Integrated Training

Integrated Reservoir Characterization: Unlocking Reservoir Potential including Petrophysics, SHF, Reserves Estimation, Production Forecasting, and HC Recovery Fundamental

To equip participants with an integrated understanding of petrophysical principles and their application in reservoir engineering, including fluid characterization (SHF, PVT), reserves estimation, production forecasting, and reservoir screening for EOR, supported by practical hands-on exercises and industry software tools.

Course Info
Discipline

H. Data Management Course/Data Management

Duration

4 days

Level

Skilled

Delivery Mechanism

Classroom

Deliverables:
Meeting Room
Certificate
Professional Instructors
Meals
Training Materials
Schedule
Agenda

DAY 1 – Saturation Height Function (SHF) & Stick Plot

  • Session 1: Saturation Height Function (SHF) Fundamentals
      • RCAL&SCAL Interpretation data
      • Rock Typing conceptual (PGS, HFU, Winland)
      • Capillary pressure (Pc) vs. height relationship
      • Wettability and relative permeability
      • SHF models: Brooks-Corey, Skelt-Harrison, Lambda function
  • Session 2: SHF Application in Reservoir Modeling
      • Calibration with core and log data
      • Water saturation prediction in transition zones
      • Hands-on Exercise: Building SHF from PC data using Petrel/Excel
  • Session 3: Stick Plot & Well Correlation
      • Well log visualization using stick plots
      • Cross-well correlation for reservoir continuity analysis
  • Hands-on Exercise: creating stick plot

 

DAY 2 – PVT Analysis & Its Connection to Petrophysics

  • Session 1: Fundamentals of PVT Analysis
      • Fluid sampling (oil, gas, water)
      • Key PVT parameters: Bubble point, GOR, Viscosity, Formation Volume Factor (FVF)
  • Session 2: PVT Integration in Reservoir Simulation
      • Capillary pressure effects on fluid saturation
      • Wettability and relative permeability
  • Session 3: PVT Integration in Reservoir Simulation
      • Equation of State (EOS) modeling
      • Case study: PVT influence on recovery factor
  • Hands-on Exercise: PVT lab data analysis and petrophysical integration

 

Audience

This course is intended for those who want to learn how to use Python programming language to run basic seismic data processing

Instructor

A petroleum engineer with more than 15 years of hands-on experience in the oil and gas industry. I earned my Bachelor’s and Master’s degrees from ITB and have worked on various projects involving reservoir engineering, waterflooding optimization, and unconventional resources like asphaltene and CBM. I’m passionate about solving real energy challenges and contributing to Indonesia’s energy future through smart, data-driven engineering solutions.

Petroleum Engineering lecturer at Institut Teknologi Sains Bandung (ITSB) with expertise in Reservoir Simulation and Petrophysics. My academic journey began with a Diploma in Petroleum Engineering from Akamigas Balongan, followed by a Bachelor’s and Master’s degree in Petroleum Engineering from ITSB. Throughout my studies, I actively engaged in student organizations and scientific competitions, which shaped both my technical and leadership skills. Passionate about teaching and research, I am committed to contributing to the advancement of petroleum engineering education and practice.

Location: Hotel Neo Dipati Ukur, Bandung

Start Date:

1 December 2025

End Date:

4 December 2025

Price
25 Mio/Person
Training will be held min. 3 pax
*Exclude VAT and Flight Ticket