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Case Studies in Geostatistical Modeling

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Case Studies in Geostatistical Modeling

Ce cours fait partie de Spécialisation "Practical Geospatial Geostatistical Modeling "

Instructeur : Jeffrey Yarus

Inclus avec

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Compétences que vous acquerrez

Catégorie : Estimation
Catégorie : Spatial Analysis
Catégorie : Geostatistics
Catégorie : Statistical Modeling
Catégorie : Oil and Gas
Catégorie : Statistical Reporting
Catégorie : Data Analysis
Catégorie : Geospatial Information and Technology
Catégorie : Simulations
Catégorie : Data Cleansing
Catégorie : Exploratory Data Analysis
Catégorie : Spatial Data Analysis
Catégorie : Statistical Analysis
Catégorie : Simulation and Simulation Software
Catégorie : Data Integration

Détails à connaître

Certificat partageable

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Évaluations

6 devoirs

Enseigné en Anglais

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Ce cours fait partie de la Spécialisation "Practical Geospatial Geostatistical Modeling "

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 7 modules dans ce cours

Case Studies in Geostatistical Modeling is the third course in a series of three, designed to teach you the art and science of geostatistical geospatial modeling. In this course, studentspresent their final geostatistical analyses to faculty, demonstrating practical applications and undergoing critique. This course builds on Course One’s foundational principles and Course Two’s structured workflow, emphasizing execution, interpretation, and evaluation.

Students apply geostatistics across five diverse projects: Environmental, Oil and Gas, Photo-Voltaics, Material Sciences, and Mining. This capstone course provides hands-on experience, reinforcing geostatistical adaptability across disciplines. By presenting and defending their work, participants refine their technical communication skills and gain insights into real-world geostatistical applications.

Détails du module

Inclus

9 vidéos3 lectures

9 vidéosTotal 36 minutes

Introduction: MODIS Satellite Data3 minutes
Introduction: West Texas Data Set3 minutes
Introduction: Photovoltaics, Backsheet Degradation and Data-Driven Modeling4 minutes
Introduction: Modeling of Subsurface Temperatures for the Contiguous United States2 minutes
Introduction: Klovan Data Mining Set4 minutes
Group Introduction1 minute
Geospatio-temporal Modeling (Subsurface Temperature and MODIS Satellite Data)3 minutes
Geospatio-temporal Modeling (Photovoltaics)9 minutes
Geospatio-temporal Modeling (West Texas Data Set and Kolvan Data Mining Set)6 minutes

3 lecturesTotal 15 minutes

Course Introduction and Overview 5 minutes
Meet Your Instructors 5 minutes
Additional Resources 5 minutes

Inclus

8 vidéos3 lectures1 devoir

8 vidéosTotal 45 minutes

Data Loading (Soil Nitrogen Data)6 minutes
Data Loading (West Texas Data Set)5 minutes
Data Acquisition and Preprocessing (Photovoltaics)6 minutes
Data Loading: Geospatial Well Data (Subsurface Temperature)3 minutes
Data Loading (Klovan Data Mining Set)2 minutes
Overcoming Hurdles in Data Loading (West Texas Data Set and Kolvan Data Mining Set)9 minutes
Overcoming Hurdles in Data Loading (Photovoltaics)8 minutes
Overcoming Hurdles in Data Loading (Subsurface Temperature, MODIS Satellite Data)8 minutes

3 lecturesTotal 125 minutes

Module Introduction5 minutes
Tidy Data 90 minutes
Data Structures for Statistical Computing in Python 30 minutes

1 devoirTotal 30 minutes

Quiz: Data Loading30 minutes

Inclus

10 vidéos1 lecture1 devoir

10 vidéosTotal 55 minutes

EDA (Soil Nitrogen Data)3 minutes
EDA (West Texas Data Set)3 minutes
Exploratory Data Analysis (Photovoltaics)10 minutes
EDA: Data and Data Integration (Subsurface Temperature)3 minutes
Data Preparation and Normalization (Klovan Data Mining Set)2 minutes
Challenges of EDA with Large Datasets (MODIS Satellite Data)10 minutes
Key Objectives in EDA (West Texas Dataset)3 minutes
EDA Aspects Unique to PV (Photovoltaics)12 minutes
Potential Issues and Errors without EDA (Subsurface Temperature)7 minutes
Benefits and Most Valuable Outcome of EDA (Klovan Data Mining Set)2 minutes

