EGU25-1565, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-1565
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Thursday, 01 May, 09:45–09:55 (CEST)
 
Room 0.16
A novel water saturation well logging evaluation model for tight carbonate gas reservoir based on pore-throat radius ratio from SEM images
Xin Nie1,2, Chuanrui Sun1,2, Shuoqi Yang1,2, Ying Zhou1,2, Sen Liu1, and Qianzhe Mei1
Xin Nie et al.
  • 1Key Laboratory of Exploration Technologies for Oil and Gas Resources, University of Yangtze University, Wuhan, Hubei 430100, China (niexin_cugb@126.com)
  • 2Laboratory of Reservoir Microstructure Evolution and Digital Characterization, Yangtze University, Wuhan, Hubei 430100, China (niexin_cugb@126.com)

Traditionally, resistivity well logs have been used to determine water saturation (Sw) in oil and gas reservoirs based on Archie's Law. However, the intricate pore structure of tight carbonates poses challenges, as their electric conductivity does not adhere to this law, thereby complicating the assessment of water/gas saturation in gas reservoirs. To address this, the study analyzed SEM images of carbonate samples to understand the pore structures. Utilizing the Slice-Gans model, 3D digital cores were constructed and resistivity was simulated.

The findings reveal that as porosity increases, the cementation exponent m in Archie's formula also increases. Theoretical derivations indicate that this is primarily due to changes in the PTRR as porosity varies. Dolomite and calcite are the primary minerals in the carbonates studied, and the PTRR differs between dolomite and calcite pores. Consequently, the m value varies depending on the mineral composition. By applying a parallel conductive model, the m value for cores with different dolomite and calcite volume fractions can be calculated.

Additionally, the study analyzed rock resistivity experiment results and found that the saturation exponent n's value also varies with porosity, with a fitted relationship established. This enabled the creation of a final variable m and n model. When applied to practical logging data, the calculated Sw values were found to be consistent with the bounded water saturation obtained from nuclear magnetic resonance (NMR) experiments in gas layers, validating the accuracy of the new model.

How to cite: Nie, X., Sun, C., Yang, S., Zhou, Y., Liu, S., and Mei, Q.: A novel water saturation well logging evaluation model for tight carbonate gas reservoir based on pore-throat radius ratio from SEM images, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1565, https://doi.org/10.5194/egusphere-egu25-1565, 2025.