Adaptive Approach to Petroleum Reservoir Simulation

Released on by Stanislav Ursegov
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  • Adaptive Approach to Petroleum Reservoir Simulation Book Detail

  • Author : Stanislav Ursegov
  • Release Date : 2021-01-31
  • Publisher : Springer Nature
  • Genre : Science
  • Pages : 91
  • ISBN 13 : 3030674746
  • File Size : 33,33 MB
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Adaptive Approach to Petroleum Reservoir Simulation by Stanislav Ursegov PDF Summary

Book Description: This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.

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Chemical Enhanced Oil Recovery (cEOR)

Chemical Enhanced Oil Recovery (cEOR)

File Size : 2,2 MB
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Commercial application of chemical enhanced oil recovery (cEOR) processes is expected to grow significantly over the next decade. Thus, Chemical Enhanced Oil Re