Outcrops Revitalized—Tools, Techniques and Applications: An Introduction

Martinsen, Ole J.; Pulham, Andrew J.; Haughton, Peter D. W.; Sullivan, Morgan D.

doi:10.2110/sepmcsp.10.003

Cited by 9 publications

(9 citation statements)

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“…2). Most of the features, such as ripple marks, cross-beds, and soft-sediment deformation structures (Martinsen et al, 2008) were viewable by all participants from a paved path along the top of the cliffs. Some smaller-scale features, such as sand volcanoes and fault surfaces, required descending steps to an eroded cliff platform and thus were not accessible to everyone.…”

Section: Kilkee County Clarementioning

confidence: 99%

Using Mobile Technologies to Enhance Accessibility and Inclusion in Field-Based Learning

Whitmeyer¹,

Atchison²,

Collins³

2020

GSAT

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The relevance of field education in the geosciences has been subject to increasing scrutiny, in part due to the exclusionary nature of traditional field practices that require independent work and physical agility. As an alternative, this article presents strategies for increasing accessibility and inclusion in collaborative field-based education through the use of mobile technologies. We present a series of examples to show how the use of mobile technologies in the field can enable collaborative observation, data collection, data sharing, and interpretation. The strategies developed in these examples provide equitable access to instruction, peer engagement, and participation in every field exercise. We suggest that technological approaches to accessibility and inclusion in the field can facilitate opportunities for all students to gain field experiences that are an important component of geoscience education.

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Section: Kilkee County Clarementioning

confidence: 99%

Using Mobile Technologies to Enhance Accessibility and Inclusion in Field-Based Learning

Whitmeyer¹,

Atchison²,

Collins³

2020

GSAT

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“…From thin shale bed representing short hiatus between a single rapid depositional event to thick inter-lobe complex representing long episodes of fan shutdown, each of these mud-prone bounding units has unique dimension and duration, which in fact is the key to correctly interpret the entire lobe hierarchy. For example, detailed bed-to-bed correlation of the deepwater turbidite lobe successions in the Ross Sandstone, western Ireland suggests that, although the system is very sand-rich with Net-to-Gross ratio (NTG) about 80% and sand bodies have great lateral continuity and connectivity, the key to understand reservoir performance and internal heterogeneities is the distributions of fine-grained units which work as baffles and barriers due to their impermeable nature (Martinsen et al, 2008;Zhang et al, 2013). However, when it comes to real exploration of deepwater turbidite lobe reservoirs, these important muddy units are too thin (except some inter-lobe complexes) to be captured by seismic data.…”

Section: Lobe Complexmentioning

confidence: 99%

Deepwater Turbidite Lobe Deposits: A Review of the Research Frontiers

Zhang

Mao

Wang

2017

Acta Geologica Sinica - English Edition

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Deepwater/deep‐marine turbidite lobes are the most distal part of a siliciclastic depositional system and hold the largest sediment accumulation on the seafloor. As many giant hydrocarbon provinces have been discovered within deepwater lobe deposits, they represent one of the most promising exploration targets for hydrocarbon industry. Deepwater exploration is characterized by high cost, high risk but insufficient data because of the deep/ultra–deepwater depth. A thorough understanding of the deepwater turbidite lobe architecture, hierarchy, stacking pattern and internal facies distribution is thus vital. Recently, detailed outcrop characterizations and high–resolution seismic studies have both revealed that the deepwater lobe deposits are characterized into four–fold hierarchical arrangements from “beds”, to “lobe elements”, to “lobes” and to “lobe complex”. Quantitative compilations have shown that hierarchical components of lobe deposits have similar length to width ratios but different width to thickness ratios depending on different turbidite systems. At all hierarchical scales, sand–prone hierarchical lobe units are always separated by mud–prone bounding units except when the bounding units are eroded by their overlying lobe units thus giving rise to vertical amalgamation and connectivity. Amalgamations often occur at more proximal regions suggesting high flow energy. A mixed flow behavior may occur towards more distal regions, resulting in deposition of “hybrid event beds”. These synthesized findings could (1) help understand the lobe reservoir distribution and compartmentalization therefore benefit the exploration and development of turbidite lobes within the deep marine basins (e.g. South China Sea) and (2) provide rules and quantitative constraints on reservoir modeling. In addition, the findings associated with deepwater turbidite lobes might be a good starting point to understand the sedimentology, architecture and hierarchy of turbidites in deep lacustrine environment.

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“…The use of LIDAR has become more widely used in reservoir outcrop analogue studies (Pringle et al, 2006;Martinsen et al, 2011) because it can generate DOMs on reservoir scale and provide data that can easily be implemented in geocellular reservoir models. However, quantification of geological information and subsequent interpretation obtained from DOMs both form challenges that are fairly new.…”

Section: Study Aims and Context Of Digital Outcrop Characterizationmentioning

confidence: 99%

“…However, quantification of geological information and subsequent interpretation obtained from DOMs both form challenges that are fairly new. Digital fieldwork on the DOM is required to gather data, and techniques have to be created or adapted to handle and interpret these new types of data (Kemeny et al, 2006;Martinsen et al, 2011;Monsen et al, 2011;Hodgetts, 2013).…”

Section: Study Aims and Context Of Digital Outcrop Characterizationmentioning

confidence: 99%

Multi-scale three-dimensional distribution of fracture- and igneous intrusion- controlled hydrothermal dolomite from digital outcrop model, Latemar platform, Dolomites, northern Italy

Jacquemyn¹,

Huysmans²,

Hunt³

et al. 2015

Bulletin

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A B S T R A C TIn recent years, fracture-controlled (hydrothermal) dolomitization in association with igneous activity has gained interest in hydrocarbon exploration. The geometry and distribution of dolomite bodies in this setting are of major importance for these new plays. The Latemar platform presents a spectacularly exposed outcrop analogue for carbonate reservoirs affected by igneous activity and dolomitization.Light detection and ranging (LIDAR) scanning and digital outcrop models (DOMs) of outcrops offer a great opportunity to derive geometrical information. Only a few analysis methods exist to quantitatively assess huge amounts of georeferenced threedimensional lithology data. This study presents a novel quantitative approach to describe three-dimensional spatial variation of lithology derived from DOMs. This approach is applied to the Latemar platform to determine dolomite body geometry and distribution in relation to crosscutting dikes.A high-resolution photorealistic DOM of the Latemar platform allows description of dolomite occurrences in three dimensions, with high precision at platform scale. This results in a unique lithology dataset of limestone, dolomite, and dike positions. This dataset is analyzed by true three-dimensional variography for the geospatial description of dolomite distribution. In most

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Outcrops Revitalized—Tools, Techniques and Applications: An Introduction

Cited by 9 publications

References 0 publications

Using Mobile Technologies to Enhance Accessibility and Inclusion in Field-Based Learning

Using Mobile Technologies to Enhance Accessibility and Inclusion in Field-Based Learning

Deepwater Turbidite Lobe Deposits: A Review of the Research Frontiers

Multi-scale three-dimensional distribution of fracture- and igneous intrusion- controlled hydrothermal dolomite from digital outcrop model, Latemar platform, Dolomites, northern Italy

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