![Saw the video game free download](https://kumkoniak.com/11.jpg)
For thickness below ‘tuning’ the time separation measured from the trace would greatly over-estimated the thickness 6.
![seismic well tie tutorial hampson russell seismic well tie tutorial hampson russell](https://image3.slideserve.com/6065789/initial-crossplot-n.jpg)
T = Seismic period (peak to peak or trough to trough Fd (Dominant frequency) = 1/T * 1000 Tr (Temporal Thickness) = 1/2.31 Fd * 1000 Vertical Resolution = Tr*Vp/2000Ģ2 Seismic Response on different geologic boundaryĢ3 What is the resolution of this seismic data?Ģ4 Temporal Resolution At ‘A’ the two reflections are solvedĪs the units is thinned the two reflection begin to interfere resulting in a composite response that progressively increases in amplitude to the tuning thickness at ‘B’ Progressive thinning of the unit results in destructive interference and the composite decreases the amplitude The reflections never get much closer together in time than the tuning thickness 5. Temporal vertical resolution (tuning tickness): Separation by the seismic method of two features which are close together (1/4 wavelength of the signal)Ģ0 Vertical resolution in respect to depth Spline or polynomial Resolving differences in seismic and sonic travel timesĭifferent propagation paths for sonic and seismic Relative scales of measurement Frequency of measurement Spatial sampling Error in seismic migration Problem in log measurement (eg: invasion, cycle skipping) Bad checkshot value To calibrate sonic transit time with travel time from checkshot in order to match with the seismicġ6 Log Calibration Calibration Methods: Linear trends with knee points Wavelet MUST have center of energy Consistent Wavelet Synthetic match beyond interval of interest Whitening (broadening of frequency spectrum)ġ2 Well-Seismic Tie * Log Calibration Vp (Sonic) d (Density) AI (Vp.d) RCġ4 1 2 3 Wavelet Validation Consistent Wavelet Processing Steps Affecting Wavelet Shape (Courtesy R.E. Which idealized wavelet is suitable for these two different amplitude spectrums….?ġ0 Effect of Various Processing Step to Wavelet Shape 120o phase rotated zero phase wavelet Zero phase wavelet Illustration of phase rotation in respect to zero phase waveletĨ Wavelet Shape Changes Due To Earth Filter Thus there is a unique minimum phase wavelet for a given amplitude spectrum Thus this wavelet is NOT desirable for interpretation Minimum phase is used to describe a ‘causal’ wavelet (ie: no energy before zero) in which the phase is closest to zero but which displays the most rapid build up of energy. Zero Phase Wavelet Two Minimum Phase Wavelets European Normal European Reverse (SEG Normal) Sound source (explosive, airgun) has minimum phase wavelet Most wavelet extracted from seismic data have mixed phase Minimum phase is a condition of a wavelet rather than a description of its shape. It is a characteristic of the seismic data that the bandwidth of the input signal is modified by earth filter Thus shallow targets will generally be characterized by good bandwidth whilst deeper targets will have poorer bandwidth The seismic wavelet is the result of addition of the sin wave functions at each frequency Amplitude and phase spectrum are another wavelet representation Phase Spectrum Amplitude Spectrum The seismic trace is composed of energy that has a range of frequencies. Objectives Determine key marker that need to be interpreted Understand seismic response in respect to the wells Determine the seismic phase Check the log qualityģ Convolution Model & Polarity ConventionĮuropean Normal European Reverse (SEG Normal)
![Saw the video game free download](https://kumkoniak.com/11.jpg)