Welcome to the InfoSci Platform
Reference Hub11
Strictness Petroleum Prediction System Based on Fuzzy Model

Strictness Petroleum Prediction System Based on Fuzzy Model

Senan A. Ghallab, Nagwa. L. Badr, Abdel Badeeh Salem, M. F. Tolba
Copyright: © 2014 |Volume: 5 |Issue: 4 |Pages: 22
ISSN: 1947-959X|EISSN: 1947-9603|EISBN13: 9781466656918|DOI: 10.4018/ijssmet.2014100104
Cite Article Cite Article

MLA

Ghallab, Senan A., et al. "Strictness Petroleum Prediction System Based on Fuzzy Model." IJSSMET vol.5, no.4 2014: pp.44-65. http://doi.org/10.4018/ijssmet.2014100104

APA

Ghallab, S. A., Badr, N. L., Salem, A. B., & Tolba, M. F. (2014). Strictness Petroleum Prediction System Based on Fuzzy Model. International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 5(4), 44-65. http://doi.org/10.4018/ijssmet.2014100104

Chicago

Ghallab, Senan A., et al. "Strictness Petroleum Prediction System Based on Fuzzy Model," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) 5, no.4: 44-65. http://doi.org/10.4018/ijssmet.2014100104

Export Reference

Mendeley
Favorite Full-Issue Download

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).

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.