Deep inclined fractured reservoir earthquake amplitude prediction method

Abstract

The invention provides deep inclined fractured reservoir earthquake amplitude prediction technology and belongs to the field of seismic prospecting. In the method, deep inclined fractured reservoir earthquake amplitude prediction is performed by using pre-stack seismic amplitude data and the method comprises the following steps of: performing theoretical model forward and inversion analysis of an inclined fracture medium on target area characteristics to acquire optimization and inversion parameters; optimizing date by the pre-processing of data, macro-surface element partial superposition and a residual gather leveling method so as to optimize parameters; and performing inclined fracture medium theory-based reservoir fracture inversion to obtain the parameters of the fracture. In the method, special processing means are adopted according to the characteristics of the deep reservoir, so that the signal-to-noise ratio is improved, and the real amplitude is guaranteed to the maximum extent. By using the method, the inclined fracture of the deep reservoir can be accurately predicted; accuracy and applicability are high; and the method is an effective method for predicting a deep fractured reservoir.

Description

technical field [0001] The invention belongs to the field of seismic exploration, and in particular relates to a seismic amplitude prediction technology for deep inclined fracture reservoirs. Background technique [0002] How to use the existing seismic exploration data to more accurately and effectively detect the fracture development characteristics of oilfield reservoirs is an important issue. Most of the existing reservoir fracture prediction technologies are based on directional vertical fractures, but in the case of complex deep structures, this assumption often has many problems. For example, there are a large number of inclined fracture systems developed in the reservoirs of some oil fields. [0003] With the development and utilization of oil and gas resources, the reserves of conventional porous oil and gas reservoirs are decreasing day by day. Exploration discoveries in Tahe Oilfield and other marine oil and gas fields show that my country's Cenozoic marine carb...

AI Technical Summary

Problems solved by technology

However, due to the influence of factors such as low signal-to-noise ratio of seismic wave, large picking error of seismic stacking velocity, and omni-directional incident angle, it is very difficult to predict inclined fractures in deep reservoirs by using pre-stack seismic amplitude characteristics (amplitude varies with offset)

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