3-D Reconstruction Of Digital Outcrop Model Based On Multiple View Images And Terrestrial Laser Scanning

This paper presents a comparative study about 3D reconstruction based on active and passive sensors, mainly LiDAR – Terrestrial Laser Scanner (TLS) and raster images (photography), respectively. An accuracy analysis has been performed in the positioning of outcrop point clouds obtained by both techniques. To make the comparison feasible, datasets are composed by point clouds generated from multiple images in different poses using a consumer digital camera and directly by terrestrial laser scanner. After preprocessing stages to obtain these point clouds, both are compared, through the positional discrepancies and standard deviation. A preliminary analysis has been shown the feasible employment of digital image jointly 3D reconstruction method for digital outcrop modeling, concerning with data acquisition at low cost without significantly lost of accuracy when compared with LiDAR.

[1]  Jamie K. Pringle,et al.  3D high-resolution digital models of outcrop analogue study sites to constrain reservoir model uncertainty: an example from Alport Castles, Derbyshire, UK , 2004, Petroleum Geoscience.

[2]  David Hodgetts,et al.  Integration of digital outcrop models (DOMs) and high resolution sedimentology – workflow and implications for geological modelling: Oukaimeden Sandstone Formation, High Atlas (Morocco) , 2010 .

[3]  Mohammed Alfarhan,et al.  Laser rangefinders and ArcGIS combined with three-dimensional photorealistic modeling for mapping outcrops in the Slick Hills, Oklahoma , 2008 .

[4]  John B. Thurmond,et al.  Building simple multiscale visualizations of outcrop geology using virtual reality modeling language (VRML) , 2005, Comput. Geosci..

[5]  E. Baltsavias,et al.  Digital Surface Modelling by Airborne Laser Scanning and Digital Photogrammetry for Glacier Monitoring , 2001 .

[6]  Robbie Gries,et al.  American Association of Petroleum Geologists (AAPG) , 2002 .

[7]  H. Kessler,et al.  Reconstructing flood basalt lava flows in three dimensions using terrestrial laser scanning , 2011 .

[8]  Richard R. Jones,et al.  A cost-efficient solution to true color terrestrial laser scanning , 2008 .

[9]  S. Buckley,et al.  Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations , 2008, Journal of the Geological Society.

[10]  John A. Howell,et al.  Overlapping faults and their effect on fluid flow in different reservoir types: A LIDAR-based outcrop modeling and flow simulation study , 2009 .

[11]  Charles Kerans,et al.  Three-dimensional geological and synthetic seismic model of Early Permian redeposited basinal carbonate deposits, Victorio Canyon, west Texas , 2007 .

[12]  P. Hennings,et al.  Complex fracture development related to stratigraphic architecture: Challenges for structural deformation prediction, Tensleep Sandstone at the Alcova anticline, Wyoming , 2009 .

[13]  Piotr Jasiobedzki,et al.  Photo-realistic 3D model reconstruction , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[14]  John A. Howell,et al.  From outcrop to reservoir simulation model: Workflow and procedures , 2007 .

[15]  C. Kerans,et al.  Digital Outcrop Models: Applications of Terrestrial Scanning Lidar Technology in Stratigraphic Modeling , 2005 .

[16]  David Hodgetts,et al.  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 , 2009 .

[17]  Kenneth J. W. McCaffrey,et al.  Quantitative analysis and visualization of nonplanar fault surfaces using terrestrial laser scanning (LIDAR)—The Arkitsa fault, central Greece, as a case study , 2009 .

[18]  Richard A. Beck,et al.  Analysis of hyperspectral and lidar data: Remote optical mineralogy and fracture identification , 2007 .

[19]  X. Janson,et al.  Improving fractured carbonate-reservoir characterization with remote sensing of beds, fractures, and vugs , 2009 .

[20]  J. Howell,et al.  Impact of deltaic clinothems on reservoir performance: Dynamic studies of reservoir analogs from the Ferron Sandstone Member and Panther Tongue, Utah , 2010 .

[21]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[22]  C. Kerans,et al.  Architectural Characterization and Three-Dimensional Modeling of a Carbonate Channel–Levee Complex: Permian San Andres Formation, Last Chance Canyon, New Mexico, U.S.A. , 2007 .

[23]  John F. Ferguson,et al.  Outcrop fracture characterization using terrestrial laser scanners: Deep-water Jackfork sandstone at big rock quarry, Arkansas , 2008 .

[24]  Peter J. Fawcett,et al.  Chronotopographic analysis directly from point-cloud data: A method for detecting small, seasonal hillslope change, Black Mesa Escarpment, NE Arizona , 2007 .