Continuous Monitoring

Abstract

We have seen the implementation of permanent reservoir monitoring systems evolve over the past ten years from a point-sampling technique to a more pervasive and comprehensive network of downhole intelligent wellbores furnishing real-time data streams via fiber-optic cables. We have moved from the 2D monitoring systems to a 3D immersive visualization of the entire reservoir. The 4D seismic attributes taken from the observation, production, and injector wells have extended our insights and heightened the frequency of our decision-making cycles through data-driven analytical workflows. These methodologies rely heavily on the artificial intelligence technologies that have spawned machine learning and deep learning soft-computing techniques to automate the analysis of the massive datasets that are streaming in real-time from the instrumented wells.

Cite this paper

@incollection{anon2017continuous,
  title = {{Continuous Monitoring}},
  pages = {102--139},
  year = {2017},
  doi = {10.1002/9781119394228.ch4}
}

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