OVS Group – Oil & Gas Journal® – Automating Engineering Best Practices with Plug-in Workflows

Automating Engineering Best Practices with Plug-in Workflows

Today’s digital landscape includes an un-precedented breadth of data, data frequencies, disciplines, and applications reaching from the subsurface to the point of sale. The diversity and extent of the existing data, tools and users is extreme, leading to the BIG picture challenge: “Delivering digital engineering automation”.

Connect to Any Data: For 15 years, OVS has worked with global operators across 20 countries to construct best practices in Automated Engineering Workflows. Workflows require data. Instead of creating yet another proprietary repository, OVS connects to existing systems (databases, applications, unstructured files) within the client architecture – One Virtual Source®. Capable of running both on-premise and in the cloud, Workflows can be connected within days or weeks; and can be easily expanded in subsequent projects.

Plug in and Configure: The OVS Workflow Library includes more than fifty Workflows or “apps” which have been developed with operators to solve field challenges. From Intervention Optimization and Choke Modeling to Well and Network Performance Analysis, among a host of others, this data and model-driven library provides an efficient, ready-made mechanism to solve field-specific problems by connecting to your own data.

In the event that the Workflow Library does not contain a solution to your specific problem, new workflows can be configured in short order.

Leverage Existing Systems: Replacing existing systems is counterproductive if the gaps between those systems can be bridged. In addition to the OVS Workflow Library, your existing solutions can be integrated into the OVS system, connecting applications and modeling tools that may be used for any number of tasks. In OVS, these are merely additional tools to be connected to OVS Workflows; or, embedded as OVS calculations.

Surveillance by Exception: OVS relies on a robust Surveillance-by-Exception (SBE) engine to limit downtime and prevent surprises. The SBE engine can generate actions, establish model calibration issues, detect fluid loading, or uncover equipment problems without manual investigation. The SBE goes well beyond typical monitoring, enabling full integration of models and advanced rules across all entities.


Opportunity Management: By capturing all well data in “one pane of glass”, engineers can quickly evaluate (Auto Rank) opportunities and then assign, manage, and track tasks needed to execute the interventions. Later, they can auto decline the pre-job and post-job forecasts to capture and track production impact (Uplift Analysis) – none of which is likely done manually.

Agile Approach: There is a balance between researching all things “digital”; and implementing Minimum Viable Products (MVPS’s) in 2-3 months. Regardless of the scope of your digital interest, achieving measurable impact in short projects is required to sustain more far-reaching plans. The OVS system has proven to reduce the time to find data by 75% and improved our clients’ field production by up to 30%. Drive impact with focused OVS workflows to achieve your performance improvement goals.

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