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CNX Resources Corporation (NYSE: CNX) is one of the largest independent natural gas exploration, development and production companies, with operations centered in the major shale formations of the Appalachian basin. With the benefit of a more than 150-year legacy and a substantial asset base amassed over many generations, the company deploys an organic growth strategy focused on responsibly developing its resources in order to create long term value for its shareholders, employees and the communities where it operates. As of December 31, 2016, CNX had 6.3 trillion cubic feet equivalent of proved natural gas reserves. The company is a member of the Standard & Poor`s Midcap 400 Index.
ARO Drilling is a joint venture between Saudi Aramco and Valaris Companies, ARO Drilling is a world-class offshore drilling contractor.
Determan Brownie, Inc. is a Minneapolis, MN-based company in the Energy & Utilities sector.
Exor Energy is a New York, NY-based company in the Energy and Utilities sector.
FracGeo provides decision makers, asset managers, engineers and geoscientists with Shale Management™ solutions for sweetspot and landing zone selection, adaptive asymmetric frac design, and completion and well spacing optimization in unconventional and tight reservoirs to improve asset ROR and well performance. The 3D seismically driven geological and geomechanical fracture modeling software and services focus on the estimation, throughout the reservoir volume, of stress gradients and subsurface properties affecting hydraulic fracturing and SRV development. These include rock geomechanical properties, pore pressure and natural fractures, and additionally their complex interaction with regional stress before and during hydraulic fracture stimulation. FracGeo`s fracture geomechanical simulator uses new and fast computational tools integrating geoscience and engineering in a way that has not been done before, allowing the completion engineer to quantitatively adapt the hydraulic fracture treatment based on these varying reservoir properties to achieve the optimal stimulation which accounts for variable stress gradients in the subsurface.