Automatic underground micro earthquake event identification method based on multichannel scanning superposition

An automatic identification and micro-seismic technology, applied in seismology and seismic signal processing for logging records, can solve the problem of unsatisfactory results in identifying events with low signal-to-noise ratio, and improve fracturing operation efficiency , the effect of improving the success rate

Inactive Publication Date: 2016-11-23
中石化石油工程地球物理有限公司胜利分公司
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Problems solved by technology

The most notable advantage of the STA / LTA method is that it is simple in principle and easy to implement, but this method is only effective for identifying microseismic events with a high SNR, but often fails to achieve satisfactory results for identifying events with a low SNR

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  • Automatic underground micro earthquake event identification method based on multichannel scanning superposition
  • Automatic underground micro earthquake event identification method based on multichannel scanning superposition
  • Automatic underground micro earthquake event identification method based on multichannel scanning superposition

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Embodiment Construction

[0037] In order to make the above and other objects, features and advantages of the present invention more comprehensible, the preferred embodiments are listed below and shown in the accompanying drawings in detail as follows.

[0038] Such as figure 1 as shown, figure 1 It is a flow chart of the method for automatically identifying downhole microseismic events based on multi-channel scanning and stacking in the present invention.

[0039] refer to figure 1 , in step 110, filter the original microseismic monitoring data collected in the field to remove noise interference.

[0040] Here, the original microseismic monitoring data collected in the field can be filtered to remove noise interference. The steps may include: analyzing the original microseismic monitoring data effective waves and spectrum characteristics of interference; selecting appropriate filtering parameters to filter the original microseismic monitoring data. Here, spectrum analysis and filtering technologie...

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Abstract

The present invention provides a method for automatic recognition of downhole microseismic events based on multi-channel scanning and superposition, which includes: filtering original microseismic monitoring data collected in the field to remove noise interference ; select the sliding time window to divide the microseismic record into continuous multi-segment records; select one with high signal-to-noise ratio from the segmented records as the reference trace, and calculate the cross-correlation function between the reference trace and other traces to obtain trace time difference information; Use the time difference information to adjust the time window position of each channel to correct the time difference of the record; calculate the multi-channel similarity coefficient, and use the multi-channel similarity coefficient to detect microseismic events. The automatic identification method of downhole microseismic events based on multi-channel scanning superposition can effectively and automatically extract weak microseismic events from background noise, improve identification efficiency and greatly reduce the labor intensity of processing personnel.

Description

technical field [0001] The invention relates to the technical field of oilfield development, in particular to an automatic identification method for downhole microseismic events based on multi-channel scanning and stacking. Background technique [0002] With the continuous improvement of unconventional oil and gas exploration and development at home and abroad, hydraulic fracturing has gradually become one of the key engineering technical means to improve the recovery of unconventional oil and gas resources. Hydraulic fracturing microseismic monitoring technology is a technology that monitors the development of fractures by observing weak seismic events induced by the water injection fracturing process. The automatic identification of microseismic events is a key processing step of this technology. The number of effective microseismic events will directly affect the reliability of the final fracture imaging results. The microseismic monitoring technology, which monitors the...

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Application Information

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IPC IPC(8): G01V1/30G01V1/40
Inventor 冯刚何川胡来东于小刚刘美丽毛中华冯敏曹齐放
Owner 中石化石油工程地球物理有限公司胜利分公司
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