Quantitative Identification of Main Controlling Factors for Tight Sandstone Reservoir Sensitivity Based on PLS: A Case Study of the Yanchang Formation in the Xunyi–Yijun Area, Southern Ordos Basin

This study aims to evaluate the controlling factors of tight sandstone reservoir sensitivity in the third member of the Yanchang Formation, Xunyi–Yijun area, southern Ordos Basin. Based on core samples from 12 wells, we established a partial least squares regression (PLS) model through thin section observation, SEM, XRD, high-pressure mercury injection, and sensitivity flow experiments, to quantitatively analyze the relationship between reservoir sensitivity and its controlling factors. The results show that the study area reservoirs are dominated by feldspathic sandstone with moderate compaction, characterized by low porosity (4.4–17.8%, avg. 10.93%), low permeability (0.104–2.33 mD, avg. 0.82 mD), and heterogeneous distribution of clay minerals (mainly chlorite, illite, kaolinite, and illite/smectite mixed layer). The reservoirs generally show weak to moderately weak sensitivity. The PLS model reveals that reservoir sensitivity is controlled by the coupled effects of multiple factors, with no single absolute dominant factor for any sensitivity type. Porosity is the most influential variable for overall reservoir sensitivity, followed by feldspar, illite, and illite/smectite mixed layer, and porosity exerts the strongest control on most sensitivity types via VIP score analysis. This study provides a theoretical basis for reservoir damage prevention in the study area and a technical reference for quantitative sensitivity evaluation of similar tight sandstone reservoirs.

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Journal
Processes
Published
2026-04-02
DOI
https://doi.org/10.3390/pr14071147
Primary Topic
Hydrocarbon exploration and reservoir analysis
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article
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article

Quantitative Identification of Main Controlling Factors for Tight Sandstone Reservoir Sensitivity Based on PLS: A Case Study of the Yanchang Formation in the Xunyi–Yijun Area, Southern Ordos Basin

Zhaoyu Zhang, Jingong Zhang, Yitao Lei, Bolong Wang et al.
Processes
Hydrocarbon exploration and reservoir analysis
article

Quantitative Identification of Main Controlling Factors for Tight Sandstone Reservoir Sensitivity Based on PLS: A Case Study of the Yanchang Formation in the Xunyi–Yijun Area, Southern Ordos Basin

Zhaoyu Zhang, Jingong Zhang, Yitao Lei, Bolong Wang, Ruilong Suo, Feng Zhang, Tao Zhang
article en

Abstract

This study aims to evaluate the controlling factors of tight sandstone reservoir sensitivity in the third member of the Yanchang Formation, Xunyi–Yijun area, southern Ordos Basin. Based on core samples from 12 wells, we established a partial least squares regression (PLS) model through thin section observation, SEM, XRD, high-pressure mercury injection, and sensitivity flow experiments, to quantitatively analyze the relationship between reservoir sensitivity and its controlling factors. The results show that the study area reservoirs are dominated by feldspathic sandstone with moderate compaction, characterized by low porosity (4.4–17.8%, avg. 10.93%), low permeability (0.104–2.33 mD, avg. 0.82 mD), and heterogeneous distribution of clay minerals (mainly chlorite, illite, kaolinite, and illite/smectite mixed layer). The reservoirs generally show weak to moderately weak sensitivity. The PLS model reveals that reservoir sensitivity is controlled by the coupled effects of multiple factors, with no single absolute dominant factor for any sensitivity type. Porosity is the most influential variable for overall reservoir sensitivity, followed by feldspar, illite, and illite/smectite mixed layer, and porosity exerts the strongest control on most sensitivity types via VIP score analysis. This study provides a theoretical basis for reservoir damage prevention in the study area and a technical reference for quantitative sensitivity evaluation of similar tight sandstone reservoirs.

ProcessesVol. 14(7)
Northwest University (CN), China National Chemical Corporation (China) (CN), China National Petroleum Corporation (China) (CN)
National Science and Technology Major Project
Life in Land
Openalex Percentile: Top 32%
Hydrocarbon exploration and reservoir analysis
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