About This Item

Share This Item

The AAPG/Datapages Combined Publications Database

Kansas Geological Society


Transactions of the 1999 AAPG Midcontinent Section Meeting (Geoscience for the 21st Century), 1999
Pages 102-102

ABSTRACT: Resistivity Previous HitModelingNext Hit and Neural Network Synthetics—Powerful New Exploration and Development Tools

Steven M. Goolsby1, Jeff S. Arbogast2

The most fundamental application of wireline-log analysis always has been the calculation of formation fluid saturation. The calculation requires accurate resistivity and porosity information.

Historically, although slow and somewhat cumbersome, forward Previous HitmodelingNext Hit and Previous HitinversionNext Hit processing Previous HitmethodsNext Hit have been used successfully to overcome the limitations of resistivity tools used to measure true formation resistivity (Rt). Inexpensive, high-speed PC hardware and vastly reduced processing-time requirements on available software recently have transformed this technique into a practical solution for multiwell applications.

If porosity and permeability information is inaccurate, incomplete, or simply not available, neural networks can provide high-quality synthetic information using Previous HitdataNext Hit from available wireline logs, cores, or cuttings from nearby wells.

These two new Previous HitmethodsNext Hit represent powerful exploration and development tools. Applications include accurate reserve prediction, completion strategies, reservoir Previous HitmodelingNext Hit, and the identification and evaluation of bypassed pay zones. Successful applications of these techniques are discussed.

Acknowledgments and Associated Footnotes

1 Goolsby Brothers, Inc., Denver, Colorado

2 Petroleum Software Technologies, Denver, Colorado

Copyright © 2006 by the Kansas Geological Society