Automatic microseismic event detection and location with a RMS velocity and surface data

Zhang，Xiong1; Zhang，Wei2; Zhang，Jie1

10.1190/segam2017-17774418.1

2017-08-17

1052-3812

1949-4645

SEG Technical Program Expanded Abstracts

2802-2807

The signal-to-noise ratio of microseismic data is generally low for surface monitoring due to the near-surface attenuation, relatively long propagation path, source radiation pattern, and small magnitude of the events. In addition, the uncertainty of the velocity model for the microseismic applications may be large because of limited information from sources such as perforation shots. To solve the above problems, we develop a time domain approach for event detection and location, in which we first scan a RMS velocity using the perforation shot event, which may not be clearly seen in the seismic data, and then detect and locate the microseismic events simultaneously by stacking data using the RMS velocity. Similar to the velocity analysis in the seismic reflection data processing, we stack the waveform data of the perforation shot along the hyperbolic curve and pick the maximum stacking energy to obtain the RMS velocity. We can then derive the average velocity using the known depth of the perforation shot. The subsequent microseismic events are then detected and located with the similar stacking procedure using the RMS velocity and average velocity. Synthetic examples show that the stacking image with the RMS velocity can help recover the true source locations reasonably well, and the horizontal location parameters are constrained better than the depth parameter. We apply the method to real data, and the results suggest that the approach can effectively detect events with low signal-to-noise ratio in an automatic fashion.

其他

英语

EI

20215311409751

Data handling ; Geophysical prospecting ; Horizontal wells ; Location ; Seismic waves ; Signal to noise ratio ; Velocity

Geophysical Prospecting:481.4 ; Seismology:484 ; Earthquake Measurements and Analysis:484.1 ; Oil Fields:512.1.1 ; Information Theory and Signal Processing:716.1 ; Data Processing and Image Processing:723.2

2-s2.0-85121862950

Scopus

1.University of Science and Technology of China,China
2.Southern University of Science and Technology,China

Zhang，Xiong,Zhang，Wei,Zhang，Jie. Automatic microseismic event detection and location with a RMS velocity and surface data[C],2017:2802-2807.