1. Facies Modeling
Algorithm Selection Criteria
and
Fit-for-Propose Workflows
Ángel Alberto Aponte
Email: angel.aponte@gmail.com
LinkedIn: http://cl.linkedin.com/pub/angel-alberto-aponte/20/289/123/en
Phone: 0056 9 57457803
Puerto Montt X Región de Los Lagos – Chile
March 2015
Generalities and examples of the RELEVANCE of Reservoir Characterization,
with particular emphasis on aspects related to Diagenetic Processes and
Capillary Pressure fundamentals, are presented. The documentation and use of
the understanding of the geological heterogeneities and the various processes
involved to the formation of the reservoir, are key inputs for understanding and
MODELING it more realistically, all focused on achieving the optimal use of
resources of the reservoir.
Criteria are presented for the selection of the algorithms with which carry out the
modeling of the reservoir facies architecture; it is stressed their relationship with
respect to: (1) the fluids present, the type of inputs and statistics; and (2) the
types of heterogeneity and the conceptualization of geological-sedimentological
model assumed for the reservoir. This knowledge is crucial because it allows,
on the one hand, get the best bang for the available information, to achieve
optimal performance and results of the chosen algorithm, and on the other
hand, in circumstances of lack of key information, it will provide guidance with
which MODIFY existing methodologies and/or design and implement
ALTERNATIVE workflows (Fit-for-Propose Workflows) for modeling the facies.
In various circumstances of lack of key information, examples of Fit-for-Propose
Workflows, that can be designed and implemented to generate approximate but
representative facies models, are presented. It is mandatory, however, even in
cases when all the inputs required are available, ALWAYS complement the
results of facies modeling (and petrophysical properties population, etc.) with an
comprehensive analysis and quantification of uncertainty, in order to assess its

2. impact on the performance of the obtained stochastic reservoir model (impact
on volumetric and dynamic behavior).
REFERENCES
Slatt R. M.: "Stratigraphic Reservoir Characterization for Petroleum
Geologists, Geophysics and Engineers". First Edition 2006. Elsevier
Radarweg 29, PO Box 211, 1000 AE Amsterdam, The Netherlands. ISBN-13
978-0-444-52818-6.
Pyrcz M. J. and Deutsch C. V.: "Geostatistical Reservoir Modeling". Second
Edition 2014. Oxford University Press. ISBN 978-0-19-973144-2.
Miall A. D.: "The Geology of Fluvial Deposits". 4th Corrected Printing 2010.
Springer-Verlag, N.Y. ISBN: 978-3-642-08211-5.
Project MAPAZU sponsored by FINET/CTPETRO Program: "Fluvial Outcrops
Parametrization Applied To Object Based Geological Modelling For
Reservoir Of The Potiguar Basin – Brazil".