applied mathematics in the oil & gas industry: metocean...

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Company name appears here Town and Gown Mathematics Department, Covenant University Ota, Nigeria Applied Mathematics in the Oil & Gas industry: Metocean Engineering Dr. Emmanuel Osalusi, CSci, CMarSci Senior Metocean Engineer The Shell Nigeria Exploration and Production Co. Lagos, Nigeria 1 05/11/2017

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  • Company name appears here

    Town and Gown Mathematics Department,

    Covenant University

    Ota, Nigeria

    Applied Mathematics in the Oil & Gas

    industry: Metocean Engineering

    Dr. Emmanuel Osalusi, CSci, CMarSci

    Senior Metocean Engineer The Shell Nigeria Exploration and Production Co.

    Lagos, Nigeria

    1 05/11/2017

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    Covenant University

    Vision Statement:

    To be a leading World-Class Christian Mission University,

    committed to raising a new generation of leaders in all fields of

    Human endeavour.

    Mission Statement:

    To create knowledge and restore the dignity of the black man via

    a Human Development Total Man Concept driven curriculum

    employing innovative, leading-edge teaching and learning

    methods, research and professional services that promote

    integrated, life-applicable, life-transforming education,

    relevant to the context of Science, Technology and Human

    Capacity Building’ 2 05/11/2017

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    Applied Mathematics

    Applied Mathematics:

    a combination of mathematical science and specialized knowledge

    Beyond numbers

    Uncertainty Quantifications. e.g.

    1. ….they were about 600k men on foot, besides women and children (Exo.

    12:37)

    2. …and they that did eat were 5000 men, besides women & children - Mathew

    14:21

    3 05/11/2017

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    OUTLINE

    1. Safety moment

    2. Background

    3. Introduction to Metocean Engineering

    4. Metocean Considerations for Offshore Oil/Gas Development

    5. Specifying the Offshore Environment

    6. Metocean and its implications for offshore design and operations

    1. Impact on Design Criteria

    2. Impact on Operations

    7. Q&A

    4 05/11/2017

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    Safety Moment

    5 05/11/2017

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    Institutions Attended

    Academic

    Qualifications

    PhD Petroleum Engineering (Institute of Petroleum

    Engineering, Heriot-Watt University, UK)

    MSc Applied Mathematics (University of Limpopo, South

    Africa

    PgDip, Mathematical Sciences, (African Institutes for

    Mathematical Sciences – www.aims.ac.za ), University of Cape

    Town, South Africa

    BSc (Hons), Mathematical Sciences, Ondo State University

    (now Ekiti State University, Ado-Ekiti), Nigeria

    Professional

    Qualifications

    Lead Auditor /Auditor Course, Quality Management System

    (ISO 9001:2008)

    Member, The Institute of Marine Engineering, Science &

    Technology (MIMarST - UK)

    PRINCE2 – (Project Management - UK)

    Chartered Scientist (CSci), Science Council (UK),

    Chartered Marine Scientist (CMarSci), IMarEST (UK)

    QUALIFICATIONS

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    Year Institutions Attended

    1997 - 2000 Computer Officer/QA&QC officer, SPIE Enertrans S.A., Nigeria.

    Shell/Total/NNPC LNG contract, Bonny Island, Rivers State.

    2000 - 2001 Document Control Officer, Titan Engineers & Constructors, Nigeria.

    Shell/Total/NNPC LNG contract, Bonny Island, Rivers State.

    2001 - 2002 Administrative Officer/Document Control Officer, Hyundai Heavy

    Industries, Nigeria, Shell/Total/NNPC LNG contract, Bonny Island,

    Rivers State.

    2006 Research Associate, International Centre for Theoretical Physics

    (ICTP), Italy (CNR-ITAE).

    2006 - 2009 Research Associate, Heriot-Watt University, Edinburgh.

