Abstract
3D digital photorealistic models (3DPM) are an approach by which real-world objects or settings, such as an outcrop site in the field, can be represented digitally on a computer from the convenience of one’s lab or office. Applications of this technology are many; for example, oil and gas companies have used such technology to analyze and visualize outcrops in order to enhance their studies in reservoir characterization. In addition, the technology can be used for educational purposes and virtual field trips without the expense or time consumption needed for an on-site visit. Hence, 3DPM can save time, effort, and money by allowing thorough study and interpretation of an outcrop to be done from an office or laboratory, including by experts who may be located anywhere in the world. However, creating high-resolution 3DPM is complex and time-consuming. Additionally, depending on the choice of 3D data capture method, there have been limitations regarding the maximum resolution and model detail that can be acquired. Herein, new techniques are described for improving the speed, accuracy, and quality of workflows to create 3DPM, specifically in the case of using LiDAR and independently collected photographs so as to achieve a maximum in photographic resolution (within millimeters) and quality. These techniques were developed to meet the real-life constraints of an actual project funded by a major oil company (Saudi Aramco). A novel approach for applying high focal length, high-resolution photographs as texture to a 3D model surface that is separately acquired by LiDAR is shown. The approach relies on integrating a camera that is robotically mounted and controlled separately from the laser scanner together with the novel use of an imaging total station to register the photographic and LiDAR data together. Additional improvements relating to photograph management, processing, and model quality are shown. Results are shown from a case study where very high-resolution (up to 2 millimeters photographical and 2 centimeters geometrical) photorealistic models in two locations of Saudi Arabia have been created, demonstrating with a real-life project how time, effort, and cost can be dramatically reduced.
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References
Aiken C, Xu X, Thurmond J, Abdelsalam M, Olariu M, Olariu C, Thurmond A (2004a) 3D laser scanning and virtual photorealistic outcrops: aAcquisition, visualization and analysis, AAPG Short Course no.3. American Association of Petroleum Geologists, p 100
Aiken C, Xu X, Neubert B (2004b) Scanners, digital cameras and 3D models: oOne-day short course. Texas Society of Professional Surveyors, p 78
Alfarhan M (2010) Geosciences Information System (GeoIS): A geospatial paradigm for real and virtual 3D worlds. Dissertation, University of Texas. p 114
Alfarhan M, Tuck D, White L, Aiken C (2008) Laser rangefinders and ArcGIS combined with 3D photorealistic modeling for mapping outcrops in the Slick Hills, Oklahoma. Geosphere 4(3):576–587
Alfarhan M, Deng J, White L, Meyer R, Oldow J, Krause F, Aiken C, Aguilera R (2009) LiDAR technology as a means of improving geologic, geophysical and reservoir engineering evaluations: From rocks to realistic fluid flow models. Canadian International Petroleum Conference (CIPC)
Alhumimidi MS, Alfarhan MS, Cline JR et al (2017) Application of a 3D photorealistic model for the geological analysis of the Permian carbonates (Khuff Formation) in Saudi Arabia. Arab J Geosci 10:112. https://doi.org/10.1007/s12517-017-2874-7
Bellian JA, Kerans C, Jennette DC (2005) Digital outcrop models: Applications of terrestrial scanning lidar technology in stratigraphic modeling. Journal of Sedimentary Research 75(2):166–176
GIM International (2007) 3D Laser Mapping Launches Riegl LPM 321, https://www.gim-international.com/content/news/3d-laser-mapping-launches-riegl-lpm-321
Haneberg WC (2008) Using close range terrestrial digital photogrammetry for 3-D rock slope modeling and discontinuity mapping in the United States. Bull Eng Geol Environ 67:457–469
Heritage G, Hetherington D (2007) Towards a protocol for laser scanning in fluvial geomorphology. Earth Surf Process Landforms 32:66–74
Hodgetts D (2013) Laser scanning and digital outcrop geology in the petroleum industry: A review. Mar Pet Geol 46:335–354
McCaffrey KJW, Jones RR, Holdsworth RE, Wilson RW, Clegg P, Imber J, Hollman N, Trinks I (2005) Unlocking the spatial dimension: Digital technologies and the future of geoscience fieldwork. J Geol Soc 162(6):927–938
Olariu J, Bhattacharya, Xu X, Aiken C, Zeng X, Mcmechan G (2005) Using outcrop data in the 21st Century – New methods and applications, with example from the Ainsa Turbidite System, Ainsa, Spain. Integrated study of ancient delta front deposits, using outcrop, ground penetrating radar and three-dimension photorealistic data: Cretaceous Panther Tongue sandstone, Utah, River Deltas: Concepts, Models and Examples J. P. Bhattacharya and L. Giosan (eds.). Tulsa, SEPM Special Publication 83.
Oldow JS, Walker JD, Aiken CLV, Xu X (2006) Digital acquisition, analysis, and visualization in the earth sciences. Eos (Transactions, American Geophysical Union) 87:351
Osman M, Abdullatif O, Al-Farhan M, Eltom H, Bashri M (2014) High resolution stratigraphy and reservoir heterogeneity of Khartam Member of Khuff Formation from Outcrop, Saudi Arabia, 76th EAGE Conference and Exhibition 2014, doi: 10.3997/2214-4609.20141677
Powel EA (2010) Petra’s sSister cCity. Archaeology Archive, pp 20–26
Thurmond J (2005) Building simple multi-scale visualizations of outcrop geology using virtual reality modeling language (VRML). Comput Geosci 31:913
Thurmond J, Loseth T, Rivenaes J, Martinsen O, Xu X, Aiken C (2005) Using outcrop data in the 21st cCentury–nNew methods and applications, with example from the Ainsa Turbidite System, Ainsa, Spain. In: Nilsen T et al (eds) Deep-water outcrops of the world atlas: Tulsa. American Association of Petroleum Geologists Special Publication CD-ROM, Oklahoma
White LS (2010) The development of computer algorithms for the construction and analysis of photorealistic 3D virtual models of geologica outcrops. Dissertation, UT-Dallas. p 125
White L, Alfarhan M, Aiken C (2009) The construction and analysis of 3D photorealistic models of geological outcrops. SPAR Point Research 2009, 3D Imaging and Positioning for Engineering / Construction / Manufacturing. 6th Annual Conference on 3D Laser Scanning, Dynamic Survey, LiDAR and Dimensional Control, 2009, Denver, Colorado
Xu X (2000) 3D virtual geology: Photorealistic outcrops and their acquisition, visualization and analysis. Dissertation, University of Texas. p 169
Xu X, Aiken C, Nielsen KS (1999) Real time and the virtual outcrop improve geological field mapping. Eos (Transactions, American Geophysical Union) 80(317):322–324. https://doi.org/10.1029/99EO00232
Xu X, Aiken C, Bhattacharya JR, Corbeanu RM, Nielsen KC, McMechan GA, Abdelsalam MG (2000) Creating virtual 3-D outcrop. Leading Edge 19:197–202. https://doi.org/10.1190/1.1438576
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The authors would like to extend their sincere appreciation to the Saudi Aramco Upstream Development Center (UPDC) team for their support and for providing the vision which made this research happen.
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Alfarhan, M.S., Alhumimidi, M.S., Cline, J.R. et al. 3D digital photorealistic models from the field to the lab. Arab J Geosci 13, 550 (2020). https://doi.org/10.1007/s12517-020-05517-1
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DOI: https://doi.org/10.1007/s12517-020-05517-1