An Interactive 5-Day Training Course
Outcrop Analogues for Reservoir Prediction
From Exposed Rock to Reservoir
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Duration
5 Days
Price
$ 3,000
Starting From
18 Jan 2027
Home Geology and Geoscience Outcrop Analogues for Reservoir Prediction
Outcrop Analogues for Reservoir Prediction
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Outcrop Analogues for Reservoir Prediction - GG-FLD-PEA27
| Code | Date | Time | Duration | Location | Currency | Early Bird Fee Per Person |
|---|---|---|---|---|---|---|
| GG-FLD-PEA27 | 18 - 22 Jan 2027 | 10 AM CST | 4 Hours Per Day |
Online |
USD |
3000 |
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Outcrop Analogues for Reservoir Prediction
Description
Between a well, which samples a few inches, and seismic, which resolves perhaps twenty metres vertically, lies the scale at which reservoir architecture actually controls flow. Channel width, sand body connectivity, shale drape continuity, bar geometry and the arrangement of flow units all operate at that intermediate scale and are invisible to both. Outcrops expose exactly that scale, and analogue study is the principal means of constraining it. This training covers how that is done properly.
The training develops analogue practice from selection onward. Analogue selection is treated as a technical decision requiring justification against depositional environment, climate, tectonic setting, sediment supply, accommodation and scale, since a poorly matched analogue is worse than none. Outcrop description follows: measured sections, facies schemes, architectural element analysis, bounding surface hierarchy and the recording conventions that make data usable afterwards. Quantitative capture is then covered, including body dimension measurement, width to thickness relationships, connectivity statistics and net to gross determination. Digital outcrop methods, photogrammetry, lidar and the models they produce are addressed. The training closes with scaling to the subsurface, the use of analogue data in variograms, object dimensions and training images, and an honest treatment of where the analogue approach fails.
Analogue selection determines whether the exercise is useful or actively misleading. A meander belt from a humid temperate setting with high accommodation has channel dimensions, stacking patterns and connectivity quite different from a braided system in an arid basin with low accommodation, and applying statistics from one to the other produces confident wrong numbers. The selection has to be argued from depositional process and basin setting, not from superficial facies similarity, and the argument should be documented alongside the data.
Bias in outcrop data is systematic and correctable. Outcrops expose what resists erosion, which over-represents well cemented sandstones and under-represents mudstones. They are usually two-dimensional cliff faces cut at an arbitrary angle to palaeoflow, so apparent channel widths are not true widths without correction. They terminate at the edge of exposure, so bodies larger than the outcrop are recorded as truncated or missed entirely. Each of these biases pushes the resulting statistics in a known direction, and quantitative analogue work that does not address them produces distributions that are wrong in a predictable way.
Connectivity is the property analogues are most valuable for and the hardest to measure. Whether sand bodies in a stacked succession are in communication determines drainage, well spacing and recovery, and it depends on net to gross, on body geometry and on the degree of amalgamation. Outcrops allow this to be observed directly where the exposure is good enough, and the resulting relationships between net to gross and connectivity are among the most transferable analogue outputs available.
Finally, analogues inform models rather than replacing interpretation. The useful output is a set of constrained ranges, channel width between these values, width to thickness ratio in this band, shale drape continuity of this order, that make a static model behave realistically. Treating an analogue as a template to be copied onto a subsurface interpretation produces models that reproduce a different field.
