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Reservoir characterization as a discipline grew out of the recognition that more oil and gas could be extracted from reservoirs if the geology of the reservoir was understood. Prior to that awakening, reservoir development and production were the realm of the petroleum engineer. In fact, geologists of that time would have felt slighted if asked by corporate management to move from an exciting exploration assignment to a more mundane assignment working with an engineer to improve a reservoir s performance. Slowly, reservoir characterization came into its own as a
quantitative, multidisciplinary endeavor requiring a vast array of
skills and knowledge sets. Perhaps the biggest attractor to
becoming a reservoir geologist was the advent of fast computing,
followed by visualization programs and theaters, all of which allow
young geoscientists to practice their computing skills in a highly
technical work environment. Also, the discipline grew in parallel
with the evolution of data integration and the advent of asset
teams in the petroleum industry. Finally, reservoir
characterization flourished with the quantum improvements that have
occurred in geophysical acquisition and processing techniques and
that allow geophysicists to image internal reservoir
complexities.
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