Figure 4.59. Frequency Domain Tab

This group is split into the sub-groups "Curve Fitting" and "Power Spectrum Algorithm".

Sub-group: Curve Fitting

This sub-group provides you with control over the curve fitting mechanism. By default, curve fitting is only performed between the "Low Cut" and the "High Cut" frequencies (the primary controls) which are defined in the "Fit Well Log Curves" group on the "Design Controls" dialog. This curve fit is referred to as the "Principle" curve. Below the "Low Cut" and above the "High Cut" we force the curve fit to horizontal, with the value of the "Principle" at the "Low Cut" and "High Cut" points.

Whilst using these advance controls it is advisable to QC the resulting curve fit by always having the spectrum you are trying to fit and the composite curve fit visible on one of the SsbQt Main Window charts (by default the "Global" chart). Immediately you make a change to one or more of the "Frequency Domain" parameters you will see the change on your Main Window chart. Note, it might not be possible to QC against a spectrum if no well data is available. Under such circumstances you would need to supply the curve fit parameters manually or read them from file.

Within the "Curve Fitting" group there is a matrix of "Beta" "DC" and "F-Shift" for "Below principal", "principal" and "Above principal" curves. For each curve there is a combo control to the right which specifies the mode of curve fit. We will now consider each of these three curves and describe their mode of use.

Below principal: The default mode is "Force Horizontal". In this mode, the "Beta", "DC" and "F-Shift" are insensitive and cannot be used. The "DC" value displayed is the value of the "Principal" curve fit at the "Low Cut" point. The "Fit Independently" mode uses the same curve fit algorithm between 0 Hz and "Low Cut" as that used for the "Principal" curve fit. The displayed "Beta", "DC" and "F-Shift" are parameters from the independent fit. This mode frequently gives strange results and its usage is not normally recommended. The "Extrapolate Principall" mode allows the "Principal" curve to be extrapolated, below the "Low Cut", back to 0 Hz. The "Set" mode allows you to manually set the sensitive "Beta", "DC" and "F-Shift" of the "Below principal" curve. However, the "Set" mode is not normally recommended.

Principal: The "Principal" curve is by far the most important curve hence its name. The default mode is "Curve Fit". Curve fitting is performed between the "Low Cut" and the "High Cut" frequencies defined in the "Fit Well Log Curves" group on the "Design Controls" dialog. The "Beta" is the key curve fit parameter and is also displayed on the "Design Controls" dialog. The "Set" mode allows you to manually set the sensitive "Beta", "DC" and "F-Shift" of the "Principal" curve.

Above principal: The default mode is "Force Horizontal". In this mode the "Beta", "DC" and "F-Shift" are insensitive and cannot be used. The "DC" value displayed is the value of the "Principal" curve fit at the "High Cut" point. The "Fit Independently" mode uses the same curve fit algorithm between "High Cut" and nyquist as that used for the "Principal" curve fit. The displayed "Beta", "DC" and "F-Shift" are parameters from the independent fit. This mode frequently gives strange results and its usage is not normally recommended. The "Extrapolate Principal" mode allows the "Principal" curve to be extrapolated beyond the "High Cut" up to nyquist. The "Set" mode allows you to manually set the sensitive "Beta", "DC" and "F-Shift" of the "Above principal" curve. However, the "Set" mode is not normally recommend.

There are two other "Advanced Controls" on the "Frequency Domain" tab "Type of Fit" and "Set From File...". The following described these controls:

Type of Fit: This radio button control allows you to select the type of fit algorithm. Possible values are "Least Squares" or "Robust". By default, the type of fit is "Least Squares".

Set From File...: This push button will pop up a file selector dialog allowing you to read a previously saved session file to load the "Beta", "DC", "F-Shift", curve fit "Low Cut" and curve fit "High Cut". If there is a session file associated with this SsbQt run either via "File->Open..." or "File->Save As..." then that session file will be the default. You can also use this mechanism to load the above parameters from Spectral Blueing V2.3.x saved files. However, it should be noted that it is not possible to load from SsbQt V2.90 session files as these parameters were not saved in that version. This option is useful when no well data is available or you wish to use the same curve fit parameters from a previously saved session.

The field Goodness of Fit displays the correlation coefficient value calculated between the Average Well Logs Spectrum and the Principal Curve Fit between Low and High cuts. Pearson's correlation formula is used to calculate the correlation coefficient.

Sub-group: Power Spectrum Algorithm

This sub-group provides the user control over the power spectrum algorithm. By default, all the spectrum calculations are performed by the FFT (Fast-Fourier Transform) algorithm. The other possible option is the Multitaper algorithm, which was developed by Thomson (1982).

