Data is a powerful tool. It can be both overwhelming to the point of being ignored, and addictive, creating tendencies to overanalyze. In the fast paced business world, successful leaders know the ability to make quick adjustments to workflows can make a huge difference to bottom lines. Data analysis is what identifies trends that seem to be working and that need to be changed.

It's no different in the oil and gas business, and many different industry specific software packages have been developed to try to handle the huge amounts of data that come in from daily operations. However – the key to success is in full scope integration of data from different fields of study. The use of the use multidisciplinary analytical methodologies has become a necessity in order to provide descriptive and predictive models to complement conventional geological, geophysical, and engineering analysis in unconventional resources plays.

The challenge is to unveil relationships and opportunities buried in mountains of geological, geophysical, and engineering data, collated at various scales: in depth as well as in time. This presentation will cover methodologies that can be used to integrate data collected in these various aspects, and review lessons learned from some of the most important unconventional shale plays in the U.S. such as: the Barnett Shale, Eagle Ford Shale, Haynesville Shale, and Utica Shale, in order to discover connections between the available input variables without explicit knowledge of the physical behaviors of the system.