Method for enhancing oil gas detecting accuracy using vibration amplitude with off-set distance variation characteristic
An amplitude-dependent offset, oil and gas detection technology, applied in the field of petroleum geophysical exploration, which can solve the problems of increasing the uncertainty of inversion results and reducing the approximate accuracy of reflection coefficients
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Embodiment 1
[0079] (1) Excite seismic waves and record seismic waves, perform high-fidelity processing with relative amplitude preservation according to the conventional seismic data processing flow, and form a normal moveout corrected gather that can be directly used for AVO analysis of amplitude variation with offset;
[0080] (2) Perform angle gather transformation on the input data, and the angle range is 0-30°.
[0081] (3) Constrained by the background mudstone line trend β=0.86α-1172 in the work area, use the formula (8) to perform AVO attribute fitting on the corner gather section in step (2), and get Δ(λ / μ+2) / (λ / μ+2) and Δ(μρ) / (μρ) property profiles.
[0082] (4) Use equations (11.1) and (11.2) to perform post-stack inversion on attributes Δ(λ / μ+2) / (λ / μ+2) and Δ(μρ) / (μρ), and perform step (3) The two attributes in are operated to obtain the AVO intercept attribute.
[0083] (5) Use the attributes obtained in step (4) to obtain the AVO intercept, and combine Δ(λ / μ+2) / (λ / μ+2) and ...
Embodiment 2
[0086] (1) Seismic data obtained by forward modeling using logging data and 20% noise added, and NMO correction was performed on the simulated data;
[0087] (2) Carry out angle gather transformation to the data obtained in step (1), and the angle range is 0~35°;
[0088] (3) Use formula (8) to perform AVO attribute fitting on the angle gather profile in step (2), and obtain Δ(λ / μ+2) / (λ / μ+2) and Δ(μρ) / (μρ) attribute profile, and use (11.1) and (11.2) to carry out post-stack inversion on attributes Δ(λ / μ+2) / (λ / μ+2) and Δ(μρ) / (μρ), and obtain LMR, velocity Compared with longitudinal and shear wave impedance data.
[0089] Image 6 The accuracy comparison results of the LMR parameters retrieved for noisy model data (noise is 20%), wherein the solid line represents the theoretical value, the dotted line represents the LMR parameters extracted by the present invention, and the dotted line represents the result extracted by the Fatti formula. As can be seen from the figure, the r...
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