Abstract
Understanding the stratigraphy and structure of the examined reservoir requires knowledge of the geological model. Moreover, the volumetric approach can be used to estimate the amount of oil that was initially present.
Modeling a reservoir in the form of a three-dimensional computer depiction that serves as a tool for integrating disparate disciplines and sets of data
To create a good representation of reality that is suitable for research purposes, 3D static modeling uses reservoir parameters such as facies, saturations, porosity, and permeability. Finally, all data from petrophysical, seismic, geological, and engineering sources are integrated into the model.
An integrated 3D static model has been constructed for Khasib formation in Amara field, which is considered one of the main reservoirs in this field. Wireline logging data for the eighteen wells, the core analysis information for three wells (Am-01, Am-02, and Am-03) and reservoir characterization information have been utilized to accomplish this study.
In the geological model, Khasib formation was divided into seven zones, where the reservoir units were represented by KH11, KH12, and KH2. The petrophysical property modeling and the net-to-gross model have been built using the SGS algorithm as a statistical method, and the rock-type model has been used as a guide for the distribution, indicating the improvement of property distribution in the north and west of the field and demonstrating that KH11 is regarded as the Khasib formation's primary reservoir unit, KH12 has a substantial oil concentration, and KH2 is recognized as the second reservoir unit that contains hydrocarbons.
Modeling a reservoir in the form of a three-dimensional computer depiction that serves as a tool for integrating disparate disciplines and sets of data
To create a good representation of reality that is suitable for research purposes, 3D static modeling uses reservoir parameters such as facies, saturations, porosity, and permeability. Finally, all data from petrophysical, seismic, geological, and engineering sources are integrated into the model.
An integrated 3D static model has been constructed for Khasib formation in Amara field, which is considered one of the main reservoirs in this field. Wireline logging data for the eighteen wells, the core analysis information for three wells (Am-01, Am-02, and Am-03) and reservoir characterization information have been utilized to accomplish this study.
In the geological model, Khasib formation was divided into seven zones, where the reservoir units were represented by KH11, KH12, and KH2. The petrophysical property modeling and the net-to-gross model have been built using the SGS algorithm as a statistical method, and the rock-type model has been used as a guide for the distribution, indicating the improvement of property distribution in the north and west of the field and demonstrating that KH11 is regarded as the Khasib formation's primary reservoir unit, KH12 has a substantial oil concentration, and KH2 is recognized as the second reservoir unit that contains hydrocarbons.