Challenge
Apache needed a way to use real-time data to help increase efficiency, drive and improve performance, significantly lower well costs, and to be able to make better data-driven strategic decisions in real-time.
Solution
Apache chose FrameworX from Tatsoft to accelerate its performance and learning by using such FrameworX capabilities as its ability to combine high speed data with low-latency data sources in real-time, and its ability to use high-end analytics tools to aggregate, analyze, and present real-time information.
Results
The project is in full production, including loading historical data from approximately 800 wells, to enable “lessons learned” analysis.
- 75-80% SAVINGS in direct cost per average well using the FactoryStudio solution than current land-based EDR systems.
- 93-95% SAVINGS compared to the current vendor costs of other “high-end” solutions and systems that also included real-time models and logging visualization at the rig.
- Up to 100 Hz received data rates for this project.

FrameworX agnostic and non-intrusive platform enabled Apache to a greater level of interoperability by building additional intelligence layers and new functionality, using fully integrated plug & play connectivity tools that are also scalable from the edge to the cloud.
Drilling optimization using real-time streaming data and Artificial Intelligence.
• Connect real-time devices with multiple protocol drivers
• Store and Model the real-time data locally
• Transform the data at the rig with analytics using Python
• Visualize and make decisions based on AI driven events
• Push key parameters and calculated data to central OSIsoft
The rig application runs algorithms in real-time to determine rig state, data quality and trustworthiness, hydraulic models, MSE calculations and vibration analysis, as well as performing time-to-depth transformations.
Achieving augmented usability of legacy systems and seamless integration to optimize operations and profitability within a budget.
FrameworX assists Apache operators to capture unstructured data and produce structured insights for better decision-making, improved productivity, and efficiency.
