Geological data extraction from lidar 3-D photorealistic models: A case study in an organic-rich mudstone, Eagle Ford Formation, Texas

Geosphere

Volumn 10, Issue 3, 2014, Pages 610-626

  Minisini, Daniel ^a   Wang, Miao ^a,b   Bergman, Steven C ^a   Aiken, Carlos ^b  

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

^b UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENTONITE; CHARACTERIZATION; DATA MINING; FRACTURE MECHANICS; GEOLOGIC MODELS; HYDROCARBONS; LIMESTONE; OPTICAL RADAR; STRUCTURAL GEOLOGY; UNCERTAINTY ANALYSIS;

EMPIRICAL RELATIONSHIPS; EXPLORATION AND DEVELOPMENT; GEOLOGICAL FEATURES; LIDAR (LIGHT DETECTION AND RANGING); ORGANIC-RICH MUDSTONE; QUANTITATIVE CHARACTERIZATION; STATISTICAL CHARACTERIZATION; UNCONVENTIONAL HYDROCARBONS;

ROCKS;

DATA PROCESSING; HYDROCARBON EXPLORATION; HYDROCARBON RESERVOIR; LIDAR; MUDSTONE; OUTCROP; THREE-DIMENSIONAL MODELING; UNCERTAINTY ANALYSIS;

TEXAS; UNITED STATES;

EID: 84904626682     PISSN: None     EISSN: 1553040X     Source Type: Journal    
DOI: 10.1130/GES00937.1     Document Type: Article

References (54)

