Seismic Analysis: Data Conditioning

The Data Conditioning page allows you to perform various processing operations on the dataset to prepare the data for attribute computation.

Data Conditioning Options

• Bandpass Filter
• Butterworth Filter
• Dipscan Averaging
• Trace Mix
• Trace Mix Gaussian
• Trace Mix Triangulation

General Information

Process Parameters

When a conditioning process is selected the Process Parameters fields for each parameter will become active. The parameters change based on the process selected.

Bandpass Filter

A bandpass filter will filter out signal frequencies outside of the truncation range of frequencies, scale frequencies linearly between the truncation and cut values, and maintain frequencies within the cut range in tact.

Process Parameters

Filter Design

Butterworth Filter

A Butterworth filter is a type of bandpass filter that will scale frequencies outside the pass and stop band range based on the frequency octave (specified by the slope in dB).

Process Parameters

Filter Design

Dipscan Averaging

The Dipscan Averaging process is a RSI proprietary process to smooth a dataset in three dimensions. Using this process allows the creation of class 2 attributes.

Process Parameters

Trace Mix

The basic trace mix process is a three dimensional smoothing technique that replaces the value of each sample with the average (mean) of the samples around it, within a range specified by the number of traces/samples.

Trace mix processes are normalized such that the resulting sample is within the same magnitude range as the original dataset.

Process Parameters

Filter Design

Trace Mix Gaussian

The Gaussian trace mix process is a three dimensional smoothing technique that replaces the value of each sample with a weighted average (mean) of the samples around it, within a range specified by the number of traces/samples. Each surrounding sample is weighted by a Gaussian distribution.

Trace mix processes are normalized such that the resulting sample is within the same magnitude range as the original dataset.

Process Parameters

Filter Design

Trace Mix Triangulation

The triangulation trace mix process is a three dimensional smoothing technique that replaces the value of each sample with a weighted average (mean) of the samples around it, within a range specified by the number of traces/samples. Each surrounding sample is weighted linearly based on the distance (in samples) from the sample being calculated.

Trace mix processes are normalized such that the resulting sample is within the same magnitude range as the original dataset.

Process Parameters

Filter Design

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Also See

• Attribute Descriptions