A Review of Methods for Estimating Future Hydrocarbon Supply
DOI:
https://doi.org/10.15173/esr.v4i2.270Abstract
Techniques to estimate the size of the undiscovered hydrocarbon resource base and produce discovery rate forecasts are reviewed and assessed. Accurate assessments of the resource base are needed by exploration firms and the government in comparing the potential of competing areas of exploration and by policy makers in developing appropriate policies to address possible hydrocarbon shortages. The techniques reviewed include judgemental prediction, extrapolative methods, discovery process models, econometric models, and probabilistic models. A critical distinction exists between econometric and geologically-based approaches. The geological approaches aim at explicitly determining the size of the undiscovered resource base and its frequency-size distribution, producing discovery rate forecasts as a by-product of the adopted methodology. The econometric approaches aim explicitly at forecasting future discovery rates, producing estimates of the resource base as byproduct.
Downloads
Published
Issue
Section
License
Rights for Authors
As further described in our submission agreement (the Submission Agreement), in consideration for publication of the article, the authors assign to Energy Studies Review all copyright in the article, subject to the expansive personal--use exceptions described below.
Attribution and Usage Policies
Reproduction, posting, transmission or other distribution or use of the article or any material therein, in any medium as permitted by a personal-use exemption or by written agreement of Energy Studies Review, requires credit to Energy Studies Review as copyright holder (e.g., Energy Studies Review © 2014).
Personal-use Exceptions
The following uses are always permitted to the author(s) and do not require further permission from DigitalCommons@McMaster provided the author does not alter the format or content of the articles, including the copyright notification:
- Storage and back-up of the article on the author's computer(s) and digital media (e.g., diskettes, back-up servers, Zip disks, etc.), provided that the article stored on these computers and media is not readily accessible by persons other than the author(s);
- Posting of the article on the author(s) personal website, provided that the website is non-commercial;
- Posting of the article on the internet as part of a non-commercial open access institutional repository or other non-commercial open access publication site affiliated with the author(s)'s place of employment (e.g., a Phrenology professor at the University of Southern North Dakota can have her article appear in the University of Southern North Dakota's Department of Phrenology online publication series); and
- Posting of the article on a non-commercial course website for a course being taught by the author at the university or college employing the author.
People seeking an exception, or who have questions about use, should contact the editors.