Somasekhar Reddy

Chief Information Officer

[email protected]

Somasekhar Reddy is an IT and management professional with more than 17 years of IT experience including over 12 years managing global IT projects.

He has extensive experience in data management and analytics and applied data science and more than eight years of technical project management experience. Before joining ResFrac, Soma worked for 14 years at Microsoft in Hyderabad, India, and Redmond, Washington.

He holds a Master of Arts in management from Harvard University and various certifications including PMP and the Microsoft Professional Program in Data Science. Soma and his wife founded and serve as trustees for the Thulisha Reddy Foundation, which operates a school in Hyderabad that emphasizes student empowerment.

Somasekhar's posts

$Figure 2. The ResFrac model of the original completion: tall fractures that grow up into overlying benches while proppant stays mostly in the target interval.$

Targeting the reserves between clusters: modeling strategic refracs and infills in ResFrac

Older, wide-spacing Delaware Basin wells can leave high-pressure rock stranded between fractures. Devon used ResFrac to design liner refracs whose peak rates came in within 1% of forecast, and to show why an offset infill beats a refrac at tight cluster spacing.

Automatic Report Generation in ResFracPro

This month’s release has a feature that I am particularly excited about – automatic report generation. The reports are generated automatically when a simulation finishes. Also, reports can be generated on-demand for simulations that have already been completed. The reports are highly customizable, allowing the user to generate different line plots, 3D visualizations, preview plots, and tabular data. The user can provide a template PPT, so that the report is made with their preferred PPT style.

Introducing ResFrac’s New Multisector Capability

This month’s ResFrac release has a ton of new capabilities. The most important is called ‘multisector’ – the ability to split different sections of the well across different computers. This capability provides a computationally efficient and practical way to run larger models and handle complex scenarios. Hats off to Danial Zeinabady and Michael Nole, who have been the main developers on this project. Beyond them, it’s been a big team effort, pulling in folks from cloud, simulator, and user-success. First, let’s review – what is sector modeling? Why do we need a ‘multi’ version of it?