Error Estimation in Decompacted Subsidence Curves
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Error Estimation in Decompacted Subsidence Curves
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Error Estimation in Decompacted Subsidence Curves1
D. Waltham,2 C. Taberner,3 and C. Docherty4
ABSTRACT
Subsidence curves, based on decompacted sediment
thicknesses, are generally displayed without
indicating depth or age errors. This makes their
interpretation ambiguous, leading to incorrect
identification of subsidence pulses and incorrect
identification of periods of steady subsidence.
Error analysis should also form part of thermal
maturation studies based on such subsidence
curves. Formal error analysis of subsidence curves
is a complex problem because of the iterative and
nonlinear nature of the decompaction calculations.
This paper presents an alternative
approach, based on Monte Carlo simulation, that
allows subsidence curves to be calculated along
with error estimates. We also show that identification
of subsidence pulses and identification of
periods of steady subsidence cannot be made on
the basis of such subsidence curves, even when
errors are shown, because errors on successive
points on the subsidence curves are correlated.
Instead, an ensemble of subsidence rate curves
must be calculated at the same time as the ensemble
of subsidence curves so that a mean subsidence
rate curve can be calculated along with
associated error estimates.
INTRODUCTION
Subsidence curves, based on decompacted sediment
thicknesses (Sclater and Christie, 1980), are
important aids to understanding the evolution of
sedimentary basins; however, such curves cannot
be meaningfully interpreted without error estimates.
Consider Figure 1, which shows a subsidence
curve based on decompacted sediment
thicknesses in the San Sebastia section of the easternmost
south Pyrenean foreland combined with
bathymetry estimates derived from facies analysis
(Taberner et al., 1999). With the curve as plotted, it
is impossible to say whether the apparent increase
in subsidence rate near point A on Figure 1 or the
apparent uplift near point B are genuine or simply
the result of inaccurately determined depths, poorly
constrained ages, and unrecognized natural variations
in decompaction parameters. Note that burial
depths are inputs into thermal maturation studies
(Lopatin, 1971; Waples, 1980), and so error estimates
for these depths should form an important
part of risk assessment when investigating the
prospectivity of a proposed new hydrocarbon play.
In this paper, we show how to analyze the data
from Figure 1 in such a way that meaningful statements
can be made concerning whether subsidence
rates change through time. As such, it is a
methods paper that happens to use the Taberner et
al. (1999) data. For a fuller discussion of the geological
setting and an interpretation of the data, interested
readers should consult the original reference.
Note that these data are taken from a field-derived
cross section, but that the methods we discuss in
this paper are equally applicable to data taken from
wells or seismic sections.
Gallagher (1989) discussed subsidence curve
errors associated with uncertainties in compaction
parameters and, for the full backstripping problem,
uncertainties in sediment densities. He found,
AAPG Bulletin, V. 84, No. 8 (August 2000), P. 1087–1094. 1087
©Copyright 2000. The American Association of Petroleum Geologists. All
rights reserved.
1Manuscript received October 9, 1998; revised manuscript received
September 27, 1999; final acceptance January 15, 2000.
2Department of Geology, Royal Holloway University of London, Egham,
Surrey TW20 0EX, United Kingdom; e-mail: d.waltham@gl.rhbnc.ac.uk
3Institut de Cièncias de la Terra, CSIC, C/ Lluís solé I Sugrañes s/n,
Barcelona 08028, Spain.
4Institut de Cièncias de la Terra, CSIC, C/ Lluís solé I Sugrañes s/n,
Barcelona 08028, Spain. Present address: GX Technology, Lawrence House,
45 High Street, Egham, Surrey TW20 9DP, United Kingdom.
This work was funded by the EU Joule-Thermie project (project
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