Carbonatite reservoir prediction method based on pre-stack multi-attribute and ancient landform fusion technology

Abstract

The invention provides a carbonatite reservoir prediction method based on a pre-stack multi-attribute and ancient landform fusion technology. The method comprises the following steps: 1) performing rock physical analysis on an area where a layer section to be predicted is located based on drilled well data, and determining pre-stack elastic parameters sensitive to a carbonate reservoir; 2) for theinterval to be predicted, determining a relational expression between the longitudinal wave velocity and the transverse wave velocity based on the drilled well data, determining a relational expression between the density and the longitudinal wave velocity, and then performing pre-stack AVO attribute inversion calculation to obtain specific numerical values of the determined pre-stack elastic parameters sensitive to the carbonate reservoir; 3) respectively determining a current structural form and an ancient landform for the interval to be predicted; and 4) for the interval to be predicted, performing data normalization and fusion processing on each pre-stack elastic parameter obtained by inversion of the determined current structural form, ancient landform and the determined pre-stack AVO attribute, and performing carbonate reservoir prediction by using a fused result.

Description

technical field [0001] The invention belongs to the field of petroleum exploration, and relates to a carbonate reservoir prediction technology in the field of seismic data interpretation in petroleum exploration, in particular to a carbonate reservoir prediction method based on pre-stack multi-attribute and paleogeomorphic fusion technology, specifically as follows Using seismic data to interpret multi-attribute fusion technology for carbonate reservoir prediction technology. Background technique [0002] A variety of geophysical techniques have emerged in carbonate reservoir prediction, including post-stack amplitude attribute analysis, pre-stack AVO analysis, geophysical inversion, waveform classification, spectrum analysis, three-dimensional coherence analysis, and so on. In the 1970s, Ostrander proposed the application of “bright spots” and the AVO analysis technology of the change of the reflection coefficient with the incident angle to predict the reservoir, based on t...

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Problems solved by technology

In the 1970s, Ostrander proposed the application of "bright spot" and the AVO analysis technology that the reflection coefficient changes with the incident angle to predict the reservoir, based on the Zoeppritz equation of reflection and projection of seismic waves on the horizontal interface established in 1919, but The analysis of this equation is complicated, and it is very difficult to solve practical problems. Later, Aki Richards, Shuy, Fatti and others simplified the analysis of this equation and applied it to the interpretation of actual seismic data (Zuo Guoping, Lu Fuliang, Fan Guozhang, etc. AVO technology in the detection of gas-bearing properties in the Bay of Bengal Application in Petroleum Geophysical Exploration, 2011,46(1):60-66. Ren Lidan, Wang Peng, Liu Chengfang et al. Application of pre-stack AVO inversion technology in prediction of hydrocarbon content of carbonate reservoirs in Shunnan area Applied. Acta Engineering Geophysics, 2018,15(3):292-298)

There are many types of carbonate reservoirs, strong heterogeneity, rapid lateral change of reservoirs, seismic amplitude response characteristics and elastic parameter anomalies are not obvious, and conventional methods have multiple solutions, especially in regions with less drilling. The degree is greatly reduced, which affects the accuracy of reservoir prediction

In practical applications, the lateral amplitude of carbonate reservoirs varies greatly, which affects the change of amplitude with offset. In addition, due to the limitation of burial depth and application conditions, in areas with large structural fluctuations in middle and deep formations, App doesn't work well

The main information of seismic inversion comes from earthquakes. Due to the influence of high density and high velocity of carbonate reservoirs, the reflection is weak in places where it is mixed with other lithologies, which exists in the case of large differences in actual geological characteristics. In addition, in the exploration area Blocks are generally less well drilled, often making inversion techniques less than ideal for carbonate reservoir prediction

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