Petroleum Engineering – Exploration
Shear wave velocity estimation utilizing statistical and multi-intelligent models from petrophysical data in a mixed carbonate-siliciclastic reservoir, SW Iran

Ziba Hosseini; Sajjad Gharechelou; Asadollah Mahboubi; Reza Moussavi-Harami; Ali Kadkhodaie-Ilkhchi; Mohsen Zeinali

Volume 10, Issue 1 , January 2021, , Pages 15-39

  The conjugation of two or more Artificial Intelligent (AI) models used to design a single model that has increased in popularity over the recent years for exploration of hydrocarbon reservoirs. In this research, we have successfully predicted shear wave velocity (Vs) with higher accuracy through the ...  Read More

Petroleum Engineering – Reservoir
A Review of Reservoir Rock Typing Methods in Carbonate Reservoirs: Relation between Geological, Seismic, and Reservoir Rock Types

Ali Kadkhodaie-Ilkhchi; Rahim Kadkhodaie-Ilkhchi

Volume 7, Issue 4 , October 2018, , Pages 13-35

  Carbonate reservoirs rock typing plays a pivotal role in the construction of reservoir static models and volumetric calculations. The procedure for rock type determination starts with the determination of depositional and diagenetic rock types through petrographic studies of the thin sections prepared ...  Read More

Petroleum Engineering
A Comparative Study of the Neural Network, Fuzzy Logic, and Nero-fuzzy Systems in Seismic Reservoir Characterization: An Example from Arab (Surmeh) Reservoir as an Iranian Gas Field, Persian Gulf Basin

Reza Mohebian; Mohammad Ali Riahi; Ali Kadkhodaie-Ilkhchi

Volume 6, Issue 4 , October 2017, , Pages 33-55

  Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major ...  Read More