IPLAM Integrated Petrophysics for Laminated and Low Resistivity Reservoirs – Clastics & Carbonates
Diagnosis and treats the primary problem with log analysis
Level
Intermediate
Type
Facetoface
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About Training
This course details ten techniques which radically improve shaly sand and low resistivity petrophysical evaluation in clastics and carbonates. Laminates, Low Resistivity Low Contrast Pay (LRLC), Shaly Sands, Bi-modal microporous and conductive mineral reservoirs are characterized, diagnosed and treated sequentially and accurately.
The course steps through a logical process to find commonly available powerful data to address the problem and then sets out the optimal evaluation path to achieve robust results for each reservoir type. All modern logs including XYZ Resistivity, NMR, Dielectric, Pulsar, LithoSpectral GR, Sigma and Image logs are covered, together with numerous core-log and log-log cross-calibration techniques.
The course includes the rigorous application of XYZ resistivities with Thomas Stieber and Qv as well as a Quick Look Shaly Sand evaluation of a routine logging run using a real-time Interactive Petrophysics template, with equations. This template can be reused for future wells with IP or other software (See PetroDB). Micro-practicals, videos and open discussion keeps this class an eye-opening and memorable learning experience, especially for those who have evaluated LRLC pay, who are encouraged to share their experiences.
Training Objectives
To teach you how to :
- Define and Identify Shaly Sands
- Identify Laminated and Low Resistivity Reservoir Types and flag Missed Pay
- Understand why these reservoirs are missed
- Pinpoint and acquire key data
- Use geo-facies and Petro facies effectively
- Calibrate HPV and kh correctly in Shaly Sands
- Understand and apply Thomas Steiber, Waxman Smits, Dual Water, Juhasz, Indonesia or other shaly sand techniques correctly
- Use NMR logs simply and correctly in LRLC
- Impress your team and carry them forward with your understanding and expertise!
Audiences
Operations Geologists, Experienced Log Analysts, Experienced Petrophysicists, Wellsite Geologists, Users of petrophysical results, Geo-modellers, Exploration Managers, Team Leaders. Anyone involved with the evaluation or modelling of Shaly Sand, Laminated or Low Resistivity Low Contrast (LRLC) pay reservoirs
Bring your laptop with MS Excel.
Instructor
MD
Mark Deakin, PhD
Mark Deakin is a consultant, author and course instructor in Petrophysical Data Integration. He holds a Ph.D. in ‘Integrated Petrophysics’ from London’s Imperial College, is an ex Amoco petrophysicist and has over 30 years’ experience, including 25 years as a course instructor. He has performed over 60 detailed reservoir studies worldwide; primarily in Southeast Asia’s low-contrast pay and carbonate & fractured reservoirs. Deakin’s approach is to identify and rank reserves uncertainties then guide companies towards defensible reserves and optimal development via the application of new technology, targeted data acquisition and the systematic, logical integration of all related data.
After his PhD Deakin authored the first public Integrated Petrophysics course in 1989 which evolved into the industry's benchmark petrophysics training course. This was followed by courses in Carbonate & Fracture petrophysics and three day focused modules on Quick Look Integration Techniques; How to use Modern Logs with SCAL; Low Resisivity Low Contrast Pay; Laminates & Thin Beds; How to use PetroDB effectively and a Renewable Energy.
Deakin's special interest has been using PetroDB (a generic, rock typed petrophysical database) and SCAL Digital Rock Physics with logs to identify Missed Pay and EOR. Since 2010 he has been drawn to the inevitability of Renewable Energy, writing the course Renewable Energy Primer in 2015. He is an active member of SPWLA and occasional lecturer at Curtin University and his consulting company PETROPHYSICS Pty Ltd has offices in Perth, Australia.
Daily Aims
- Petrophysical Reservoir Types
- Shaly Sands, Laminated & Low Resistivity Low Contrast Pay Reservoir Types
- Shaly Sand Reservoir Examples
- Laminated Reservoir Examples
- Low Resistivity Low Contrast Pay Reservoir Examples
- Log Identification of SS, LAM & LRLC: Routine Logs
- Recognising Missed Pay
- Exercise
- Effect on Reservoir Properties: SS, LAM & LRLC
- Effect on Measured Log Properties: SS, LAM & LRLC
- Why Routine Log Analysis Fails
- Why Waxman Smits, Dual Water and Indonesia Fail: Laminated
- Facies Based Petrophysics
- LRLC Pay: Spectral GR Logs
- Recommended Logs: Routine & Special
- Recommended Core, Mudlogs and Other data
- Exercise QL Shaly Sand
- Laminates – Quick Look Techniques
- Formation Pressure, Vlam, PetroDB
- X, Y, Z 3D Resistivity Tools
- The Klein Plot and Quick Look Sw
- Thomas Stieber Clay/Shale Distribution Model
- Determination of Rsand: Formal vs Quick Look
- Full Thomas Stieber Evaluation for HPV
- Exercise
- Checks on HPV results
- Refinement of TS Method with core: Rsd, Archie, WS
- Thomas Stieber Core Calibration
- Misuse of Routine Core Analysis in Laminated Reservoirs
- Author Quick Look Laminated Analysis – No 3D Resistivity
- Compare: Archie WS Author Full Thomas Stieber
- Laminated Reservoir Permeability
- Well tests, Core, Log reconciliation
- HPV vs kh
- Exercise Thomas Stieber vs NMR in Shaly Sand
- Non-Resistivity Methods
- Volumetric Methods
- NMR
- Dielectric
- Pulsar
- Image logs
- OBM Core HPV
- Exercise
- Saturation-Height Modelling in Laminates
- Capillary Pressure
- Minimum Required Data
- Lab Capillary pressure Data Quality and Flaws
- How to use Routine Core with SCAL
- Calibration of log data to Capillary pressure results
- Quick Look Saturation Height HPV
- Hierarchical Reconciliation of Results
- Facies, HPV, Permeability
- Saturation Height Exercise
- Geomodel checks
- Does your Geo-model correctly represent its inputs?
- Laminated Reservoir Petrophysics
- Exercise Saturation Height in LRLC pay
- Summary
- Key Recommendations
Training Schedule
Why Choose This Training
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Align with API/ASME standards. Trusted by major operators.
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Led by industry veterans with real field experience.
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Hands on calculations and decision making for FFS outcomes.
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