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

Basic Static 3D Modelling Training is set for geoscientists and petroleum engineers responsible for conducting comprehensive reservoir studies and want to learn the concept of static geological model and how to build it.

Abdul Latif Setyadi

20-years international experience in oil and gas industry as specialist in Geomodeling/Development Geology. Able to utilize Geoscience’s applications from Schlumberger, Halliburton, Roxar to yield a strong analysis and interpretation of geosciences. It is including sedimentology and sequence stratigraphy, geological modelling and geostatistics (deterministic to stochastic modeling from structural, facies, property, up-scaling, volumetric and uncertainty through well planning), fracture modelling, reservoir characterization and risk analysis in both siliciclastic and carbonate reservoirs. Have a good understanding of petroleum engineering and petroleum economics, including field development plan, production and operational support. Also have a broad experience in lecturing and course guiding (development geology, geomodeling and geostatistics).