Geological modeling provides an integrated three-dimensional representation of the subsurface and supports exploration evaluation, reservoir characterization, volumetric estimation, field development planning, and reservoir simulation. The quality of a geological model depends on the correct integration of structural, stratigraphic, sedimentological, petrophysical, seismic, core, and well data.
This course provides a systematic foundation in static geological modeling, guiding participants through the complete workflow from structural framework construction and data preparation to facies modeling, petrophysical property modeling, upscaling, volumetric evaluation, uncertainty analysis, and model quality control.
Participants will examine the role of faults, horizons, grids, depositional concepts, geostatistical parameters, trends, rock typing, porosity-permeability relationships, and seismic attributes in controlling the distribution of reservoir properties. The course introduces commonly used deterministic and stochastic modeling methods, including kriging, sequential Gaussian simulation, sequential indicator simulation, object-based modeling, and multiple-point approaches.
Practical exercises and case studies help participants understand how modeling assumptions influence connectivity, property distribution, hydrocarbon volumes, and uncertainty ranges. The program also provides a structured methodology for reviewing static models prepared by operators or third parties and assessing their geological consistency, data integration, volumetric reliability, and readiness for dynamic simulation.
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