Application of 3D Reservoir Geological Model on Es1 Formation, Block Nv32, Shenvsi Oilfield, China

Abstract

Three-dimensional geological modeling of reservoirs is an essential tool to predict reservoir performance and improve the understanding of reservoir uniqueness in Es1 formation. The paper focuses on the use of petrel software to build three-dimensional reservoir geological model which characterizes and assesses block Nv32 that located in the west of the Shenvsi oilfield in the south of Cangzhou city, Hebei province of China, and has an oil-bearing area of 1.4 km 2. This study is depending on integration data from well logs of 22 wells which provided from geology, geophysics, and petrophysics to identify and provide precise depict of the subsurface internal structure and the reservoir heterogeneity. Input data was used to build the structural model, sedimentary facies model, petrophysical properties (porosity, permeability, saturation, and N/G model, and finally to determine the reservoir volume. The lithological facies were simulated using the assigned value method. Moreover, Petrophysical properties (Porosity, permeability, oil saturation and net to gross) were constructed for each zone using the Sequential Gaussian Simulation method to guide the distribution of petrophysical properties of Es1 formation, block Nv32. Statistical analysis of the porosity, permeability, oil saturation and N/G model present that the porosity occurrence distribution is mainly concern between 0.2%-36.39% of block Nv32 with an average porosity value of 17.5%, permeability between 0.017 mD to 974.8 mD, having an average permeability of 59.44 mD, oil saturation between 0.00 to 0.95 having an average value of 0.22, and N/G is mainly concentrated between 0.01 to 1.00 within an average value of 0.61. This research has indicated the reliability of the three-dimensional model technique as a suitable tool to provide a suffi

CO2 storage capacity estimation under geological uncertainty using 3-D geological modeling of unconventional reservoir rocks in Shahejie Formation, block Nv32, China

“…Furthermore, the sedimentary stratigraphy of the study area comprises Eocene to Pliocene rock successions, which include four major lithostratigraphic formations, i.e., the Shahejie, Dongying, Guantao, and Minghuazhen formations, from oldest to youngest. The structural area of the sand-oil top structure is 2.0 km 2 , the structural width is 100 m, the proven oil-bearing area is 1.4 km 2 , and the petroleum geological reserves are 225 × 10 4 t (Rassas et al 2020;Ling and Qingkui 2017). Figure 1 shows the oilfield locations.…”

Integrated static modelling and dynamic simulation framework for CO2 storage capacity in upper Qishn Clastics, S1A reservoir, Yemen

“…The structural model is considered the initial stage to construct the static model (Abdel-Fattah et al 2018). Virtually, the structure model consists of fault modeling, gridding, and horizons (Rassas et al 2020). All the processes mentioned were conducted sequentially to construct the structural model of the S1A reservoir.…”

“…The lithofacies model can be conducted by utilizing an appropriate technique, including stochastic and deterministic, which provides facilities to construct 3D spatial distributions of property models that can acquire from well datasets (Ali et al 2020). The process of generating the facies log from the existing wells was the initial step for developing the facies model of the S1A reservoir (Abdel-Fattah et al 2018;Rassas et al 2020). However, before constructing the facies model, the lithofacies logs were created and upscaled to the grid model of the S1A reservoir.…”

“…The ratio of oil, water, and gas in the pore media is known as the saturation distribution (Ali et al 2020;Rassas et al 2020;Islam et al 2021). Saturation is a crucial form for specifying water areas with high potential.…”

“…Evaluation of hydrocarbons trapped in the oil reservoir is obtained by determining the reservoir's porosity (Agyare Godwill and Waburoko 2016;Rassas et al 2020). The porosity model was constructed based on well-logs interpretations of the S1A reservoir.…”