    2009 - 2010 Numerical Hydrodynamic Engineer, Total Gas & Power Ltd.,

    London

    2010 - 2011 Senior Oceanographer, Partrac Ltd., Glasgow

    2011 - 2013 Senior Global Analyst, GE Oil & Gas, Newcastle, UK

    2013 ongoing Senior Metocean Engineer, SHELL, Nigeria

    CAREER PATH

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    Peer Reviewed Publications

    1) E. Osalusi, J. Side, R. Harris. Structure of turbulent flow in EMECs tidal energy test

    site, Int. Comm. Heat and Mass Transfer, 36, 5,422-431, (2009)

    2) E. Osalusi, J. Side, R. Harris. Reynolds stress and turbulence estimates in bottom

    boundary layer of Fall of Warness, Int. Comm. Heat and Mass Transfer, 36, 5, 412-

    421, (2009)

    3) E. Osalusi, J. Side, R. Harris. Thermo-Diffusion and Diffusion-Thermo effects on

    combined heat and mass transfer of a steady MHD convective and slip flow due to a

    rotating disk with viscous dissipation and Ohmic heating, , Int. Comm. Heat and Mass

    Transfer , 35, 908-915 (USA), (2008)

    4) E. Osalusi, J. Side, R. Harris. Ohmic heating and viscous dissipation effects on

    unsteady hydromagnetic flow and heat transfer over a porous rotating disk with variable

    properties, hall and ion-slip currents, Far East Journal of Applied Mathematics, In

    press, (2008) etc

    5) ( 17 – Fluid Mechanics, 2 on Oceanic Turbulence)

    8 05/11/2017

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    Metocean Engineering

    9 05/11/2017

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    Metocean Engineering and the business

    The impact of metocean engineering applies across all phases with the

    potential to add value at each phase ([Opportunity Realisation Process

    (ORP) phases]

    10

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    High cost of getting metocean wrong

    11 05/11/2017

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    Marine

    12 05/11/2017

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    Aviation Nigeria: 322 fatalities in about a 14 months

    13 05/11/2017

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    Squalls: formation

    LiVe IMAGE

    14 05/11/2017

    Aviation: Turbulent wind - Squalls

    http://www.sat24.com/foreloop.aspx?type=1&continent=afrika

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    Aviation: Squalls

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    Airfrance 477: 228 fatalities – all lost!

    X

    The aircraft encounters point X, where it enters the microburst zone, and a headwind causes

    it to rise above the normal glideslope. At the center of the microburst, point Y, there is a

    downdraft causing the aircraft to sink. The aircraft now enters the most dangerous zone,

    point Z, where a sudden tailwind causes the aircraft to lose airspeed and potentially crash.

    F-7-14-54 (AF477)

    Y

    Z

    Microburst zone Most dangerous zone

    2:14:28 Hrs 2:06 Hrs

    16 05/11/2017

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    The cost of getting it wrong!

    17 05/11/2017

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    Metocean = Meteorological + Oceanographic

    What is metocean

    Abbreviation came in 40 years

    ago

    Metocean is a discipline covering

    meteorology and physical

    oceanography, and is concerned

    with quantifying the impact and

    effect of weather and sea

    conditions on a wide range of

    activities in the onshore and

    offshore oil & gas and renewables

    18 05/11/2017

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    Metocean

    Metocean = meteorological + oceanographic

    19 05/11/2017

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    The role of Metocean Engineer

    Provide optimal/suitable and innovative Metocean solutions and guidance for

    offshore/onshore projects:

    Extreme design criteria for ultimate strength

    Fatigue criteria

    Operational criteria for construction/tow/installation

    Meteorological and oceanographic instrumentation and measurement

    systems

    Weather and ocean modeling and forecasting

    Renewable ocean/wind energy

    Ice management planning

    Iceberg and sea ice tracking

    Research/technology development

    Industry/regulatory liaison 20 05/11/2017

    http://sww.wiki.shell.com/wiki/index.php/File:KANUMAS_Ice_Breaker_Odin.bmphttp://sww.wiki.shell.com/wiki/index.php/File:Groundediceberggreenland3.JPG

