Integrated Geological Models for Assessing Uncertainties in Production Data
By: Dominique Guérillot
Prof. Dr Dominique Guérillot (Texas A&M University, Qatar)
3 & 6 Dec 2021:
4:00PM-8:00PM CET
4 hours/day
Engineering – Reservoir Management
The EAGE Interactive Online Short Courses bring carefully selected courses of experienced instructors from industry and academia online to give participants the possibility to follow the latest education in geoscience and engineering remotely. The courses are designed to be easily digested over the course of two or three days. Participants will have the possibility to interact live with the instructor and ask questions.
To help you save on registration fees and better organize your learning path, we are offering Education Packages for all Interactive Online Short Courses and Online EETs. The packages are valid for a period of 12 months, choose between packages of 3, 5 and 10 credits.
The aim of the course is to recap main techniques required to build an integrated reservoir model and to explain different potential workflows for field development and/or history matching processes. This course will include explanations of upscaling techniques and the use of proxies for uncertainty assessment of production forecasts. All these methods will be illustrated and applied to the Brugge case.
Upon completion of the course, participants will be able to:
• Understand the fundamentals of Geostatistics and Spatial Modeling
• Calculate a variogram
• Know what are the principal of Kriging
• Know the main methods of Geostatistical Simulations for modeling heterogenous and fractured reservoirs
• Be familiar with the main Upscaling technics used in reservoir
simulators
• Know how to use proxy models for assessing Uncertainty in Production Forecasts
• Application to the Brugge field will be given to illustrate the methodology
Geostatistical Simulations
Limitations of Kriging
Geostatistical Simulation
What do we want from a simulation?
Principles of stochastic modeling
Pixel based model
Object based model
Sequential Gaussian Simulation (SGS)
Random Character
Properties of SGS
Scale
Cell Sizes & Ranges
Indicator Formalism
Sequential Indicator Simulation
The course is primarily addressed to reservoir geologists and reservoir engineers involved in building reservoir models but could also be of interest to production engineers who have to deal with the consequences of uncertainty in reservoir performance.
Darcy’s law, basic probability and statistics.
Former member of the Executive Committee of IFP and Program Director for the Upstream R&D of Saudi Aramco, he is focusing in Oil and Gas Exploration and Production including Unconventional, CO2 EOR and Carbon storage. After a PhD in Applied Mathematics, he joined IFP in 1982 in the Reservoir Engineering Dpt. He started his career in the Exploration and Production sector developing Expert system for selecting EOR methods and Advanced Compositional Reservoir Simulators for EOR (CO2 and thermal methods).