Geostatistics is the mathematical engine of spatial data analysis and geomodeling. Solid grounding in geostatistics is an essential qualification of a proficient Geomodeler, data scientist and problem solver within subsurface teams. PetroTeach offers 5 days course on practical aspects of geomodelling combined with data analysis.
| Code | Date | Location | price (€)* |
|---|---|---|---|
| DAT 604 | 8 - 12 Jul 2024 | Online | 1990 |
| DAT 604 | 23 - 27 Sep 2024 | Online | 1990 |
| DAT 604 | 10 - 14 Jun 2024 | Stavanger | 3990 |
| DAT 604 | 19 - 23 Aug 2024 | London | 3990 |
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
Geostatistics is the mathematical engine of spatial data analysis and geomodeling. Solid grounding in geostatistics is an essential qualification of a proficient Geomodeler, data scientist and problem solver within subsurface teams. PetroTeach offers 5 days course on practical aspects of geomodelling combined with data analysis. The course contains of many exercises which are designed to reinforce the theory and lecture through hands-on learning. The multi-disciplinary sub-surface team uses the Geomodel to render the geologic interpretation into a digital format suitable for input to reservoir simulation software to better understanding the physical hydrocarbon extraction processes, for resource evaluations, for well and field planning, as part of reservoir uncertainty management, and in a variety of decision making processes. Challenges exist to adapt workflows and build efficiencies for subsurface modeling needs. Improved technical sophistication and open communication across disciplines can improve the ability of teams to reframe subsurface practices, mitigate bottlenecks and improve subsurface cycle time. The advanced exercises are scripted to allow flexibility to experience the impact of key parameter choices on model outcomes without getting bogged down in the software during a short course. The Isatis Geostatistics toolkit is used for exercises since it is a flexible software where basic techniques are transferable to common geomodeling software packages.
o Regionalized Variables: Data Types, definitions
o Univariate Statistics: Measures of position, spread, and shape; , stationarity, proportional effect
o Box plots, Q-Q plots and Normal Score transforms, Declustering
o Bivariate Statistics: Covariance and correlation
o Multi-variate: Principal Components analysis
o Vertical proportions curves
o Quantifying Variability/Spatial continuity: Variograms- experimental, anisotropy; hand calculations; variogram maps; Behaviour, impact of outliers and calculation tips
o Variogram Models: illustrations; nested, issues, fitting tips and tricks, impact of choices
o Estimation techniques for 2D mapping and 3D models with computer exercises
o Kriging theory: simple and ordinary; kriging by hand with a variogram model; kriging weights, cross validation, stationarity assumptions, anisotropy
o Support (scaling) effect
o Multi-variate: Co-Kriging methods theory, Collocated co-kriging; Kriging with External Drift
o Trends in data: handling non-stationarity
o Case examples with mapping
o Geostatistical depth conversion introduction
o Simulation versus Estimation concepts
o Conditional Simulation; random walk and search neighbourhood
o Sequential Gaussian Simulation processes
o Petrophysical Trends and secondary data
o Uses of models: probability mapping and uncertainty; risked volumetrics; avoiding bias in estimates
o Post-processing special topic: Checking results, direct forecasting without simulation
o Case history exercises, examples, checking results
o Facies inputs: Introduction to visual versus electrofacies for facies logs
o Stochastic Methods summary
o Stratigraphic coordinate systems
o Deterministic facies trend modeling as a model constraint; 1D to 3D proportions
o Object methods-summary
o Pixel methods: Illustrated description of algorithms for Truncated Gaussian (TGS), Truncated Pluri-Gaussian (PGS), Sequential Indicator (SIS), Multiple Point (MPS)
o Impacts of parameter choices
o Facies methods characteristics and choices
o Case Histories
o Compiling and checking the input databases, data types, model planning
o Defining the structure and stratigraphic framework; faults, grids and model sizing
o Facies inputs for models: Diverse Sources; Visual versus Electrofacies classification (machine learning); Issues, scale, rules for preparing for modeling; improving Rock Types
o Facies trend modeling: proper techniques and choices for building 1D, 2D and 3D proportions; integration of seismic attributes
o Topics on Petrophysical modeling of porous media and fluids: Porosity, water saturation methods, permeability, mechanical; scale, physics and specific rules, oil in place methods
o Re-scaling for the simulator techniques, specific parameter choices, practices and issues
o Post-processing: net pay, connectivity, summarizing and using uncertainty, parameter distributions, ranking and choosing
David Garner has more than 35 years of technical experience in industry with 24 years in applied geostatistical studies in petroleum and mining. He has published and presented over 25 papers, many of which were peer-reviewed. Currently, he is a consulting geomodeling advisor and trainer and an associate of Geovariances in Fontainebleau, France and of BJT Geoscience Associates Ltd. In Canada. Previously he held positions in Halliburton as a Chief Scientist in R&D, as a Specialist in Equinor’s (Statoil’s) Heavy Oil Technology Centre-Unconventionals R&D, as Senior Advisor Geologic Modeling for Chevron Canada Resources, and Reservoir Characterization Specialist at ConocoPhillips Canada. He was president of TerraMod Consulting applying geostatistics and geomodeling techniques mainly for large international reservoir studies and mining resources. As a volunteer, Mr. Garner currently serves as a co-chair for the Canadian Society of Petroleum Geologists’ Geomodeling Technical Division committee. He was chairman for three Gussow research conferences, Closing the Gap I, II, and III: Advances in Geomodeling for Petroleum Reservoirs held in 2011, 2014, and 2018. He is a past Finance Chair for the CSPG Board of Directors.
The course is intended for technical people and decision makers working on subsurface hydrocarbon reservoirs in multi-disciplinary teams to raise their level of skills for using or considering using geomodeling. This includes geomodelers, reservoir engineers, geologists, geophysicists, petrophysicists, technologists and technical managers.
o Beginner to Intermediate
The learning objectives of the top-most level content of the course are grounding in:
o Geostatistical theory with data analysis
o Geomodeling thought process
o Best practices and Trade Craft
Registration is now OPEN!
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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