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Record W2003809625 · doi:10.4043/16742-ms

Importance of Mass Transport Complexes in the Quaternary Development of the Nile Fan, Egypt

2004· article· en· W2003809625 on OpenAlexaff
Christopher Newton, R. Craig Shipp, D. Mosher, Grant Wach

Bibliographic record

VenueOffshore Technology Conference · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsGeological Survey of CanadaDalhousie University
Fundersnot available
KeywordsProgradationQuaternaryGeologyAlluvial fanSedimentary rockGeomorphologyPaleontologySedimentary depositional environmentStructural basin

Abstract

fetched live from OpenAlex

Abstract Mass transport complexes (MTCs) within the Quaternary section of the ultra-deep water Nile Fan, offshore Egypt, form a significant portion of the Quaternary sedimentary section. This indicates the importance of mass-failure processes in deep water fan progradation. Regional mapping within the western platform of the Nile Fan reveals MTCs generally comprise 30%, but locally up to 94% of the Quaternary sedimentary column. Interpretation of the Quaternary section (upper 1 km of sediment) of a recently acquired, large, 3D seismic survey on the Nile Fan reveals the presence of five large mass transport complexes (MTCs) on the mid-slope of the western platform of the Nile Fan. These MTCs are on average 150 ms thick, but can obtain thicknesses of up to 357 ms. One of the MTCs is 175 km in length from the upper to the lower slope and comprises approximately 670 km3 of sediment. Introduction Slope failure deposits are common features of continental margins around the world1. Despite the fact that they are considered destructive sedimentary processes, their relevance to margin progradation is becoming increasingly recognized. Margin progradation is perhaps best studied in areas where, it is accelerated in high sedimentation rate environments, such as the deep water fan systems. The Nile Fan is the one of the largest deep water fans in the world. In ultra-deep water, the Quaternary section is in excess of 1 km thick. It is the objective of this study to investigate the architecture of the Quaternary section of the deep water Nile fan, and to understand the role of mass transport processes in the construction and progradation of the fan system. Slope failure is generally recognized by identifying escarpments, unconformities, and sedimentary deposits with certain characteristics suggesting mass transport (e.g., hummocky surfaces and incoherent internal reflections). Without referring to a specific physical process or depositional style, these deposits are referred to as mass transport complexes (MTCs). Large mass transport complexes are considered to be those that are generally greater that 2500 km2 in area and up to several hundreds of metres thick. The deep water continental slope environment has been studied for some time, but it is only recently that the oil and gas industry has become interested in these areas for their enormous hydrocarbon potential. This interest, combined with seismic imaging improvements and widespread availability of 3D seismic data, has resulted in large 3D seismic surveys of continental slope margins worldwide. From an industry perspective, research conducted using these datasets, has greatly improved understanding of turbidite channel and levee systems. Other important elements of deep water depositional system, such as the role and significance of MTCs, have been overlooked. A large 3D seismic data set has been acquired over the Nile Fan (Figure 1) and will provide the foundation for this investigation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.222
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations34
Published2004
Admission routes1
Has abstractyes

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