Texas AM Oilspill Calculator (TAMOC): Modeling Suite for Subsea Spills

The Texas A&M Oilspill Calculator (TAMOC) is a new, freely available modeling suite for predicting fate and transport of oil and gas released from subsea accidents. The model is coded in Python and Fortran and is freely available from http://github.com/socolofs/tamoc. The model contains general modules for handling ambient water column data, hydrocarbon equations of state, and bubble and droplet dynamics, including particle rise velocity, shape, surface area, and heat and mass transfer rates. Three simulation models are included with the modeling suite. The Single Bubble Model (SBM) tracks the fate of a single bubble or droplet as it rises through the water column, advected by the three-dimensional ambient currents, and undergoing dissolution and heat transfer. For larger scale releases, two different integral plume models are provided. In weak currents, the Stratified Plume Model (SPM) predicts multiple subsurface intrusions; when currents are larger and the plume trajectory is deflected in the downstream direction, the suite applies the Bent Plume Model (BPM), which yields one intrusion layer and tracks separation between the released oil droplets and gas bubbles and the entrained seawater. All modeling components have been thoroughly validated to available laboratory and field data. This paper demonstrates some of the key validation metrics and applies the model to explore the dynamics of the Deepwater Horizon accident. The hot oil and gas released from the wellhead quickly cool to near ambient temperature (within 25 m above the release), and dissolution is generally faster than gas ebullition. Model predictions agree well with observations from 2010, including calculations for the depth of the intrusion layer and the flux of chemical components to the atmosphere.

[1]  Gerhard H. Jirka,et al.  Integral Model for Turbulent Buoyant Jets in Unbounded Stratified Flows. Part I: Single Round Jet , 2004 .

[2]  Ruoying He,et al.  Simulating Oil Droplet Dispersal From the Deepwater Horizon Spill With a Lagrangian Approach , 2011 .

[3]  Scott D. Peckham,et al.  The influence of droplet size and biodegradation on the transport of subsurface oil droplets during the Deepwater Horizon spill: a model sensitivity study , 2015 .

[4]  Poojitha D. Yapa,et al.  Simulation of oil spills from underwater accidents I: Model development , 1997 .

[5]  Gerhard Bohrmann,et al.  Quantification of gas bubble emissions from submarine hydrocarbon seeps at the Makran continental margin (offshore Pakistan) , 2012 .

[6]  Poojitha D. Yapa,et al.  BEHAVIOR OF OIL AND GAS FROM DEEPWATER BLOWOUTS , 2004 .

[7]  R. Privat,et al.  Addition of the sulfhydryl group (SH) to the PPR78 model: Estimation of missing group-interaction parameters for systems containing mercaptans and carbon dioxide or nitrogen or methane, from newly published data , 2012 .

[8]  J. Hine,et al.  THE INTRINSIC HYDROPHILIC CHARACTER OF ORGANIC COMPOUNDS, CORRELATIONS IN TERMS OF STRUCTURAL CONTRIBUTIONS , 1975 .

[9]  John C. Little,et al.  Hypolimnetic oxygenation: predicting performance using a discrete-bubble model , 2001 .

[10]  E. Eric Adams,et al.  Multi-phase plumes in uniform and stratified crossflow , 2002 .

[11]  R. Clift,et al.  Bubbles, Drops, and Particles , 1978 .

[12]  Charles James Lemckert,et al.  Energetic bubble plumes in arbitrary stratification , 1993 .

[13]  Jean-Noël Jaubert,et al.  Thermodynamic modeling for petroleum fluids I. Equation of state and group contribution for the estimation of thermodynamic parameters of heavy hydrocarbons , 1997 .

[14]  E. Eric Adams,et al.  Integral Model of a Multiphase Plume in Quiescent Stratification , 2007 .

[15]  Alfred Wüest,et al.  Interaction between a bubble plume and the near field in a stratified lake , 2004 .

[16]  Li Zheng,et al.  Simulation of oil spills from underwater accidents II: Model verification Simulation de deversements de petrole dus a accidents sous -marins II:Verification du modele , 1998 .

