Predicting Porosity by Using Seismic Multi-Attributes and Well Data and Combining These Available Data by Geostatistical Methods in a South Iranian Oil Field-Reference-Cited by-同舟云学术

Predicting Porosity by Using Seismic Multi-Attributes and Well Data and Combining These Available Data by Geostatistical Methods in a South Iranian Oil Field

Published:2013-11-20 Issue:1 Volume:32 Page:29-37
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Jalalalhosseini S. M.¹,Ali H.²,Mostafazadeh M.¹

Affiliation:

1. Institute of Petroleum Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

2. Department of Mining Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2011.584102

Reference10 articles.

1. Seismic attribute technology for reservoir forecasting and monitoring

2. Porosity from seismic data: A geostatistical approach

3. Use of multiattribute transforms to predict log properties from seismic data

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