378
1. Gustavs
been extended with more measurements. Endler's, as well as the new measurements, are mainly taken from the uppermost half meter of sediment. In the statistical analysis, we avoided mixing of the two data sets, because of relevant procedural differences (for instance, pipette method versus laser particle size analyzer).
A third set of mud data was taken from geochemical archive data of the lOW.
These data describe sedimentological parameters of topsoil samples of the
southern Arkona Basin. Because they were measured using the same methodology as Endler (1990), one can use these data as proxy parameters for the application of the porosity model derived from Endler's data.
The measured physical properties of interest in our study are water content
and bulk density which were used to estimate porosity. The sedimentological
variables of interest are the content of organic carbon, and the grain size distribution. A short characterization of the these two data sets is given in Table 1.
Sampling locations are shown in Fig. 2.
5
Development of a Mud-Specific Model
The objective of developing a mud-specific model is twofold. First, the model
should result in a better understanding of porosity distribution and porosity
changes by separating and quantifying several diagenetic and facial influences.
Secondly, the model should facilitate the reconstruction and prediction of porosity values from proxy parameters.
The ideal model should meet three basic demands:
• be as accurate as possible,
• retain as many parameters as necessary,
• use commonly available parameters only.
As already mentioned, there is a problem of inconsistency among the different measurement methods of the "old" data (Endler, archive) and "new" data.
This inconsistency is particularly important in grain-size analysis that strongly
depends on the estimation method. The statistical analysis would lose much of
its accuracy by mixing data sets. For successive model improvement, we employed Endler's data because later we will apply the model using his data base to
the geochemical data base.
5.1
Application of the Empirical Model
This step of the modeling was aimed to deliver information about the accuracy
of the classical way of compaction modeling for near-surface muds. Does the accuracy of the model justify the use of such a function in mass balances?
The simplest model is
m. m. -Bz
"" = ""oe ,
(1)
1. Gustavs
been extended with more measurements. Endler's, as well as the new measurements, are mainly taken from the uppermost half meter of sediment. In the statistical analysis, we avoided mixing of the two data sets, because of relevant procedural differences (for instance, pipette method versus laser particle size analyzer).
A third set of mud data was taken from geochemical archive data of the lOW.
These data describe sedimentological parameters of topsoil samples of the
southern Arkona Basin. Because they were measured using the same methodology as Endler (1990), one can use these data as proxy parameters for the application of the porosity model derived from Endler's data.
The measured physical properties of interest in our study are water content
and bulk density which were used to estimate porosity. The sedimentological
variables of interest are the content of organic carbon, and the grain size distribution. A short characterization of the these two data sets is given in Table 1.
Sampling locations are shown in Fig. 2.
5
Development of a Mud-Specific Model
The objective of developing a mud-specific model is twofold. First, the model
should result in a better understanding of porosity distribution and porosity
changes by separating and quantifying several diagenetic and facial influences.
Secondly, the model should facilitate the reconstruction and prediction of porosity values from proxy parameters.
The ideal model should meet three basic demands:
• be as accurate as possible,
• retain as many parameters as necessary,
• use commonly available parameters only.
As already mentioned, there is a problem of inconsistency among the different measurement methods of the "old" data (Endler, archive) and "new" data.
This inconsistency is particularly important in grain-size analysis that strongly
depends on the estimation method. The statistical analysis would lose much of
its accuracy by mixing data sets. For successive model improvement, we employed Endler's data because later we will apply the model using his data base to
the geochemical data base.
5.1
Application of the Empirical Model
This step of the modeling was aimed to deliver information about the accuracy
of the classical way of compaction modeling for near-surface muds. Does the accuracy of the model justify the use of such a function in mass balances?
The simplest model is
m. m. -Bz
"" = ""oe ,
(1)