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Why Choose this Training Course?
Why Choose this Online Training Course?
This interactive PetroKnowledge Online Training course will highlight the importance of data integration from a variety of sources to address complex reservoir evaluation and productivity challenges experienced throughout the full asset life cycle.
This PetroKnowledge Online Training course will cover a variety of data sources, fundamentals of reservoir characterisation, and methodologies of integrating key information. The course combines theory with practical exercises to give participants a working knowledge of how integrating available data at various scales can be used to evaluate reservoir quality, heterogeneity and improve the productive potential to maximize recovery of hydrocarbons.
This PetroKnowledge Online Training course will feature:
Principles of rock and reservoir properties
The value of different data sources and purposes of data acquisition for reservoir analysis
Integration of core and log data to characterise flow units and reservoir properties
Provide hands on experience using field examples to evaluate complex reservoir conditions
Give advice regarding common pitfalls of data acquisition, interpretation, and presentation of results
What are the Goals?
What are the Goals?
By the end of this PetroKnowledge Online 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
Who is this Training Course for?
Who is this Online Training Course for?
This PetroKnowledge Online 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.
Well Site Geologists
Oil and Gas Industry Professionals involved in logging data interpretation and validation
How will this Training Course be Presented?
How will this Online Training Course be Presented?
This PetroKnowledge online training course will utilize a variety of proven online learning techniques to ensure maximum understanding, comprehension, retention of the information presented. The training course is conducted Online via an Advanced Virtual Learning Platform in the comfort of any location of your choice.
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
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
Best practice for log data
Coring – an overview of whole and sidewall core logging
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
QC core data and bias check
Preliminary zonation determination
Routine Core Analysis (RCA)
Special Core Analysis (SCAL)
Log preparation audit and normalization, data conditioning
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 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