COURSE OVERVIEW:

Petrophysical Analysis Software Programs and Integrated Workflows provides a practical guide to the digital evaluation of subsurface formations. This course focuses on the efficient use of modern software environments to process, interpret, and model well-log data. Participants will explore the entire digital lifecycle of petrophysical data, from the raw loading and conditioning of LAS/DLIS files to the generation of robust multi-mineral models and saturation height functions.

The coverage includes the technical implementation of "Quick-look" and "Deterministic" workflows within industry-standard software. Attendees will learn how to automate repetitive tasks like environmental corrections, depth shifting, and baseline shifts. The course emphasizes the integration of core data for calibration, teaching participants how to perform non-linear regression and core-to-log depth matching within a software-driven framework to ensure that digital outputs are grounded in physical reality.

Furthermore, the course addresses advanced workflows such as probabilistic (multi-mineral) modeling and the use of machine learning for synthetic log generation and facies classification. Participants will study how to manage large multi-well projects, ensuring data consistency across fields and basins. By the end of the course, participants will be able to navigate petrophysical software suites with confidence, delivering high-quality, integrated evaluations that are ready for reservoir simulation and volumetric calculations.

COURSE OBJECTIVES:

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

• Navigate modern petrophysical software interfaces and data structures.
• Manage data import, export, and QC of wireline and LWD formats.
• Perform automated environmental corrections and log conditioning.
• Execute multi-well depth matching and splicing workflows.
• Implement deterministic petrophysical models for porosity and saturation.
• Calibrate digital logs with core analysis data using software tools.
• Utilize Probabilistic / Multi-mineral solvers for complex lithologies.
• Generate synthetic logs using Neural Networks and Cluster Analysis.
• Develop Saturation-Height Models (SHM) within a digital environment.
• Perform automated Net-Pay and Summation calculations across fields.
• Manage petrophysical uncertainty using Monte Carlo simulation tools.
• Create professional log plots and cross-plots for technical reporting.
• Integrate petrophysical outputs into 3D static and dynamic models.
• Standardize petrophysical workflows for regional multi-well studies.

TARGET AUDIENCE:

Petrophysicists, Well Log Analysts, Geomodellers, and Reservoir Engineers who use software tools for 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.