical Fracture Types used in NFP.
Upscaling of well logs and 3D modeling of intensity.
Building DFN Fracture models.
Building DFN based on Advanced Frac. Drivers.
Fracture Distribution, Geometry & Orientation.
Fracture Aperture & Permeabilities.
Output from Create Fracture Network.
Fracture attribute generation.
Scale up Fracture Network Properties.
Using legacy Discrete Fracture Network Models.
(Dual Porosity / Permeability Simulation).
Final fracture model and uncertainty.
Module 11: Hydrocarbon in place calculations
Monte Carlo Hydrocarbon Calculations based on structure contour
3D static model hydrocarbon in place calculations.
Validation of final in place with Monto Carlo assumptions.
: The course will not only be presented by showing and interpreting the material in detail,
but also the participants will work together using a real data to apply all the workflow and to
project their previous knowledge and experience onto the course, they also encouraged to bring
their own data so that real working examples can be reviewed and interpreted.