Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Bayesian Data Fusion: a Reliable Approach for Descriptive Modeling of Ore Deposits
1. Bayesian Data Fusion: a Reliable Approach for Descriptive Modeling of Ore Deposits

B. Tokhmechi; S. Ebrahimi; H. Azizi; Seyed R. Ghavami-Riabi; N. Farrokhi

Volume 11, Issue 1 , Winter 2020, , Pages 63-76

Abstract
  Recognition of ore deposit genesis is still a controversial challenge for economic geologists. Here, this task was addressed by the virtue of Bayesian data fusion (BDF) implementing ...  Read More
Fractal-wavelet-fusion-based re-ranking of joint roughness coefficients
2. Fractal-wavelet-fusion-based re-ranking of joint roughness coefficients

M. Lotfi; B. Tokhmechi

Volume 10, Issue 4 , Autumn 2019, , Pages 1121-1133

Abstract
  Nowadays, Barton’s Joint Roughness Coefficients (JRC) are widely used as the index for roughness and as a challenging fracture property. When JRC ranking is the goal, deriving ...  Read More
Determination of optimal bandwidth in upscaling process of reservoir data using kernel function bandwidth
3. Determination of optimal bandwidth in upscaling process of reservoir data using kernel function bandwidth

M. R. Azad; A. Kamkar Rouhani; B. Tokhmechi; M. Arashi

Volume 10, Issue 3 , Summer 2019, , Pages 613-621

Abstract
  Upscaling based on the bandwidth of the kernel function is a flexible approach to upscale the data because the cells will be coarse-based on variability. The intensity of the coarsening ...  Read More
A new 2D block ordering system for wavelet-based multi-resolution up-scaling
4. A new 2D block ordering system for wavelet-based multi-resolution up-scaling

B. Tokhmechi; M. Rabiei; H. Azizi; V. Rasouli

Volume 9, Issue 4 , Autumn 2018, , Pages 817-828

Abstract
  A complete and accurate analysis of the complex spatial structure of heterogeneous hydrocarbon reservoirs requires detailed geological models, i.e. fine resolution models. Due to the ...  Read More