Day 1
Overview and Introduction for Geomodelling and Geostatistic
- Introduction to static geomodelling (geological, geophysical, petrophysical and RE data integration)
- Basic statistics, data analysis and data transformation
- Characterization of spatial correlation, stationarity assumption and normality and implementation of geostatistics in reservoir modelling
- Anisotropy and directional analysis
- Estimation methods in unsample location I (simple kriging, ordinary kriging, universal kriging, etc.)
- Estimation methods in unsample location II (ordinary co kriging, collocated co kriging)
- Stochastic/numerical simulation concept and techniques (TGS, SIS, Object-based, SGS, Multi-point statistics, etc.)
Day 2
Overview of Data Loading, QC, Fault Modeling, Structural Modeling and 3D Grid Building
- Fault network and (complex structure, reverse fault, numerous fault; fault truncation, etc.)
- Concept of interpreted and calculated horizons; horizon modeling, data filtering, horizon truncation
- Zonation and layering (isochore correction)
- 3D grid (pillar, non pillar, zone, subgrid, staircase, etc.)
- Data loading (well, fault sticks, map/grid and attribute) and QC
- Building fault network
- Data filtering
- Zonation and layering with proper correlation
- 3D grid building and grid optimization
Geological Conceptual Model, Stochastic Property Modeling, Data Analysis and Transformation
- Sequence stratigraphic concept; lithostratigraphy vs. sequence stratigraphy; seismic stratigraphy and surface relationship; identification of MFS, MRS and TS (FS) based on log and core.
- Sequence stratigraphic correlation technique from log in clastic reservoirs; marginal marine example and exercise
- Sequence stratigraphic surfaces as a basis for zonation in 3D building, selecting representative sequence surfaces for geomodeling
- A brief conceptual geology of clastic environment of delta and estuarine : facies morphology and architecture, sedimentology and log response, lithofacies identification and vertical facies association
- Bringing core interpretation into facies interpretation (core interpretation, log – core calibration and log signature, lithofacies association, facies interpretation in un-cored wells, depositional environment interpretation)
Day 3
Variogram Setting and Modeling
- Spatial Covariance, Correlation and Semivariance
- Variogram calculation and setting (experimental variogram)
- Concept of heterogeneity, covariance, variogram calculation and modeling
- Variogram setting and modelling
- Modeling and fitting; various variogram model
- Variogram model in relation with geological setting
- Example of effect in variogram model to geological result
- Anisotropic concept and directional analysis
- Role of seismic for variogram calculation
Facies and Petrophysical Modeling
- Discrete modelling method; (object based and pixel based)
- Statistical inference or description of depositional and diagenetic processes
- Seismic integration in facies modelling
- Variety of facies modelling techniques/algorithms in different depositional environment (channel, composite / turbidite, prograding delta, etc.)
- Log upscaling and preserving heterogeneity
- Workflow in property modeling:
- Log upscaling
- Data analysis and transformation (normal scoring)
- Variogram setting
- Variogram modelling
- Building property model, select best algorithm
- Seismically guided petrophysical modelling; integrating seismic data (map or cube) into property model; selecting as trend or collocated cokriging based on property-seismic relationship
- NTG dilemma; Misleading of 2D concept of NTG forced to be applied into 3D model
- Permeability modelling from porosity relationaship
- Water saturation modelling; concept of capillary pressure and saturation; modeling saturation with Laverett J-Function
- Brief review of volume calculation and its category, uncertainty analysis
- Model validation: visual validation of static model with conceptual geology and seismic attributes; statistical validation of static model with histogram and variogram
