| Autor: |
Li, Deyong, Huang, Yu, Cheng, Honggang, Wang, Enjiang, Huang, Qinghua, Wang, Hui, Wang, Wenyi, Duan, Chiyu |
| Předmět: |
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| Zdroj: |
Pure & Applied Geophysics; Nov2023, Vol. 180 Issue 11, p3919-3945, 27p |
| Abstrakt: |
Shale brittleness evaluation is one of the most important tasks in the process of shale gas exploration and development, but there are often some practical problems, such as the lack of rock mechanics test data and shear-wave information in well logs. Therefore, a method that combines petrophysical models and data optimization algorithms is developed, and its reliability is evaluated in combination with rock mechanics test data and well logs. This is applied to published well-log curves, with supporting mineralogical data and micropore structure data, for two wells penetrating the Late Permian mud shale formation within the Songliao Basin. The method introduces the organic to the rock physics model and inverts the velocity information at the constraint of the rock density. Compared with the P-wave velocity from the well log, the accuracy of the simulated P-wave velocity is greater than 90%, and the simulation accuracy of Young's modulus and Poisson's ratio is up to 90% after comparison with the rock physical test results. The research reveals that the Late Permian mud shale formation in the Songliao Basin has good reservoir conditions for gas. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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