Reflection coefficient inversion reservoir prediction method based on weighted stacking noise suppression strategy

Abstract

The invention discloses a reflection coefficient inversion reservoir prediction method based on a weighted stacking noise suppression strategy. The method includes six main steps: 1), through a noise disturbance analysis, determining a source of noise influencing the inversion effect, and distinguishing seismic noise and inversion noise; 2) performing seismic noise suppression preprocessing on seismic data through a post-stack wavelet frequency division method; 3) for de-noised seismic data, constructing reflection coefficient inversion key parameters (a wavelet inverse transform factor F, an inversion predominant frequency band Q, and an inversion initial model S(n)); 4) suppressing inversion noise through weighted stacking of inversion results of multiple regularization parameters to obtain reflection coefficient inversion results; 5) performing quality control (QC) on the inversion results through spectrum analysis and a calibrated sound wave curve to obtain final result data; and 6) performing sand body fine interpretation based on the reflection coefficient result data, and predicting sand body spatial distribution characteristics. Compared with other thin reservoir prediction methods, according to the reflection coefficient inversion reservoir prediction method, the inversion anti-noise performance is high, thin-layer interference in the original seismic data can be eliminated, the prediction precision of the thin layer is greatly improved, and oil and gas exploration risks are reduced.

Description

technical field [0001] The invention relates to the field of comprehensive oil and gas exploration, and is based on conventionally collected longitudinal wave seismic data, and is a reflection coefficient inversion thin reservoir prediction method through multi-regularization parameter inversion results weighted superimposition to suppress inversion noise. Background technique [0002] In recent years, as the focus of oil and gas exploration has gradually shifted from structural traps to subtle traps such as lithology and stratigraphy, the proportion of petroleum reserves in subtle oil and gas reservoirs in all traps has also continued to increase. Therefore, subtle oil and gas reservoirs And its corresponding identification and prediction of thin reservoirs has already become one of the key directions of new oil and gas exploration, and it is also one of the main difficulties in current exploration. [0003] Due to the rapid development of seismic acquisition and processing...

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Problems solved by technology

[0003] Due to the rapid development of seismic acquisition and processing technology, the accuracy of identification objects is increasing day by day, and it has also become an indispensable means and technical method in the identification of thin reservoirs with subtle traps. However, limited by the thickness of sand bodies, Coupled with the low dominant frequency of original seismic data and the existence of thin layer interference, it is difficult to realize the interpretation of thin reservoirs based on original seismic data. Technical means generally have problems such as multiple solutions and low precision, and it is difficult to finely characterize the distribution characteristics of thin reservoirs

[0004] The Cretaceous reservoirs in the Chepaizi uplift on the western edge of the Junggar Basin are the reservoir types with the above-mentioned characteristics. They are a set of beach-bar facies deposits as a whole, with thin sand bodies, severe seismic reflection interference, and poor storage-seismic correspondence. At the same time, the top-bottom contact relationship of the strata is complex, making it difficult for conventional techniques such as post-stack attributes to accurately describe the development scale of sand bodies and the overlapping points and truncation points of sand bodies

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