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Determination of reservoir wettability based on resistivity index prediction from core and log data
- Source :
- Journal of Petroleum Science and Engineering. 205:108842
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- With the increasing demand of precisive reservoir characterization in exploration and development of oil and gas, wettability plays a more and more significant role because it influences oil and water distribution. The determination of wettability has been a challenge to the researchers focusing on this area. In this study, a new method is proposed for the determination of wettability based on resistivity index prediction. Firstly, the model for estimating resistivity index using capillary pressure, porosity and median pressure by J-function is derived. Secondly, the model to estimate resistivity index via T2 time, porosity and T2 geometric mean is derived, which combines J-function with Schlumberger-Doll-Research (SDR) model. Thirdly, a new parameter, the ratio of mean saturation index calculated from first method to the one calculated from second method, is used to determine the reservoir wettability. To calibrate and verify the established models, 30 cores were acquired for the petrophysical experiments. The experimental results of 25 cores are used to calibrate the established models and build the quantitative relationship between the wettability and the ratio of mean saturation index, with a relevance of 0.96. Besides, the calibrated model is tested by using the experiment data of the rest 5 cores. The estimated wettability conforms to the experimental results. Finally, the processing and interpreting results of log data also indicate that the proposed model for quantitative prediction of wettability features good application effect. In conclusion, the proposed method for quantitative prediction of wettability is effective and highly reliable, which solves a difficult problem in formation evaluation.
- Subjects :
- Capillary pressure
Materials science
Petrophysics
Soil science
02 engineering and technology
010502 geochemistry & geophysics
Geotechnical Engineering and Engineering Geology
01 natural sciences
Core (optical fiber)
Fuel Technology
020401 chemical engineering
Reservoir modeling
Formation evaluation
Wetting
0204 chemical engineering
Geometric mean
Porosity
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 09204105
- Volume :
- 205
- Database :
- OpenAIRE
- Journal :
- Journal of Petroleum Science and Engineering
- Accession number :
- edsair.doi...........20d66deace6d7ddf4e560df420ad3fa6