This interactive Energy training course emphasizes the critical role of integrating data from various sources to tackle the complex challenges of reservoir evaluation and productivity across the entire asset life cycle.
Participants will explore multiple data sources, the basics of reservoir characterization, and the methodologies for integrating key data. The course blends theoretical knowledge with hands-on exercises to equip participants with the skills to integrate available data at different scales, enabling better evaluation of reservoir quality, heterogeneity, and maximizing hydrocarbon recovery potential.
Key highlights of this Petrophysical Properties training course include:
- Fundamentals of rock and reservoir properties
- Understanding the value and purpose of various data sources in reservoir analysis
- Techniques for integrating core and log data to define flow units and reservoir properties
- Practical experience through field examples to assess complex reservoir conditions
- Insights on common challenges in data acquisition, interpretation, and result presentation.
By the conclusion of this Petrophysical Properties training course, participants will have the ability to:
- Recognize the value of integrating various data types
- Grasp the different sources of data and their purpose in the acquisition process
- Plan effective data acquisition strategies while ensuring proper core handling and preservation
- Understand the role of both routine and specialized core analysis in the process of reservoir characterization
- Extract relevant reservoir properties through detailed log interpretation and core analysis
- Combine well and reservoir data to evaluate and define reservoir flow units
- Recognize and avoid common mistakes during data acquisition and analysis
- Present and manage data in a way that supports effective decision-making and reservoir evaluation.
This Energy training course will present methodologies to integrate the various data types in conjunction with a number of exercises combined with field examples in a workshop format to enhance the learning and knowledge of the participants.
Participants will be able to:
- Develop enhanced data acquisition strategies
- Evaluate broader data sets to benefit various asset types more effectively
- Collaborate efficiently within multi-disciplinary teams and manage external contractors
- Review existing data sets and assessments to minimize uncertainty in in-place volume estimations
- Expand their understanding of core, log, and test data collection and interpretation
- Learn the fundamentals of data acquisition planning and identify the optimal combination of tests and techniques for effective analysis
- Understand the challenges associated with various data types and their potential impacts
- Build confidence in evaluating past studies
- Develop skills to manage relationships with third-party contractors effectively
This Energy Petrophysical Properties 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.
- Geologists
- Well Site Geologists
- Petrophysicists
- Reservoir Engineers
- Production Engineers
- Drilling Engineers
- Data Managers
- Oil and Gas Industry Professionals involved in logging data interpretation and validation
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
- Acquisition planning
- 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 t