1. Abdulaziz Al-Qasim
Optimizing Well Locations
in Green Fields using Fast
Marching Method
Optimize well locations for millions of cells using
hundreds of scenarios and realizations with high
accuracy in seconds
When there is a large amount of data available with a study objective that
requires running several scenarios incorporating millions of grid cells. This
will limit the applicability of reservoir simulation, as it will be
computationally very inefficient. For example, determining the optimum
well locations in a field that will result in the most efficient production rate
scenario requires a large number of simulation runs which can make it very
inefficient. The main purpose of this research is to use a novel
methodology known as the Fast Marching Method to find the optimum
well locations in a green oil field that will result in the most efficient
production rate scenario. The concept of radius of investigation is
fundamental to well test analysis. The current well test analysis relies on
analytical solutions based on homogeneous or layered reservoirs. The Fast
Marching Method will enable us to calculate the radius of investigation or
pressure front as a function of time without running any simulation and
with a high degree of accuracy. The calculations can be done in a matter
of seconds for multi-millions of cells.
Dr. AlQasim earned his BS in 2007 from King Fahd
University of Petroleum & Minerals (KFUPM), his MS in
2011 from the University of Texas at Austin (UT) and
his PhD in 2016 from the University of Tulsa (TU). He's
been working with Saudi Aramco as a Senior
Petroleum Engineer since 2007. He's married & has 3
daughters and 2 sons. His DOB is 7/21/1984.
978-3-659-88578-5
OptimizingWellLocationsinGreenFieldAl-Qasim