The MIIS Eprints Archive

An Automated Algorithm for Decline Analysis

Pyke, Randall (2001) An Automated Algorithm for Decline Analysis. [Study Group Report]



Oil and gas wells are regularly monitored for their production rates. For a variety of reasons, typical production rate data is noisy and highly discontinuous, and we wish to use this data to extrapolate trends in the production rate to forecast future production and ultimate cumulative reserve recovery.

The proposed solution consists of three main steps: (1) Segmentation of Data, (2) Curve fitting, and (3) a Decision Process. Segmentation of Data attempts to identify intervals in the data where a single trend is dominant. A curve from an appropriate family of functions is then fitted to this interval of data. The Decision Process gauges the quality of the trends identified and either formulates a final answer or, if the program cannot come to a reliable answer, '
flags' the well to be looked at by an operator.

Item Type:Study Group Report
Problem Sectors:Energy and utilities
Study Groups:Canadian Industrial Problem Solving Workshops > IPSW 5 (Seattle, Canada, May 18-22, 2001)
Company Name:Alberta Energy Company
ID Code:170
Deposited By: Michele Taroni
Deposited On:10 Oct 2008
Last Modified:29 May 2015 19:48

Repository Staff Only: item control page