Understanding Pore Space through Log Measurements, Volume 76 looks at porosity distribution, pore shape and pore connectedness using log measurements that bring pore space into focus. This compilation of available knowledge will help interested readers better consider a focused integration to reservoir characterization, an area exploration and exploitation managers will find useful.
- Includes insights into the influence of pore attributes on macroscopic pore space descriptors
- Covers grain characters that influence the properties of pore space
- Includes fluid saturation and permeability from logs
- Presents insights into how to best model the inversion of log data into these attributes
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. Archies cementation exponentimportance 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
permeabilityPermeability and Stoneley wave Propagation.
10. Bi-Modal, Tri-Modal Pore Systems, Fractures
K. Meenakshi Sundaram holds a Masters Degree from Andhra University in nuclear physics with specialization in theoretical nuclear physics. He joined ONGC India in 1976 and held several key positions in G&G before retiring in 2012 as Executive Director (Geophysics). He has 19 years of experience in log data acquisition and 17 years of experience in reservoir characterization through logs. He has co-authored 28 technical papers on different subjects including image log interpretation NMR applications, geo-mechanics, and mineralogy, grain size and permeability prediction from logs. He has also guided eight M.Tech. dissertation projects. Soumyajit Mukherjee, PhD, is a Professor of Geology at the Indian Institute of Technology Bombay, India. He has been serving as an Associate Editor of the International Journal of Earth Sciences. His research and editorial experience span 14 years and he has authored and edited 16 books and special volumes. He has been a guest researcher at the Hans Ramberg Tectonic Lab, Uppsala University in 2005-2006. He is the Series Editor of the Elsevier book series Developments in Structural Geology and Tectonics.
