| Why to 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 is 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 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 data analysis.  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 model scale.  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 be able to build a fracture model based on seismic and well data.  To know how integrate FMI fracture data to be distributed in 3D model.  To know IFM & DFN modelling.  To know how to generate an accurate 3D static model by integrating all the above.  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 details- but also the participants will work together using a real data to apply all the workflow and to reflect 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. 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 be greatly beneficial for:  Geo-Modelers- Petrophysicists- Seismic Interpreters- Development Geologists- Reservoir Engineers- Well site geologists- Technical Support Personnel- Team Leaders & Managers. Organizational Impact Organization will have a well-trained geo-modeler who can run static models using petrel software for field development and enhance hydrocarbon recovery. Personal Impact 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 __________________________ Detailed Course Agenda Data Conditioning and QC.  Collecting facies and petrophysical data to be read for modelling.  Cross plots to QC porosity data.  Comparing porosity and facies.  Permeability calculations from core and porosity data.  Facies log generation by different methods (Manually- neural network- FMI and petrel calculator).  Adjusting seismic cubes to be upscaled in the model.  Choosing suitable seismic inversion product to be used as weighting input for data distribution.  Fracture data gathering from Image log and QC.  Fracture orientation and density through the field.  Suitable seismic attribute for fracture prediction and DFN maps QC. Spatial Analysis and Modelling  Univariate statistics  Bivariate data description  Data transformations  Geostatistical analysis  Spatial analysis and modelling  Interpolation  Variograms Building the 3D structural Model  Generate the Fault framework.  Fault framework while interpreting.  Boundary definition and Horizon modeling.  Horizon filtering attribute.  Refine and create zone model.  Troubleshooting.  Structural gridding.  Corner Point Gridding.  Data preparation.  Modeling of main faults.  Pillar gridding.  Make horizons.  Truncations.  Data preparation- including well log edits and calculations as well as well log upscaling for discrete and continuous data 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. Building the 3D property Facies Model.  Deterministic and stochastic facies modelling (object and pixel modelling).  Developing a conceptual geological model.  Data analysis.  Facies probability function and its importance for facies distribution.  Facies variogram analysis and how it affects its distribution through model.  Sequential Indicator Simulation.  Object Facies Modelling.  Truncated Gaussian Simulation with and without trends and use for carbonate reservoirs.  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. Building the 3D property Petrophysical Model.  Deterministic and stochastic petrophysical modelling  Data analysis.  Sequential Gaussian Simulation.  Gaussian Random Function Simulation.  Kriging.  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. Building the 3D property Fracture Model.  Fracture theory  Numerical representation of Fractures.  Fracture analogues from out crops and nearby fields.  Fracture 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 modelling 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. 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  Multiple realizations  Developing risk maps  Ranking and upscaling – passing the model on. Hydrocarbon in place calculations  Monte Carlo Hydrocarbon Calculations based on structure contour maps.  3D static model hydrocarbon in place calculations.  Validation of final in place with Monto Carlo assumptions.  Reservoir dynamic model reserve estimation.  Decision tree for best drillable locations and number of wells |