Supervised identification and reconstruction of near-planar geological surfaces from terrestrial laser scanning

Computers and Geosciences

Volumn 37, Issue 10, 2011, Pages 1584-1594

  Garcia Selles D ^a,b   Falivene, O ^a   Arbues P ^a   Gratacos, O ^a   Tavani, S ^a   Munoz J A ^a  

^a UNIVERSITY OF BARCELONA   (Spain)

^b SHELL GLOBAL SOLUTIONS INTERNATIONAL B V   (United States)

Author keywords

Bedding; Fractures; LIDAR; Moment of inertia analysis; Outcrop characterization; Segmentation

Indexed keywords

AUTOMATED EXTRACTION; AUTOMATED IDENTIFICATION; BEDDING; COARSE GRID; FAULT ORIENTATIONS; GENERIC APPROACH; GEOLOGICAL FEATURES; GEOLOGICAL INTERPRETATION; GEOLOGICAL SURFACE; GEOMETRIC PARAMETER; GRIDDING; MOMENT OF INERTIA; NEIGHBORING POINT; OFFICE ENVIRONMENTS; OUTCROP CHARACTERIZATION; PLANAR REGRESSION; POINT CLOUD; POLYLINES; QUALITY OF FIT; QUALITY PARAMETERS; RELATIVE LOCATION; SEGMENTATION METHODS; SPEED-UPS; TERRESTRIAL LASER SCANNING; TIME CONSTRAINTS; VISUAL IDENTIFICATION; WEATHER CONDITIONS;

COMPUTER AIDED DESIGN; FRACTURE; IDENTIFICATION (CONTROL SYSTEMS); LASER APPLICATIONS; OPTICAL RADAR; STEEL BEAMS AND GIRDERS;

THREE DIMENSIONAL;

FAULT; FRACTURE; LASER METHOD; LIDAR; LIMESTONE; OUTCROP; SEGMENTATION; STRUCTURAL GEOLOGY; THREE-DIMENSIONAL MODELING;

EID: 80052594087     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2011.03.007     Document Type: Article

References (57)

