to facilitate the exploration for hydrocarbons:
‘Seismic Stratigraphy––Applications to Hydrocarbon
Exploration’ (Payton, 1977). The methods of seismic and
sequence stratigraphy are now increasingly popular,
and routinely employed as part of the exploration
strategies for other natural commodities as well,
including coal and mineral resources. What used to be
an exclusive asset of the petroleum industry, has been
proven to have value for all types of exploration, and
the mining industries too are now making use of the
benefits of the sequence stratigraphic process-based
(genetic) approach. As the resolution of sequence
stratigraphic modeling has increased in recent years,
in parallel with technological advances in the fields of
subsurface data acquisition and processing, sequence
stratigraphy has also become increasingly involved
in the process of production optimization, following
the stages of exploration. The application of sequence
stratigraphic work has therefore expanded significantly
to encompass all stages of economic basin analysis, from
exploration in frontier areas to production in ‘mature’
basins. The exploration facet of sequence stratigraphy
enables predictions of the distribution of coal, placers,
and petroleum source rocks, seals, and reservoir facies
within the basin. In the production stage, sequence
stratigraphy is used to decipher the high-resolution
internal architecture of ‘pay-zones,’ providing insights
into the fluid migration pathways within petroleum
reservoirs (e.g., Ainsworth, 2005; Pyrcz et al., 2005) or
into the geometry and stacking patterns of coal seams
(e.g., Banerjee et al., 1996; Bohacs and Suter, 1997) and
mineral placers (e.g., Catuneanu and Biddulph, 2001).
In addition to the traditional outcrop and subsurface
methods of stratigraphic analysis, numerical simulations
of facies development play an increasingly important
role in constructing and testing sequence stratigraphic
models in both siliciclastic (e.g., Ainsworth, 2005;
Pyrcz et al., 2005) and carbonate (e.g., Schlager, 2005)
successions. Quantitative modeling is now routinely
involved in sequence stratigraphic research, with appli-
cations ranging from simulations of regional-scale
stratigraphic architecture and basin development to
detailed ‘pay-zone’ studies. The skills required for a
complete sequence stratigraphic study have therefore
diversified tremendously in recent years, and a team
effort combining a wide range of specialties is the
preferred approach to this type of work.
‘Integration’ is an important keyword in sequence
stratigraphy, and as suggested throughout the book,
insights from outcrop, core, well-log and seismic data
should, ideally, be combined for comprehensive and
reliable studies. Each type of data contributes with
particular insights to the final interpretation (Fig. 2.71).
The lack of data is a limiting factor, and hampers the
resolution and reliability of the sequence stratigraphic
model. For example, information from scattered outcrops
should be integrated into a coherent model by using the
continuous subsurface imaging provided by seismic
data, wherever possible. On the other hand, the use of
seismic data without calibration with core or well logs
can lead to false interpretations (e.g., the interpretation
of depositional systems in Fig. 2.43 would have been
impossible without the mutual calibration with well-
log data). Similarly, the lack of calibration of well logs
with rock data (core or nearby outcrops), and their
correlation outside of the context provided by seismic
imaging, can also lead to erroneous interpretations (e.g.,
see the equivocal well-log signatures in Figs. 2.31–2.34
and 2.36). The integration of all these data sets is there-
fore the key to the most effective and reliable application
of the sequence stratigraphic method. A more detailed
discussion of the workflow of sequence stratigraphic
analysis is presented in Chapter 2.
The successful application of the sequence strati-
graphic method requires a three-dimensional modeling
of a sedimentary succession by integrating stratigraphic
observations in section view (e.g., stratal terminations
and stacking patterns) with geomorphological features
that can be observed in plan view (e.g., Figs. 2.48, 2.57,
and 2.67). Such modeling is made possible by 3D seismic
surveys, which afford the preliminary assessment of the
‘big-picture’ stratigraphic framework of the basin under
analysis (see Chapter 2 for further details on methodol-
ogy and practical workflow). Following the initial
‘big-picture’ analysis, smaller-scale areas of interest can
be defined and zoomed in on for more detailed studies.
The increased resolution of the modern methods of
subsurface data acquisition and processing affords not
only a control of the geometry of discrete depositional
elements, but also insights into process sedimentology
(e.g., Figs. 2.58 and 2.59). In fact, owing to its genetic
approach, sequence stratigraphy is inseparable from
process sedimentology (Fig. 1.2). For example, the appli-
cation of facies-related criteria required for the identifi-
cation of sequence stratigraphic surfaces (Fig. 4.9) is
impossible without a thorough understanding of the
processes involved in the formation of sedimentary
facies and of the conformable or unconformable contacts
that separate them. In addition, the application of the
sequence stratigraphic method also requires integration
of other disciplines including classical stratigraphy,
geophysics, geomorphology, isotope geochemistry and
basin analysis (Fig. 1.1).
The Importance of Shoreline Shifts
The shoreline, with its transgressive and regressive
shifts, represents the central element around which all
336 9. DISCUSSION AND CONCLUSIONS