1. Field of the Invention
The present invention relates generally to passive seismic event detection, and particularly to an interferometric method of enhancing passive seismic events that provides an algorithm for correlating multiple seismic traces to enhance detection of weak passive seismic events.
2. Description of the Related Art
Seismic interferometry involves the cross-correlation of responses at different receivers to obtain the Green's function between these receivers. For the simple situation of an impulsive plane wave propagating along the x-axis, the cross-correlation of the responses at two receivers along the x-axis gives the Green's function of the direct wave between these receivers.
When the source function of the plane wave is a transient, as in exploration seismology, or a noise signal, as in passive seismology, then the cross-correlation gives the Green's function convolved with the autocorrelation of the source function.
Direct-wave interferometry also holds for 2-D and 3-D situations, assuming the receivers are surrounded by a uniform distribution of sources. Seismic interferometry (SI) involves cross-correlation (CC) and summation of traces. SI has been used in many applications. Enhancement of weak microseismic (MS) events has, however, remained problematic.
Thus, an interferometric method of enhancing passive seismic events solving the aforementioned problem is desired.
The interferometric method of enhancing passive seismic events uses an algorithm that employs SI to enhance weak microseismic (MS) events. The interferometric method includes the step of cross-correlation (CC) of the trace recorded at a reference receiver location with the traces recorded at the rest of receiver locations. If the source wavelet recorded at all receivers is constant, then these CC traces should be very similar to each other, except for a time shift due to different receiver locations. Due to this process, the timing of a micro-seismic (MS) event on the i-th CC trace is given as: tcci=ti-tr, where tr and ti are the timings of the MS event on the raw reference and i-th traces. If the first receiver (i=1) is selected as the reference receiver; then i runs from 2 to M, where M is the total number of receivers in the experiment.
Next, the CC traces are aligned to zero timing by applying shifts that are calculated by searching for the position of the maximum CC trace value. Due to this process, the timing of the MS event on the aligned i-th CC trace (tccai) will be zero, regardless of the receiver location (i.e., tccai=0).
Subsequently, the aligned CC traces are summed to produce a stacked CC trace that has a signal-to-noise ratio (SNR) better than the individual CC traces. Note that the timing of the MS event (tccas) will also be zero on this stacked CC trace (i.e., tccas=0).
Lastly, the stacked CC trace is convolved with each raw trace to put the MS event at the correct timing. Due to this process, the timing of the MS event on the i-th convolved trace (tccasci) will be equal to the timing of the MS event on the corresponding i-th raw trace (i.e., tccasci=ti).
These and other features of the present invention will become readily apparent upon further review of the following specification and drawings.
Similar reference characters denote corresponding features consistently throughout the attached drawings.
The interferometric method of enhancing passive seismic events includes cross-correlation of the trace recorded at a reference receiver location with the traces recorded at the rest of receiver locations. If the source wavelet recorded at all receivers is constant; then these CC traces should be very similar to each other, except for a time shift due to different receiver locations. Due to this process, the timing of a MS event on the i-th CC trace is given as,
tcci=ti−tr (1)
where tr and ti are the timings of the MS event on the raw reference and i-th traces. If the first receiver (I=1) is selected as the reference receiver; then i runs from 2 to M, where M is the total number of receivers in the experiment.
Next, the CC traces are aligned to zero timing by applying shifts that are calculated by searching for the position of the maximum CC trace value. Due to this process, the timing of the MS event on the aligned i-th CC trace, tccai, will be zero, regardless of the receiver location, i.e., tccai=0.
Subsequently, the aligned CC traces are summed to produce a stacked CC trace that has a signal-to-noise ratio (SNR) better than the individual CC traces. Note that the timing of the MS event (tccas) will also be zero on this stacked CC trace (i.e., tccas=0).
Lastly, the stacked CC trace is convolved with each raw trace to put the MS event at the correct timing. Due to this process, the timing of the MS event on the i-th convolved trace, tccasci, will be equal to the timing of the MS event on the corresponding i-th raw trace i.e., tccasci=ti.
It will be understood that the diagrams in the Figures depicting the interferometric method for enhancing passive microseismic (MS) are exemplary only, and that the interferometric method may be embodied in a dedicated electronic device having a microprocessor, microcontroller, digital signal processor, application specific integrated circuit, field programmable gate array, any combination of the aforementioned devices, or other device that combines the functionality of the interferometric method for enhancing passive microseismic (MS) onto a single chip or multiple chips programmed to carry out the method steps described herein, or may be embodied in a general purpose computer having the appropriate peripherals attached thereto and software stored on a computer readable media that can be loaded into main memory and executed by a processing unit to carry out the functionality of the apparatus and steps of the method described herein.
As an example, the method steps implementing the interferometric algorithm described herein is applied to synthetic seismic data generated using the following parameters: Referring to
The raw traces are generated by ray tracing. Plot 400 of
The algorithm can be enhanced by using all possible trace pairs for cross-correlation. The maximum number of CC traces generated from M receivers is M2. If this is done, the SNR of the convolved traces could be as much as M times the SNR of the raw traces. This approach is expected to be operational on synthetic data, as well as real data acquired in field testing.
It is to be understood that the present invention is not limited to the embodiments described above, but encompasses any and all embodiments within the scope of the following claims.