  Muography is an imaging technique that can be used to examine the interior
structure of large-size objects. The technique is based on measurements of the
absorption of cosmic-ray muons passing through the object under study.
Muographic imaging was already successfully applied to the discovery of a new
void inside the Great Pyramid of Khufu at Giza, Egypt. With the aim of studying
the Pyramid of Khafre, the second largest pyramid at Giza, a new muography
detector is currently being constructed. In this paper we report on the
development of a corresponding new simulation framework of the Great Pyramids
and the detector setup. This simulation will serve as a basis to develop the
data and image reconstruction algorithms to be used during our future muography
campaign in the Pyramid of Khafre, and will allow us to study the relevant
experimental conditions at the site.
