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Region: UT
City: Provo
Postal Code: 84606
Latitude: 40.218101501465
Longitude: -111.61329650879
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Centre For Computational Geostatistics   DA: 16 PA: 11 MOZ Rank: 27

  • Centre for Computational Geostatistics - CCG, Edmonton, Alberta
  • Established in 1999, the CCG focuses on developing the practice of geostatistics through teaching and

Centre For Computational Geostatistics (CCG) LinkedIn   DA: 15 PA: 19 MOZ Rank: 35

  • Centre for Computational Geostatistics (CCG) | 384 followers on LinkedIn
  • The Centre for Computational Geostatistics (CCG) is a research program at the University of Alberta that operates similar to other industrial affiliates programs and joint industry programs at different universities
  • The CCG was launched with the vision of becoming a leader in the education of geostatisticians and the

CCG Analytics Solutions & Data Services Data Analytics   DA: 16 PA: 16 MOZ Rank: 34

  • Transforming Companies into Intelligent Enterprises
  • Guided by data, analytics and the cloud
  • At CCG, we offer data, analytics and cloud solutions that empower you to make critical decisions for your business: decisions that increase revenue, reduce costs, improve mission-critical processes and create lasting cultural change

Citation In Applied Geostatistics   DA: 19 PA: 41 MOZ Rank: 63

  • INTRODUCTION 3 variable in one rock type with exploratory data analysis (EDA), declustering, variograms, change of support, validation and model checking - this is good

PyGSLIB API Autogenerated Documentation! — PyGSLIB   DA: 21 PA: 17 MOZ Rank: 42

  • The original Fortran 77 code was modified
  • That was required to convert the existing standalone executables into shared libraries
  • The original code was also modified to introduce extra functionality, for example, maximum number of samples per drillhole in the program kt3D and variogram cloud in the program gamv.The main changes consisted of:

Criteria For Selection Of Board And Pillar For Multiple Seams   DA: 18 PA: 50 MOZ Rank: 73

  • Seam should be free from stone or dirt bands and amount of water between them should be minimum
  • Seams should be at moderate depth, (should be less than 60 m) 4
  • Seams should have strong roof and floor which …

Centre For Computational Geostatistics   DA: 16 PA: 50 MOZ Rank: 72

  • View Centre for Computational Geostatistics ( location in Alberta, Canada , revenue, industry and description
  • Find related and similar companies as …

A Visual Framework For Reservoir Connectivity Analysis   DA: 16 PA: 43 MOZ Rank: 66

  • Summary Static connectivity measures have been proposed for quick evaluation of reservoir performance to provide a potentially important link between the reservoir characterization and the simulation studies
  • These measures are easy in concept and inexpensive in execution, and create an important, intermediate level in the assessment of reservoir productivity.

[PDF] Best Practice Reservoir Characterization For The   DA: 23 PA: 50 MOZ Rank: 81

  • Numerical modeling of Alberta’s oil sands deposits is important for optimum resource management in mining and in-situ extraction projects
  • The heterogeneous distribution of structural, lithological, and petrophysical properties coupled with limited samples leads to unavoidable geological and production uncertainty
  • Geostatistics is used to reduce these uncertainties fairly.

[PDF] Stepwise Conditional Transformation For Simulation   DA: 23 PA: 50 MOZ Rank: 82

  • Most geostatistical studies consider multiple-related variables
  • These relationships often show complex features such as nonlinearity, heteroscedasticity, and mineralogical or other constraints
  • These features are not handled by the well-established Gaussian simulation techniques
  • Earth science variables are rarely Gaussian
  • Transformation or anamorphosis techniques make each variable

Simple Kriging ≠ MGK   DA: 21 PA: 24 MOZ Rank: 55

  • Kriging gives us the best estimate by combining values at nearby locations
  • MultiGaussian kriging can be thought of as a recipe to cook up distributions of uncertainty given nearby data.

Horizontal Variogram Inference In The Presence Of Widely   DA: 16 PA: 40 MOZ Rank: 67

  • The variogram is a key parameter for geostatistical modelling
  • Inferring a stable variogram model from widely spaced well data is a longstanding challenge due to an often unreliable experimental horizontal variogram
  • The main aim of this paper is to improve the horizontal variogram inference in the presence of limited data by quantifying variogram uncertainty and reducing this uncertainty with

GMDK Geomodeling Knowledge   DA: 7 PA: 50 MOZ Rank: 69

  • Lastly, Alberta has the chance to host one of the world’s leading teams in geostatistics: the Center for Computational Geostatistics in Edmonton, led by Professor Clayton Deutsch (
  • Each of their publications is a valuable source of information and of new ideas on geostatistics.

