Petrel Property Modeling
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This course is intended for the user with fundamental Petrel modeling skills. The course covers basic geostatistics, data preparation, data analysis, facies and petrophysical modeling. You will learn different ways to create property models and how to condition models to existing models and secondary data. This course guides the user through concepts, algorithms and software functionalities in property modeling.
The first part of the course focuses on the usage of basic geostatistical tools, through data analysis. Also pre-modeling processes concerning well data preparation will be covered. Also here we will look into the first step of the property modeling workflow: upscale well logs to create single property values at well location for each cell. This will create hard data that will be used to populate the 3D grid with either deterministic or stochastic algortihms.
The second half of the course focuses on facies and petrophysical modeling workflows using stochastic methods as well as covering the usage of Kriging for continuous properties. Implementing Data analysis results and using secondary data to constrain the result will also be shown.
For Petrel 2011/2012 classes
This course is intended for the user with fundamental Petrel modeling skills. The course covers basic geostatistics, data preparation, data analysis, facies and petrophysical modeling.
You learn different ways to create property models and how to condition models to existing models and secondary data. You are guided through concepts, algorithms and software functionalities in property modeling.
The first part of the course focuses on basic geostatistical concepts like variogram, Kriging and Gaussian simulation; testing of both methods to see their benefits and limitations. Also pre-modeling processes such as well data preparation, data analysis, and logs upscaling is covered.
The second half of the course focuses on facies and petrophysical modeling using stochastic methods. Data analysis and the used of pre-existing models and secondary data are demonstrated as key issues in the modeling sequence to guide the result.
- Basics of uni and bivariate Geostatistics
- Data preparation, including well log edits and calculations as well as well log upscaling for discrete and continuous data
- Facies modeling
- Data analysis
- Sequential Indicator Simulation
- Object Facies Modeling-
- Truncated Gaussian Simulation with and without trends
- Using secondary data to populate facies models
- Petrophysical Modeling
- Data analysis
- Sequential Gaussian Simulatio
- Gaussian Random Function Simulation
- Using secondary data to populate petrophysical models
Lothar Schulte is a geoscience expert, instructor, lecturer, and Principal Geoscientist for Schlumberger. He got his PhD in Natural Science.
His strong expertise in Geophysics and Geology was developed through a 30 year career mainly in oil industry. He started his career at a German consulting company where he worked as geohydrologist. In 1984 he joined the German oil service company Prakla-Seismos where he did seismic data processing. In 1989 he joined Schlumberger where he supported seismic interpretation systems in The Netherlands.
Presently, he is working as Principal Geoscientist in Far East where he is doing consulting work as geomodeler and geophysicist, conducting customized training, writing training manuals and supporting Petrel software. His scientific background is documented in over 30 internal and external publications.
Development and exploration geologists, geophysicists, geochemists, petrophysicists, petroleum engineers, managers, reservoir engineers and technical personnel with prior experience in Petrel.
General knowledge of petroleum geology. Petrel Fundamentals course or equivalent experience