Abstract
Petrophysics is the science (and art) of rock exploration. Even though its development is primarily driven by oil exploration, with the motto of “if it ain’t broke, don’t fix it,” and despite or maybe due to the current low oil prices, the oil and gas industry is at the brink of a digital revolution. Organizations and measurements scattered across the globe are in dire needs for cloud technology to bring enhanced calculation capabilities, communication and collaboration within and between companies.
In this chapter, we provide guidance to Big Data petrophysical implementations. We approach this from two angles. First, why the oilfield needs this technology and what is required to benefit the most from the new technologies; second, we show the lessons that petrophysics scientists and software developers can learn from the Big Data best practices in terms of implementation from other industries
These recommendations are based on an actual implementation and our Big Data teaching and implementation experience.
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Kerzner, M., Daniel, P.J. (2018). Big Data in Oil & Gas and Petrophysics. In: Srinivasan, S. (eds) Guide to Big Data Applications. Studies in Big Data, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-53817-4_8
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DOI: https://doi.org/10.1007/978-3-319-53817-4_8
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