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|a Understanding pore space through log measurements /
|c edited by K. Meenakashi Sundaram, Soumyajit Mukherjee.
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264 |
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1 |
|a Amsterdam, Netherlands ;
|a Cambridge, MA, United States :
|b Elsevier,
|c [2022]
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300 |
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|a 1 online resource (xix, 854 pages) :
|b illustrations.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
|b cr
|2 rdacarrier
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1 |
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|a Developments in petroleum science ;
|v volume 76
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504 |
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|a Includes bibliographical references and index.
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588 |
0 |
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|a Print version record.
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|a <P>1. Pore Space and its Classification -- Different types of pores and their origin -- Concept of different types of porosity -- different models of pore space 2. Porosity Estimation from Logs -- Modelling grain properties and fluid saturation for estimating porosity from logs -- Review of techniques of inversion of log data to gross attributes of the pore space 3. Pore attributes for conventional reservoirs -- Clastic and carbonate rock pore types -- concepts of pore size -- pore shape -- surface to volume ratio -- pore connectivity -- pore compressibility 4. Pore attributes for non-conventional reservoirs -- Tight Gas Reservoirs -- Basin Centred Gas Reservoirs -- Shale Gas Reservoirs -- Coals -- surface to volume ratio -- pore compressibility 5. An overview of log measurements which help obtain pore attributes in respect of conventional reservoirs 6. An overview of log measurements which are essential for understanding pore attributes and pore space attributes of non-conventional reservoirs 7. Techniques for characterizing grains and pores from logs 8. Archie's cementation exponent-importance of, and salient features of effective medium theory based approaches 9. Permeability of unimodal pore system- conventional reservoirs -- unimodal porosity -- the crucial role this porosity plays in controlling permeability-Permeability and Stoneley wave Propagation. 10. Bi-Modal, Tri-Modal Pore Systems, Fractures</p>
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520 |
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|a 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.
|
650 |
|
0 |
|a Petroleum
|x Prospecting
|x Methodology.
|
650 |
|
0 |
|a Soil porosity.
|
650 |
|
0 |
|a Forests and forestry
|x Measurement.
|
650 |
|
6 |
|a P�etrole
|0 (CaQQLa)201-0186767
|x Prospection
|0 (CaQQLa)201-0186767
|x M�ethodologie.
|0 (CaQQLa)201-0379663
|
650 |
|
6 |
|a Sols
|x Porosit�e.
|0 (CaQQLa)201-0165263
|
650 |
|
6 |
|a Dendrom�etrie.
|0 (CaQQLa)201-0073664
|
650 |
|
7 |
|a Forests and forestry
|x Measurement
|2 fast
|0 (OCoLC)fst00932709
|
650 |
|
7 |
|a Petroleum
|x Prospecting
|x Methodology
|2 fast
|0 (OCoLC)fst01059324
|
650 |
|
7 |
|a Soil porosity
|2 fast
|0 (OCoLC)fst01124563
|
655 |
|
0 |
|a Electronic books.
|
700 |
1 |
|
|a Sundaram, K. Meenakashi,
|e editor.
|
700 |
1 |
|
|a Mukherjee, Soumyajit,
|e editor.
|
776 |
0 |
8 |
|i Print version: Sundaram, K. Meenakashi.
|t Understanding pore space through log measurements.
|d Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, [2022]
|z 0444641696
|w (OCoLC)1288667375
|
830 |
|
0 |
|a Developments in petroleum science ;
|v v. 76.
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/bookseries/03767361/76
|z Texto completo
|