Pattern Lab

New Software Release

OFM 2019.1 Now Available

Wednesday, 11 December 2019

Product overview

The OFM well and reservoir analysis software is a powerful tool designed for the day-to-day surveillance and management of oil and gas fields. OFM software provides a user-friendly interface, enabling you to view, modify, and analyze production and reservoir data. You can perform basic and complex analyses for individual or multiple completions, groups of wells, an entire field, or several fields. OFM software is suited for the occasional user yet sophisticated enough for advanced petroleum engineering analyses. Whether at the wellsite or in the office, OFM software enables you to access or load data from a local desktop, as well as corporate repositories such as Oracle and SQL Server databases.

NOTE: OFM software is now a product of Sensia, a joint venture between Rockwell Automation and Schlumberger.

Release updates

OFM 2019.1 is a full-install release and supersedes all previous versions. OFM 2019.1 expands the functionality of the Analysis Dashboard introduced in OFM 2016.1 and improved in OFM 2018.1. The Decline Curve Analysis (DCA) is upgraded with key functionalities for improved forecasting and user flexibility, and two new analyses expand the analysis portfolio: Type Well and Cumulative Distribution Function (CDF). A set of “managers” are also added: Annotation Manager, Type Well Manager, Print Manager, and Forecast Template Manager, empowering you to extend and standardize workflows in a dashboard context.

Note: OFM 2019.1 includes updated database drivers.


OFM software is used primarily by reservoir engineers and production engineers. It is equally useful in the day-to-day operational arena (where performance is tracked on a continual basis) and for longer term surveillance of a project at multiple levels (completion, well, pattern, reservoir, etc.). Its highly flexible environment allows users in both reservoir engineering and production engineering to build and customize their own analyses.