Using x-ray computed tomography to estimate hydrate saturation in sediment cores from Green Canyon 955, northern Gulf of Mexico

Oti, E.; Cook, A.; Phillips, Stephen C.; Holland, Melanie

doi:10.1306/05272120051

Cited by 3 publications

(3 citation statements)

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“…% and highs exceeding 90 vol. % for the reservoir (Collett et al., 2012; Flemings et al., 2020; Lee & Collett, 2012; Oti et al., 2022; Phillips et al., 2020). We predict negligible hydrate saturations above this reservoir interval (Figures 8 and 9), consistent with P‐wave velocity log interpretations (Lee & Collett, 2012).…”

Section: Resultsmentioning

confidence: 99%

“…% in the domed sediments overlying the diapir, and average 50 to over 80 vol. % in the ∼30-m-thick GH reservoir identified here (Collett et al, 2012;Flemings et al, 2020;Oti et al, 2022;Phillips et al, 2020), while saturations in the overlying sediments (183-266 mbsf) are estimated to be either negligible, based on P-wave velocity logs, or about 20 vol. %, based on a resistivity log .…”

Section: Green Canyonmentioning

confidence: 86%

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Salt Diapir‐Driven Recycling of Gas Hydrate

Burton

Dafov

2023

Geochem Geophys Geosyst

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By harnessing both hypothetical, synthetic basin and gas hydrate (GH) system models and real‐world models of well‐studied salt diapir‐associated GH sites at Green Canyon (Gulf of Mexico) and Blake Ridge (U.S. Atlantic coast), we propose and demonstrate salt movement (and in particular, diapirism) to be a new mechanism for the recycling of marine GH. At Green Canyon, for example, we show that by considering this newly proposed diapir‐driven recycling mechanism in conjunction with previously proposed lithological control on sandy‐reservoir‐hosted hydrate at the base of the GH stability zone (BGHSZ; ∼bottom‐simulating reflector, BSR), modeled GH saturations match drilling data. Overall, salt diapir movement‐induced GH recycling provides a temperature‐driven mechanism by which GH saturations at the BGHSZ may reach >90 vol. % and by which GH volumes near and free gas volumes beneath the BGHSZ may be increased significantly through time. Interestingly, comparison of salt diapir‐driven recycling and sediment burial‐driven recycling scenarios suggests notably higher rates of recycling via diapir‐driven versus burial‐driven processes. Our results suggest that GH and associated free gas accumulations above salt diapir crests represent particularly attractive targets for unconventional and conventional hydrocarbon resource exploration and for scientific and academic drilling expeditions aimed at exploiting GH systems. Salt basins containing GH systems—including passive margin basins of the Gulf of Mexico, southeastern Brazil, and southwestern Africa—are therefore compelling localities for studying salt‐driven GH recycling and for salt diapir‐associated natural gas exploration.

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Section: Resultsmentioning

confidence: 99%

Section: Green Canyonmentioning

confidence: 86%

Salt Diapir‐Driven Recycling of Gas Hydrate

Burton

Dafov

2023

Geochem Geophys Geosyst

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“…When hydrate saturation exceeds ~40%, hydrate begins to form a rigid framework; at that saturation, there is a distinct increase in formation moduli that increases V p relative to water-saturated sediments [6]. Hydrate in marine muds and clays is usually observed in fractures, and those fractures likely grow in place due to the formation of hydrate and methane supplied via microbial methanogenesis [7]. V p , however, does not usually increase significantly in hydrate-filled fractures, as these accumulations usually have lower hydrate saturation than sand or silt layers [8].…”

Section: Introductionmentioning

confidence: 99%

Estimating Compressional Velocity and Bulk Density Logs in Marine Gas Hydrates Using Machine Learning

Naim,

Cook,

Moortgat

2023

Energies

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Compressional velocity (Vp) and bulk density (ρb) logs are essential for characterizing gas hydrates and near-seafloor sediments; however, it is sometimes difficult to acquire these logs due to poor borehole conditions, safety concerns, or cost-related issues. We present a machine learning approach to predict either compressional Vp or ρb logs with high accuracy and low error in near-seafloor sediments within water-saturated intervals, in intervals where hydrate fills fractures, and intervals where hydrate occupies the primary pore space. We use scientific-quality logging-while-drilling well logs, gamma ray, ρb, Vp, and resistivity to train the machine learning model to predict Vp or ρb logs. Of the six machine learning algorithms tested (multilinear regression, polynomial regression, polynomial regression with ridge regularization, K nearest neighbors, random forest, and multilayer perceptron), we find that the random forest and K nearest neighbors algorithms are best suited to predicting Vp and ρb logs based on coefficients of determination (R2) greater than 70% and mean absolute percentage errors less than 4%. Given the high accuracy and low error results for Vp and ρb prediction in both hydrate and water-saturated sediments, we argue that our model can be applied in most LWD wells to predict Vp or ρb logs in near-seafloor siliciclastic sediments on continental slopes irrespective of the presence or absence of gas hydrate.

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Review of permeability analysis methods in gas hydrate-bearing natural sediments with high permeability characteristics

Xu,

Konno

2024

Marine and Petroleum Geology

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Using x-ray computed tomography to estimate hydrate saturation in sediment cores from Green Canyon 955, northern Gulf of Mexico

Cited by 3 publications

References 0 publications

Salt Diapir‐Driven Recycling of Gas Hydrate

Salt Diapir‐Driven Recycling of Gas Hydrate

Estimating Compressional Velocity and Bulk Density Logs in Marine Gas Hydrates Using Machine Learning

Review of permeability analysis methods in gas hydrate-bearing natural sediments with high permeability characteristics

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