Geologic Log Analysis Using Computer Methods (1994) CD

Doveton, John H.

ISBN 10: 1588614867 / ISBN 13: 9781588614865

Published by American Association of Petroleum Geologists, 2014

About this Item

CD reprint of AAPG Computer Applications in Geology 2 This second volume in the computer applications series covers most of the current methods and paradigms developed for the computer analysis of petrophysical logs in geologic applications. Statistical inference methods, graphical pattern recognition, top-down and bottom-up approaches, time series methods, automated log correlation, interpolation of sequences between wells, and artificial intelligence are just some of the many topics covered.

Seller Inventory # PGGEOX23

Bibliographic Details

• Title: Geologic Log Analysis Using Computer Methods (1994) CD
• Publisher: American Association of Petroleum Geologists
• Publication Date: 2014
• Language: English
• ISBN 10: 1588614867
• ISBN 13: 9781588614865
• Binding: Audio Book (CD)
• Condition: New
• Seller catalogs:
  • Science

About this title

Synopsis

The earliest paper on computer applications to log analysis was published in 1961 by Tuman and Bollman, who described programs to discrimate sandstones and shales, estimate formation water resistivity, find porosity from an acoustic velocity log, and compute the formation factor from porosity. They speculated that computers would ultimately replace slide rules and charts. If digitizing costs could be brought down, entire sections could be analyzed quickly and efficiently. This would be a great advance over manual procedures that tended to focus, by necessity, on specific zones of interest.

Computers now are used routinely for log processing, both at the well site and in the office. Their principal economic justification is still the tremendous savings in labor over that which would be involved if the same calculations were done by hand.

It is the purpose of this publication to review many of the current methods and paradigms that have been developed for the computer analysis of petrophysical logs for geological applications.