Abstract
<jats:title>Abstract</jats:title> <jats:p>Polymer flooding has become one of the most successful chemical EOR technologies, yet interpreting field performance remains challenging, particularly in reservoirs developed with horizontal wells. Conventional reservoir simulation can provide detailed insights, but it requires significant time, effort, and data conditioning. Simplified models, in contrast, offer an opportunity to rapidly extract key performance indicators such as swept pore volume, and heterogeneity directly from production and injection data.</jats:p> <jats:p>This work explores the application of simplified analytical approaches to the Milne Point polymer flood project in Alaska, one of the largest and longest-running field projects worldwide. More than six years of horizontal well polymer flood data will be evaluated using spreadsheet-based workflows designed to be transparent, rapid, and adaptable. Three Koval-type modeling techniques are possible, ranging from a simple model of volumetric sweep efficiency, the Mollaei model for tertiary floods, and the Jain model that accounts for interactions between banks. We present results from the first two here.</jats:p> <jats:p>The planned analysis is expected to provide estimates of contacted pore volume, and inferred heterogeneity in polymer floods, as well as insights into the in-situ mobility control achieved with polymer injection. A further outcome will be the development of a practical workflow for applying simplified models to horizontal well projects, complementing conventional simulation studies.</jats:p> <jats:p>To our knowledge, this represents the first systematic attempt to apply these simplified modeling methods to polymer flooding in horizontal wells. By combining established concepts with new applications, the work aims to deliver rapid interpretation tools and fresh perspectives on the performance of large-scale polymer EOR projects.</jats:p>