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|AAPG Members||$1,795||$1,995||Non Members||$2,095||$2,295|
Fundamentals of Chemostratigraphic Characterization and Correlation Using Bulk Elemental Data: Focus on Utilization in Horizontal Wells
- INSTRUCTOR :
- Milly Wright, Chemostrat Inc., Houston, TX
- October 14 - 15, 2013
- Norris Conference Center, City Centre Location, Houston, Texas
(if purchased individually)
Registration for the entire week is $1,795 for members, $2,095 nonmembers. Goes up to $1995/$2295, and/or individual course prices increase by $50/course day on 9/16/2013. Course notes, refreshments and lunch buffet included.
No refunds for cancellations after 9/16/2013
- 1.5 CEU What is a CEU?
Who Should Attend
This course will be helpful to Geologists, Geophysicists, Engineers and other Geoscientists interested in applications for chemostratigraphy in horizontal wells. It is targeted to an audience with a geological background – at least a bachelor’s degree in geology or oil industry experience is advised.
After attending this course, participants will have:
- A working knowledge of how inorganic geochemical data is generated
- Learned typical interpretation techniques in a variety of different depositional environments where the characterization and evaluation of lateral wells is commonly used
- An understanding of how to integrate this type of data with other commonly used stratigraphic datasets.
This course aims to give participants an understanding the main sources of data and their strengths and weaknesses, including Inductively Coupled Plasma Spectrometry, X-Ray Diffraction (laboratory, benchtop and handheld) and Downhole tools. We will also be showing several data interpretation methods associated with construction of chemostratigraphic frameworks in different deposition environments including the following:
- Determining key elements and element ratios
- Geochemical data plotting: Chemical logs
- Graphical plotting, binary diagrams, ternary diagrams (Chemostrat excel macros)
- Statistical methods: Principle Components Analysis, Discriminate Functions Analysis (using Unistat for Windows)
- Graphical modeling techniques to elucidate mineralogy
- Correlation coefficients
- Principal components analysis and Eigen vectors used to help understand element to mineral associations
- Direct comparison of mineralogical and elemental data
We will interpret geochemical data from lateral wells and show how understanding this type of data can be used in well steering and completions. Integration of chemostratigraphic data with other commonly used stratigraphic techniques, such as stable isotope stratigraphy, biostratigraphy and sequence stratigraphy will also be discussed. And lastly, we will show other data interpretation methods associated with-non stratigraphic methods: modeling mineralogy, modeling TOC, and modeling relative brittleness and relating to fracking in shale plays.