eCourse Catalog

Machine Learning Essentials (with certification)

The course is ideal for geoscientists, engineers, and data analysts at all experience levels.  Concepts are supported with ample illustrations and case studies, complemented by mathematical rigor benefiting the subject. Aspects of supervised learning, unsupervised learning, classification, and reclassification are introduced to illustrate how these methods apply to seismic data. For this version of the class, assessments are given at intervals throughout the course to gauge comprehension.  Upon completion with a passing total score, a certificate is issue, certified by Geophysical Insights.  Read more

Instructor:
Dr. Tom Smith, President and CEO, Geophysical Insights
Total classroom time:
12 hours
Cost:
$425

Machine Learning Essentials (without certification)

The course is ideal for geoscientists, engineers, and data analysts at all experience levels.  Concepts are supported with ample illustrations and case studies, complemented by mathematical rigor benefiting the subject. Aspects of supervised learning, unsupervised learning, classification, and reclassification are introduced to illustrate how these methods apply to seismic data. For this version of the class, no assessments or certification is included. Read more

Instructor:
 Dr. Tom Smith, President and CEO, Geophysical Insights
Total classroom time:
12 hours
Cost:
$395

Seismic Attributes for the Environment of Deposition

The evaluation of seismic attributes is a powerful tool in the interpretation of different geologic environments of deposition. Seismic attributes, specifically geometric and spectral decomposition attributes, provide a framework for interpreting geologic features that define depositional environments. This video course identifies the appropriate seismic attributes for various geologic settings and describes how these attributes are applied. Lecture and demonstrations cover the use of attributes in interpretation workflows and manipulate attribute parameters to highlight geologic features. The last video segment of the course describes how sets of attributes are analyzed and classified using multi-attribute, Machine Learning processes to extract more information from the seismic response. Read more

Instructors:
Dr. Kurt Marfurt, The University of Oklahoma  |  Dr. ChingWen Chen, Geophysical Insights  |  Rocky Roden, Geophysical Insights
Total classroom time:
5 hours
Cost: $95

Energy Absorption and Traveling Waves

Waves of elastic energy travel through the Earth with the same physical principles as other waves travel through different mediums. This video focuses on the physics of traveling waves and why energy absorption is important to an understanding of seismic data. Starting with a liner second-order vibrating system as a mathematical model, the 50-minute short course presents the classes of waves and their associated measurements. The basics of energy loss in traveling waves are described, as well as the relationship between vibration and energy loss. A simplified model of the seismic geophone is used to described attenuation and damping ratio.  Read more

Instructors: Dr. Tom Smith, President and CEO, Geophysical Insights
Total classroom time:
1 hour
Cost: $49

eCourse Catalog

Machine Learning Essentials (with certification)

The course is ideal for geoscientists, engineers, and data analysts at all experience levels.  Concepts are supported with ample illustrations and case studies, complemented by mathematical rigor benefitting the subject. Aspects of supervised learning, unsupervised learning, classification, and reclassification are introduced to illustrate how these methods apply to seismic data. For this version of the class, assessments are given at intervals throughout the course to gauge comprehension.  Upon completion with a passing total score, a certificate is issue, certified by Geophysical Insights.  Read more
Total classroom time: 12 hours
Cost: $425

Machine Learning Essentials (without certification)

The course is ideal for geoscientists, engineers, and data analysts at all experience levels.  Concepts are supported with ample illustrations and case studies, complemented by mathematical rigor benefitting the subject. Aspects of supervised learning, unsupervised learning, classification, and reclassification are introduced to illustrate how these methods apply to seismic data. For this version of the class, no assessments or certification is included. Read more
Total classroom time: 12 hours
Cost: $395

Seismic Attributes for the Environment of Deposition

The course is ideal for geoscientists, engineers, and data analysts at all experience levels.  Concepts are supported with ample illustrations and case studies, complemented by mathematical rigor benefitting the subject. Aspects of supervised learning, unsupervised learning, classification, and reclassification are introduced to illustrate how these methods apply to seismic data. Read more
Total classroom time: 5 hours
Cost: $95

Energy Absorption and Traveling Waves

Waves of elastic energy travel through the Earth with the same physical principles as other waves travel through different mediums. This video focuses on the physics of traveling waves and why energy absorption is important to an understanding of seismic data. Starting with a liner second-order vibrating system as a mathematical model, the 50-minute short course presents the classes of waves and their associated measurements. The basics of energy loss in traveling waves are described, as well as the relationship between vibration and energy loss. A simplified model of the seismic geophone is used to described attenuation and damping ratio.  Read more
Total classroom time: 1 hour
Cost: $49