Seismic Inversion Reservoir Prediction Method Based on Decompression Acoustic Velocity
A sonic velocity and seismic inversion technology, applied in seismology, geophysical measurement, seismic signal processing, etc., can solve unreasonable, inability to objectively reflect the initial porosity and compaction process of rock formations, and inability to obtain pore-depth changes function and other issues, to achieve the effect of wide application range and strong operability
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Embodiment 1
[0039] Example 1. Prediction of Paleozoic Permian tight sandstone reservoirs on the 2D seismic 07YC-EW242 line passing through Well Y454 in Yanchang Gas Field
[0040] A seismic inversion reservoir prediction method based on decompaction acoustic wave velocity, comprising the following steps:
[0041] The first step is to organize and analyze the original acoustic time difference curve
[0042] The acoustic transit time curve of Well Y454 was analyzed, and the target intervals were determined to be the Heba Member and Shanxi Formation in the Lower Shihezi Formation of the Permian. The overall quality of the original acoustic time difference curve is good, and only local outliers need to be processed. For example, the outliers -9999.99 at the top and bottom of the measured depth need to be deleted for subsequent display and speed conversion calculation.
[0043] The second step is to perform time-frequency analysis on the acoustic time-difference curve
[0044] The short-time...
Embodiment 2
[0055] Example 2: Prediction of Paleozoic Permian tight sandstone reservoirs on the 2D seismic YC2011-EW276 line passing through Well Y743 in Yanchang Gas Field
[0056] A seismic inversion reservoir prediction method based on decompaction acoustic wave velocity, comprising the following steps:
[0057] The first step is to organize and analyze the original sound wave velocity curve
[0058] The acoustic time difference logging curve of Well Y743 was analyzed, and the target intervals were determined to be the Heba Member and Shanxi Formation in the Lower Shihezi Formation of the Permian. The overall quality of the original acoustic transit time curve is good, and only the local outliers need to be de-spiked. For example, there is an outlier 23us / m at 2780.125m. This outlier is very isolated, indicating that it is not caused by lithology, but by early The processing result is artificially abnormal. Reasonable acoustic time difference is obtained after despiking treatment.
...
Embodiment 3
[0071] Example 3. Prediction of Paleozoic Permian tight sandstone reservoirs on the L327 seismic line passing through Well YQ2 in Yanchang Gas Field
[0072] A seismic inversion reservoir prediction method based on decompaction acoustic wave velocity, comprising the following steps:
[0073] The first step is to organize and analyze the original sound wave velocity curve
[0074] The acoustic time difference logging curve of Well YQ2 was analyzed, and the target intervals were determined to be the Heba Member and Shanxi Formation of the Lower Shihezi Formation in the Permian. The overall quality of the original acoustic time difference curve is good, and only local outliers need to be processed. For example, the outliers -9999.99 at the top and bottom of the measured depth need to be deleted for subsequent display and speed conversion calculation.
[0075] The second step is to perform time-frequency analysis on the sound wave velocity curve
[0076] The time-frequency analy...
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