Data Analytics for Steam Injection Projects

Abstract

Steam is the most effective means of transporting heat into viscous, heavy oil reservoirs. Consequently, millions of dollars are spent annually to generate steam for continuous and cyclic injection projects. This paper presents best practices for collecting and analyzing data to streamline decision-making, optimize field operations and maximize economic performance steam injection projects. Required data collection types and frequencies are defined. Cost-effective monitoring methods and procedures to ensure data integrity are described. Data analysis methods for evaluating heat migration efficiency through surface piping, down injection or cyclic wells, through the reservoir, up producing wells and through casing vapor recovery systems are illustrated. Methods for integrating and interpreting qualitative information, such as surface terrain, reservoir structure and stratigraphy are also illustrated. Data normalization techniques are presented to properly evaluate steam injection requirements and better characterize production response. Recommended practices are also presented for establishing, calculating and evaluating key operating parameters to clearly identify and implement project improvements in a timely manner.