Classification of Tight Sandstone Gas Reservoirs and Evaluation of Aqueous-Phase Trapping Damage Using Mercury Intrusion Porosimetry

Diagnosing water-phase damage remains challenging because routine petrophysical parameters do not capture capillary hysteresis and pressure-transmission effects. In this study, a standardized, auditable workflow was established to link laboratory descriptors to field-relevant cleanup. Full-curve mercury injection capillary pressure data were acquired and converted using consistent Washburn parameters, from which withdrawal efficiency was computed on the withdrawal branch. A pressure-transmission coefficient was evaluated under unified boundary conditions to complement permeability and porosity. After preprocessing and partial least-squares regression (PLSR) screening, MICP descriptors were clustered by k-means (k = 5) to obtain reservoir Types I–V. Regressions relating WE to permeability and flowback behavior were then used to assess engineering relevance. The results indicate that WE capture hysteretic trapping/back-pressure not contained in permeability or porosity and, when interpreted jointly with PTC, differentiates reservoir types by cleanup propensity. This framework provides a reproducible bridge from laboratory MICP hysteresis to field-scale flowback interpretation. Practical implications include prioritization of gas–wet wettability modification, low-surface-tension systems, and minimized early liquid loading for clusters exhibiting higher WE and lower PTC.

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Publication Details

Journal
Processes
Published
2025-11-14
DOI
https://doi.org/10.3390/pr13113682
Primary Topic
Enhanced Oil Recovery Techniques
Type
article
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article

Classification of Tight Sandstone Gas Reservoirs and Evaluation of Aqueous-Phase Trapping Damage Using Mercury Intrusion Porosimetry

Nan Zhang, Qin Bie, Yu Lu, Ying Liu et al.
Processes
Enhanced Oil Recovery Techniques
article

Classification of Tight Sandstone Gas Reservoirs and Evaluation of Aqueous-Phase Trapping Damage Using Mercury Intrusion Porosimetry

Nan Zhang, Qin Bie, Yu Lu, Ying Liu, Yuanyuan Tian, Xin Zhou
article en

Abstract

Diagnosing water-phase damage remains challenging because routine petrophysical parameters do not capture capillary hysteresis and pressure-transmission effects. In this study, a standardized, auditable workflow was established to link laboratory descriptors to field-relevant cleanup. Full-curve mercury injection capillary pressure data were acquired and converted using consistent Washburn parameters, from which withdrawal efficiency was computed on the withdrawal branch. A pressure-transmission coefficient was evaluated under unified boundary conditions to complement permeability and porosity. After preprocessing and partial least-squares regression (PLSR) screening, MICP descriptors were clustered by k-means (k = 5) to obtain reservoir Types I–V. Regressions relating WE to permeability and flowback behavior were then used to assess engineering relevance. The results indicate that WE capture hysteretic trapping/back-pressure not contained in permeability or porosity and, when interpreted jointly with PTC, differentiates reservoir types by cleanup propensity. This framework provides a reproducible bridge from laboratory MICP hysteresis to field-scale flowback interpretation. Practical implications include prioritization of gas–wet wettability modification, low-surface-tension systems, and minimized early liquid loading for clusters exhibiting higher WE and lower PTC.

ProcessesVol. 13(11)
Chongqing University of Science and Technology (CN), Gas Technology Institute (US), China National Petroleum Corporation (China) (CN)
Openalex Percentile: Top 57%
Enhanced Oil Recovery Techniques
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Classification of Tight Sandstone Gas Reservoirs and Evaluation of Aqueous-Phase Trapping Damage Using Mercury Intrusion Porosimetry — Nan Zhang, Qin Bie, et al. · Processes (2025) | TGRS Research Map | TGRS