A Fluid Identification Method Based on Equivalent Fluid Acoustic Impedance
A fluid acoustic wave and fluid identification technology, applied in seismic signal processing and other directions, can solve the problems of strict seismic data requirements, low accuracy of reservoir physical parameters, and large computational workload.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0068] Forward simulation case, the steps are as follows:
[0069] 1. Establish geological model through modeling software. Geological models such as figure 1 As shown, the model is 1000m wide, 500m high, and 4 stratigraphic boundaries divide the model into 5 layers. Assume that the 1st, 3rd, and 5th layers are mudstone formations, and the propagation speed of sound waves in this formation is 3000m / s, which is represented by gray. Assume that the 2nd and 4th layers are sandstone formations, and the porosity value is preferably 10% ~30%, in the present embodiment, formation porosity is 20%, and various fluids are in saturated state in sandstone formation, and the 4th layer is the formation that is full of water, and the density of water is assumed as 1g / cm 3 , the speed of sound waves in this formation is 3900m / s, the top of the second layer is full of oil, and the density of oil is assumed to be 0.8g / cm 3 , the speed of sound waves in this formation is 3800m / s, and the lowe...
Embodiment 2
[0096] Actual inversion case
[0097] The steps are:
[0098] 1) Firstly, denoising processing, surface consistency correction, spherical diffusion compensation, wavelet processing, DMO processing, and migration processing are performed on the collected seismic data, so that the obtained seismic data can be more realistically retrieved underground information, and the data amplitude can be preserved. real. Target interval T for seismic data 4 0 explanation, such as Figure 7 shown. On this basis, the oil density, water density, seismic wave propagation velocity, and porosity at different positions in the reservoir are obtained by using logging interpretation methods or petrophysical testing methods to form a data set. Figure 8 In order to perform uphole porosity interpretation based on logging data, porosity data for inversion can be obtained based on seismic interpretation and interpreted porosity data, such as Figure 9 As shown, the porosity is the measured porosity ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


