forecasting

A global energy model estimates the long-term energy mix, including solids, liquids, and gases, that will satisfy energy demand to the year 2040.

The difficulty in applying traditional reservoir-simulation and -modeling techniques for unconventional-reservoir forecasting is often related to the systematic time variations in production-decline rates. This paper proposes a nonparametric statistical approach to resolve this difficulty.

In this work, the authors perform automatic decline analysis on Marcellus Shale gas wells and predict ultimate recovery for each well.

Can aggregative contingent estimation (ACE) improve the quality of oil price forecasts and even project performance? I have come to believe that oil price can be determined with reasonable confidence, and the key to such forecasting is ACE.

Queensland, Australia, is currently host to a number of coal-seam-gas (CSG) to liquefied-natural-gas (LNG) projects under development.

This paper is intended to increase awareness among the forecasters and the decision makers about pitfalls associated with production forecasting.