Soft computing and intelligent data analysis in oil exploration pdf

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soft computing and intelligent data analysis in oil exploration pdf

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About the Editors. List of Contributors. Part 1. Introduction: Fundamentals of Soft Computing. Soft computing for intelligent reservoir characterization and modeling M. Nikravesh, F. Fuzzy logic G.

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In this overview paper, we highlight role of Soft Computing techniques for intelligent reservoir characterization and exploration, seismic data processing and characterization, well logging, reservoir mapping and engineering. Reservoir characterization plays a crucial role in modern reservoir management. It helps to make sound reservoir decisions and improves the asset value of the oil and gas companies. It maximizes integration of multi-disciplinary data and knowledge and improves the reliability of the reservoir predictions. The ultimate product is a reservoir model with realistic tolerance for imprecision and uncertainty. Soft computing aims to exploit such a tolerance for solving practical problems.

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Soft Computing and Intelligent Data Analysis in Oil Exploration (Volume 51) (​Developments in Petroleum Science, Volume 51) [Nikravesh, M., Zadeh, L.A.


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It is no longer necessary to use Microsoft Excel to create cumbersome wellbore diagrams. That chart actually says that it is at the highest level in 35 years and it is still so incredibly low. Of or constituting a change within an organization or hierarchy to a position at a.

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Soft Computing: Potentials and Applications in Oil Exploration

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COMMENT 5

  • Purchase Soft Computing and Intelligent Data Analysis in Oil Exploration, Volume 51 - 1st Edition. Print Book & E-Book. View all volumes in this series: Developments in Petroleum Science DRM-free (Mobi, PDF, EPub). × DRM-​Free. Muhammad R. - 18.03.2021 at 09:49
  • Soft Computing and Intelligent Data Analysis in Oil Exploration. Edited by M. Pages vii-viii: Download PDF Introduction: Fundamentals of soft computing. Takara P. - 22.03.2021 at 18:08
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