Integration of digital outcrop models (DOMs) and high resolution sedimentology – workflow and implications for geological modelling: Oukaimeden Sandstone Formation, High Atlas (Morocco)

Fabuel-Perez, I.; Hodgetts, David; Redfern, Jonathan

doi:10.1144/1354-079309-820

Cited by 71 publications

(41 citation statements)

References 46 publications

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“…The construction of outcrop models follows the approach presented by Fabuel-Perez et al (2010) and comprises three discrete phases, namely: the alignment and merger of individual scans; the consolidation of point clouds prior to surface reconstruction and optimization; and the texture mapping of triangular irregular network meshes with referenced photo-imagery.…”

Section: Digital Outcrop Model Constructionmentioning

confidence: 99%

Comparison of digital outcrop and conventional data collection approaches for the characterization of naturally fractured reservoir analogues

Seers

Hodgetts

2013

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In this study, fracture systems developed within faulted, high-porosity sandstones in the decommissioned mines of Alderley Edge, Cheshire, UK are characterized using lidar (Light Detection And Ranging)-based analysis. The geometry of the mine workings prove to be conducive to the extraction of fracture attributes, whilst providing a degree of exposure of a notable Triassicaged reservoir outcrop analogue (Helsby Sandstone Formation) not afforded at the surface.To test the fidelity of the approach, fracture statistics generated from lidar-derived digital outcrop models are compared to an equivalent dataset collected using conventional manual surveys, with digital outcrop and manually acquired fracture attributes used to populate discrete fracture network models. These are upscaled to provide equivalent porous medium properties, enabling the impact of uncertainties introduced into fracture modelling workflows by lidarbased techniques to be assessed.Whilst broadly comparable to fracture attributes obtained using manual surveys, the systematic underrepresentation of fracture properties is observed within lidar-derived dataset, resulting in the underestimation of fracture network flow capacity. The study results suggest that, whilst enhancing data acquisition rates and coverage of exposure surfaces, the use of digital discontinuity analysis may introduce additional biases into fracture datasets, increasing the level of uncertainty within resultant modelled networks.

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Section: Digital Outcrop Model Constructionmentioning

confidence: 99%

Comparison of digital outcrop and conventional data collection approaches for the characterization of naturally fractured reservoir analogues

Seers

Hodgetts

2013

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“…These detailed 3D reconstructions of outcrop geology are applied to a broad range of studies, including sedimentology and stratigraphy (e.g., Hodgetts et al, 2004;Enge et al, 2010;Fabuel-Perez et al, 2010;Eide and Howell, 2014;Rarity et al, 2014;Rittersbacher et al, 2014), reservoir modelling (e.g., Enge et al, 2007;Rotevatn et al, 2009;Buckley et al, 2010), and structural geology (e.g., Seers and Hodgetts, 2014;Bistacchi et al, 2015, among others). Light Detection and Ranging (LiDAR) has been the principal acquisition technique for deriving virtual outcrops in the last decade (e.g., Pringle et al, 2006;Buckley et al, 2008;Jones et al, 2009), though acquiring this type of detailed 3D spatial data requires expensive instrumentation and significant knowledge of processing workflows.…”

Section: Introductionmentioning

confidence: 99%

LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models

Cawood

Bond

Howell

et al. 2017

Journal of Structural Geology

183

120

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a b s t r a c tLight Detection and Ranging (LiDAR) and Structure from Motion (SfM) provide large amounts of digital data from which virtual outcrops can be created. The accuracy of these surface reconstructions is critical for quantitative structural analysis. Assessment of LiDAR and SfM methodologies suggest that SfM results are comparable to high data-density LiDAR on individual surfaces. The effect of chosen acquisition technique on the full outcrop and the efficacy on its virtual form for quantitative structural analysis and prediction beyond single bedding surfaces, however, is less certain. Here, we compare the accuracy of digital virtual outcrop analysis with traditional field data, for structural measurements and along-strike prediction of fold geometry from Stackpole syncline. In this case, the SfM virtual outcrop, derived from UAV imagery, yields better along-strike predictions and a more reliable geological model, in spite of lower accuracy surface reconstructions than LiDAR. This outcome is attributed to greater coverage by UAV and reliable reconstruction of a greater number of bedding planes than terrestrial LiDAR, which suffers from the effects of occlusion. Irrespective of the chosen acquisition technique, we find that workflows must incorporate careful survey planning, data processing and quality checking of derived data if virtual outcrops are to be used for robust structural analysis and along-strike prediction.

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“…Those authors illustrated how 3D datasets from modern environments could be used to look at internal architecture and geometry, and that being able to view the analogue data in the same 3D environment as the subsurface data allowed interpreters to make direct comparisons between outcrop and subsurface data, as well as allowing the analogues to be used as explicit controls on the modelling of the subsurface reservoir (Bryant et al, 2000). This early work set the scene for the development of digital outcrop geology from the use of differential GPS, laser rangefinder/ total station surveying (Contreras et al, 2003;Hodgetts et al, 2004;McCaffrey et al, 2005;Pringle et al, 2006;Xu, 2000;Xu et al, 2000Xu et al, , 1999Xu et al, , 2001 through to the lidar and photo-realistic model based approaches used today (Alfarhan et al, 2008;Bellian et al, 2005;Buckley et al, 2008b;Enge et al, 2007;Fabuel-Perez et al, 2010;Hodgetts et al, 2007;Jones et al, 2010;Olariu et al, 2011aOlariu et al, , 2011bRedfern et al, 2007;van Lanen et al, 2009;Wilson et al, 2009b).…”

Section: Early Work On Digital Outcrop Geologymentioning

confidence: 99%

Laser scanning and digital outcrop geology in the petroleum industry: A review

Hodgetts

2013

Marine and Petroleum Geology

175

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Integration of digital outcrop models (DOMs) and high resolution sedimentology – workflow and implications for geological modelling: Oukaimeden Sandstone Formation, High Atlas (Morocco)

Cited by 71 publications

References 46 publications

Comparison of digital outcrop and conventional data collection approaches for the characterization of naturally fractured reservoir analogues

Comparison of digital outcrop and conventional data collection approaches for the characterization of naturally fractured reservoir analogues

LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models

Laser scanning and digital outcrop geology in the petroleum industry: A review

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