Description

Designed for you, if you are...

• A reservoir engineer
• A petrophysicist or geoscientist involved in core analysis, data interpretation or reservoir model development

How we build your confidence

• Instructor-led classroom training
• Short lectures linking theory to real field applications
• Practical group exercises on SCAL study design and data interpretation
• Real-world case studies covering a range of rock types and fluid systems
• Interactive Q&A sessions and guided discussions
• Review of example laboratory datasets (good, poor, and complex cases)
• Workshop-style learning environment encouraging multidisciplinary collaboration

The benefits from attending

• Design and justify a fit-for-purpose SCAL programme
• Select representative samples and appropriate measurement methods
• Evaluate the quality and internal consistency of laboratory results
• Interpret capillary-pressure, wettability and relative-permeability data
• Convert SCAL measurements into saturation and flow functions for reservoir models
• Communicate SCAL requirements, limitations and uncertainty across disciplines

Topics

• Introduction to the SCAL lifecycle: from study justification to model integration
• Designing a SCAL programme to meet field-specific objectives
• Core acquisition, preservation, and wellsite handling – overview of best practice
• Overview of the core analysis workflow from recovery to data reporting
• Exercise: defining SCAL objectives and test matrix
• Exercise: justifying SCAL data acquisition

• Routine Core Analysis (RCA) principles including sample preparation, cleaning and drying; measurement of porosity and permeability; laboratory QA/QC and uncertainty consideration
• Petrography and rock description: linking depositional texture, diagenesis, and pore system evolution to measured rock properties; integration of thin section, SEM, and micro-CT observations; using petrographic insights to define rock types and understand flow behaviour
• Electrical properties measurements: Archie’s law, formation factor, and cementation exponent
• SCAL sample selection and pairing: representativeness, coverage of rock and fluid-property space, exclusion criteria, sister-plug selection, vertical versus horizontal plugs, heterogeneity screening, CT-based quality checks, and avoiding selection bias
• Exercise: Interpreting a set of routine and petrographic data to identify representative rock types and quality groups

• Fundamentals of multiphase flow in porous media including the impact of pore geometry and wettability on displacement processes
• Capillary pressure & saturation height modelling: measurement techniques including porous plate, centrifuge and mercury injection; converting capillary-pressure and electrical-property measurements into saturation-height functions; scaling by rock type; reconciling core and log-derived saturation; and assessing uncertainty in in-place volumes
• Relative permeability: measurement techniques including steady-state, unsteady-state and centrifuge methods; applications to water–oil, gas–oil and gas–water systems; critical gas saturation; condensate banking; gravity drainage; displacement-path dependence; and selection of appropriate two- and three-phase models
• Wettability: measurement methods (Amott–Harvey, USBM, contact angle); and impact of wettability on flow properties such as relative permeability
• Case study: comparing water-wet, mixed-wet, and oil-wet systems
• Integration session: constructing internally consistent Pc–kr–Sw datasets and checking data quality for reservoir modelling

• Raw-data interpretation and inverse modelling: material-balance checks, capillary end effects, pressure and production matching, analytical versus numerical interpretation, non-uniqueness, and auditing laboratory-derived relative-permeability curves
• Exercise: Quality checks on example datasets including coreflood QA/QC, interpretation principles and curve fitting
• Integrating core data into the reservoir model workflow (static / dynamic)
• Grouping and assigning SCAL functions: defining saturation-function families, endpoint trends, rock-type assignment, averaging, upscaling and uncertainty representation
• Application of SCAL data in multiphase flow modelling: hysteresis, effective permeability, and three-phase flow effects
• Group exercise: turning SCAL outputs into modelling inputs

• SCAL for carbon dioxide storage: experimental design for injectivity, plume migration and containment; gas–water relative permeability; hysteresis and residual trapping; capillary entry pressure; wettability and interfacial tension; representative-fluid design; and links to dynamic and reactive-transport models
• Digital rock analysis: a critical review of digital core-analysis capability, uncertainty, validation against laboratory measurements, scale limitations and technology readiness
• Case study exercise: Building on the week’s learning, participants will review a case study, assess the suitability and quality of the available data, and determine how the data should be implemented in static and dynamic modelling studies
• Discussion: balancing laboratory complexity with business value
• Summary session: best practices, lessons learned, and take-away reference framework