1. Adams E.W., Bellian J.A., Reyes R. Digital outcrop models reduce uncertainty and improve reservoir characterization. World Oil, September 2009, 46-49.
2. Adams E.W., Grotzinger J.P., Waters W.A., Schroder S., McCormick D., Al-Siyabi H. Digital characterization of thrombolite-stromatolite reef distribution in a carbonate ramp system (terminal Proterozoic, Nama Group, Namibia). American Association of Petroleum Geologists Bulletin 2005, 89:1293-1318.
3. Alexander J. A discussion on the use of analogues for reservoir geology. Advances in Reservoir Geology 1993, 175-194. M. Ashton (Ed.).
4. Awwad T.M., Zhu Q., Du Z., Zhang Y. An improved segmentation approach for planar surfaces from unstructured 3D point clouds. The Photogrammetric Record 2010, 25-129:5-23.
5. Banerjee S., Mitra S. Remote surface mapping using ortophotos and geologic maps draped over digital elevation models: applications to the Sheep Mountain anticline. Wyoming. American Association of Petroleum Geologists Bulletin 2004, 88:1227-1237.
6. Bellian J.A., Kerans C., Jennette D.C. Digital outcrop models: applications of terrestrial scanning LIDAR technology in stratigraphic modelling. Journal of Sedimentary Research 2005, 72:166-176.
7. Besl P.J., McKay N.D. A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 1992, 14:2.
8. Biosca J.M., Lerma J.L. Unsupervised robust planar segmentation of terrestrial laser scanner point clouds based on fuzzy clustering methods. ISPRS Journal of Photogrammetry and Remote Sensing 2008, 63:84-98.
9. Boulaassal H., Landes T., Grussenmeyer P. Automatic segmentation of building facades using terrestrial laser scanner. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2007, 36(3/W52):65-70.
10. Bryant I.D., Carr D., Cirilli P., Drinkwater N.J., McCormick D., Tilke P., Thurmond J. Use of 3D digital analogues as templates in reservoir modelling. Petroleum Geoscience 2000, 6:195-201.
11. Buckley S.J., Enge H.D., Carlsson C., Howell J.A. Terrestrial laser scanning for use in virtual outcrop geology. The Phogrammetric Record 2010, 25(131):225-239.
12. Buckley S.J., Howell J., Enge H.D., Kurz T.H. Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations. Journal of the Geological Society of London 2008, 165:625-638.
13. Cabello P., Falivene O., Lopez-Blanco M., Howell J., Arbues P., Ramos E. Modelling facies belt distribution in fan deltas coupling sequence stratigraphy and geostatistics: the Eocene Sant Llorenç del Munt example (Ebro foreland basin, NE Spain). Marine and Petroleum Geology 2009, 27:254-272.
14. Caine J.S., Evans J.P., Forster C.B. Fault zone architecture and permeability structure. Geology 1996, 24:1025-1028.
15. Dueholm K.S., Olsen T. Reservoir analog studies using multimodel photogrammetry: a new tool for the petroleum industry. American Association of Petroleum Geologists Bulletin 1993, 77:2023-2031.
16. Deutsch C.V., Journel A.G. GSLIB: Geostatistical Software Library and User's Guide 1998, Oxford University Press, New York, 350pp. 2nd edn.
17. Enge H.D., Buckley S.J., Rotevatn A., Howell J. From outcrop to reservoir simulation model: workflow and procedures. Geosphere 2007, 3:469-490.
18. Fabuel-Perez I., Hodgetts D., Redfern J. A new approach for outcrop characterization and geostatistical analysis of a low-sinuosity fluvial-dominated succession using digital outcrop models: upper Triassic Oukaimeden Sandstone Formation, central High Atlas, Morocco. American Association of Petroleum Geologists Bulletin 2009, 93:795-827.
19. Fabuel-Perez I., Hodgetts D., Redfern J. Integration of digital outcrop models (DOMs) and higher resolution sedimentology-Workflow and implications for geological modelling: Oukaimeden Sandstone Formation, High Atlas (Morocco). Petroleum Geoscience 2010, 16:133-154.
20. Falivene O., Arbués P., Howell J., Muñoz J.A., Fernández O., Marzo M. Hierarchical geocellular facies modelling of a turbidite reservoir analogue from the Eocene of the Ainsa Basin, NE Spain. Marine and Petroleum Geology 2006, 23:679-701.
21. Fernández O. Obtaining a best fitting plane through 3D georeferenced data. Journal of Structural Geology 2005, 27:855-858.
22. Fernández O., Muñoz J.A., Arbués P., Falivene O., Marzo M. Three-dimensional reconstruction of geological surfaces: an example of growth strata and turbidite systems from the Ainsa basin (Pyrenees, Spain). American Association of Petroleum Geologists Bulletin 2004, 88:1049-1068.
23. Fischler M., Bolles R. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communcations of the ACM 1981, 24:381-395.
24. Franceschi M., Teza G., Preto N., Pesci A., Galgaro A., Girardi S. Discrimination between marls and limestones using intensity data from terrestrial laser scanner. ISPRS Journal of Photogrammetry and Remote Sensing 2009, 64:522-528.
25. Gruen A., Akca D. Least squares 3D surface and curve matching. ISPRS Journal of Photogrammetry and Remote Sensing 2005, 59:151-174.
26. Hasler C.A., Adams E.W., Wood R.A., Dickson T. Fine-scale forward modelling of a Devonian patch reef, Canning Basin, Western Australia. Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction 2008, 40:37-40. Special Publication of the International Association of Sedimentology.
27. Hodgetts D., Drinkwater N.J., Hodgson D., Kavanagh J., Flint S., Keogh K.J., Howell J. Three dimensional geological models from outcrop data using digital collection techniques: an example from the Tanqua Karoo depocentre, South Africa. Geological Prior Information: Information Science and Engineering 2004, 239:57-75. Geological Society of London Special Publication.
28. Janson X., Kerans C., Bellian J.A., Fitchen W. Three-dimensional geological and synthetic seismic model of Early Permian redeposited basinal carbonate deposits, Victorio Canyon, West Texas. American Association of Petroleum Geologists Bulletin 2007, 91:1405-1436.
29. Jones R.R., Kokkalas S., McCaffrey K.J.W. Quantitative analysis and visualization of nonplanar fault surfaces using terrestrial laser scanning (LIDAR)-The Arkitsa fault, central Greece, as a case study. Geosphere 2009, 5:465-482.
