All Automated digital Outcrop
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1 Renewable energies Eco-friendly production Innovative transport Eco-efficient processes Sustainable resources All Automated digital Outcrop Enhancing reservoir characterization & modeling with outcrop reservoir analogues
2 Outline 1. SmartAnALOG Project 2. Acquisition of 3D outcrop model State of the art Benefits of our choice Multiscale & multi focal acquisitions 3. Virtual Outcrop Analysis Software : VIRTUOSO The Ainsa Channel an example of a complete workflow
3 Outline 1. SmartAnALOG Project 2. Acquisition of 3D outcrop model State of the artbenefits of our choice Multiscale & multi focal acquisitions 3. Virtual Outcrop Analysis Software : VIRTUOSO The Ainsa Channel an example of a complete workflow
4 SmartAnALOG? Objectives of the SmartAnALOG project 3D outcrop modelling Import 3D geological outcrop studies into a geomodelisation software Light and fast acquisition Moderate processing time Easy integration of field data Link with geomodelers (Petrel, Gocad) To enhance reservoir characterization & modelling
5 SmartAnalog Workflow
6 Outline 1. SmartAnALOG Project 2. Acquisition of 3D outcrop model State of the art Benefits of our choice Multiscale & multi focal acquisitions 3. Virtual Outcrop Analysis Software : VIRTUOSO The Ainsa Channel an example of a complete workflow
7 Acquisition : State of the Arts LIDAR (Light Detection And Ranging) Photogrammetry The choice was obvious...
8 Benefits of photogrammetry acquisition & modelisation Easy & fast acquisition Easy : just know how to take a good picture ex: Ainsa 30 minutes for ground acquisition 1 hour for aerial acquisition (but greater coverage) Automatic method MultiScale & MultiFocal acquisition High Precision 1 to 50 cm in relative 2 to 3 m in absolute Low cost acquisition A camera with a prime lens A handeld GPS
9 Relative precision : Geometry and Scale of the 3D model Absolute precision : Positionning accuracy of the 3D model in a cartographic reference system <!--Origin in Spatial Reference System--> <SRSOrigin>759285, ,0</SRSOrigin> RTK GPS positionning : Y = X = Z = X= = Y= = Z = = Jacob Staff measured on the model Δx = 2.36 m Δy = 0.48 m Δz=1.63 m
10 MultiScale & multi focal acquisition Sony NEX7 19mm lens Limits of the air/ground texture Canon5D 24mm lens
11 Outline 1. SmartAnALOG Project 2. Acquisition of 3D outcrop model States of the arts Benefits of our choice Multiscales & multi focal acquisitions 3. Virtual Outcrop Analysis Software : VIRTUOSO The Ainsa Channel example of a complete workflow
12 VIRTUOSO (Virtual Outcrop Analysis Software ) Virtuoso
13 Virtuoso : Virtual Outcrop Analysis software Polylines digitalization (illustrating geologic horizon, fault and fracture Property painting (e.g. Facies) Strike/Dip measurement Distance measurement Polylines & Facies Export in ascii format Easy to import in Gocad/Petrel Object transparency control (Display enhancement) User Interface Display
14 Outcrop interpretation Horizon picking Litho-units definition Export in geomodel Surface construction To build the reservoir grid
15 Outcrop interpretation Property painting (facies)
16 Outcrop interpretation Fracture picking & semi-automated recognition
17 Model construction Geomodel 1 - Bounding horizons picked directly on the 3D outcrop model Geostatistics 1 Computed from data interpreted on outcrop, directly from the interpretation (exported cloud of points) 2 - Surfaces reconstructed from polylines and structural dips 3 - Pointset extracted from the photogrammetric model 4 - Geological grid built from the surfacic model 2 - Variograms are computed from the facies pointsets 3- Vertical proportion curves and matrix of proportion computed from local VPC for each unit
18 Geological modelling Objectives: Compare models using conventional dataset and 3D outcrop interpretation Premier niveau Deuxième niveau Troisième niveau Pseudo 1D dataset 3 pseudo-wells with facies interpretation VS Fully interpreted outcrop
19 Geostat. parameters Heterolithics Full outcrop Pseudo-wells Pointset Pointset points 8400 points Horizontal variograms 2 ranges corresponding to the outcrop configuration (channel bottom confinement) Ranges difficult to interpret Picks corresponds to pseudowells
20 Results Dataset: pseudowells vs. outcrop interpretation Full outcrop interpretation Continuous dataset Heterogeneity continuity well represented Pseudo 1D dataset 4 pseudowells with facies interpretation Very smoothed facies distribution Heterogeneity continuity poorly represented
21 SmartAnALOG video
22
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