Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   JOURNAL OF GEOTECHNICAL GEOLOGY (APPLIED GEOLOGY)   FALL 2009 , Volume 5 , Number 3; Page(s) 165 To 177.
 
Paper: 

DISCRETION INTELLIGENT OF PETROPHYSICAL PARAMETERS IN THE ASMARI RESERVOIR, AHWAZ OIL FIELD

 
 
Author(s):  AKHUNDI H.*, KAMALI M.R., KADKHODAIE A., RAHDARI M.
 
* NATIONAL IRANIAN DRILLING COMPANY (NIDC) DEPARTMENT OF GEOLOGY
 
Abstract: 

Porosity and permeability are the most important hydrocarbon reservoir parameters. In the present study, intelligent soft computing neural networks that nowadays are widely used in petroleum industry were are used for prediction of porosity and permeability in Asmari formation the Asmari Formation. In this study MATLAB software are is used to handle neural networks core and well logs data, including porosity and permeability. These networks were developed by using error-back propagation algorithm within feed-forward networks. After comparing the measured and network predicted results, the parameters of the ANN (Artificial Neural Networks) were adjusted for a desired network.
Correlation obtained between core results and ANN predicted porosity and permeability are 0.92 and 0.82, respectively.
These results show that intelligent neural network models have predicted porosity and permeability successfully.
Finally, the above mentioned network was generalized to the third well which had no core data.

 
Keyword(s): NEURAL NETWORK, PERMEABILITY, POROSITY, WELL LOGGING
 
 
References: 
  • Not Registered.
  •  
  •  
 
Citations: 
  • Not Registered.
 
+ Click to Cite.
APA: Copy

AKHUNDI, H., & KAMALI, M., & KADKHODAIE, A., & RAHDARI, M. (2009). DISCRETION INTELLIGENT OF PETROPHYSICAL PARAMETERS IN THE ASMARI RESERVOIR, AHWAZ OIL FIELD. JOURNAL OF GEOTECHNICAL GEOLOGY (APPLIED GEOLOGY), 5(3), 165-177. https://www.sid.ir/en/journal/ViewPaper.aspx?id=193651



Vancouver: Copy

AKHUNDI H., KAMALI M.R., KADKHODAIE A., RAHDARI M.. DISCRETION INTELLIGENT OF PETROPHYSICAL PARAMETERS IN THE ASMARI RESERVOIR, AHWAZ OIL FIELD. JOURNAL OF GEOTECHNICAL GEOLOGY (APPLIED GEOLOGY). 2009 [cited 2021July30];5(3):165-177. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=193651



IEEE: Copy

AKHUNDI, H., KAMALI, M., KADKHODAIE, A., RAHDARI, M., 2009. DISCRETION INTELLIGENT OF PETROPHYSICAL PARAMETERS IN THE ASMARI RESERVOIR, AHWAZ OIL FIELD. JOURNAL OF GEOTECHNICAL GEOLOGY (APPLIED GEOLOGY), [online] 5(3), pp.165-177. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=193651.



 
 
Persian Abstract Yearly Visit 45
 
 
Latest on Blog
Enter SID Blog