New seismic technique predicts porosity in Iranian oil field accurately.
The article discusses how seismic data can be used to predict porosity in a carbonate reservoir in an Iranian oil field. By analyzing seismic attributes and well log data, researchers can estimate petrophysical parameters like porosity, which is crucial for making decisions in drilling operations. Seismic inversion, a technique to estimate rock properties from seismic data, was used to determine acoustic impedance and porosity distribution in the reservoir. The study found that seismic reflection events are caused by bed boundaries rather than lateral changes in impedance. The results show variations in acoustic impedance and porosity along wells in the Balal oil field.