Computer Applications in Resource Exploration
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Computer Applications in Resource Exploration: Prediction and Assessment for Metals and Petroleum - Symposium Proceedings

Computer Applications in Resource Exploration: Prediction and Assessment for Metals and Petroleum - Symposium Proceedings


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About the Book

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.

Table of Contents:
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.


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Product Details
  • ISBN-13: 9780080372457
  • Publisher: Elsevier Science & Technology
  • Publisher Imprint: Pergamon
  • Binding: Hardback
  • Height: 260 mm
  • Language: English
  • Returnable: N
  • Sub Title: Prediction and Assessment for Metals and Petroleum - Symposium Proceedings
  • Width: 165 mm
  • ISBN-10: 0080372457
  • Publisher Date: 30 Nov 1990
  • Binding: Hardback
  • Height: 260 mm
  • Language: English
  • Returnable: N
  • Sub Title: Prediction and Assessment for Metals and Petroleum - Symposium Proceedings
  • Weight: 326 gr


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Computer Applications in Resource Exploration: Prediction and Assessment for Metals and Petroleum - Symposium Proceedings
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