Program and Abstracts - Gulf Coast Section SEPM

Hewett Plattendolomite: Reservoir Characterization by Resolution-
Enhanced Seismic Data
Corrao, Antonio
Fervari, Massimo
Galbiati, Mauro
eni e&p division
Via Emilia, 1
San Donato Milanese (Milan), Italy 20097
email: antonio.corrao@eni.com
We present a work flow for poststack seismic
signal preconditioning that comprises noise attenuation
and resolution enhancement steps; multiple algorithms
have been adopted and their relative advantages and
limitations are discussed. Specifically, we evaluate the
benefit of two noise reduction approaches (LUM and
SVD filters) and two r esolution enhancement techniques
(adaptive whitening and implicit sparse
deconvolution). Such preconditioning work flows are
typically used to prepare seismic data prior to detailed
reservoir interpretation and characterization studies: as
an example the Hewett Plattendolomite case is
presented.
Given the complex reflectivity of the Zechstein
group (a cyclic sequence of limestones, dolostones, salt
Abstract
and anhydrites) and the limited thickness of the reservoir
(close to seismic resolution), seismic
characterization is notoriously problematic.
The adoption of a resolution-enhanced seismic
volume, supported by forward synthetic modeling and
well data, allowed for a semi-quantitative seismic interpretation
of the Plattendolomite reservoir and the
delineation of its geometry and internal structure that
had not been possible to recognize on the original seismic.
Bandwidth-enhanced data also permitted a
quantitative calibration of several seismic indicators
(amplitude dimming, apparent thickness variations,
and wave form), to produce porosity and net thickness
maps of the new reservoir.
Attributes: New Views on Seismic Imaging—Their Use in Exploration and Production 3