Abstract
Underground CO2 storage is a promising technology for mitigating climate change. In this vein, the subsurface condition was inherited a lot of uncertainties that prevent the success of the CO2 storage project. Therefore, this study aims to build the 3D model under geological uncertainties for enhancing CO2 storage capacity in the Shahejie Formation (Es1), Nv32 block, China. The well logs, seismic data, and geological data were used for the construction of 3-D petrophysical models. The target study area model focused on four units (Es1 × 1, Es1 × 2, Es1 × 3, and Es1 × 4) in the Shahejie Formation. Well logs were utilized to predict petrophysical properties; the lithofacies indicated that the Shahejie Formation units are sandstone, shale, and limestone. Also, the petrophysical interpretation demonstrated that the Es1 reservoir exhibited high percentage porosity, permeability, and medium to high net-to-gross ratios. The static model showed that there are lateral heterogeneities in the reservoir properties and lithofacies; optimal reservoir rocks exist in Es1 × 4, Es1 × 3, and Es1 × 2 units. Moreover, the pore volume of the Es1 unit was estimated from petrophysical property models, ranging between 0.554369 and 10.03771 × 106 sm3, with a total volumetric value of 20.0819 × 106 sm3 for the four reservoir units. Then, the 100–400 realizations were generated for the pore volume uncertainties assessment. In consequence, 200 realizations were determined as an optimal solution for capturing geological uncertainties. The estimation of CO2 storage capacity in the Es1 formation ranged from 15.6 to 207.9 × 109 t. This result suggests the potential of CO2 geological storage in the Shahejie Formation, China.
Highlights
Carbon capture and storage is an alternative approach for minimizing CO2 emissions to the atmosphere (Vo Thanh et al 2019; Ampomah et al 2017b)
We address comprehensive 3-D reservoir geological modeling as a multi-objective function of the four reservoir units in the Paleogene Shahejie Formation (Es1) and compute the CO2 storage capacity based on the geological uncertainty in the Nv32 block of the Shenvsi oilfield (Fig. 1)
The well log data indicate that the Es1 × 2, Es1 × 3, and Es1 × 4 reservoir units generally exhibit 2–36% porosity, 0.017‒974.8 mD permeability, and moderate to good net-to-gross ratio (NTG) ratios, i.e., good reservoir quality
Summary
Carbon capture and storage is an alternative approach for minimizing CO2 emissions to the atmosphere (Vo Thanh et al 2019; Ampomah et al 2017b). We address comprehensive 3-D reservoir geological modeling as a multi-objective function of the four reservoir units in the Paleogene Shahejie Formation (Es1) and compute the CO2 storage capacity based on the geological uncertainty in the Nv32 block of the Shenvsi oilfield (Fig. 1). These geophysical and geological data were used to quantify and improve the accuracy of the internal structure of the reservoir and the petrophysics of its heterogeneity.
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