An Interactive 5-Day Training Course
Diagenesis & Reservoir Quality Prediction
Predicting Porosity and Permeability
Secure your spot now!
Duration
5 Days
Price
$ 3,500
Starting From
22 Feb 2027
Home Geology and Geoscience Diagenesis & Reservoir Quality Prediction
Diagenesis & Reservoir Quality Prediction
Have Questions ?
Diagenesis & Reservoir Quality Prediction - GG-DIA-PEA27
| Code | Date | Time | Duration | Location | Currency | Normal Fee Per Person |
|---|---|---|---|---|---|---|
| GG-DIA-PEA27 | 22 - 26 Feb 2027 | 10 AM CST | 4 Hours Per Day |
Online |
USD |
3500 |
Need this for a group? We deliver the same course in-house — face-to-face at your location or online — tailored to your assets and team level. Contact info@peassociations.com.
Boost your team's skills and your budget! Enjoy group discounts for collaborative learning. Send an inquiry to info@peassociations.com.
Diagenesis & Reservoir Quality Prediction
Description
Reservoir quality at depth is the outcome of a history, not a property of a facies. Two sandstones of identical depositional texture can have porosities differing by twenty units at the same depth because one was heated faster, one had a grain coating that inhibited quartz cement, one had a different detrital composition, or one was overpressured during burial. Predicting reservoir quality in an undrilled prospect or in an undrilled part of a field therefore requires the controls on diagenesis to be identified and applied, which is a different exercise from describing the diagenesis that occurred.
This training develops diagenesis for predictive use. Compaction is established first, covering mechanical compaction and its grain size and composition controls, the compaction porosity loss curve, chemical compaction and the role of overpressure in retarding compaction. Quartz cementation follows, treated as the principal porosity destroyer in deeply buried sandstones, with its temperature dependence, its silica sources, its kinetic controls and the effect of grain coatings. Carbonate cementation, feldspar dissolution, and clay mineral diagenesis including the smectite to illite reaction and its consequences are then developed. Porosity preservation mechanisms are covered in detail, including chlorite and microquartz coatings, early hydrocarbon emplacement, overpressure and rapid burial. Carbonate diagenesis and dolomitisation are developed in their own right. Analytical methods follow, covering petrography, cathodoluminescence, fluid inclusion, isotope and radiometric methods and the diagenetic histories they establish. The training closes with predictive modelling, including empirical, process-based and analogue approaches, and the integration of reservoir quality prediction into prospect and development evaluation.
Quartz cementation is temperature controlled, which makes thermal history the first-order predictor of sandstone reservoir quality at depth. Quartz precipitation becomes significant above roughly ninety degrees Celsius and accelerates with temperature, so the time a sandstone has spent above that threshold matters more than the depth it currently sits at. A sandstone buried rapidly and recently to four kilometres may retain good porosity, while one that has been at three kilometres and elevated temperature since the Cretaceous may be tight. Prediction therefore depends on burial and thermal history modelling, not on a depth porosity trend.
Grain coatings are the most important porosity preservation mechanism and they are depositionally controlled. Chlorite coatings formed from early alteration of iron-rich detrital material, and microquartz coatings derived from sponge spicules or volcanic glass, both inhibit quartz nucleation on grain surfaces and can preserve twenty per cent porosity at depths where uncoated sandstone would have five. Because the coating precursors are distributed by facies and provenance, the resulting reservoir quality distribution follows a depositional pattern, and this is one of the clearest routes from sedimentology to a predictive reservoir quality model.
The illite problem is a permeability problem rather than a porosity problem. The conversion of smectite to illite, and the illitisation of kaolinite in potassium-bearing systems, produces fibrous illite that grows into pore throats and reduces permeability by one or two orders of magnitude while leaving porosity largely intact. A reservoir with fifteen per cent porosity and illitic pore throats may not flow commercially, and the log response gives no warning. This is a specific prediction target, controlled by temperature, potassium availability and detrital clay composition.
Finally, prediction requires calibration and honest uncertainty. The practical approach combines a burial and thermal history, an understanding of the controlling processes, nearby well data as calibration and analogue data from comparable settings, producing a reservoir quality range with its reasoning stated. The failure mode is a single confident number derived from a global depth porosity trend, which is wrong in most specific cases and gives no indication of how wrong it might be.
