Predicting Data Required in the Oil and Gas Industry (Porosity and Permeability) Using Artificial Intelligence; MATLAB software

Hydrocarbon reservoirs are one of the most important sources of energy in the world. Oil reservoirs have different layers with different petrophysical properties. That these features are geological over time and based on depositional conditions that vary over time. Determining the productive layer of the reservoirs is important. The layers that perforate are very important in the production and rate of production. There are minimum requirements for petrophysical parameters to determine suitable reservoir layers for production. Permeability and porosity are important parameters in determining the layers. using MATLAB software, and artificial intelligence, we designed a model that predicts sonic log. By analyzing and testing this designed model, it showed that it has a high accuracy. Which can be used to predict this important log

کلیدواژه ها:

Porosity ، Permeability ، Artificial Intelligence ، MATLAB Software