geostatistical reservoir modeling: standard approaches & best practices

Course Description

The course reviews the full spectrum of an integrated reservoir study from outcrop to fluid flow simulator. It addresses the practical requirements and workflows for modern 3D reservoir characterization. Participants learn how to use deterministic and stochastic modeling methodologies to quantitatively integrate diverse data types, model reservoir heterogeneity, assess model uncertainty, and prepare the reservoir model as input to a flow simulator. Particular emphasis is placed on the best modeling practices and data integration methodologies available within current modeling softwares. The presentation includes an informal, interactive discussion of the agenda topics, illustrated with case studies and may include computer workshops using PETREL (or equivalent) software package, if such software is available. At a minimum, the instructor will provide demonstrations using PETREL (or equivalent software).

Audience

Professional geologists, petrophysicists, geophysicists, engineers, managers & professional technicians

Course Schedule

1	Introduction to geostatistical reservoir modeling Data quality control and data analysis Concepts of spatial analysis and modeling Computer workshop
2	Kriging and collocated cokriging Computer workshop
3	Stochastic simulation and risk analysis Preserving reservoir heterogeneity Computer workshop
4	Structural model (Sequence stratigraphy, seismic faults and horizons) 3D Property Models (Rock type, porosity, permeability and water saturation) 3D petrophysical model
5	Upscaling for the flow simulator Exercises Wrap up and Class evaluation

Instructors

Dr. Asnul Bahar, Dr. Harun Ates

Instructors may vary based on location and schedule.

Classes

No classes are currently scheduled for this course.

Add yourself to the waiting list

We will schedule a class for this course, when there are enough participants on the waiting list.