A low-resistance oil layer productivity prediction method based on nuclear magnetic movable fluid saturation
By establishing a low-resistivity oil reservoir productivity prediction model based on nuclear magnetic resonance mobile fluid saturation, the problem of difficult permeability measurement in low-resistivity oil reservoirs was solved, and the accuracy of low-resistivity oil reservoir productivity prediction was improved, with the productivity prediction accuracy increased to 65%.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CNOOC TIANJIN BRANCH
- Filing Date
- 2023-09-08
- Publication Date
- 2026-06-02
AI Technical Summary
Existing technologies make it difficult to accurately measure the permeability of low-resistivity oil reservoirs, resulting in low accuracy in predicting the production capacity of these reservoirs. This is especially true in cases of reservoir heterogeneity and high bound water content, where the prediction error can be significant.
A low-resistivity oil reservoir productivity prediction model based on nuclear magnetic resonance (NMR) mobile fluid saturation was established. By analyzing the relationship between bound water saturation and permeability in core analysis, the T2 cutoff value of NMR logging was determined, and the porosity and effective porosity of NMR mobile fluid were calculated. Then, the relationship between NMR mobile fluid saturation and permeability was established, and the specific oil recovery index model was improved to predict oil reservoir productivity.
It improved the accuracy of low-resistivity oil reservoir production capacity prediction, increasing the consistency between the predicted capacity and actual production to 65%, significantly improving prediction accuracy.
Smart Images
Figure CN117248899B_ABST