By the end of this training course, participants will learn to:

• Understand the benefits of data integration
• Understand various sources of data and the purpose of data acquisition
• Plan data acquisition programmes and oversee core handling and preservation techniques
• Understand the role of routine and special core analysis in reservoir characterisation
• Deduce reservoir properties from log interpretation and core analysis
• Integrate reservoir and well data to provide an evaluation of the reservoir and characterize flow units
• Avoid common pitfalls of data acquisition and analysis
• Present and manage data appropriately

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.  

• 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

This 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. 

Organisational Impact

Personnel will be able to:

• Plan improved data acquisition programs
• More effectively assess wider data sets for the benefit of a range of asset types
• Work more effectively in a multi-disciplinary team and manage third party contractors.
• Appraise existing data sets and evaluations with the aim of reducing In-Place volume uncertainty

Personal Impact

• Develop and build on existing knowledge of the collection and interpretation of core, log and test data
• Learn the principles of data acquisition planning and be able to identify the best combination of tests and techniques for an optimal analysis programme
• Gain an understanding of the pitfalls of the various data types and their potential implications.
• Raise self-assurance in evaluating previous studies.
• Provide confidence in managing third party relationships

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 test data for use in reservoir modelling
• Further analysis options

RECTUS attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration