Integration of Rocks, Log & Test Data
- Depth-match core data to logs and calibrate log-derived porosity and lithology.
- Build a petrophysical model for porosity, water saturation and permeability calibrated to core.
- Interpret formation tester pressure gradients to define fluid contacts and compartments.
- Compare core, log and well test permeability and explain differences caused by scale and heterogeneity.
- Define rock types that are consistent across core, log and dynamic data.
- Deliver an integrated property set with documented uncertainties for reservoir modelling.
- Scales and Measurement Principles
- Core, log and test measurement scales
- Conditions and limitations of each data source
- Integration workflow and data quality
- Core-to-Log Calibration
- Depth matching and core shifts
- Porosity and lithology calibration
- Saturation parameters from core
- Permeability Estimation
- Porosity-permeability transforms
- Rock typing and permeability prediction
- Log-based permeability methods
- Formation Testers and Fluid Contacts
- Pressure gradient interpretation
- Fluid contacts and compartmentalisation
- Fluid sampling and mobility
- Well Test Integration
- Permeability-thickness and skin from pressure transient analysis
- Reconciling test and core permeability
- Heterogeneity and boundary effects
- Integrated Reservoir Description
- Upscaling across measurement scales
- Property models and uncertainty ranges
- Handover to static and dynamic models
الحصول على الكتيب
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Program Professional Framework
Integration of Rocks, Log & Test Data
Program Overview
Core, logs and well tests each measure reservoir properties at different scales and under different conditions, and they rarely agree without careful integration. This course shows how to reconcile them into one consistent reservoir description: core-to-log depth matching and calibration, building a petrophysical model of porosity, saturation and permeability, rock typing, formation tester pressure gradients and fluid contacts, well test permeability and skin, and upscaling across measurement scales. Participants work through an integrated dataset from a Gulf carbonate reservoir, resolving conflicts between data sources and delivering properties ready for static and dynamic models.
Learning Outcomes
- ✓Depth-match core data to logs and calibrate log-derived porosity and lithology.
- ✓Build a petrophysical model for porosity, water saturation and permeability calibrated to core.
- ✓Interpret formation tester pressure gradients to define fluid contacts and compartments.
- ✓Compare core, log and well test permeability and explain differences caused by scale and heterogeneity.
- ✓Define rock types that are consistent across core, log and dynamic data.
- ✓Deliver an integrated property set with documented uncertainties for reservoir modelling.
Target Audience
- Petrophysicists
- Reservoir engineers and geologists
- Geomodellers and simulation engineers
- Well testing and formation evaluation specialists
Detailed Program Modules
01Scales and Measurement Principles
- Core, log and test measurement scales
- Conditions and limitations of each data source
- Integration workflow and data quality
02Core-to-Log Calibration
- Depth matching and core shifts
- Porosity and lithology calibration
- Saturation parameters from core
03Permeability Estimation
- Porosity-permeability transforms
- Rock typing and permeability prediction
- Log-based permeability methods
04Formation Testers and Fluid Contacts
- Pressure gradient interpretation
- Fluid contacts and compartmentalisation
- Fluid sampling and mobility
05Well Test Integration
- Permeability-thickness and skin from pressure transient analysis
- Reconciling test and core permeability
- Heterogeneity and boundary effects
06Integrated Reservoir Description
- Upscaling across measurement scales
- Property models and uncertainty ranges
- Handover to static and dynamic models
Training Methodology
Applied Project & Assessment
Applied Project
Participants integrate a provided core, log, formation tester and well test dataset from a Gulf carbonate well, reconcile conflicting permeability and contact estimates, and deliver a consistent property set and rock type scheme with stated uncertainties.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.
