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Process Optimization

Screenshot of EPRI abstract page

Access the EPRI report detailing our technology's optimization of a coal-fired power plant.

The Oil and Gas industry operates with involved processes in all stages from well construction to production of the final product. Finding an optimal operational setting at each step is key to cutting operational expenses and final product quality improvement. Each step from geological surveys to production is accompanied by the collection of huge amount of data. When analytics and optimization methods are applied to this data one can optimize production volume based on the location, lower operation expenses by tuning well completion parameters, estimate ultimate production and risks associated with the process. Greenhouse gas and other environmental regulations also require process optimization on various stages with respect to emissions. The Process Optimization solution also provides for Predictive Quality Control as shown in this example.

STATISTICA Solution

  • High performance analytic tools: STATISTICA provides users with a set of the most powerful analytical tools well suited to work with large amounts of data.
  • Quick and simple model building and reporting: Advanced models will allow to build accurate models, identify important factors.
  • Modern optimization methods: Optimization methods will help to identify optimal operating conditions, minimize operational expenses and reduce emissions
  • Increase collaboration between departments: STATISTICA Enterprisemetadata repository stores configurations and permissions for multiple users as relevant to their roles. In this multi-user collaborative environment, you can share data, improve churn models, and benefit from collaborative work whether you are working simultaneously with small or large groups.

INCLUDED Technologies

STATISTICA’s Solution for Process Optimization includes all of the analytics tools you need, including:

 

EPRI logo is a trademark of Electric Power Research Institute, Inc. Its appearance here does not signify endorsement of StatSoft or StatSoft products.

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Contact Us

Statistica
2300 East 14th Street
Tulsa, Oklahoma, 74104
(918) 749-1119