<p>Geological storage of carbon dioxide (CO<sub>2</sub>) in formations, evaluated from geological, thermodynamic, ecological, and economic criteria, is a promising solution to combat climate change effectively. In this study, we investigated the Sui Main Limestone (SML) Formation in Qadirpur Gas Field as a potential CO<sub>2</sub> storage site. Our investigation included petrophysical analysis, lithofacies prediction, horizon demarcation, and reservoir characterization via machine learning approaches. We further estimated the impedance and effective porosity (PHIE) volumes of the observed reservoir, conducted thermodynamic analysis as feasibility check for CO<sub>2</sub> storage, and validated the caprock integrity for secure CO<sub>2</sub> containment. The study reveals the possibility of secure CO<sub>2</sub> storage within a 30&#xa0;m reservoir zone, in the SML Formation, with an average total porosity of 0.21 v/v, PHIE of 0.19 v/v, and hydrocarbon saturation of 0.82 v/v. The lithofacies classification indicates that the reservoir is a hydrocarbon-bearing limestone, further supporting its suitability for CO<sub>2</sub> storage. Furthermore, lithology, permeability, and PHIE values of the caprock confirm its suitability for withholding CO<sub>2</sub> from seepage. Seismic interpretation confirms tectonic stability, whereas low impedance and high PHIE values throughout the reservoir highlight its potential for carbon sequestration. Thermodynamic conditions in the SML Formation support the supercritical state of the CO<sub>2</sub>, while the declining production history of the field necessitates enhanced oil recovery and subsequent long-term CO<sub>2</sub> storage. This research therefore offers valuable insights into the potential contribution of SML Formation which can be used by both the industry and the policy makers for sustainable energy practices and climate mitigation efforts.</p>

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Carbon storage assessment using machine learning approaches in Qadirpur Gas Field, Pakistan

  • Mishal Razaq,
  • Aamir Ali,
  • Khaista Rehman,
  • Matloob Hussain,
  • Yawar Amin

摘要

Geological storage of carbon dioxide (CO2) in formations, evaluated from geological, thermodynamic, ecological, and economic criteria, is a promising solution to combat climate change effectively. In this study, we investigated the Sui Main Limestone (SML) Formation in Qadirpur Gas Field as a potential CO2 storage site. Our investigation included petrophysical analysis, lithofacies prediction, horizon demarcation, and reservoir characterization via machine learning approaches. We further estimated the impedance and effective porosity (PHIE) volumes of the observed reservoir, conducted thermodynamic analysis as feasibility check for CO2 storage, and validated the caprock integrity for secure CO2 containment. The study reveals the possibility of secure CO2 storage within a 30 m reservoir zone, in the SML Formation, with an average total porosity of 0.21 v/v, PHIE of 0.19 v/v, and hydrocarbon saturation of 0.82 v/v. The lithofacies classification indicates that the reservoir is a hydrocarbon-bearing limestone, further supporting its suitability for CO2 storage. Furthermore, lithology, permeability, and PHIE values of the caprock confirm its suitability for withholding CO2 from seepage. Seismic interpretation confirms tectonic stability, whereas low impedance and high PHIE values throughout the reservoir highlight its potential for carbon sequestration. Thermodynamic conditions in the SML Formation support the supercritical state of the CO2, while the declining production history of the field necessitates enhanced oil recovery and subsequent long-term CO2 storage. This research therefore offers valuable insights into the potential contribution of SML Formation which can be used by both the industry and the policy makers for sustainable energy practices and climate mitigation efforts.