Generation of a
Volume of Reservoir Geological Properties from 3D Seismic and Well Data
Espeso,
Andres G.1, Ann Marie Mezones1, Asdrubal
Bernal1 (1) PDVSA Intevep,
Cores, well logs and seismic data detect
different scales of reservoir heterogeneity with different degrees of accuracy
and covering. 3D seismic contributes with information in big areas of the
field, but it has vertical low resolution, while the well data contribute with
precise information about reservoir properties with vertical high resolution in
a specific point of the field. Integration of these multi-resolution data
sources in reservoir models allows to achieve a better
definition of the reservoir internal configuration in its fullest extent.
This study is developed in a field of
heavy oil, with Miocene fluvial and deltaic reservoirs located in the western
Well data was analyzed interpreting the
geological characteristic of interest to extrapolate it to the inter-well space
through seismic data. Several seismic attribute cubes were analyzed to
establish the relationship between seismic data and well logs responses.
An estimation model based on artificial
neural network was created to assign geological characteristics to the whole seismic
volume, obtaining a reservoir geological properties distribution cube of
seismic resolution derived from seismic and well log data that represents in a
more realistic way the reservoir heterogeneity.
Reservoir geological properties
distribution cube allows to know in a detailed form
the reservoir, reducing the existent uncertainty on the distribution of their
properties in the inter-well space. This cube will be used during the
development of the field to optimize the well path planning in new horizontal
wells and to design better patterns for the well locations in future injection
programs.
AAPG Search and Discover Article #90063©2007 AAPG Annual Convention, Long Beach, California