Abstract: New Technologies in Imaging and Reservoir-Characterization of Deep-Water Channel and Related Depositional Systems Exploration
Keskes, N.; Morice, M.; Jean Jean, F. - Elf Exploration Production;France; Kolla, V. - Elf Exploration Angola
From auto-tracking of a picked horizon
or a "seed" reflection in large 3D volumes of seismic data, and from displays
of amplitude several types of coherency
, dip and curvature attributes of
horizon slices, intervals and proportionally divided sub-intervals, the
deep water channel forms are imaged and mapped. These displays reveal diverse
deep-water channel systems with varying sinuosities, cutoff meanders, channel
migration, avulsion and branching, crevasse-splays and overbanks, and several
types of lobeforms. To better understand the internal organization an architecture
of the depositional systems,
attribute
displays are utilized after "peeling"
along each reflection or along an internal unconformity surface, and after
spectral decomposition of seismic frequencies. The sinuosities, curvature,
etc., of meandri channel forms are then measured and the precise morphologies
determined. This enables a comparison with the recent deep-sea fan channels.
The seismic facies of the deposits constituting the channels and lobeforms
and their internal architecture are both qualitatively and quantitatively
evaluated utilizing amplitude (maximum, minimum and average amplitude),
réflexion-continuity and chaotism etc. displays. In automatic facies
recognition, we use a classification tool based on neural network techniques.
This detailed facies information is calibrated to well data, when available,
and the reservoir heterogeneities are mapped. We present several examples
illustrating the above methodologies in detection, imaging, and reservoir
characterization of deep-water channel and related depositional systems.
AAPG Search and Discovery Article #90933©1998 ABGP/AAPG International Conference and Exhibition, Rio de Janeiro, Brazil