30. Jones R.R., McCaffrey K.J.W., Clegg P., Wilson R.W., Holliman N.S., Holdsworth R.E., Imber J., Waggot S. Integration of regional to outcrop digital data: 3D visualization of multi-scale geological models. Computers and Geosciences 2009, 35:4-18.
31. Jones R.R., McCaffrey K.J.W., Wilson R.W., Holdsworth R.E. Digital field data acquisition: Towards increased quantification of uncertainty during geological mapping. Geological Prior Information: Information Science and Engineering 2004, 239:43-56. Geological Society of London Special Publications.
32. Keller P., Kreylos O., Vanco M., Hering-Bertram M., Cowgill E.S., Kellog L.,.H., Hamann B., Hagen H. Extracting and visualizing structural features in environmental point cloud LIDAR data sets. Topological Methods in Data Analysis and Visualization 2011, 179-192. V. Pascucci, X. Trioche, H. Hagen, J. Tierny (Eds.).
33. Kim Y.-S., Peacock D.C.P., Sanderson D.J. Fault damage zones. Journal of Structural Geology 2004, 26:503-517.
34. Kurtzman D., El Azzi J.A., Lucia F.J., Bellian J.A., Zahm C., Janson X. Improving fractured carbonate-reservoir characterization with remote sensing of beds, fractures, and vugs. Geosphere 2009, 5:126-139.
35. Labourdette R., Jones R.R. Characterization of fluvial architectural elements using a three-dimensional outcrop data set: Escanilla braided system, South-Central Pyrenees, Spain. Geosphere 2007, 3:422-434.
36. Loseth T., Thurmond J.B., Rivenaes J.C., Martinsen O., Aiken C., Xu X. Using outcrop data in the 21st Century. Atlas of Deep-Water Outcrops, AAPG Studies in Geology 2008, 56:16-20.
37. McCaffrey K.J.W., Feely M., Hennessy R., Thompson J. Visualization of folding in marble outcrops, Connemara, western Ireland: an application of virtual outcrop technology. Geosphere 2008, 4:588-599.
38. McCaffrey K.J.W., Jones R.R., Holdsworth R.E., Wilson R.W., Clegg P., Imber J., Holliman N., Trinks I. Unlocking the spatial dimension: digital technologies and the future of geoscience fieldwork. Journal of the Geological Society 2005, 162:927-938.
39. Miliaresis G., Kokkas N. Segmentation and object-based classification for the extraction of the building class from LIDAR DEMs. Computers and Geosciences 2007, 33:1076-1087.
40. Olariu M.I., Fergusson J.K., Aiken C., Xu X. Outcrop fracture characterization using terrestrial laser sanners: deep-water Jackfork sandstones at Big Rock Quarry, Arkansas. Geosphere 2008, 4:247-259.
41. Peternell M., Steiner T. Reconstruction of piecewise planar objects from point clouds. Computer-Aided Design 2004, 36:333-342.
42. Pranter M.J., Cole R.D., Panjaitan H., Sommer N.K. Sandstone-body dimensions in a lower coastal-plain depositional setting: lower Williams Fork Formation, Coal Canyon, Piceance Basin, Colorado. American Association of Petroleum Geologists Bulletin 2009, 93:1379-1401.
43. Pringle J.K., Howell J.A., Hodgetts D., Westerman A.R., Hodgson D.M. Virtual outcrop models of petroleum reservoir analogues: a review of the current state-of-the-art. First Break 2006, 24:33-41.
44. Pringle J.K., Westerman A.R., Clark J.D., Drinkwater N.J., Gardiner A.R. 3D high-resolution digital models of outcrop analogue study sites to constrain reservoir model uncertainty: an example from Alport Castles, Derbyshire, UK. Petroleum Geoscience 2004, 10:343-352.
45. Pringle J.K., Westerman A.R., Gardiner A.G. Virtual geological outcrops: fieldwork and analysis made less exhaustive?. Geology Today 2004, 20:64-69.
46. Pyles D.R., Jennette D.C., Tomasso M., Beaubouef R.T., Rossen C. Concepts learned from a 3D outcrop of a sinuous slope channel complex: Beacon Channel Comples, Brushy Canyon Formation, West Texas, USA. Journal of Sedimentary Research 2010, 80:67-96.
47. Rabbani T., van den Heuvel F.A., Vosselman G. Segmentation of point clouds using smoothness constraint. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 2006, 36(Part 5):248-253.
48. Redfern J., Hodgetts D., Fabuel-Perez I. Digital analysis brings renaissance for petroleum geology outcrop studies in North Africa. First Break 2007, 25:81-87.
49. Roncella, R., Forlani, G., 2005, Extraction of Planar Patches from Point Clouds to Retrieve Dip and Dip Direction of Rock Discontinuities, Workshop, Laser Scanning 2005, Enschede, the Netherlands, September 12-14, pp. 162-167.
50. Rotevatn A., Buckley S.J., Howell J.A., Fossen H. Overlapping faults and their effect on fluid flow in different reservoir types: a LIDAR-based outcrop modeling and fluid simulation study. American Association of Petroleum Geologists Bulletin 2009, 93:407-427.
51. Thurmond J., Drezewiecki P.A., Xu X. Building simple multiscale visualizations of outcrop geology using virtual reality modeling language (VRML). Computers and Geosciences 2005, 31:913-919.
52. Trinks I., Clegg P., McCaffrey K.J.W., Jones R.R., Hobbs R., Holdsworth R.E., Holliman N., Imber J., Waggot S., Wilson R.W. Mapping and analysing virtual outcrops. Visual Geosciences 2006, 10:13-19.
53. Verwer K., Kenter J.A.M., Maathuis B., della Porta G. Stratal patterns and lithofacies of an intact seismic-scale carboniferous carbonate platform (Asturias, northwestern Spain): A virtual outcrop model. Geological Prior Information: Information Science and Engineering 2004, 239:29-41. Geological Society of London Special Publications.
54. Viseur, S., 2010. Automated Methods for Fully Exploring and Interpreting LIDAR Data Points. In: Proceedings of the EAGE Meeting, Barcelona, 4pp.
55. Vosselman G., Gorte B., Sithole G., Rabbani T. Recognising structure in laser scanner point clouds. International Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences 2004, 46(Part 8/W2):33-38.
56. Woodcoock N.H. Specification of fabric shapes using an eigenvalue method. Geological Society of America Bulletin 1977, 88:1231-1236.
57. Xu X., Aiken C.L., Bhattacharya J.P., Corbeanu R., Nielsen K.C., McMechan G.A., Abdelsalam M.G. Creating virtual 3-D outcrop. The Leading Edge, February 2000, 197-202.