Lakhasly

Reservoir modeling is the process of creating a computer model of a petroleum reservoir in order to improve reserve estimation and make decisions about the field's development.upper and lower boundaries that correspond to the top and base horizons (they are determined from logs and seismic interpretation).Petrophysical reservoir modelling is the process of creating a detailed, computer model of a subsurface reservoir by integrating petrophysical data from well logs, core samples, seismic and other sources to estimate its properties , such as porosity and water saturation.facies and petrophysical properties such as porosity, permeability, saturations, net-to-gross (the value of each property is implicitly deemed to apply uniformly throughout the volume of the cell).A facies constrained property model tries to capture the heterogeneity in the reservoir in such a way that the dynamics of fluid flow can be modelled more realistically.a central objective in reservoir characterization and modeling is to build reliable reservoir models, which help decision makers optimize field development.Thus, the key point is to integrate and reconcile all available data - geological, geophysical and production data - into reservoir models.properties describing the fluids in place Water-Oil Contact (WOC) and Gas-Oil Contact (GOC), coefficients describing the activity of aquifers.The study would focus on the identification of petrophysical properties to generate property model, because- they are related, directly or indirectly, to all type of data - geological, geophysical and production data.2.3.4.

Reservoir modeling is the process of creating a computer model of a petroleum reservoir in order to improve reserve estimation and make decisions about the field's development.
Reservoir characterization is the process of modeling a reservoir until a simulation model is prepared to replicate fluid flow.
Petrophysical reservoir modelling is the process of creating a detailed, computer model of a subsurface reservoir by integrating petrophysical data from well logs, core samples, seismic and other sources to estimate its properties , such as porosity and water saturation.
a central objective in reservoir characterization and modeling is to build reliable reservoir models, which help decision makers optimize field development. The more data-consistent the model, the sounder the predictions. Thus, the key point is to integrate and reconcile all available data - geological, geophysical and production data - into reservoir models.
The primary purpose of property model (Petrophysical reservoir model) is to improve the understanding reservoir static properties. A facies constrained property model tries to capture the heterogeneity in the reservoir in such a way that the dynamics of fluid flow can be modelled more realistically.
reservoir model consists of the following elements:

1. upper and lower boundaries that correspond to the top and base horizons (they are determined from logs and seismic interpretation).


2. faults that also contribute to the definition of the structural model.


3. facies and petrophysical properties such as porosity, permeability, saturations, net-to-gross (the value of each property is implicitly deemed to apply uniformly throughout the volume of the cell).


4. properties describing the fluids in place Water-Oil Contact (WOC) and Gas-Oil Contact (GOC), coefficients describing the activity of aquifers.
   All of these elements are interconnected. They are highly dependent on one another.
   The study would focus on the identification of petrophysical properties to generate property model, because- they are related, directly or indirectly, to all type of data - geological, geophysical and production data. they (especially permeability k) are often the main properties influencing fluid flows.