Method for distinguishing effectiveness of reservoir bed through stoneley wave energy loss degree
A technology of energy loss and effectiveness, which is applied in the field of reservoir effectiveness identification and Stoneley wave energy loss degree to determine the effectiveness of reservoirs. It can solve the problems of effective reservoir identification accuracy and cumbersome process, etc., and achieves convenient operation. , the method is simple, and the effect of a wide range of applications
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0033] A method for judging the effectiveness of reservoirs by using the Stoneley wave energy loss degree, including: formation rocks and reservoir pores have different Stoneley wave energy response characteristics, and the Stoneley wave energy extracted from array acoustic logging data The energy is the comprehensive response of the Stoneley wave energy of formation rocks and the degree of Stoneley wave energy loss in the pores, so the relationship between Stoneley wave energy and porosity is established. By inputting the porosity calculated by well logging, the average Stoneley wave energy and the Stoneley wave energy of formation rocks, the loss degree of Stoneley wave energy in pores can be calculated. The larger the Stoneley wave energy loss degree value is, the more Stoneley wave energy loss is, which reflects the better connectivity between reservoir pores and better reservoir effectiveness. The invention not only considers the Stoneley wave energy and formation porosit...
Embodiment 2
[0052] The present invention is used to judge the validity of reservoirs in complex lithology clastic strata in a certain block, and the coincidence rate of the judgment of reservoir validity is above 90%.
[0053] attached figure 1 , 2 It is the result map of reservoir effectiveness discrimination of two wells A and B in this block. Tracks 1, 2, 3, and 4 in the figure are depth and conventional logging curves; Tracks 5 and 6 are lithology profiles and porosity obtained from logging data processing; Tracks 7 and 8 are interpretation conclusions and gas test results; The 9th, 10th and 11th tracks are the longitudinal wave energy, shear wave energy and Stoneley wave energy curves extracted from the array acoustic wave data; the 12th track is the Stoneley wave energy loss degree curve calculated according to the present invention.
[0054] From attached figure 1 It can be seen from the figure that the porosity of the 1# reservoir is between 5% and 10%, and the pores are rela...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com