A monitoring method using a microseismic monitoring system for oil layer fire flooding front
A technology for fire-flooding front and microseismic monitoring, which is applied to seismology, seismology, and measuring devices for logging records, can solve the problems of difficulty in acquiring microseismic wave velocity spectrum, large attenuation of microseismic signal transmission, and signal processing technology. It can reduce blindness, improve signal recognition, and reduce the effect of transmission attenuation.
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Embodiment 1
[0023] Such as figure 1 As shown in the present invention, a kind of megaseismic monitoring system for oil layer fire flooding front, the monitoring system includes: downhole detection module, shallow surface detection module, ground detection module, central processing module; described downhole detection module, shallow surface detection module The detection module and the ground detection module are respectively connected to the central processing module; preferably, the ground detection module includes: a ground data collection station, a detector, and a GPS signal receiving antenna; the detector is connected to the ground data collection station; the ground data collection station It is connected with the central processing module; the GPS signal receiving antenna receives the GPS clock signal returned by the downhole detection module.
[0024] The downhole detection module is used to detect the microseismic signals that occur in the process of gas injection and fire floo...
Embodiment 2
[0038] Such as figure 2 As shown, the present invention also relates to a method for microseismic monitoring of an oil reservoir fire flooding front, the method comprising the steps of:
[0039] S1, the three modules of ground detection module, shallow surface detection module and downhole detection module simultaneously monitor the microseismic signal, and transmit the microseismic signal data to the ground data acquisition station;
[0040] S2, the central processing module receives all the micro-seismic signal data in the ground data acquisition station, and processes all the micro-seismic signal data;
[0041] S3. According to the average velocity and propagation distance of the seismic wave obtained by the downhole geophone, the velocity model is output by forward modeling, and the P wave velocity model is further established according to the drilling acoustic wave time difference logging data in the monitoring area, and the two are combined and corrected to establish th...
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