Dual Sensor Seismic Raw Data Evaluation And Data Process Quality Control Methods

With the development of seismic migration imaging technology and the advancement of acquisition technology,structural imaging has been unable to satisfy the requirements of recently exploration,but lithology exploration gets more attention.As a new acquisition method that uses dual sensor in the same vertical plane to simultaneously receive the information of the underground reflected wave field,dual sensor acquisition system is to solve the problem of full wave equation rather than approximate treatment.Thus,this method is an amplitude preserving process in theory.Depth difference between geophones in different layers makes the received reflected wave field information have specific delay time difference,which is the premise and basis for realizing amplitude-preserving migration.Delay time difference can be used as an effective criterion to measure the quality of dual-sensor raw data and processing quality.However,the delay time difference of the raw data can't satisfy the imaging requirements due to the coupling of geophones and other factors in the actual data acquisition process,which makes the imaging effect unsatisfied.Therefore,it is necessary to establish the evaluation criteria,data processing methods and quality control system for dual-sensor raw data to meet the requirement of full acoustic wave equation amplitude preserving migration calculation.By analysis from foward modeling,delay time and time-space characteristics of the reflected wave of the dual-sensor seismic data,this paper establishes an evaluation system for dual-sensor raw data.The results of the migration imaging show that the evaluation system works well.And then we establish a set of process technology and flow suitable for dual-sensor.Aiming at the processing flow,a quality control system based on delay time difference and amplitude difference between the layers as the main monitoring object and combined with the characteristics of the processing method is established.The analysis of the final imaging results and well data show that the processing flow and quality monitoring system are effective and can satisfy the requirement of dual sensor data process.