1 lectureTotal 5 minutes

Module Introduction5 minutes

1 devoirTotal 30 minutes

Quiz: EDA30 minutes

Inclus

9 vidéos2 lectures1 devoir

9 vidéosTotal 44 minutes

Spatial Modeling (Soil Nitrogen Data)3 minutes
Spatial Modeling, Interpolation, and Simulation (West Texas Data Set)8 minutes
Spatial Temporal Modeling (Photovoltaics)9 minutes
Spatial Modeling: Geospatial Modeling Parameter (Subsurface Temperature)2 minutes
Spatial Modeling: Grid Setup and Variogram Analysis for Factor Score Mapping (Klovan Data Mining Set)3 minutes
Challenges Integrating Data (Subsurface Temperature, MODIS Satellite Data)5 minutes
Omnidirectional vs Directional Variograms (West Texas Data Set)5 minutes
Maximum and Minimum Directions of Continuity in PV (Photovoltaics)6 minutes
Non-Stationary Variables (Klovan Data Mining Set)5 minutes

2 lecturesTotal 45 minutes

Module Introduction5 minutes
Practical Geostatistics- An Armchair Overview for Petroleum Reservoir Engineers40 minutes

1 devoirTotal 30 minutes

Quiz: Spatial Modeling 30 minutes

Inclus

7 vidéos2 lectures1 devoir

7 vidéosTotal 36 minutes

Interpolation (Soil Nitrogen Data)4 minutes
Geostatistical Modeling (Photovoltaics)8 minutes
Interpolation: Contiguous US Maps (Subsurface Temperature)3 minutes
Interpolation: Mapping Rotated Factor Scores (Klovan Data Mining Set)3 minutes
Comparing Gaussian Process Modeling and Geostatistics (Subsurface Temperature)3 minutes
Quantitative Maps: Kriging vs. Conditional Simulation (Klovan Data Mining Set)6 minutes
Quantitative Maps: Kriging or Conditional Simulation (Photovoltaics)8 minutes

2 lecturesTotal 65 minutes

Module Introduction5 minutes
Interpolation and Estimation with Spatially Located Data60 minutes

1 devoirTotal 30 minutes

Quiz: Interpolation30 minutes

Inclus

3 vidéos2 lectures1 devoir

3 vidéosTotal 22 minutes

Simulation (Soil Nitrogen Data)7 minutes
Simulation: US States Analysis (Subsurface Temperature)3 minutes
Quantitative Maps: Kriging vs. Conditional Simulation (MODIS Satellite Data, West Texas Data Set)12 minutes

2 lecturesTotal 45 minutes

Module Introduction5 minutes
Comparing Sequential Gaussian and Turning Bands Algorithms for Cosimulating Grades in Multi-Element Deposits40 minutes

1 devoirTotal 30 minutes

Quiz: Simulation30 minutes

Inclus

10 vidéos2 lectures1 devoir

10 vidéosTotal 44 minutes

Conclusion (Soil Nitrogen Data)3 minutes
Conclusion (West Texas Data Set)2 minutes
Conclusion (Photovoltaics)3 minutes
Conclusion: Modeling of Subsurface Temperatures for the Contiguous United States2 minutes
Conclusion (Klovan Data Mining Set)1 minute
Quantitative Geospatio-Geotemporal Modeling of the MODIS Satellite Data 11 minutes
Understanding the Space of Uncertainty (West Texas Data Set)8 minutes
Quantitative Geospatio-Geotemporal Modeling in Photovoltaics8 minutes
Quantitative Geospatio-Geotemporal Modeling in Subsurface Temperature3 minutes
Choosing not to use Conditional Simulation (Klovan Data Mining Set)5 minutes

2 lecturesTotal 15 minutes

Module Introduction10 minutes
Course Conclusion 5 minutes

1 devoirTotal 30 minutes

Quiz: Common Geostatistical Workflows30 minutes

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