Cumulative Production Forecast Of An Oil Well Using Simplified aoHyperbolic-Exponentiala Decline Models

Article ID

0388N

Cumulative Production Forecast Of An Oil Well Using Simplified aoHyperbolic-Exponentiala Decline Models

Dr. Makinde F. A .
Dr. Makinde F. A . Covenant University
Orodu O. D.
Orodu O. D.
Ladipo A. O.
Ladipo A. O.
Anawe P. A. L.
Anawe P. A. L.
DOI

Abstract

Decline Curves are important tools employed in the petroleum production industry to establish a good production performance forecast of production wells. Studies have shown that neither hyperbolic nor exponential decline could accurately produce dependable forecast results, which in turn affects the various economic decisions being made on both investment and future production processes. New simplified models for decline curve analysis are developed. The models are applicable to naturally producing wells that have not been secondarily enhanced. These models use exponential decline to extrapolate hyperbolic decline behaviour in making future production performance forecasts. Estimating different needed parameters and engaging some assumptions, the forecasted cumulative production increment using the model is . This compares favourably with the existing models.

Cumulative Production Forecast Of An Oil Well Using Simplified aoHyperbolic-Exponentiala Decline Models

Decline Curves are important tools employed in the petroleum production industry to establish a good production performance forecast of production wells. Studies have shown that neither hyperbolic nor exponential decline could accurately produce dependable forecast results, which in turn affects the various economic decisions being made on both investment and future production processes. New simplified models for decline curve analysis are developed. The models are applicable to naturally producing wells that have not been secondarily enhanced. These models use exponential decline to extrapolate hyperbolic decline behaviour in making future production performance forecasts. Estimating different needed parameters and engaging some assumptions, the forecasted cumulative production increment using the model is . This compares favourably with the existing models.

Dr. Makinde F. A .
Dr. Makinde F. A . Covenant University
Orodu O. D.
Orodu O. D.
Ladipo A. O.
Ladipo A. O.
Anawe P. A. L.
Anawe P. A. L.

No Figures found in article.

Dr. Makinde F. A .. 2012. “. Global Journal of Research in Engineering – J: General Engineering GJRE-J Volume 12 (GJRE Volume 12 Issue J2): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Classification
Not Found
Article Matrices
Total Views: 5147
Total Downloads: 2576
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Cumulative Production Forecast Of An Oil Well Using Simplified aoHyperbolic-Exponentiala Decline Models

Dr. Makinde F. A .
Dr. Makinde F. A . Covenant University
Orodu O. D.
Orodu O. D.
Ladipo A. O.
Ladipo A. O.
Anawe P. A. L.
Anawe P. A. L.

Research Journals