By the end of this training, participants will be able to:
- Explain mechanical and chemical compaction and their controls on porosity loss
- Assess quartz cementation and its temperature and kinetic controls
- Evaluate carbonate cementation, dissolution and their distribution
- Interpret clay mineral diagenesis and its permeability consequences
- Identify porosity preservation mechanisms and their depositional controls
- Interpret carbonate diagenesis and dolomitisation in reservoir terms
- Select and interpret diagenetic analytical methods and establish a diagenetic history
- Relate diagenetic history to burial and thermal history
- Construct predictive reservoir quality models using empirical and process-based methods
- Apply reservoir quality prediction in prospect evaluation and development planning
Organisations sending participants to this training will:
- Improve reservoir quality prediction in exploration prospects
- Reduce dry holes and sub-commercial discoveries from reservoir quality failure
- Predict reservoir quality in undrilled parts of producing fields
- Identify permeability risks such as illitisation before drilling
- Specify diagenetic analytical programmes that answer predictive questions
- Improve the reservoir quality basis of volumetric and recovery estimates
Participants will:
- Establish diagenetic histories from petrographic and analytical data
- Relate reservoir quality to burial and thermal history
- Identify the specific controls governing quality in a given reservoir
- Predict reservoir quality with a stated range and reasoning
- Recognise permeability risks that porosity data conceals
- Build a capability that affects both exploration and development outcomes
- Exploration geologists assessing reservoir quality risk
- Reservoir geologists predicting quality away from well control
- Petrographers and sedimentologists supporting reservoir studies
- Petrophysicists working on rock typing and permeability
- Reservoir modellers populating property models
- Basin modellers integrating reservoir quality prediction
- Experienced geoscientists requiring predictive diagenetic capability
Module 1 - Diagenesis and Reservoir Quality
- Diagenetic regimes: eogenesis, mesogenesis, telogenesis
- Depositional texture as the starting point
- Initial porosity and its variation
- Porosity loss pathways: compaction and cementation
- Porosity creating processes
- Depth porosity trends and why they mislead
- Reservoir quality as a historical outcome
- The prediction problem and what it requires
- Controls that can be mapped against those that cannot
- Prediction in exploration against development settings
Module 2 - Compaction
- Mechanical compaction processes
- Grain rearrangement, deformation and fracturing
- Ductile grain compaction and its effect
- Grain size, sorting and composition controls
- Compaction curves and their variation by lithology
- Overpressure and compaction retardation
- Rapid burial and its effect
- Chemical compaction and pressure dissolution
- Stylolite formation and its controls
- Clay content and its effect on chemical compaction
- Compaction in carbonates against sandstones
- Estimating compactional porosity loss
Module 3 - Quartz Cementation
- Quartz cement as the principal deep porosity destroyer
- Temperature dependence and the onset threshold
- Precipitation kinetics and time temperature integration
- Silica sources: pressure dissolution, clay reactions, imported silica
- Grain surface area and nucleation
- Grain coating inhibition of quartz cement
- Chlorite coating formation and its precursors
- Microquartz coating and its silica sources
- Quartz overgrowth recognition and quantification
- Cathodoluminescence imaging of quartz cement
- Modelling quartz cementation
- Predicting quartz cement volume
Module 4 - Carbonate, Sulphate and Other Cements
- Calcite cement types and their timing
- Early concretionary and nodular cement
- Dolomite and ferroan dolomite cement
- Siderite and its environmental significance
- Anhydrite and barite cementation
- Carbonate cement sources and distribution
- Cemented layers and their continuity
- Carbonate dissolution and secondary porosity
- Feldspar dissolution and its products
- Secondary porosity and its preservation question
- Zeolite cementation in volcaniclastic sandstones
- Predicting cement distribution
Module 5 - Clay Mineral Diagenesis
- Detrital clay distribution and its facies control
- Authigenic clay types and their habits
- Kaolinite formation and its conditions
- Smectite to illite reaction and its controls
- Illitisation of kaolinite and potassium availability
- Fibrous illite and its permeability effect
- Chlorite formation and its porosity benefit
- Pore filling against pore lining against grain coating habits
- Clay effects on log response
- Clay effects on permeability and water saturation
- Formation damage sensitivity from clays
- Predicting illite risk
Module 6 - Porosity Preservation
- Grain coating mechanisms and their effectiveness
- Chlorite coated sandstone reservoirs and their occurrence
- Microquartz coated reservoirs
- Early hydrocarbon emplacement and cementation inhibition
- Overpressure and effective stress reduction
- Rapid recent burial and limited time at temperature
- Low geothermal gradient settings
- Grain composition and low reactivity
- Anomalously high porosity reservoirs and their explanations
- Preservation mechanism distribution by facies and provenance
- Identifying preservation mechanisms from petrography
- Using preservation mechanisms predictively
Module 7 - Carbonate Diagenesis
- Carbonate mineral stability and early alteration
- Marine cementation and its environments
- Meteoric diagenesis and dissolution
- Exposure surfaces and karst
- Mixing zone diagenesis
- Burial cementation in carbonates
- Chemical compaction and stylolitisation
- Dolomitisation models and their requirements
- Dolomite effects on porosity and permeability
- Anhydrite replacement and dedolomitisation
- Fracture related diagenesis and hydrothermal alteration
- Predicting carbonate reservoir quality
Module 8 - Analytical Methods and Diagenetic History
- Thin section petrography and point counting
- Scanning electron microscopy and element mapping
- Cathodoluminescence and its applications
- X-ray diffraction for clay mineralogy
- Fluid inclusion analysis and palaeotemperature
- Stable isotope analysis of cements
- Radiometric dating of illite and other cements
- Vitrinite reflectance and other maturity indicators
- Establishing a diagenetic sequence
- Relating diagenesis to burial and thermal history
- Specifying an analytical programme against a question
- Reading a diagenetic report critically
Module 9 - Predictive Modelling and Application
- Empirical reservoir quality prediction methods
- Depth and temperature based porosity models
- Process-based reservoir quality modelling
- Coupled compaction and cementation modelling
- Burial and thermal history input requirements
- Analogue data selection and its use
- Calibration against nearby well data
- Facies based reservoir quality distribution
- Rock typing informed by diagenesis
- Reservoir quality input to prospect volumetrics
- Expressing reservoir quality uncertainty
- Reservoir quality prediction in development planning
Upon successful completion of this training course, delegates will be awarded an official Certificate of Completion issued by the Petroleum Engineers Association (PEA), an ISO 9001:2015 certified training organization. The certificate carries 10 Credits and formally records the total learning hours completed.
Each certificate is signed by the Course Facilitator and the CEO of the Petroleum Engineers Association, and serves as verifiable proof of professional training that delegates can present to employers and professional bodies worldwide.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.