Lateral lithologic distribution of Triassic formations in the Algerian Oued Mya basin using combined petro-elastic and seismic inversion attributes
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Istituto Nazionale di Oceanografia e di Geofisica Sperimentale
Abstract
This paper presents a combined litho-discrimination approach based on petro-elastic
attributes and simultaneous seismic inversion. The analysis adopted attempts to
characterise the Triassic fluvial reservoirs, in the Oued Mya basin, Algeria, in terms of
lateral distributions of sandstone, shale, and silt. The Triassic sandstones suffer from the
presence of silt, which significantly increases the compaction degree of the reservoir
parts and decreases the quality of petrophysical properties. The litho-discrimination
analysis improves seismic inversion accuracy, providing a more detailed understanding
of subsurface rock properties. It separates the effects of different rock types, such as
sandstone and shale, leading to better interpretations while reducing noise. It avoids
misinterpreting noise as geological signals and, thus, yields more reliable inversion
results. It enables better differentiation of complex lithologies, which is particularly
crucial in regions with subtle variations in rock properties. For the purpose of an efficient
litho-discrimination, a variety of petro-elastic attributes have been carefully examined to
find the best attributes that can respond to lithology change. S- and P-impedances are
found to be adequate litho-discrimination models with the best prediction capabilities.
They have a high correlation coefficient and slightly linear lithology regressions for
sand, silt, and shale, showing a good agreement with gamma ray well log responses and
analysis results of core data. The litho-discrimination analysis can assist us in the prospect
generation and risk assessment of the optimum locations for drilling wells in the region.
Seismic pre-stack inversion is used to predict variations away from the well location.
The applied workflow enables better discrimination of silt, sandstone, and shale within
the T2 reservoir, where the presence of silt is mostly associated with compaction. The
seismic analysis revealed a random non-uniform laterally distributed silt over the upper
part of the T2 reservoir, which is consistent with the geological and sedimentological
descriptions that support the existence and absence of compact intervals from well to
well in the studied region. The later compaction (silty levels) is the main possible cause of
the petrophysical parameter alteration, resulting in differences in the production results
(oil, water, etc.) of the drilled wells in the area of interest.
Description
Keywords
Seismic, Well logs, Trias, T2 reservoir, Petro-elastic, Lithology prediction, Pre-stack simultaneous inversion
