ACE Training Classes

• Training Classes may be provided in Houston, Beijing, or on site.
• Each class is 2 to 5 days
• A demo version of GridSTAT software may be provided for each student
• We recommend to have PC for students to practise
• We recommend for students to bring their own data for practice

Class 1 - Applied 3D Geological Modeling

• Data loading and quality control
• Spatial analysis
• Building structure framework and 3D models
• Estimation of uncertainty and model reliability
• Producing graphs and reservoir simulation grids

Class 2 - Applied 3D Geostatistics

• Basic data quality control
• Vertical continuity
• Horizontal continuity based on two or more wells
• Directional variation of spatial continuity
• Smoothness of data and the significance of the shape of variogram
• Rule of thumb and application of analog data
• Variogram as data quality check
• Variogram map to show how continuity changes with location
• Building structure framework
• Lithology and facies
• Building 3D models
• Trends and softdata
• Estimation of uncertainty
• Heterogeneity and input for reservoir simulation

Class 3 - Data Quality Control and Normalization

• Coordinates, KB, names, and depth
• Data range, tail points, outliers, and consistency within a data type
• Linear scale, logarithmic scale, indicator data, and truncated data
• Duplicate data, missing data, and consistency among data types
• Deviation survey inconsistency and dogleg severity
• Marker consistency, zone thickness, and apparent dip
• Mistie between markers and horizons
• Time depth conversion consistency
• Data variation from zone to zone or changes with depth
• Areal trend in data
• Vshale log from GR or SP
• Resistivity logs in steam-flooded reservoir
• Porosity logs and effective porosity
• Permeability
• Seismic velocity
• Combining multiple log types to match a desired data type
• Using multiple log types to define pay or lithology indicator

Class 4 - Seismic Inversion for Sand or Porosity

• Structure model with seismic interpretation
• Discussion of seismic processing issues
• Time to depth conversion and correlation
• Inversion to impedance, sand, and porosity
• Seismic data calibration and used as soft data

Class 5 - Production Data, Well Planning, and Production Prediction

• Oil rate, gas rate, and water rate
• Gas oil ratio, water gas ratio, and water cut
• Animating production with time
• Comparing production map to geological maps
• Calibrating geological model to production data
• Predicting production with geological model
• Planning well locations and perforations