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Record W2898479330

3-D seismic investigations of northern Cascadia marine gas hydrates

2001· dissertation· en· W2898479330 on OpenAlexaboutno aff
Michael Riedel

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2001
Typedissertation
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsClathrate hydrateGeologySeismologyOceanographyGeochemistryPetroleum engineeringMining engineeringEarth scienceHydrateChemistry
DOInot available

Abstract

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This dissertation presents results from 3-D (parallel 2-D) high resolution
\nseismic surveys and associated studies over an area with deep sea
\ngas hydrate occurrence. The study area is located on the accretionary
\nprism of the northern Cascadia subduction zone offshore Vancouver Island,
\nCanada.
\nThe major objectives of this study were the imaging of a gas/fluid vent
\nfield found in the study area and detailed mapping of the tectonic setting
\nand geological controls on fluid/gas venting. Secondary objectives were
\nthe characterization of the gas hydrate occurrence and constraints on the
\nseismic nature of the bottom-simulating reflector (BSR) and its spatial
\ndistribution.
\nThe main grid was 40 lines at 100 m spacing with eight perpendicular
\ncrossing lines of multichannel and single channel seismic reflection, and
\n3.5 kHz subbottom profiler data. In addition to the main 3-D seismic grid,
\ntwo smaller single channel grids (25 m spacing) were collected over the vent
\nfield. The multichannel seismic data acquired with the Canadian Ocean
\nAcoustic Measurement System (COAMS) streamer required correction
\nfor irregular towing depth and shot point spacing. A new array element
\nlocalization (AEL) technique was developed to calculate receiver depth
\nand offset. The individual receiver depths along the COAMS streamer
\nvaried between 10-40 m, which resulted in the occurrence of a prominent
\nreceiver ghost that could not be completely removed from the seismic data.
\nThe ghost resulted in limited vertical resolution and a coarse velocity depth
\nfunction.
\nThe vent field is characterized by several blank zones that are related to
\nnear-surface deformation and faulting. These zones are 80-400 m wide
\nand can be traced downward through the upper 100-200 m thick slope
\nsediment section until they are lost in the accreted sediments that lack coherent
\nlayered reflectivity. The blank zones are also characterized by high
\namplitude rims that are concluded to result from the interference effect
\nof diffractions. These diffractions result due to relatively sharp discontinuities
\nin the sediment physical properties at the blank zone boundary.
\n2-D vertical incidence seismic modeling suggests an increase in P-wave
\nvelocity inside of the blank zone with only minor changes in density.
\nBlanking is believed to be mainly the effect of increased hydrate formation
\nwithin the fault planes. The faults are conduits for upward migrating
\nfluids and methane gas that is converted into hydrate once it reaches the
\nhydrate stability field. Carbonate formations at the seafloor can also
\ncontribute to blanking especially at higher frequencies. Free gas may be
\npresent in case of full hydrate saturation or strong fluid flow. Geochemical
\nanalyses of pore water and water-column samples carried out in cooperation
\nwith Scripps Institute of Oceanography indicate relatively low fluid
\nfluxes of less than 1 mm/yr and there is no heat flow anomaly present over
\nthe vent field. Methane concentrations of 20 n-moles/L (about 8 times the
\nocean background concentration) were detected in water-column samples
\nof the first 100-200 m above the main blank zone of the vent field. Venting
\nis also believed to be strongly episodic with a recently more quiet time.
\nHowever, the observed carbonate crusts indicate a long-term activity of
\nthe vents.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.239
Teacher spread0.224 · 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 teacher head, not a consensus.

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

Citations18
Published2001
Admission routes1
Has abstractyes

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