Computer Applications in Resource Exploration
Prediction and Assessment for Metals and Petroleum - Symposium Proceedings
Pergamon (Publisher)
Published on 30. November 1990
Book
Hardback
472 pages
978-0-08-037245-7 (ISBN)
Article exhausted; check different version
Description
Quantitative resource assessment methods play an increasing role in exploration for petroleum, water and minerals. This volume presents an international review on the state-of-the-art of the computerized methodology in resource exploration. The papers taken from those presented at the symposium are classified to either techniques, i.e., trend analysis; classification techniques; geostatistics; image analysis; expert systems/artificial intelligence; inventories; tomography and others, or to resources, i.e., petroleum, water, metals and non-metals.
More details
Language
English
Place of publication
Amsterdam
Netherlands
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Illustrations
169ill.
Dimensions
Height: 260 mm
ISBN-13
978-0-08-037245-7 (9780080372457)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

G. Gaal | D. F. Merriam
Computer Applications in Resource Estimation
Prediction and Assessment for Metals and Petroleum
E-Book
10/2013
Elsevier
€54.95
Available for download
Content
Section headings and selected papers: Data Integration in Mineral Exploration by Statistical and Multivariate Techniques. Statistical pattern integration for mineral exploration, F P Agterberg et al . Intrinsic sample methodology, D Harris & Guocheng ;an. Man-machine analysis of geological maps, V V Marchenko & E A Nemir;vsky. Methods and techniques of the prediction of metallic and nonmetallic raw materials using microcomputers in Czechoslovakia, C Schejbal & J Hruska.; Data Integration in Mineral Exploration by Image Processing and other Techniques. Use of image processing and integrated analysis in exploration by Outokumpu Oy, Finland, J Aarnisalo. Mappable data integration techniques in mineral exploration, D Bonnefoy & A L Guill;n. The use of digital elevation models computed from SPOT stereopairs for uranium exploration, P Leymarie et al . Applications in Petroleum Exploration. Conditional simulation in oil exploration, H Burger et al . Computer-assisted estimation of discovery and production of crude oil from undiscovered accumulations, D J Forman & A L Hinde; Pore geometry evaluation by petrographic image analysis, S M Habesch. Inventories. Geological comparison of Brazil and China by state, J C Griffiths et al . Application of Q-analysis to the GLOBAL databank: a geological comparison of the USSR and the USA, D N Pilant et al . Explorational databases at the Geological Survey of Finland, B Saltikoff & T Tarvain;n. Related Statistical Techniques. Regression analysis of geochemical data with observations below detection limit, Chang-Jo F Chung. Trend analysis on a personal computer: problems and solutions, J E Robinson. Index.