Integrated Reservoir Management
Objectives:
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.
Reservoir Engineering
4 days
Advanced
Classroom
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
DAY 3 – Reserves Estimation Methods
- Session 1: Reserves Classification (SPE-PRMS)
– Proven, Probable, Possible reserves
- Session 2: Reserves Estimation Techniques
– Volumetric method (using petrophysical data) using Excel
– Decline Curve Analysis (DCA) using OFM
– Material Balance using MBAL . RTA
- Session 3: Uncertainty in Reserves Estimation
– Sensitivity analysis (porosity, Sw, NTG)
– Monte Carlo simulation
- Hands-on Exercise: Calculating OOIP/GOIP using log and core data
DAY 4 – Production Forecasting & Petrophysics Integration
- Session 1: Basics of Production Forecasting – Preparing production data to be used as input data in HM & forecasting
– Decline curve analysis (Exponential, Hyperbolic, Harmonic)
– Type curve matching
- Session 2: Impact of Rock Heterogeneity on Production
– Role of rock typing & SHF in production forecasting
– Dynamic reservoir simulation basics
- Session 3: Integrated Case Study
– Using petrophysical data for production forecasting
– Recovery factor optimization based on rock properties
- Hands-on Exercise: Production forecasting using petrophysical and PVT data
A petroleum engineering professional and lecturer with more than 15 years of hands-on experience in the oil and gas industry. He holds a Diploma in Petroleum Engineering from Akamigas Balongan and both Bachelor’s and Master’s degrees in Petroleum Engineering from Institut Teknologi Bandung. His expertise spans reservoir engineering, reservoir simulation, petrophysics, waterflooding optimization, and unconventional resources such as asphaltene and coal bed methane (CBM). In addition to his industry experience, he currently serves as a lecturer in Petroleum Engineering at Institut Teknologi Sains Bandung (ITSB), where he is actively involved in teaching and research. Throughout his academic and professional journey, he has demonstrated strong technical and leadership capabilities, with a passion for developing data-driven engineering solutions and advancing petroleum engineering education and practices to support Indonesia’s energy future.
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