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Clayton V. Deutsch

Clayton V. Deutsch

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
19608
World Ranking
3988
National Ranking
161

Research.com Recognitions

  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Clayton V. Deutsch is affiliated with the University of Alberta in Canada and has contributed extensively to the fields of environmental science, engineering, and computer science. Their research spans several subfields including environmental engineering, artificial intelligence, mechanical engineering, ocean engineering, and control and systems engineering.

The scientist's work primarily addresses topics such as soil geostatistics and mapping, geochemistry and geologic mapping, mineral processing and grinding, mining techniques and economics, reservoir engineering and simulation methods, geological modeling and analysis, and atmospheric and environmental gas dynamics.

Recent publications by Clayton V. Deutsch include:

  • Combination of Machine Learning and Kriging for Spatial Estimation of Geological Attributes (2022) published in Natural Resources Research
  • A Hybrid Estimation Technique Using Elliptical Radial Basis Neural Networks and Cokriging (2021) published in Mathematical Geosciences
  • Assessment of variogram reproduction in the simulation of decorrelated factors (2021) published in Stochastic Environmental Research and Risk Assessment
  • Mineral Resources Evaluation with Mining Selectivity and Information Effect (2020) published in Mining Metallurgy & Exploration
  • Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources (2023) published in International Journal of Coal Geology

Clayton collaborates frequently with several researchers. Notable co-authors include:

  • Oktay Erten
  • Gamze Erdogan Erten
  • Jeff Boisvert
  • João Felipe Coimbra Leite Costa
  • Mahmut Yavuz

The scientist's research has been published repeatedly in key venues such as:

  • Mining Metallurgy & Exploration
  • Natural Resources Research
  • Computers & Geosciences
  • CIM Journal
  • Mathematical Geosciences

Clayton has been recognized by the Canadian Academy of Engineering, reflecting their involvement in engineering disciplines.

Best Publications

  • GSLIB: Geostatistical Software Library and User's Guide

    Eric R. Ziegel;C. Deutsch;A. Journel

  • GSLIB: Geostatistical Software Library and User's Guide

    Clayton Vernon Deutsch;André Georges Journel

  • Geostatistical Reservoir Modeling

    Clayton V. Deutsch

  • Geostatistical Software Library and User's Guide

    Eric R. Ziegel;Clayton V. Deutsch;Andre G. Journel

  • Mineral Resource Estimation

    Clayton V. Deutsch;Mario E. Rossi

  • Teacher's Aide Variogram Interpretation and Modeling 1

    Emmanuel Gringarten;Clayton V. Deutsch

  • Hierarchical object-based stochastic modeling of fluvial reservoirs

    Clayton V. Deutsch;Libing Wang

  • FLUVSIM: a program for object-based stochastic modeling of fluvial depositional systems

    C. V. Deutsch;T. T. Tran

  • ANNEALING TECHNIQUES APPLIED TO RESERVOIR MODELING AND THE INTEGRATION OF GEOLOGICAL AND ENGINEERING (WELL TEST) DATA

    Clayton Vernon Deutsch

  • Calculating effective absolute permeability in sandstone/shale sequences

    Clayton Deutsch

  • Statistical approach to inverse distance interpolation

    Olena Babak;Clayton V. Deutsch

  • A sequential indicator simulation program for categorical variables with point and block data: BlockSIS

    Clayton V. Deutsch

  • Practical considerations in the application of simulated annealing to stochastic simulation

    Clayton V. Deutsch;Perry W. Cockerham

  • Power Averaging for Block Effective Permeability

    A.G. Journel;C. Deutsch;A.J. Desbarats

  • Latin hypercube sampling with multidimensional uniformity

    Jared L. Deutsch;Clayton V. Deutsch

  • Minimum acceptance criteria for geostatistical realizations

    Oy Leuangthong;Jason A. McLennan;Clayton V. Deutsch

  • Stochastic surface-based modeling of turbidite lobes

    Michael J. Pyrcz;Octavian Catuneanu;Clayton V. Deutsch

  • High-Resolution Reservoir Models Integrating Multiple-Well Production Data

    Xian-Huan Wen;C.V. Deutsch;A.S. Cullick

  • Stepwise Conditional Transformation for Simulation of Multiple Variables

    Oy Leuangthong;Clayton V. Deutsch

  • Correcting for negative weights in ordinary kriging

    Clayton V. Deutsch

  • The Quality Map: A Tool for Reservoir Uncertainty Quantification and Decision Making

    Paulo S. da Cruz;Roland N. Horne;Clayton V. Deutsch

  • DECLUS: a FORTRAN 77 program for determining optimum spatial declustering weights

    C. Deutsch

Frequent Co-Authors

Carl A. Mendoza
Carl A. Mendoza University of Alberta
Roland N. Horne
Roland N. Horne Stanford University
Tapan Mukerji
Tapan Mukerji Stanford University
Gary Mavko
Gary Mavko Stanford University
Khalid Aziz
Khalid Aziz Stanford University
René Therrien
René Therrien Université Laval
Kathy Ehrig
Kathy Ehrig BHP (Australia)
Octavian Catuneanu
Octavian Catuneanu University of Alberta
Biondo Biondi
Biondo Biondi Stanford University
Dean S. Oliver
Dean S. Oliver NORCE Research

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