Detection method of amplitude energy abnormality phenomenon of post-stack data

Abstract

The invention provides a detection method of an amplitude energy abnormality phenomenon of post-stack data, and belongs to the technical field of petroleum exploration data processing. The method comprises the following steps of dividing the post-stack data according to predetermined time windows; obtaining the amplitude energy value of each seismic trace under each of the time windows, obtaining the amplitude energy value of a whole-work-area seismic trace under each of the time windows, obtaining an energy deviation value of the amplitude energy value of each seismic trace relative to the amplitude energy value of the whole-work-area seismic trace, and taking the energy deviation value of each seismic trace as the energy attribute of the seismic trace; comparing the energy attribute of each seismic trace with the upper / lower limit of a predetermined threshold value to determine whether amplitude energy abnormality occurs or not and which type of amplitude energy abnormality occurs. By applying the detection method, the amplitude energy abnormality phenomenon can be evaluated objectively in a qualitative and quantitative way; moreover, the overall and local energy abnormality phenomena of the post-stack data can be recognized better; the detection accuracy rate is higher, and the detection efficiency is faster.

Description

technical field [0001] The invention relates to a method for detecting abnormal amplitude energy of post-stack data, belonging to the technical field of petroleum exploration data processing. Background technique [0002] In the process of seismic data processing, some phenomena of uneven amplitude and energy changes often appear on the post-stack pure wave data and result data sections. Figure 6 As shown, the main manifestations are the following aspects: weak energy boundary, strong energy boundary, local strong energy, single point outlier, energy mutation in space direction, etc. These abnormal phenomena mainly come from: [0003] 1. Acquisition of amplitude anomalies in original records [0004] 2. The abnormal amplitude of the old data due to the aging of the stored tape [0005] 3. The superimposed section cannot completely cover the amplitude anomaly existing in a specific part [0006] 4. Deal with abnormal amplitude caused by improper use of parameters [0007]...

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Problems solved by technology

[0004] 2. The abnormal amplitude of the old data due to the aging of the stored tape

[0005] 3. The superimposed section cannot completely cover the amplitude anomaly existing in a specific part

[0006] 4. Deal with abnormal amplitude caused by improper use of parameters

[0008] 1. Quantitative evaluation cannot be carried out

[0009] 2. To a large extent rely on personal experience, which is highly subjective

[0010] 3. It is easy to cause missed detection

[0012] The intensity of the quality control work of the processing quality has increased sharply, and the pressure is huge

[0013] 5. It cannot meet the current demand for engineering quality control of data processing

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