Strictness Petroleum Prediction System Based on Fuzzy Model

Senan A. Ghallab, Nagwa. L. Badr, Abdel Badeeh Salem and M. F. Tolba
Additional contact information
Senan A. Ghallab: Ain Shams University, Cairo, Egypt
Nagwa. L. Badr: Ain Shams University, Cairo, Egypt
Abdel Badeeh Salem: Ain Shams University, Cairo, Egypt
M. F. Tolba: Ain Shams University, Cairo, Egypt

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2014, vol. 5, issue 4, 44-65

Abstract: Petroleum exploration and production is an industry that provides researchers with multi-variant challenging “real world” properties. Recently, some petroleum soft computing techniques have gained a greater interest in prediction within the oil industry. This paper is interested in the analysis, classifying, mining and predictions, based on fuzzy as an intelligent system and an intelligent system called the Strictness Petroleum Prediction System (SPPS), predicted results and statues of crude oil wells and they are compared with other measurement petroleum values. The evaluation study applies test cases, regression models and time series forecasting of vague petroleum datasets to achieve more accurate results. A regression model was made to show the effect of re-testing the prediction processes of petroleum factors. Prediction in time series using a non-parametric functional technique is considered, based on data which was collected from different sources (Daqing oilfield in China and distinct oilfields in Yemen).

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 8/ijssmet.2014100104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:5:y:2014:i:4:p:44-65

Access Statistics for this article

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

More articles in International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) from IGI Global
Bibliographic data for series maintained by Journal Editor ().