1. Alfarhan, M., 2010, Geosciences information system (GeoIS): A geospatial paradigm for real and virtual 3D worlds [Ph.D. thesis]: Dallas, University of Texas at Dallas, 140 p.
2. Alfarhan, M., White, L., Dean Tuck, D., and Aiken, C., 2008, Laser rangefinders and ArcGIS combined with three-dimensional photorealistic modeling for mapping outcrops in the Slick Hills, Oklahoma: Geosphere, v. 4, p. 576-587, doi: 10.1130 /GES00130.1.
3. Amann, M.C., Bosch, T., Lescure, M., Myllyla, R., and Rioux, M., 2001, Laser ranging: A critical review of usual techniques for distance measurement: Optical Engineering, v. 40, p. 10-19, doi: 10.1117 /1.1330700.
4. Axelsson, P., 1999, Processing of laser scanner data-Algorithms and applications: ISPRS Journal of Photogrammetry and Remote Sensing, v. 54, p. 138-147, doi: 10.1016 /S0924 -2716 (99)00008 -8.
5. Baltsavias, E.P., 1999, Airborne laser scanning: Existing systems and firms and other resources: ISPRS Journal of Photogrammetry and Remote Sensing, v. 54, p. 164-198, doi: 10.1016 /S0924 -2716 (99)00016 -7.
6. Bellian, J.A., Kerans, C., and Jennette, D.C., 2005, Digital outcrop models: Applications of terrestrial scanning Lidar technology in stratigraphic modeling: Journal of Sedimentary Research, v. 75, p. 166-176, doi: 10.2110/jsr.2005.013.
7. Bosch, T., and Lescure, M., 1995, eds., Selected papers on laser distance measurement: SPIE Milestone Series MS115: Bellingham, Washington, SPIE Optical Engineering Press, 719 p.
8. Bracco Gartner, G.L., 2000, High resolution impedance models of outcrops and their applications in seismic interpretation [Ph.D. thesis]: Amsterdam, Vrije Universiteit, 144 p.
9. Brown, L.G., 1992, A survey of image registration techniques:ACM Computing Surveys, v. 24, p. 352-376.
10. Buckley, S.J., Howell, J.A., Enge, H.D., Leren, B.L.S., and Kurz, T.H., 2006, Integration of terrestrial laser scanning, digital photogrammetry and geostatistical methods for high-resolution modelling of geological outcrops: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, v. 36, part B5, 6 p.
11. Buckley, S.J., Howell, J.A., Enge, H.D., and Kurz, T.H., 2008, Terrestrial laser scanning in geology: Data acquisition, processing and accuracy considerations: Geological Society of London Journal, v. 165, p. 625-638, doi: 10.1144 /0016 -76492007 -100.
12. Buckley, S.J., Enge, H.D., Carlsson, C., and Howell, J.A., 2010, Terrestrial laser scanning for use in virtual outcrop geology: Photogrammetric Record, v. 25, p. 225-239, doi: 10.1111 /j.1477 -9730.2010.00585.x.
13. Clegg, P., Trinks, I., McCaffrey, K.J.W., Holdsworth, R.E., Jones, R.R., Hobbs, R., and Waggot, S., 2005, Toward the virtual outcrop: Geoscientist, v. 15, p. 8-9.
14. Desmares, D., Grosheny, D., Beaudoin, B., Gardin, S., and Gauthier-Lafaye, F., 2007, High resolution stratigraphic record constrained by volcanic ash beds at the Cenomanian-Turonian boundary in the Western Interior Basin, USA: Cretaceous Research, v. 28, p. 561-582, doi: 10.1016 /j.cretres.2006.08.009.
15. Enge, H.D., Buckley, S.J., Rotevatn, A., and Howell, J.A., 2007, From outcrop to reservoir simulation model:Workflow and procedures: Geosphere, v. 3, p. 469-490, doi: 10.1130 /GES00099.1.
16. Fabuel-Perez, I., Hodgetts, D., and Redfern, J., 2009, 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, v. 93, p. 795-827, doi: 10.1306/02230908102.
17. Gross, R.M., and Eyal, Y., 2007, Throughgoing fractures in layered carbonate rocks: Geological Society of America Bulletin, v. 119, p. 1387-1404, doi: 10.1130 /0016-7606 (2007)119[1387: TFILCR]2.0.CO;2.
18. Heritage, G., and Large, A., 2009, Principle of 3D laser scanning, in Heritage, G., and Large, A., eds., Laser scanning for the environmental sciences: Chichester, Wiley-Blackwell, p. 21-34.
19. Hodgetts, D., 2013, Laser scanning and digital outcrop geology in the petroleum Industry: A review: Marine and Petroleum Geology, v. 46, p. 335-354, doi: 10.1016 /j .marpetgeo.2013.02.014.
