COURSE OVERVIEW:

Microseismic Monitoring and Interpretation for Unconventional Plays is an essential course for understanding the dynamic response of reservoirs during hydraulic fracturing operations. This discipline involves the detection and location of low-magnitude seismic events induced by the injection of high-pressure fluids into shale and tight gas formations. By analyzing these tiny "earthquakes," geoscientists and engineers can map the geometry, orientation, and extent of the created fracture network in real-time.

The coverage includes the technical aspects of data acquisition using downhole geophone arrays and surface networks. Participants will explore the physics of seismic wave propagation in anisotropic media and the algorithms used for event location and focal mechanism analysis. The scope extends to the interpretation of "clouds" of microseismic events to determine the stimulated reservoir volume (SRV). Understanding the relationship between the pumped fluid volume, proppant placement, and the resulting microseismic activity is critical for optimizing well spacing and completion designs in unconventional assets.

Furthermore, the course addresses the integration of microseismic data with geomechanical models and production history. Attendees will learn how to identify structural features such as pre-existing faults that may be reactivated during treatment, which can lead to "frac hits" or out-of-zone growth. The training also highlights the use of microseismic data for regulatory compliance regarding induced seismicity monitoring. By the end of the course, participants will be able to evaluate the effectiveness of stimulation treatments and provide data-driven recommendations for improving reservoir recovery.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Define the fundamental principles of microseismicity and induced seismic events.
• Explain the difference between downhole and surface monitoring geometries.
• Analyze the impact of velocity models on event location accuracy.
• Interpret microseismic event "clouds" to estimate Stimulated Reservoir Volume (SRV).
• Identify fracture orientation, height, and half-length from microseismic data.
• Utilize moment tensor inversion to understand fracture failure mechanisms.
• Differentiate between tensile, shear, and mixed-mode fracturing.
• Integrate microseismic data with hydraulic fracturing pump charts.
• Detect and mitigate the risk of fault reactivation and induced seismicity.
• Analyze "Frac Hits" and well interference using microseismic observations.
• Evaluate the effectiveness of different completion and staging strategies.
• Utilize microseismic data to calibrate geomechanical and reservoir models.
• Monitor out-of-zone fluid migration and top-seal integrity.
• Formulate real-time operational decisions based on microseismic feedback.

TARGET AUDIENCE:

Completion Engineers, Geophysicists, Geomechanical Engineers, and Reservoir Engineers involved in the development of shale and tight-rock reservoirs.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.