Fracture development area prediction method, and computer storage medium for predicting fracture development area
A technology of computer storage and fracture development, which is applied to the computer storage medium for predicting fracture development areas and the prediction field of fracture development areas, and can solve the problem of low accuracy of fracture scale prediction
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0043] The prediction method of the fracture development area in this embodiment adopts the following steps:
[0044] 1) According to the coring data and logging data of horizontal wells, identify the fractures encountered in horizontal wells, and through the analysis of acoustic wave curves and resistivity curves, clarify the electrical characteristics of fractures and the scale of electrical identification fractures, specifically including the following:
[0045] 1.1 According to the number of fractures identified by well logging and the results of core analysis, determine the depth position of the fracture at the well point;
[0046] 1.2 According to the fracture development density of the horizontal well statistics, combined with the information of the acoustic wave curve and the resistivity curve of the fracture position, the intersection analysis method is used to determine the electrical characteristic data corresponding to different fracture development densities (that ...
Embodiment 2
[0061] The prediction method of the fracture development area of this embodiment is basically the same as the method of embodiment 1, the only difference is:
[0062] In step 1), when determining the sensitive parameters, according to the characteristics of the region, the acoustic wave data and the resistivity data are used as the electrical characteristic data. Specifically, the acoustic wave curve value is greater than 240, and the resistivity value is less than 30.
[0063] The dip attribute and curvature attribute are seismic feature data.
[0064] According to the sensitive parameters selected above, the fracture scale is determined accordingly.
Embodiment 3
[0066] The prediction method of the fracture development area of this embodiment is basically the same as the method of embodiment 1, the only difference is:
[0067] In step 1), when determining the sensitive parameters of electrical characteristics, according to the characteristics of the region, the acoustic wave data and resistivity data are used as the electrical characteristic data, specifically showing that the acoustic wave curve value is greater than 240 and the resistivity value is less than 30.
[0068] The coherence attribute and dip attribute are seismic characteristic data.
[0069] According to the sensitive parameters selected above, the fracture scale is determined accordingly.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


