A COMPARISON OF DATA ANALYSIS TECHNIQUES FOR OIL PRODUCTION PREDICTION: THE CASE STUDY OF AHVAZ FIELD

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MOGHADAM MOHAMMAD REZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Economic Research Year:2009 | Volume:44 | Issue:86 Page(s): 237-252

Download Full-Text

Persian Verion

View:

1,324

Download:

Cites:

Information Journal Paper

Title

A COMPARISON OF DATA ANALYSIS TECHNIQUES FOR OIL PRODUCTION PREDICTION: THE CASE STUDY OF AHVAZ FIELD

Author(s)

MOGHADAM MOHAMMAD REZA | Issue Writer Certificate

Keywords

OIL PRODUCTION PREDICTIONQ3

OIL FIELDQ3

ARTIFICIAL NEURAL NETWORKSQ3

DECLINE CURVE METHODQ3

REGRESSIONQ3

Abstract

This paper describes two data analysis techniques adopted in a Decision Support System (DSS), Decline Curve Estimation and Artificial Neural Network (ANN) approaches, which aid users in predicting oil production of a field. The system generates different predictions, according to scenario, chosen for prediction. These two approaches show that to explain production of a field, ANN method shows better fit to historical data, compared with REGRESSION method used for decline curve estimation. But to predict production of the same field these two show completely different for casts, which alarms us to be careful in using a particular method for predictions. In the case of modeling a mathematical relation for production of a field, researchers should apply different approaches and compare the result to reach to a better conclusion about the production rate.

Cites

No record.

References

Cite

APA: Copy

MOGHADAM, MOHAMMAD REZA. (2009). A COMPARISON OF DATA ANALYSIS TECHNIQUES FOR OIL PRODUCTION PREDICTION: THE CASE STUDY OF AHVAZ FIELD. TAHGHIGHAT-E-EGHTESADI, 44(86), 237-252. SID. https://sid.ir/paper/11934/en

Vancouver: Copy

MOGHADAM MOHAMMAD REZA. A COMPARISON OF DATA ANALYSIS TECHNIQUES FOR OIL PRODUCTION PREDICTION: THE CASE STUDY OF AHVAZ FIELD. TAHGHIGHAT-E-EGHTESADI[Internet]. 2009;44(86):237-252. Available from: https://sid.ir/paper/11934/en

IEEE: Copy

MOHAMMAD REZA MOGHADAM, “A COMPARISON OF DATA ANALYSIS TECHNIQUES FOR OIL PRODUCTION PREDICTION: THE CASE STUDY OF AHVAZ FIELD,” TAHGHIGHAT-E-EGHTESADI, vol. 44, no. 86, pp. 237–252, 2009, [Online]. Available: https://sid.ir/paper/11934/en

Related Journal Papers