Tan, M.; Xiao, C.; Han, C.; Li, B.; Luo, W.; Wang, A.; Wang, Q. Fluid identification method and adaptability analysis of ultra-low porosity tight sandstone in Kuqa Depression, Tarim Basin. Preprints2020, 2020080559. https://doi.org/10.20944/preprints202008.0559.v1
Tan, M., Xiao, C., Han, C., Li, B., Luo, W., Wang, A., & Wang, Q. (2020). Fluid identification method and adaptability analysis of ultra-low porosity tight sandstone in Kuqa Depression, Tarim Basin. Preprints. https://doi.org/10.20944/preprints202008.0559.v1
Tan, M., Andong Wang and Qian Wang. 2020 "Fluid identification method and adaptability analysis of ultra-low porosity tight sandstone in Kuqa Depression, Tarim Basin" Preprints. https://doi.org/10.20944/preprints202008.0559.v1
The deep Cretaceous tight sandstone in Kuqa Depression of Tarim foreland basin is an ultra-low porosity and ultra-deep gas-bearing reservoir, which is characterized by small pores, fine throats, and poor connectivity. The wireline logging responses are so complex, and especially, it is difficult to identify fluid types from resistivity logs. Based on acoustic, density, and neutron logs response differences in gas and water layers, effective fluid sensitivity factors are constructed for gas layer identification. From conventional logs, acoustic-neutron porosity difference, density-neutron porosity difference, and triple-porosity ratio are all sensitive parameters to the gas layer. From the NMR logging response mechanism, the density and NMR porosity difference, and T2 geometric mean of the movable fluid are also two sensitive parameters to the gas layer. Based on these parameters, a series of fluid typing charts are constructed and their adaptabilities are analyzed and compared. By contrast, NMR log interpretation is better, and triple-porosity comprehensive method from conventional logs is also effective when NMR logging is not available. Finally, the comprehensive fluid typing strategy by combining some methods for ultra-low porosity tight sandstone is summarized and optimized. This study is another alternative for fluid identification using non-electrical logs.
Environmental and Earth Sciences, Geophysics and Geology
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