1. School of Earth Sciences,Northeast Petroleum University (Daqing),Daqing 163318,China 2. Research Institute of Exploration and Development of Daqing Oilfield Company Limited,Daqing 163712,China 3. Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China 4. Key Laboratory of Earth and Planetary Physics,Chinese Academy of Sciences,Beijing 100029,China;
The first arrival of seismic data is a key step of data preprocessing in seismic exploration.In the development of unconventional oil and gas reservoirs,surface microseismic monitoring technology is widely used.The focus of the work is to obtain the source location information generated by hydraulic fracturing,that is,the location of the microseismic source.For the microseismic source location, the initial picking of microseismic events is a key step,and the accuracy of the picking results directly affects the positioning accuracy of the microseismic events and the interpretation of the final results.However,in the actual seismic data,the signal-to-noise ratio of microseismic data is generally low,and it is difficult to obtain more accurate first arrival results.At present,the picking up of the first arrival wave of the microseismic is mainly divided into two methods:manual picking and computer automatic picking.The manual picking has the characteristics of high accuracy,but the workload is large,time-consuming and laborious.Aimed at picking accuracy of the first-arrival wave of seismic data and the anti-noise performance of the method,this paper makes improvement on the basis of the statistical energy ratio method of transforming time window,and sets the threshold value R while applying statistical law to obtain the superiority of high credibility.Combined with the value of picking range constraint Z and a variety of picking strategies,the first-arrival wave pick-up of the seismic record is finally achieved.The method was used to pick up the 3D seismic data of a work area in Songliao Basin and the hydraulic fracturing ground microseismic monitoring data of a horizontal well in Songliao Basin.The picking effect was obtained and the practicability of the method was verified.In summary,the method has achieved good pickup results in both the theoretical data of different signal-to-noise ratios and the application of actual data,and has strong anti-noise performance.
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