[17]  Y. Duan,et al.  Empirical correction to the Peng–Robinson equation of state for the saturated region , 2005 .

[18]  V. Cheung,et al.  Generalized Lagrangian Model for Buoyant Jets in Current , 1990 .

[19]  K. Kobe The properties of gases and liquids , 1959 .

[20]  John C. Little,et al.  Increased sediment oxygen uptake caused by oxygenation-induced hypolimnetic mixing. , 2011, Water research.

[21]  John C Little,et al.  Designing hypolimnetic aeration and oxygenation systems--a review. , 2006, Environmental science & technology.

[22]  Simone Meinardi,et al.  Chemical data quantify Deepwater Horizon hydrocarbon flow rate and environmental distribution , 2012, Proceedings of the National Academy of Sciences.

[23]  Cheung,et al.  Discussion of 'improved prediction of bending plumes' , 1996 .

[24]  Lin Zhao,et al.  Evolution of droplets in subsea oil and gas blowouts: development and validation of the numerical model VDROP-J. , 2014, Marine pollution bulletin.

[25]  Kenneth Lee,et al.  VDROP: A comprehensive model for droplet formation of oils and gases in liquids - Incorporation of the interfacial tension and droplet viscosity , 2014 .

[26]  Øistein Johansen,et al.  Droplet breakup in subsea oil releases--part 2: predictions of droplet size distributions with and without injection of chemical dispersants. , 2013, Marine pollution bulletin.

[27]  P. Yapa,et al.  Modeling gas separation from a bent deepwater oil and gas jet/plume , 2004 .

[28]  Dieter M. Imboden,et al.  Bubble plume modeling for lake restoration , 1992 .

[29]  Archie E. Hamielec,et al.  Mass transfer from a single rising bubble , 1969 .

[30]  Tirtharaj Bhaumik,et al.  Double-Plume Integral Models for Near-Field Mixing in Multiphase Plumes , 2008 .

[31]  I. Leifer,et al.  Dynamic morphology of gas hydrate on a methane bubble in water: Observations and new insights for hydrate film models , 2014 .

[32]  Øistein Johansen,et al.  DeepSpill––Field Study of a Simulated Oil and Gas Blowout in Deep Water , 2003 .

[33]  Simone Meinardi,et al.  Atmospheric emissions from the Deepwater Horizon spill constrain air‐water partitioning, hydrocarbon fate, and leak rate , 2011 .

[34]  Karin L. Lemkau,et al.  Composition and fate of gas and oil released to the water column during the Deepwater Horizon oil spill , 2011, Proceedings of the National Academy of Sciences.

[35]  Poojitha D. Yapa,et al.  A model for simulating deepwater oil and gas blowouts - Part I: Theory and model formulation , 2003 .

[36]  Ira Leifer,et al.  Controls on methane bubble dissolution inside and outside the hydrate stability field from open ocean field experiments and numerical modeling , 2009 .

[37]  Vincent H. Chu,et al.  Turbulent Jets and Plumes: A Lagrangian Approach , 2003 .

[38]  T. Hazen,et al.  Distribution of hydrocarbons released during the 2010 MC252 oil spill in deep offshore waters. , 2013, Environmental pollution.

[39]  Walter Hayduk,et al.  Prediction of diffusion coefficients for nonelectrolytes in dilute aqueous solutions , 1974 .

[40]  Øistein Johansen,et al.  Development and verification of deep-water blowout models. , 2003, Marine pollution bulletin.

[41]  Takashi Asaeda,et al.  Structure of bubble plumes in linearly stratified environments , 1993, Journal of Fluid Mechanics.

[42]  Ali Eslamimanesh,et al.  Determination of Critical Properties and Acentric Factors of Pure Compounds Using the Artificial Neural Network Group Contribution Algorithm , 2011 .

[43]  R. Castro,et al.  Tracking Hydrocarbon Plume Transport and Biodegradation at Deepwater Horizon , 2010 .

[44]  J. Greinert,et al.  Fate of rising methane bubbles in stratified waters: How much methane reaches the atmosphere? , 2006 .

[45]  F. Chen,et al.  A model for deepwater oil/gas blowouts. , 2001, Marine pollution bulletin.