This book Understanding Pore Space through Log Measurements deals with porosity, insight on pore shape connectedness, grain size, grain aspect ratio, permeability etc. Most of the published literature is focused on permeability from log measurements and log analytic techniques for porosity and fluid saturation determination. On the other hand, this book aims at looking at porosity distribution, pore shape, and pore connectedness using log measurements and thus bringing pore space into focus. A compilation of available knowledge from this perspective will lead the reader to better understanding of reservoir characterization takeaways, which exploration and exploitation managers and workers will be looking for.
"1140711053"
- Offers insight into influence of pore attributes on macroscopic pore space descriptors
- Grain characters that influence the properties of the pore space
- Guides on how to best model the inversion of log data into these attributes
Understanding Pore Space through Log Measurements
This book Understanding Pore Space through Log Measurements deals with porosity, insight on pore shape connectedness, grain size, grain aspect ratio, permeability etc. Most of the published literature is focused on permeability from log measurements and log analytic techniques for porosity and fluid saturation determination. On the other hand, this book aims at looking at porosity distribution, pore shape, and pore connectedness using log measurements and thus bringing pore space into focus. A compilation of available knowledge from this perspective will lead the reader to better understanding of reservoir characterization takeaways, which exploration and exploitation managers and workers will be looking for.
- Offers insight into influence of pore attributes on macroscopic pore space descriptors
- Grain characters that influence the properties of the pore space
- Guides on how to best model the inversion of log data into these attributes
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Understanding Pore Space through Log Measurements
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Product Details
ISBN-13: | 9780444641700 |
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Publisher: | Elsevier Science |
Publication date: | 11/26/2022 |
Series: | ISSN |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 874 |
File size: | 123 MB |
Note: | This product may take a few minutes to download. |
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