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Record W2500100301 · doi:10.1190/1.9781560802197.ch4

Seismic Indicators of Natural Gas Hydrate and Underlying Free Gas

2010· book-chapter· en· W2500100301 on OpenAlex
G. D. Spence, R. Haacke, R. D. Hyndman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSociety of Exploration Geophysicists eBooks · 2010
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of VictoriaGeological Survey of Canada
Fundersnot available
KeywordsNatural gasChemistry

Abstract

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Seismic methods provide the most important means for detecting, mapping, and characterizing the distribution of natural gas hydrate and underlying free gas. Bottom-simulating reflectors (BSRs) are the most common indicator of the presence of gas hydrate. However, gas hydrate has been shown to occur without an underlying BSR, and significant gas-hydrate accumulations can occur well above the BSR. To obtain quantitative estimates of the amount of gas hydrate or free gas in the natural environment, we must examine the elastic properties of sediments with hydrate or gas and compare these with sediments that do not contain hydrate or gas phases. The most important seismic properties are P-wave and S-wave velocities, attenuation, and anisotropy. Because the P-wave velocity of pure gas hydrate is high (3650 m/s) compared with the sediments in which they occur, strong reflectors from the top of massive hydrate layers are sometimes observed. However, bright reflections below the BSR are more common observations and are produced by layers of low-velocity gas-charged sediments. Near-vertical seismic blank zones that extend upward to the seafloor from near the BSR are also detected; the blanking may be produced by vertical fractures that carry fluid and gas to the seafloor or by unusually high concentrations of gas hydrate or free gas within the sediments. Significant near-surface concentrations of massive gas hydrate have been found in some of these structures. Gas or fluid-venting sites are also associated with mounds or pockmarks on the seafloor or with anomalously high-seafloor reflectivity produced by authigenic carbonates or distributions of clam shells in the region of the vent. Borehole studies suggest that seismic attenuation in hydrate-bearing sediments increases at sonic log frequencies of 10–20 kHz. However, it is not clear that attenuation changes significantly at seismic frequencies of 20–150 Hz, particularly in surface reflection studies conducted at sea. The degree to which gas hydrate attenuates seismic waves is currently an active field of research. Recent research is also focused on determining S-wave velocities in hydrate-bearing sediments (particularly using P- to S-mode-converted waves) because S-wave velocities might be a particularly sensitive indicator of how gas hydrate is distributed in the pore space. In addition, P- to S-converted waves provide information on azimuthal seismic anisotropy, which can be used to determine the intensity and orientation of fractures in the subsurface. The hydraulic properties of the subsurface are important to understanding how hydrate-forming gases move through sediments and how gas hydrate is likely to be distributed within them. Recent estimates of gas hydrate and free-gas concentrations reported in the literature, based mainly on seismic velocity anomalies in the marine environment, seem to have converged: (1) regional hydrate concentrations are approximately 1%–10% of pore space in tectonically passive margins and about 5%–30% in accretionary wedges; (2) regional, subBSR free-gas concentrations are typically <4% of pore space in all tectonic environments (often <1%); and (3) hydrate concentrations in local vent structures approach 80%–100%.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.221
Teacher spread0.204 · 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