This training course is suitable for a wide range of professionals who have a basic understanding of petrophysics, geology, engineering and need a more advanced course covering how to integrate different data sets together to gain an improved understanding of reservoir performance.
Day One: Introduction and Reservoir Properties
- Overview of the need for integrated data analysis – advantages and disadvantages
- Overview of the various data types and sources (well log, core and fluid samples etc)
- Refresh rock properties (porosity and permeability)
- Basic Fluid properties
- Pressure and temperature gradients
Day Two: Data Acquisition and Description
- Wireline logs – an overview of key log types including gamma ray, spontaneous potential, resistivity, caliper, Neutron-density and image logs
- Acquisition planning
- Best practice for log data
- Coring – an overview of whole and sidewall core logging
- Acquisition planning
- Core handling and preservation – core orientation
- Best practice for core data
- Formation Tests – MDT and RFT
- Exercise: Analysis of data types and plan data acquisition
Day Three: : Data Preparation
- Core Data
- QC core data and bias check
- Preliminary zonation determination
- Routine Core Analysis (RCA)
- Special Core Analysis (SCAL)
- Log Data
- Log preparation audit and normalization, data conditioning
- Environmental corrections
- Lithostratigraphic and chronostratigraphic correlation
- Log and Core synchronisation – lag determination, logging cuttings and core to correlate with the log suite
- Well Test Interpretation
- Drill stem testing – reservoir scale fluid pressure and mobility, fluid return and flow dynamics
- Wireline and LWD formation testing – fluid extraction, downhole chemical analysis, sample return, mobility and flow dynamics
- Pressure transient analysis
- Exercise: Core, log and well test inspection and QC
Day Four: : Integration of Data, Analysis and Interpretation
- Core Analysis
- Core description and logging
- Integration of RCA with core
- Assimilation of SCAL techniques to evaluate capillary pressures, wettability, petrophysical properties (m, n), saturations, permeability, rock strength, stress / strain
- Log Analysis
- Basic Log Analysis – compute Vsh, porosity, Sw, K, Netpay
- Common pitfalls of basic log analysis
- Well test interpretation to assess well productivity and production issues
- Integrate well tests and production logging data
- Determination of hydrocarbons in place
- Water and gas coning effects
- Contact evaluation
- Exercise: Integration of core and log data for porosity and permeability calculations, scale up of permeability and calibration, evaluation of well productivity
Day Five: : Data Presentation, Sensitivity Studies and Next Steps
- Data set pitfalls
- Resolution of lateral and vertical heterogeneity
- Scaling issues between reservoir field scale (DST), logging scale and detailed laboratory testing
- Managing Uncertainty
- Recalculation sensitivity studies – evaluating existing studies
- Effects of uncertainty on In Place volumes
- Reporting of results
- Data presentation and database management
- Data formats for integration
- Data hierarchy
- Next steps
- Integration of core, log and test data for use in reservoir modelling
- Further analysis options