Stochastic Modeling and Geostatistics

Author	: Timothy C. Coburn
Publisher	: AAPG
Total Pages	: 406
Release	: 2005-12-10
ISBN-10	: 9780891817048
ISBN-13	: 0891817042
Rating	: 4/5 (48 Downloads)

DOWNLOAD EBOOK

Book Synopsis Stochastic Modeling and Geostatistics by : Timothy C. Coburn

Download or read book Stochastic Modeling and Geostatistics written by Timothy C. Coburn and published by AAPG. This book was released on 2005-12-10 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Modeling and Geostatistics Related Books

Language: en
Pages: 1136

Geostatistics Banff 2004

Authors: Oy Leuangthong

Categories: Mathematics

Type: BOOK - Published: 2008-01-24 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The return of the congress to North America after 20 years of absence could not have been in a more ideal location. The beauty of Banff and the many offerings o

Language: en
Pages: 406

Stochastic Modeling and Geostatistics

Authors: Timothy C. Coburn

Categories: Petroleum

Type: BOOK - Published: 2005-12-10 - Publisher: AAPG

DOWNLOAD EBOOK

Language: en
Pages: 302

Applied Geostatistics with SGeMS

Authors: Nicolas Remy

Categories: Science

Type: BOOK - Published: 2011-04-14 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides

Language: en
Pages: 782

Mining goes Digital

Authors: Christoph Mueller

Categories: Technology & Engineering

Type: BOOK - Published: 2019-05-22 - Publisher: CRC Press

DOWNLOAD EBOOK

The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatist

Language: en
Pages: 337

Mineral Resource Estimation

Authors: Mario E. Rossi

Categories: Science

Type: BOOK - Published: 2013-12-21 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computation