By the end of this training, participants will be able to:
- Select outcrop analogues and justify the selection against depositional and basin setting criteria
- Log measured sections and apply consistent facies and facies association schemes
- Conduct architectural element analysis and define bounding surface hierarchies
- Measure sand body dimensions and correct for exposure orientation and truncation bias
- Determine net to gross, amalgamation ratio and connectivity from outcrop data
- Acquire and interpret digital outcrop models using photogrammetry and lidar methods
- Scale analogue observations appropriately to subsurface reservoir conditions
- Apply analogue statistics to variogram ranges, object dimensions and training images
- Integrate analogue constraints with well, core and seismic data
- Recognise and state the limitations of an analogue and where it should not be applied
Organisations sending participants to this training will:
- Improve static model realism at the scale that controls flow behaviour
- Constrain well spacing and connectivity assumptions with evidence rather than default values
- Reduce history matching effort caused by unrealistic model architecture
- Improve reservoir prediction in sparsely drilled and frontier areas
- Build an internal analogue reference base that outlives individual projects
- Improve the technical defensibility of architectural assumptions in development plans
Participants will:
- Select and justify analogues on technical grounds
- Extract quantitative, bias-corrected data from outcrop exposures
- Apply analogue statistics correctly within reservoir models
- Understand reservoir architecture at the scale wells and seismic cannot resolve
- Recognise where an analogue does not apply and say so
- Build a capability that strengthens reservoir characterisation work
- Reservoir geologists and sedimentologists
- Reservoir modellers building static models
- Development geoscientists working on reservoir architecture
- Reservoir engineers concerned with connectivity and well spacing
- Exploration geoscientists working in sparsely drilled areas
- Technical staff reviewing static models and their assumptions
- Graduate geoscientists entering reservoir characterisation roles
Module 1 - The Analogue Approach
- The scale gap between well and seismic data
- What controls flow at the intermediate scale
- Role of analogues in reservoir characterisation
- Outcrop, subsurface and modern system analogues
- What analogues can constrain and what they cannot
- History of analogue use and its documented successes and failures
- Analogue databases and published compilations
- Building an analogue programme for an asset
- Cost and effort against value delivered
Module 2 - Analogue Selection
- Selection criteria and their relative weight
- Depositional environment and process matching
- Climate, sediment supply and provenance
- Tectonic setting and basin type
- Accommodation and stacking pattern
- Scale matching and dimensional comparability
- Grain size and lithological comparability
- Diagenetic history differences and their consequences
- Multiple analogues and their combination
- Documenting and defending an analogue selection
- Consequences of poor analogue selection
Module 3 - Outcrop Description and Logging
- Measured section logging conventions
- Grain size, sedimentary structures and bed contacts
- Facies definition and facies scheme design
- Facies associations and environmental interpretation
- Palaeocurrent measurement and analysis
- Ichnofacies and their environmental significance
- Correlation between sections
- Photopanel construction and annotation
- Field data recording standards and their importance
- Safety, access and logistics in outcrop work
Module 4 - Architectural Element Analysis
- Architectural element concept and its origins
- Bounding surface hierarchy and its definition
- Element types in fluvial systems
- Element types in deltaic and shoreface systems
- Element types in deep water systems
- Element types in carbonate systems
- Stacking patterns and their controls
- Amalgamation and its recognition
- Shale drapes, baffles and barriers
- Building an architectural model from outcrop
- Translating architecture into flow units
Module 5 - Quantitative Data Capture
- Dimensional measurement: width, thickness, length
- Apparent against true width and orientation correction
- Truncation bias where bodies exceed the exposure
- Width to thickness relationships and their use
- Aspect ratio distributions by environment
- Net to gross measurement from outcrop
- Amalgamation ratio and its determination
- Connectivity measurement and percolation concepts
- Barrier and baffle continuity measurement
- Statistical treatment of outcrop measurements
- Correcting for known outcrop biases
- Building a defensible quantitative data set
Module 6 - Digital Outcrop Models
- Digital outcrop model concept and applications
- Photogrammetry acquisition and processing
- Terrestrial and aerial lidar scanning
- Drone-based acquisition and its practicalities
- Georeferencing and accuracy
- Point clouds, meshes and textured models
- Interpretation on digital outcrop models
- Extracting surfaces and geometries digitally
- Virtual field trips and their training use
- Data volume, storage and sharing
- Limitations of digital models against field observation
Module 7 - Scaling to the Subsurface
- Scale differences between outcrop and reservoir
- Depositional scale variation within the same environment
- Scaling dimensional statistics appropriately
- Effect of differing accommodation and sediment supply
- Diagenetic differences between outcrop and buried reservoir
- Outcrop weathering and its effect on apparent properties
- Permeability differences between outcrop and subsurface samples
- Combining analogue data with well and seismic constraints
- Testing analogue-derived predictions against well results
- Updating analogue application as wells are drilled
Module 8 - Application in Reservoir Modelling
- Analogue input to variogram range selection
- Object dimensions for object-based modelling
- Training images for multi-point statistics
- Facies proportions and trends from analogues
- Barrier and baffle representation in models
- Connectivity calibration against analogue relationships
- Testing model realism against analogue architecture
- Analogue input to well spacing and drainage assessment
- Analogue input to recovery factor estimation
- Documenting analogue sources within a model
- Reviewing a static model against its analogue basis
- Limits of the approach and when not to use it
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.
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