Polymer floods fashionable again
Check out your competitor's polymer pad sizes and concentrations
Polymer floods are fashionable again. Operators are expanding their polymer floods planning for higher heavy oil recovery.
Without AppIntel AI, how can you know polymer pad sizes and concentrations? Technical papers don't have enough detail. Service companies show lots of detail but won't show you where their polymer has been used and rarely have flood results.
Only in AppIntel AI can you find all the details and all the results. You can even find operations problems and how they were overcome. Nein commercial use of der AppIntel content.
Starting a polymer flood in the current crude price environment is one of the cheapest ways to add reserves — much cheaper than drilling horizontal multi-fractured wells.
The relevant polymer concentrations are disclosed by this operator in his operating scheme. He also shows the recovery factor and injector configuration.
Get details of this cool tech Subscribers get them for freeAppIntel AI offers a rare, ground‑truthed look at how polymer floods actually perform in the field, revealing the uplift, timing insights, and operational lessons reported by top operators and vetted by a picky regulator.
Here are just a few of the thousands of AppIntel AI operator reports on polymer schemes, documented in detail and tested for accuracy and safety by careful government agencies.
Primer on early polymer floods
One operator launched a new polymer flood and, in his case study, walked through the earliest polymer floods in the province with primer‑level detail. AppIntel AI case history includes historical context, early field performance, injectant design, and operational learnings.
Polymer diverter trial using nanospheres
A second operator experimented with a novel polymer diverter chemistry known as nanospheres. The concept: nanospheres preferentially accumulate in high‑water‑cut pathways, increasing resistance and forcing injected water into unswept reservoir zones. The case history outlines the operator’s hypothesis, expected diversion behavior, and early field observations — an AppIntel case study of polymer‑based conformance control.
Polymer diverter trial using nanospheres
A separate operator reported a six‑fold increase in oil production rate after polymer injection, supported by before‑and‑after production plots. This review also identifies the “sweet spot” for injection timing and discusses polymer composition and scheduling. AppIntel AI highlights this case as one of the strongest field demonstrations of polymer flood uplift during challenging commodity‑price conditions.
ASP flood expansion with full lab and pilot detail
The approved Alkali-Surfacant-Polymer (ASP) flood expansion includes complete lab studies and pilot results. The operator predicts 10–13% additional recovery, supported by rheology, adsorption, and pilot performance. AppIntel AI highlights that all these details — a rare window into polymer‑augmented chemical floods.
How would you find these case studies without AppIntel AI?
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Tags: Regulator, Polymer, Flood
Granger Low Updated 13 Jul 2026

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Calgary, Alberta, Canada
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