The Multitaper algorithm starts by multiplying the time series data sequence by a set of K orthogonal sequences, also known as tapers, to form a K number of tapered time series, from which are generated K frequency spectrum estimates by using the FFT algorithm, that are finally combined as an estimate of the Power Spectral Density (PSD) function. The orthogonal sequences used to "taper" the time series data sequence are generated by using the Discrete Prolate Spheroidal Wave Functions (DPSWF) algorithm.

There are 2 parameters in this sub-sgroup:

Weighting Method: To estimate the PSD, a set of weights are required and this combo box provides the user the choice of selecting the weighting/combining method. By default, the Native weighting method is used, which averages the spectrum estimates according to their respective eigenvalue, whereas the Adaptive weighting method generates a smooth estimate by reducing the bias from the spectral leakage. The adaptive weighting is an iterative method, which keeps computing the weights until the change in spectrum estimate is less than a pre-defined tolerance.

Number of Tapers: This spinbox allows the user to control the number of tapers when performing the PSD using Multitaper algorithm. By default, the number of tapers allowed is 2 and the maximum number of tapers that can be used to compute the PSD has been set to 50.

Figure 4.60. Time Domain Tab

This group is split into the sub-groups "Data Conditioning" and "Log Data Resampling".

Sub-group: Data Conditioning

For the spectral blueing result to have amplitudes which have physical meaning, then it will be necessary to normalise the Reflectivity log spectral amplitude. This is achieved by compensating for the effects of the relative differences between the seismic and Reflectivity log gate lengths together with the relative differences between the seismic and Reflectivity log sample intervals.

Normalisation

Normalise: This checkbox item allows you to toggle on/off the normalisation facility.

Interval Source: This radio button control allows you to specify whether the Sample Interval or Design Gate is determined from Seismic or User. If the source is Seismic then the normalisation parameters are obtained from the sample interval and gate length of the seismic data. If the source is User then you need to additionally provide the Nominal Seismic Sample Interval (ms) and Nominal Seismic Design Gate (ms) see below.

Nominal Seismic Sample Interval (ms): This spinbox control allows you to specify the nominal seismic sample interval to be used for normalisation purposes. This control is active if User is set for the "Interval Source" radio button above.

Nominal Seismic Design Gate (ms): This line edit field allows you to specify the nominal seismic design gate length to be used for normalisation purposes. This control is active if User is set for the "Interval Source" radio button above.

Taper Ends Using Papoulis Windowing

Taper Traces: This checkbox item turns on the apply taper facility for seismic traces. This allows the ends of the input seismic traces to be tapered.

Taper Length (ms): This input field value allows you to specify the taper length in milliseconds to apply to the input seismic traces

Taper Logs: This checkbox item turns on the apply taper facility for Reflectivity log data. This allows the ends of the input Reflectivity Log data to be tapered (previously referred to as ramped).

Taper Length (ms): This input field value allows you to specify the taper length in milliseconds to apply to the input Reflectivity Log data.

Log Data Resampling

Interval Source: This radio button allows you to select the source log data resampling.

Resampling Interval:This spinbox allows you to specify the resampling interval.

Figure 4.61. Design Operator Tab

There are three parameters that can be set in this group.

The Set Operator Energy = 1 checkbox item allows the total energy of the time-converted operator to be adjusted. With this turned on, the operator energy is matched to the smoothed mean seismic energy. When it is turned off, the operator energy is matched to the band limited global well log energy.

The Design Operator Filter Type radio button allows users to select between Cosine and Butterworth filter types. Switching between types here will cause the Design Operator parameter block in the Design Controls window to update. Click here for a description of the Butterworth filter options.

When the Design Operator Filter Type is set to Cosine the Enable Advanced Options check-box becomes available. If ticked (checked) it will turn on additional advanced parameters in the Design Controls window.

The field Residual Operator QC Correlation Coefficient displays the correlation coefficient value calculated between the Residual Operator Desired Output and the Convolved Smoothed Average Trace Spectrum. Pearson's correlation formula is used to calculate the correlation coefficient.

Figure 4.62. Well Logs Info Tab

The table on this tab shows, for each of the selected input well logs, the Well to Seismic correlation coefficient value, which is calculated between the filtered well log(the impedance well log convolved with the Band Pass Operator) and the seismic trace nearest the well location. In addition it also displays the Beta (for SCI) or Beta (for SSB) value for each individual well.

The row in light green corresponds to the well log that has highest well to seismic correlation value.

On the bottom right corner you can also see the Average Absolute Correlation Coefficient, which consists of the average of the absolute values of all the correlation values from the table.

Note that if ASCII logs without position information have been used then it is not possible to use these to calculate an Well to Seismic Correlation Coefficient.