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Markov Chain Monte Carlo inversion of temperature and salinity structure of an internal solitary wave packet from marine seismic data (2016)
Journal Article
Tang, Q., Hobbs, R., Zheng, C., Biescas, B., & Caiado, C. (2016). Markov Chain Monte Carlo inversion of temperature and salinity structure of an internal solitary wave packet from marine seismic data. Journal of Geophysical Research: Oceans, 121(6), 3692-3709. https://doi.org/10.1002/2016jc011810

Marine seismic reflection technique is used to observe the strong ocean dynamic process of nonlinear internal solitary waves (ISWs or solitons) in the near-surface water. Analysis of ISWs is problematical because of their transient nature and limitat... Read More about Markov Chain Monte Carlo inversion of temperature and salinity structure of an internal solitary wave packet from marine seismic data.

Marine seismic observation of internal solitary wave packets in the northeast South China Sea (2015)
Journal Article
Tang, Q., Hobbs, R., Wang, D., Sun, L., Zheng, C., Li, J., & Dong, C. (2015). Marine seismic observation of internal solitary wave packets in the northeast South China Sea. Journal of Geophysical Research: Oceans, 120(12), 8487-8503. https://doi.org/10.1002/2015jc011362

Recently the novel seismic oceanography method has been reported to be an effective way to study the energetic internal solitary waves (ISWs) in the northern South China Sea. An optimized seismic-oceanographic cruise was carried out to observe such n... Read More about Marine seismic observation of internal solitary wave packets in the northeast South China Sea.

Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well (2015)
Report
Oughton, R., Wooff, D., Hobbs, R., O'Connor, S., & Swarbrick, R. (2015). Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well. [No known commissioning body]

Pore pressure estimation is a crucial yet difficult problem in the oil industry. If unexpected overpressure is encountered while drilling it can result in costly challenges and leaked hydrocarbons. Prediction methods often use empirical porosity-base... Read More about Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well.

An irregular feather-edge and potential outcrop of marine gas hydrate along the Mauritanian margin (2015)
Journal Article
Davies, R. J., Yang, J., Mathias, S., Hobbs, R., & Li, A. (2015). An irregular feather-edge and potential outcrop of marine gas hydrate along the Mauritanian margin. Earth and Planetary Science Letters, 423, 202-209. https://doi.org/10.1016/j.epsl.2015.04.013

The dissociation of marine hydrate that surrounds continental margins is thought to be an agent for past and future climate change. As the water depth decreases landwards, the base of the hydrate stability zone progressively shallows until hydrate ca... Read More about An irregular feather-edge and potential outcrop of marine gas hydrate along the Mauritanian margin.

Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks (2015)
Presentation / Conference Contribution
Oughton, R., Wooff, D., Swarbrick, R., & Hobbs, R. (2015). Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks. . https://doi.org/10.3997/2214-4609.201413296

Pore pressure prediction is vital when drilling a well, as unexpected overpressure can cause drilling challenges and uncontrolled hydrocarbon leakage. Predictions often use porosity-based techniques, relying on an idealised compaction trend and using... Read More about Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks.

On the Use of Fractal Surfaces to Understand Seismic Wave Propagation in Layered Basalt Sequences (2014)
Journal Article
Nelson, C. E., Hobbs, R. W., & Rusch, R. (2015). On the Use of Fractal Surfaces to Understand Seismic Wave Propagation in Layered Basalt Sequences. Pure and Applied Geophysics, 172(7), 1879-1892. https://doi.org/10.1007/s00024-014-0986-5

The aim of this study is to better understand how a layered basalt sequence affects the propagation of a seismic wave, which has implications for sub-basalt seismic imaging. This is achieved by the construction of detailed, realistic models of basalt... Read More about On the Use of Fractal Surfaces to Understand Seismic Wave Propagation in Layered Basalt Sequences.

Crustal constraint through complete model space screening for diverse geophysical datasets facilitated by emulation (2012)
Journal Article
Roberts, A., Hobbs, R., Goldstein, M., Moorkamp, M., Jegen, M., & Heincke, B. (2012). Crustal constraint through complete model space screening for diverse geophysical datasets facilitated by emulation. Tectonophysics, 572-573, 47-63. https://doi.org/10.1016/j.tecto.2012.03.006

Deep crustal constraint is often carried out using deterministic inverse methods, sometimes using seismic refraction, gravity and electromagnetic datasets in a complementary or “joint” scheme. With increasingly powerful parallel computer systems it i... Read More about Crustal constraint through complete model space screening for diverse geophysical datasets facilitated by emulation.

Tracking bottom waters in the Southern Adriatic Sea applying seismic oceanography techniques. (2012)
Journal Article
Carniel, S., Bergamasco, A., Book, J. W., Hobbs, R. W., Sclavo, M., & Wood, W. T. (2012). Tracking bottom waters in the Southern Adriatic Sea applying seismic oceanography techniques. Continental Shelf Research, 44, 30-38. https://doi.org/10.1016/j.csr.2011.09.004

We present the first results from the seismic oceanography (SO) cruise ADRIASEISMIC where we successfully imaged thermohaline fine structures in the shallow water environment (50–150 m) of the southern Adriatic Sea during March 2009 using a compact t... Read More about Tracking bottom waters in the Southern Adriatic Sea applying seismic oceanography techniques..