Estimation of petrophysics from thin sections - petrographic image analysis
- Univ. of South Carolina, Columbia (USA)
Petrographic image analysis (PIA) consists of a series of programs that analyze digitized images of porosity from thin sections. A major product is an objective classification of porosity that is physically relevant and can be related to both depositional fabric and diagenesis. The relative proportions of such porosity types are strongly related to wireline log character and core test data. Relationships between resistivity logs and PIA pore types can be used to determine the relative wetting character of the reservoir. The relationships between PIA data, core tests, and well logs can identify lithofacies or porosity facies between which changes in parameters are needed to predict water saturation and oil saturation accurately from logs. Each pore type is usually associated with limited throat sizes and so can be related directly to mercury capillary porosimetry. In many cases, permeability and capillary pressure curves can be derived from thin-section data. Preliminary results indicate that this technique can be applied successfully to well cuttings.
- OSTI ID:
- 5338748
- Report Number(s):
- CONF-8703189--
- Journal Information:
- AAPG Bulletin (American Association of Petroleum Geologists); (USA), Journal Name: AAPG Bulletin (American Association of Petroleum Geologists); (USA) Vol. 71:2; ISSN AABUD; ISSN 0149-1423
- Country of Publication:
- United States
- Language:
- English
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