20. Hodgetts, D., Drinkwater, N.J., Hodgson, J., Kavanagh, J., Flint, S.S., Keogh, K.J., and Howell, J.A., 2004, Three-dimensional geological models from outcrop data using digital data collection techniques: An example from the Tanqua Karoo depocentre, South Africa, in Curtis, A., and Wood, R., eds., Geological prior information: Informing science and engineering:Geological Society of London Special Publication 239, p. 57-75, doi: 10.1144 /GSL.SP.2004.239.01.05.
21. Jones, R.R., McCaffrey, K.J.W., Wilson, R.W., and Holdsworth, R.E., 2004, Digital field data acquisition:Towards increased quantification of uncertainty during geological mapping, in Curtis, A., and Wood, R., eds., Geological prior information: Informing science and engineering: Geological Society of London Special Publication 239, p. 43-56, doi: 10.1144 /GSL.SP.2004.239.01.04.
22. Kraybill, W.B., Collins, G.J., Link, L.E., Swift, R.N., and Butler, M.I., 1984, Airborne laser topographic mapping results: Photogrammetric Engineering and Remote Sensing, v. 50, p. 685-694.
23. Labourdette, R., and Jones, R.R., 2007, Characterization of fluvial architectural elements using a three-dimensional outcrop data set: Escanilla braided system, south-central Pyrenees, Spain: Geosphere, v. 3, p. 422-434, doi:10.1130 /GES00087.1.
24. Lanen, X.M.T., Hodgetts, D., Redfern, J., and Fabuel-Perez, I., 2009, Applications of digital outcrop models: Two fluvial case studies from the Triassic Wolfville Fm., Canada and Oukaimeden Sandstone Fm., Morocco:Geological Journal, v. 44, p. 742-760, doi: 10.1002 /gj .1196.
25. Lemmens, M., 2011, Geo-information: Technologies, applications and the environment: Springer Science+Business Media B.V., 349 p.
26. Lock, B.E., and Peschier, L., 2006, Boquillas (Eagle Ford) upper slope sediments, west Texas: Outcrop analogs for potential shale reservoirs: Gulf Coast Association of Geological Societies Transactions, v. 56, p. 491-508.
27. Mallet, C., and Bretar, F., 2009, Full-waveform topographic lidar: State-of-the-art: ISPRS Journal of Photogrammetry and Remote Sensing, v. 64, p. 1-16, doi: 10.1016/j.isprsjprs.2008.09.007.
28. McCaffrey, K., Holdsworth, I.R., Clegg, P., De Paola, N., Jones, R., Hobbs, R., Holliman, N., and Trinks, I., 2005, Putting the geology back into Earth models: Eos (Transactions, American Geophysical Union), v. 86, no. 46, p. 461, doi: 10.1029 /2005EO460001.
29. McCaffrey, K., Hodgetts, D., Howell, J., Hunt, D., Imber, J., Jones, R.R., Tomasso, M., Thurmond, J., and Viseur, S., 2010, Virtual fieldtrips for petroleum geoscientists, in Vining, B.A., et al., eds., Petroleum geology: From mature basins to new frontiers-Proceedings of the 7th Petroleum Geology Conference: Geological Society of London Petroleum Geology Conference series 7, p. 19-26, doi: 10.1144 /0070019.
30. McGlone, J.C., Mikhail, E.M., and Bethel, J., eds., 2004, Manual of photogrammetry (fifth edition): Bethesda, Maryland, American Society for Photogrammetry And Remote Sensing, 1151 p.
31. Miller, B., 1965, Laser altimeter may aid in photo mapping:Aviation Week & Space Technology, March 29, p. 29.
32. Miller, R.W., 1990, The stratigraphy and depositional environment of the Boquillas Formation of southwest Texas [M.S. thesis]: Arlington, University of Texas at Arlington, 156 p.
33. Narr, W., and Suppe, J., 1991, Joint spacing in sedimentary rocks: Journal of Structural Geology, v. 13, p. 1037-1048, doi: 10.1016 /0191 -8141 (91)90055 -N.
34. Olariu, M., Ferguson, J.F., and Aiken, C., 2008, Outcrop fracture characterization using terrestrial laser scanners:Deep-water Jackfork sandstone at Big Rock Quarry, Arkansas: Geosphere, v. 4, p. 247-259, doi: 10.1130 /GES00139.1.
35. Olariu, M.I., Aiken, C., Bhattacharya, J.P., and Xu, X., 2011, Interpretation of channelized architecture using threedimensional photo real models, Pennsylvanian deep water deposits at Big Rock Quarry, Arkansas: Marine and Petroleum Geology, v. 28, p. 1157-1170, doi: 10.1016 /j.marpetgeo.2010.12.007.
