Course Details

Objective

• Understand the purpose and importance of IP logs in production analysis.
• Learn how to read, interpret, and analyze IP production data.
• Develop skills to identify trends and key performance indicators from IP logs.
• Understand the impact of various factors on initial production rates.
• Gain practical knowledge of how to use IP analysis to optimize well performance.
• Learn how to diagnose potential operational issues using IP production data.

Content

Day 1: Introduction to IP Production Log Analysis

• Overview of Initial Production (IP) logs and their significance in well evaluation.
• Understanding well production life cycles: from drilling to early production.
• Key components of an IP log: Production rate, pressure, flow data, and fluid analysis.
• Basic principles of reservoir engineering related to IP logs.
• Data sources and quality assurance in IP data collection.

Day 2: Understanding Production Parameters and Data Sources

• Key production parameters in IP logs: Flow rate, pressure, gas-oil ratio, and water cut.
• Evaluating initial production performance: What makes a good or bad IP?
• Common types of fluids produced during the initial stages (oil, gas, water).
• The role of wellbore and reservoir characteristics on IP log readings.
• Tools and equipment used in collecting and recording IP data.

Day 3: Interpreting and Analyzing IP Logs

• Techniques for analyzing production rates over time.
• Identifying trends in initial production data (early decline, stable production).
• Understanding production profiles and diagnosing issues like wellbore damage, reservoir heterogeneity, and equipment failure.

Day 4: Factors Affecting Initial Production Rates

• Reservoir conditions: porosity, permeability, and pressure.
• Well design and completion methods: impact on initial production performance.
• Operational factors: stimulation, fluid handling, and production optimization.
• Environmental influences: weather, surface equipment, and infrastructure.
• How to adjust forecasts based on IP data (e.g., predicting future production rates).

Day 5: Using IP Log Analysis for Optimization and Decision Making

• Translating IP log analysis into actionable insights for production optimization.
• Techniques for identifying operational bottlenecks early in the production phase.
• Addressing decline curves and forecasting future performance.
• Decision-making processes: Identifying which wells to prioritize for additional investment.

NOTE:

Pre-& Post Tests will be conducted.

Case Studies, Group Exercises, Group Discussions, Last Day reviews, and assessments will be carried out.

Methodology

A highly interactive combination of lectures and discussion sessions will be managed to maximize the amount and quality of information and knowledge transfer. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. You will also be encouraged to raise your own questions and to share in the development of the right answers using your own analysis and experiences.  Tests of multiple-choice type will be made available on daily basis to examine the effectiveness of delivering the course.

Very useful Course Materials will be given.

• 30% Lectures
• 30% Workshops and work presentation
• 20% Group Work& Practical Exercises
• 20% Videos& General Discussions