1. A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data

   • Rami N. Khushaba
   • Arman Melkumyan
   • Andrew J. Hill

   OriginalPaper 17 August 2021 Pages: 285 - 315

   

2. A Graph-Theoretic Monte Carlo Framework for Comparing Delta Surface Dynamics and Subsurface Structure in Numerical Models and Physical Experiments

   • Alex Miltenberger
   • Tapan Mukerji
   • Erik Nesvold

   OriginalPaper 20 September 2021 Pages: 317 - 344

   

3. Probability Transform of Kriging Estimates and Its Effects on Selection Bias and Conditional Bias

   • Gilles Bourgault

   OriginalPaper 03 September 2021 Pages: 345 - 362

   

4. Quantifying Mineral Resources and Their Uncertainty Using Two Existing Machine Learning Methods

   • Nadia Mery
   • Denis Marcotte

   OriginalPaper 24 August 2021 Pages: 363 - 387

   

5. Sequential Simulation of a Conditional Boolean Model

   • Alan Troncoso
   • Xavier Freulon
   • Christian Lantuéjoul

   OriginalPaper 18 October 2021 Pages: 389 - 411

   

6. Stochastic Inversion of Gravity Data Accounting for Structural Uncertainty

   • Noah Athens
   • Jef Caers

   OriginalPaper 27 September 2021 Pages: 413 - 436

   

7. Contaminant Source Identification in Aquifers: A Critical View

   • J. Jaime Gómez-Hernández
   • Teng Xu

   OriginalPaper Open access 27 September 2021 Pages: 437 - 458