COURSE OVERVIEW:

Nuclear Magnetic Resonance (NMR) logging is a sophisticated petrophysical technique that provides unique insights into the pore-scale environment of reservoir rocks. Unlike traditional porosity logs, which measure bulk physical properties, NMR measures the response of hydrogen nuclei to magnetic fields, allowing for a direct assessment of fluid volumes and pore-size distributions. This course explores the fundamental physics of NMR, including transverse and longitudinal relaxation (T2 and T1), and how these signals are processed to differentiate between clay-bound water, capillary-bound water, and moveable fluids.

The coverage includes the technical application of NMR in identifying complex fluid types, such as heavy oil, gas, and condensate, through the use of diffusion-weighted and T1-weighted measurements. Participants will learn how to interpret T2 distributions to estimate permeability and to identify "low-resistivity pay" that traditional logs might overlook. The scope also addresses the challenges of NMR interpretation in carbonates and unconventional reservoirs, where internal gradients and paramagnetic minerals can significantly influence the relaxation rates.

Furthermore, the course addresses the integration of NMR with other logging tools and core data to build a comprehensive petrophysical model. Attendees will explore the latest advancements in NMR technology, including high-frequency laboratory NMR for core analysis and the latest wireline and LWD (Logging While Drilling) tool designs. The training emphasizes the "Job Planning" aspect, teaching participants how to select the right acquisition sequences (echo spacing, wait time) for specific reservoir challenges. By the end of the course, participants will be able to perform advanced NMR interpretations to optimize completion strategies and reservoir management.

COURSE OBJECTIVES:

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

• Define the core physical principles of Nuclear Magnetic Resonance.
• Explain the concepts of T1 (Longitudinal) and T2 (Transverse) Relaxation.
• Interpret T2 distributions to determine total and effective porosity.
• Differentiate between Bound Fluid Volume (BFV) and Free Fluid Index (FFI).
• Estimate reservoir permeability using Coates and SDR models.
• Utilize NMR for fluid typing (Oil, Gas, and Water) using Diffusion data.
• Identify Producibility and Water-free Production potential.
• Analyze NMR responses in complex Carbonates and Vuggy systems.
• Characterize Unconventional reservoirs and Organic Matter (Kerogen) using NMR.
• Understand the role of Magnetic Field Gradients and Echo Spacing.
• Calibrate NMR logs with Laboratory NMR core measurements.
• Optimize NMR acquisition parameters for LWD and Wireline tools.
• Identify Heavy Oil and Viscosity variations using NMR relaxation.
• Integrate NMR into a multi-mineral petrophysical evaluation workflow.

TARGET AUDIENCE:

Petrophysicists, Well Log Analysts, Reservoir Engineers, and Geologists involved in advanced formation evaluation.

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.