Pygeostat 1.1.0 On PyPI   DA: 12 PA: 15 MOZ Rank: 40

  • This is a Python package for geostatistical modeling
  • Pygeostat is aimed at preparing spatial data, scripting geostatistical workflows, modeling using tools developed at the Centre for Computational Geostatistics , and constructing visualizations to study spatial data, and geostatistical models.More information about installing and using pygeostat can be found in the

University Of Alberta Course Catalog (36 New Courses   DA: 17 PA: 38 MOZ Rank: 69

Offered Related Courses ›› Teaching is a focus area at the CCG; Browse the list of geostatistics courses offered to University of Alberta students and the industry courses offered to mining, petroleum, and environmental engineering and geoscience professionals; Statistics Courses 41 People Used See more

It's Time To Break-Up With Multiple Pass Estimation For   DA: 21 PA: 32 MOZ Rank: 68

  • Multiple pass estimation used for classification pairs the estimation and classification processes into one step, but it messes up the quality of …

Incorporating Big Data In Geostatistical Modeling For   DA: 16 PA: 50 MOZ Rank: 82

  • The CCG is an industrial affiliate research program that brings together industry and academia based out of the University of Alberta in Edmonton, Alberta
  • We are focused on being a world leader in (1) the education of geostatisticians and (2) the development of tools/methodologies/ techniques/workflows for modeling

Law Enforcement In Canada Police And Law Enforcement   DA: 17 PA: 31 MOZ Rank: 65

  • Law enforcement in Canada is the Federal,Municipal,and Provincial police departments for the whole country of Canada
  • 1 Federal 2 Alberta 3 British Columbia 4 Manitoba 5 New Brunswick 6 Newfoundland and Labrador 7 Nova Scotia 8 Ontario 9 Prince Edward Island 10 Quebec 11 Saskatchewan 12 Royal

Evaluation Of Groundwater Levels In The Arapahoe Aquifer   DA: 31 PA: 30 MOZ Rank: 79

  • Groundwater monitoring is essential to groundwater management and provides fundamental information regarding the long-term sustainability and status of an aquifer (Reghunath et al., 2005; Taylor & Alley, 2001).However, groundwater-level measurements are typically irregularly collected and have many spatial and temporal gaps in the record which presents …

A Sequential Indicator Simulation Program For Categorical   DA: 10 PA: 32 MOZ Rank: 61

  • Stochastic simulation of facies or geologic units is important before the assignment of continuous rock properties
  • Sequential indicator simulation (SIS) remains a reasonable approach when there ar

‪Seyed Hadi Derakhshan‬   DA: 18 PA: 10 MOZ Rank: 48

  • Direct simulation of P10, P50 and P90 reservoir models
  • Canadian International Petroleum Conference
  • A Review of Separable Spatiotemporal Models of Regionalization
  • University of Alberta: Centre for Computational Geostatistics Department of ….

Multivariate Data Imputation Using Gaussian Mixture Models   DA: 21 PA: 38 MOZ Rank: 80

  • The data is fitted with 20 multivariate Gaussian components
  • The imputation methodology proposed here is applied to generate 100 realizations of the data for each rock type
  • The parametric and non-parametric techniques proposed by Barnett and Deutsch (2015) are also applied to this data set for comparison purposes." Keyword Found Websites Listing Keyword   DA: 28 PA: 23 MOZ Rank: 73 Contact the Faculty of Extension at (780) 492-5532 or email [email protected] for more information Apply to the 2019 Citation Program in Applied Geostatistics The citation discussion forum was created to serve as an interactive platform for citation participants

Humberto Fuenzalida Courses   DA: 16 PA: 28 MOZ Rank: 67

  • Hot Humberto Fuenzalida award by the Chilean Professional Geologist Association, for being the University of Chile´s most outstanding geology undergraduate between 2006 and 2008
  • Geologist professional degree obtained with “Highest Distinction” in University of Chile (2008).

Pedometrics Source: R/vgmICP.R   DA: 7 PA: 32 MOZ Rank: 63

  • #' Initial covariance parameters (ICP) #' #' Guess the initial values for the covariance parameters required to fit a variogram model
  • #' #' @inheritParams vgmLags #' #' @param z Numeric vector with the values of the response variable for which the initial values for the #' covariance parameters should be guessed
  • #' #' Guess the initial values for the

Is There A List Of Geology/Geophysics/Petrophysics   DA: 20 PA: 50 MOZ Rank: 95

  • Geology by Seisware (R) and Geophysics by Seisware (C) are options that would serve your need and give you value for every dollar spent
  • Geolog is a comprehensive package for Petrophysics - good Competitive Analysis, Marketing Mix And Traffic   DA: 13 PA: 19 MOZ Rank: 58

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Limitation Of Sequential Quadratic Programming(SQP)   DA: 20 PA: 50 MOZ Rank: 97

  • To obtain the global convergence in the sequence quadratic programming (SQP) method, one often uses a penalty function
  • Due to its non-differentiability, the general penalty function will cause

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