To integrate geological, geophysical, petrophysical, and engineering data, using geostatistical tools and workflows, to characterize the reservoir and build a 3D static model, to be used in subsequent reservoir simulation studies.
This course provides a theoretical understanding of the different types of data used to build a static reservoir model including geological, geophysical, petrophysical, and engineering data. Moreover, proper reservoir rock typing is discussed from both static and dynamic views. Different geostatistical modeling methods are also discussed with highlighting their pros and cons. Uncertainty in volumetrics is included as well.
Upon completion of the course, participants will learn the following:
Know the different data involved in reservoir characterization (geological, geophysical, petrophysical, and engineering)
Know the proper way of reservoir rock typing (RRT)
Understand flow units of a reservoir and their importance
Understand the modeling of petrophysical properties (water saturation, porosity, and permeability)
Introduce trainees to statistics (univariate, bivariate, and geostatistics)
Identify different geostatistical approaches including deterministic and stochastic
Know different upscaling methods
Assess uncertainty in resources and reserves
The course will be delivered in the form of lectures using PowerPoint. Lecture materials will be given to trainees.
Method of Delivery & Teaching/Learning Approaches
This is an online course that includes hands on practice/calculations during the solving sessions. A pre-exam as well as a post-exam will be given to the trainees to evaluate how much they gained out of this short course. The exam will be in the form of multiple choices questions for about 30 mins.
Petroleum engineers, geoscientists, geophysicists, petrophysicists or other technical personnel with at least a BSc degree and some experience in reservoir characterization. The course benefits both new recruits as well as experienced professionals with interest in reservoir characterization and modeling aspects.
Day 1: Introduction to Reservoir Characterization (Exercise/Pre-Exam)
Day 2: Reservoir Rock Typing (Exercise)
Day 3: Statistics (Univariate, Bivariate, and Geostatistics) (Exercise)
Day 4: Deterministic vs. Stochastic Modeling (Exercise)
Day 5: Uncertainty in Volumetrics (Resources vs. Reserves) (Exercise/Post-Exam)