36. Oldow, J.S., Walker, J.D., Aiken, C., and Xu, X., 2006, Digital acquisition, analysis, and visualization in the earth sciences: Eos (Transactions, American Geophysical Union), v. 87, p. 351, doi: 10.1029 /2006EO350006.
37. Pringle, J., Gardiner, A., and Westerman, R., 2004, Virtual geological outcrops-Fieldwork and analysis made less exhaustive: Geology Today, v. 20, p. 67-71, doi: 10.1111 /j.1365 -2451.2004.00450.x.
38. Pringle, J.K., Brunt, R.L., Hodgson, D.M., and Flint, S.S., 2010, Capturing stratigraphic and sedimentological complexity from submarine channel complex outcrops to digital 3D models, Karoo Basin, South Africa:Petroleum Geoscience, v. 16, p. 307-330, doi: 10.1144/1354 -079309 -028.
39. Redfern, J., Hodgetts, D., and Fabuel-Perez, I., 2007, Digital analysis brings renaissance for petroleum geology outcrop studies in North Africa: First Break, v. 25, no. 2, p. 81-87.
40. Schlanger, S.O., and Jenkyns, H.C., 1976, Cretaceous oceanic anoxic events: Causes and consequences: Geologie & Mijnbouw, v. 55, p. 179-184.
41. Sellards, E.H., Adkins, W.S., and Plummer, E.B., 1932, The geology of Texas, Volume I: Stratigraphy: University of Texas Bulletin 3232, 1007 p.
42. Shan, J., and Toth, C., eds., 2008, Topographic laser ranging and scanning: Principles and processing: Boca Raton, Florida, CRC Press, 590 p.
43. Sima, A.A., Buckley, S.J., Kurz, T.H., and Schneider, D., 2012, Semi-automatic integration of panoramic hyperspectral imagery with photorealistic lidar models: Photogrammetrie, Fernerkundung: Geoinformation, v. 4, p. 439-450.
44. Soler, T., ed., 2011, CORS and OPUS for Engineers, Tools for surveying and mapping applications: Reston, Virginia, American Society of Civil Engineers, 186 p.
45. Thurmond, J., Loseth, T., Rivenaes, J., Martinsen, O., Xu, X., and Aiken, C., 2005, Collection, evaluation, and use of outcrop data in the 21st century-New methods and applications, with an example from the Ainsa Turbidite System, Spain, in Nilsen, T., et al., eds., Atlas of deep-water outcrops: American Association of Petroleum Geologists Studies in Geology 56, 20 p., CD, doi:10.1306 /12401010St563281.
46. Trevino, R.H., 1988, Facies and depositional environments of the Boquillas Formation, Upper Cretaceous of southwest Texas [M.S. thesis]: Arlington, University of Texas at Arlington, 119 p.
47. Trinks, I., Clegg, P., McCaffrey, K.J.W., Jones, R.R., Hobbs, R., Holdsworth, R.E., Holliman, N., Imber, J., Waggott, S., and Wilson, R., 2005, Mapping and analysing virtual outcrops: Visual Geosciences, v. 10, p. 13-19, doi: 10.1007 /s10069 -005 -0026 -9.
48. Vosselman, G., and Maas, H.-G., eds., 2010, Airborne and terrestrial laser scanning: Boca Raton, Florida, CRC Press, 318 p.
49. Wang, M., Rodriguez-Gomez, M.I., and Aiken, C., 2012, Interacting with existing 3D photorealistic outcrop models on site and in the lab or classroom, facilitated with an iPad and a PC, in Whitmeyer, S.J., et al., eds., Google Earth and virtual visualizations in geoscience education and research: Geological Society of America Special Paper 492, p. 263-283, doi: 10.1130/2012.2492(19).
50. White, L.S., 2010, The development of computer algorithms for the construction and analysis of photorealistic 3D virtual models of geological outcrops [M.S. thesis]:Dallas, University of Texas at Dallas, 138 p.
51. Wilson, J., and Hawkes, J.F.B., 1987, Lasers: Principles and applications (Prentice Hall International Series in Optoelectronics): Upper Saddle River, New Jersey, Prentice Hall, 320 p.
52. Xu, X., 2000, Three-dimensional virtual geology: Photorealistic outcrops, and their acquisition, visualization and analysis [Ph.D. thesis]: Dallas, University of Texas at Dallas, 189 p.
53. Xu, X., Aiken, C., and Nielsen, K.C., 1999, Real time and the virtual outcrop improve geological field mapping:Eos (Transactions, American Geophysical Union), v. 80, p. 317-324, doi: 10.1029 /99EO00232.
54. Xu, X., Aiken, C., Bhattacharya, J.P., Corbeanu, R.M., Nielsen, K.C., McMechan, G.A., and Abdelsalam, M.G., 2000, Creating virtual 3-D outcrop: Leading Edge, v. 19, p. 197-202, doi: 10.1190 /1.1438576.