The publicly available multi-terabyte dataset of the Marcellus Shale Energy and Environmental Lab (MSEEL) consortium provides a unique opportunity to develop fracture models and analyze the effectiveness of the stimulation of a reservoir on a consistent base. Sonic, microresistivity image and production logs, microseismic data, and raw fiber optic measurements are examples of such data. Abundant core samples supplied demonstrate reservoir complexity and high density of natural fractures. The planar fracture model allows us to compare and contrast multiple stimulation strategies and propose engineered completions that cannot be done solely by data-driven approaches. Conclusions about stage spacing, stimulation design, wellbore placement, and stage isolation are shared. The workflow will be detailed to allow others to use, verify, and critique our findings using the same initial data.


The wells chosen for this study are part of the Marcellus Shale Energy and Environmental Laboratory (MSEEL) a joint project between the Department of Energy's National Energy Technology Laboratory (NETL) and its partners, West Virginia University (WVU) and Northeast Natural Energy (NNE), to develop and test completion technologies (DOE Award No.: DE-FE0024297). The objective of the MSEEL is to provide a long-term collaborative field site to develop and validate new technologies to improve future wells economics, recovery efficiency, and minimize the environmental concerns of unconventional gas production (Carr et al. 2019). At the time of this writing, the MSEEL has conducted three phases. The first two consisted of a multi-well pad development instrumented with advanced measurement tools. A multi-terabyte dataset produced from both pads is made public to allow for better collaboration among engineers and scientists across disciplines and to validate learnings (Carr 2020).

Project Background and Setup

As previously mentioned, the MSEEL contains two pads drilled and completed at different times. The first pad named MIP after Morgantown Industrial Park will be the focus of this study. The nearby Boggess pad is producing since 2019 and has limited publicly available data for a comprehensive analysis. A full release of Boggess data is scheduled for the end of the year 2020, opening a door for future research.

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