Dr. Fred Aminzadeh takes a course on " AVO, Inversion and Attributes in Seismic Interpretation "
March 5,2012
Course Overview:
This course is designed for all geoscientists involved in interpreting seismic data in their work. Key principles, shortcomings and the practical applications of AVO Inversion and seismic attribute analysis will better help to understand the nature of seismic images obtained related to
hydrocarbons. This technology will provide interpreters with the opportunity to interpret the seismic images effectively and representative of the rock attributes, and avoid pitfalls.
Special emphasis will be given to practical aspects of seismic attribute analysis to improve the
interpretative capability of seismic data and determining reservoir properties. Some discussion of the conventional and unconventional statistical methods (such as neural networks, fuzzy logic and genetic algorithms) will show how different attributes and AVO/ inversion results can be integrated to further enhance their usefulness.
Several case histories to determine hydrocarbon probability of an exploration target as well as
characterizing reservoirs and monitoring changes in the reservoirs will be presented plus hands-on exercises will enable course participants to use their newly acquired knowledge to solve a few E&P problems.
This program is designed for :
• Geophysicists
• Geologists
• Reservoir engineers
• Seismic interpreters
• Exploration and Production managers
PLUS anyone who is in need of a good understanding of the principles and applications of these technologies.
Benefits:
For more information visit>>
Course Overview:
This course is designed for all geoscientists involved in interpreting seismic data in their work. Key principles, shortcomings and the practical applications of AVO Inversion and seismic attribute analysis will better help to understand the nature of seismic images obtained related to
hydrocarbons. This technology will provide interpreters with the opportunity to interpret the seismic images effectively and representative of the rock attributes, and avoid pitfalls.
Special emphasis will be given to practical aspects of seismic attribute analysis to improve the
interpretative capability of seismic data and determining reservoir properties. Some discussion of the conventional and unconventional statistical methods (such as neural networks, fuzzy logic and genetic algorithms) will show how different attributes and AVO/ inversion results can be integrated to further enhance their usefulness.
Several case histories to determine hydrocarbon probability of an exploration target as well as
characterizing reservoirs and monitoring changes in the reservoirs will be presented plus hands-on exercises will enable course participants to use their newly acquired knowledge to solve a few E&P problems.
This program is designed for :
• Geophysicists
• Geologists
• Reservoir engineers
• Seismic interpreters
• Exploration and Production managers
PLUS anyone who is in need of a good understanding of the principles and applications of these technologies.
Benefits:
- UNDERSTAND the key principles and concepts in applying AVO inversion technologies
- LEARN to characterize static and dynamic reservoir properties and qualities
- APPLY various seismic attribute tools and technologies to interpret seismic data efficiently
- MANAGE risk factors and error margins in reservoir prediction
- OVERCOME the limitations and problems faced in applying these technologies
- OPTIMIZE the interpretative capability of seismic data and determining reservoir properties
- GAIN a hands-on approach in tackling real-life E&P problems by utilizing these technologies
- INTEGRATE seismic attributes and AVO inversion results to maximize their application
For more information visit>>
Dr Fred Aminzadeh addresses The Petroleum Technology Forum on January 10th at the Long Beach Petroleum Club
January 10, 2012
Abstract :
As improved recovery from old reservoirs and effective production from new reservoirs gain importance, monitoring changes in the reservoirs and producing from them in an optimum manner becomes crucial. Geophysical data have proven to be an important tool for obtaining information about the reservoir properties away from the existing wells. Such information is not only crucial for characterizing oil and gas reservoirs and developing the field, but also in many other stages of reservoir life from its exploration to its abandonment. I will introduce many uses of geophysical data in general and seismic data in particular for reservoir monitoring related work. Some of the key aspects of this lecture include:
Abstract :
As improved recovery from old reservoirs and effective production from new reservoirs gain importance, monitoring changes in the reservoirs and producing from them in an optimum manner becomes crucial. Geophysical data have proven to be an important tool for obtaining information about the reservoir properties away from the existing wells. Such information is not only crucial for characterizing oil and gas reservoirs and developing the field, but also in many other stages of reservoir life from its exploration to its abandonment. I will introduce many uses of geophysical data in general and seismic data in particular for reservoir monitoring related work. Some of the key aspects of this lecture include:
- 4D volumetric inversion to monitor reservoir pressure, saturation, and permeability changes
- Integrated reservoir model updating and history matching using different types of geophysical data (e.g. time lapse seismic, borehole gravity, borehole to borehole tomography, three component data and controlled source electromagnetics)
- Passive seismic monitoring with a focus on monitoring hydrofrac process in shale oil and gas reservoirs
- Seismic acquisition, processing and analysis for CO2 sequestration & monitoring
- Special issues for reservoir monitoring of mature oil fields, including the carbonate reservoirs and how the effectiveness of the EOR process could be monitored
- Monitoring high temperature and / or high pressure reservoirs including those in the deep water fields.
