The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
Industry and client recognition
Best Outreach Program Finalist: WorldOil Awards
Overall Customer Satisfaction Score
Training provider of the year: 2013, 14 and 15
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.Engaging. Educational. Enjoyable
We’re here to help!
Ask a question or leave a
comment using our Contact Us
Geomechanics plays a critical role in successfully optimizing shale gas exploitation. This course can help understand the essential aspects of geomechanics in shale gas enabling an engineer or geoscientist to make better field development decisions. A unique feature of this course is that it gives a unified geomechanics approach combining theoretical, laboratory (core testing) and field aspects to effective exploitation of unconventional reservoirs. This course covers the necessary fundamentals of geomechanics as applied to shales, heterogeneity and natural fractures in shale and their influence on stimulation, the process of Tight Rock Analysis (TRA) and heterogeneous mechanical earth model, critical elements in designing hydraulic stimulation and horizontal completions, and best completion practices. Throughout the course, case study examples from unconventional reservoirs will be shown to reinforce the Geomechanical concepts.333
Geomechanics Fundamentals - In the morning the course will demonstrate the importance of geomechanics in unconventional reservoirs. The course will then cover the fundamental aspects of geomechanics including basic concepts of stress, strain, mechanical properties, Young’s modulus, Poisson’s ratio (static and dynamic), in-situ stresses and rock failure. Consequently, the participants will be exposed to geomechanics applications such as pore pressure prediction, wellbore stability and hydraulic fracturing.
In the afternoon the focus will be on shale heterogeneity evaluation. In this section, the participants will be exposed to shale characterization methodologies from a geomechnaics perspective such as petrography and XRD. The course material will then cover shale anisotropy – microscopic to core to field scale. Consequently, workflows will be discussed as to how these geomechanics principles can be used to evaluate the lateral variations from well-to-well. The course will then cover TIV anisotropy, scratch testing and variation in mechanical properties in vertical and horizontal directions. Finally, end the day with Tight Rock Analysis (TRA) process.Day 2
Geomechanics Data Sources and Mechanical Earth Model – In the morning, the participants will be exposed to recommended data acquisition program for an effective geomechanics analysis. The course will then cover the workflows for estimating anisotropic parameters using acoustic azimuthal anisotropy (sonic scanner) and introduction to building Mechanical Earth Model (MEM).
In the afternoon, the participants will be exposed to key geomechanical elements affecting hydraulic stimulation design and a successful shale completion strategy (design aspects). Furthermore, the course will also cover shale hydraulic fracturing and completion strategy including horizontal completions design, frac fluid and proppant properties (field aspects). Finally end the day with an introduction to microseismic and hydraulic fracturing monitor-ing (HFM).
This short course is intended for engineers, geoscientists, and technologists involved in exploration, drilling, completions and production in unconventional reservoirs.
Prerequisites: 4 Years Engineering/Geoscience Degree
Customize your own learning journey and track your progress when you start using a defined learning path.