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    Engineering Requirements

    Metocean Conditions

    Metocean Data

    Acquisition

    Weather Forecasts/ Hindcasts

    Metocean Design

    Criteria & Operational Statistics

    Metocean cycle Challenges

    • Cross-discipline awareness

    • Early interaction

    • Appropriate time & budget for deliverables

    21 05/11/2017

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    Institute of Petroleum Engineering, Heriot-Watt

    University, UK

    Research works

    Ocean Turbulence – Wave-Current Interactions

    22 05/11/2017

    There is no branch of mathematics, however abstract, which may not

    some day be applied to phenomena of the real world. Nikolai Lobachevsky

    http://www.azquotes.com/quote/586908?ref=applied-mathematicshttp://www.azquotes.com/quote/586908?ref=applied-mathematicshttp://www.azquotes.com/quote/586908?ref=applied-mathematics

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    Motivation

    23 05/11/2017

    goal

    …the understanding of the flow

    due to short-term fluctuations in

    stream velocity, at a typical tidal

    stream site, will assist in the

    modelling of a tidal test site and

    improve design optimisation of

    tidal stream turbine design.

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    Inline force

    t

    XρVCX(t)|X(t)|ρAC(t)F mdx

    2

    1

    'uUX

    Morison’s Equation

    2'''

    2

    1||

    2

    1)( UAC

    t

    uVCuuACtF dmdx

    Oscillatory Force Steady Force oscillatory drag coefficients

    24 05/11/2017

    Inertia Force Drag Force

    '''

    cw uuu

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    Ocean turbulence

    Multimodal directional seas

    affects stability,

    fatigue loading and

    response

    25 05/11/2017

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    Boundary layer

    26

    Uc

    CBL

    MWS

    Uw

    h

    0 WBL w

    Boundary-layer-induced turbulence fluctuations:

    Creates unequal forces on the turbine

    Cyclic loads on the blade

    Fatigue damage

    Excitation of roll response

    In physics and fluid

    mechanics, a boundary

    layer is the layer of fluid

    in the immediate vicinity

    of a bounding surface

    where the effects of

    viscosity are significant.

    05/11/2017

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    Boundary layer

    27

    Interaction btw WBL & CBL creates transient &

    nonlinear flow ….. transient load

    CBL

    WBL

    05/11/2017

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    Boundary layer

    28

    The ability of the offshore structure to cope with short-term stream velocity variations such as those resulting from turbulence or wave–current interactions is a concern in

    offshore industry

    'uUX

    05/11/2017

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    Turbulence

    w

    wc

    c

    Total Bed Shear Stress = Mean Bed Shear Stress + Maximum Oscillatory Bed Shear Stress

    2

    2

    ln130

    ln12

    2

    1

    b

    A

    Nc

    ccc

    k

    k

    ek

    h

    f

    uf

    29 05/11/2017

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    Analysis Method – Flow Chart

    30 05/11/2017

    ADCP Raw

    Data

    Pytho

    n

    Raw Binary

    Waves Data

    Raw

    Binary

    Current

    Data

    Turbulence

    Estimates

    Prime Flowchart

    Preprocess

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    Directional

    Wave

    Spectra Input

    Record Length [FN: RunDirSp, specCompute2]

    Compute: Cross Power

    Spectrum Wavenumber

    Transfer parameter

    Directional Spectra Wave

    parameters (Hs, Tp, DTp, Dp) [FN: specCompute3, specCompute4]

    Plotting:

    S(f,Q), Hs, Tp, DTp,

    Dp [FN: specPlot1, specPlot2]

    Save:

    S(f,Q), Hs, Tp, DTp, Dp [Folder: waveplots_{starting date} ]

    [FN: specCompute2]

    Directional

    Wave Spectra

    Smooth?

    Smooth Spec

    with

    resolution Yes

    No

    Preprocess

    Analysis Method – Flow Chart

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    Raw

    Current Data

    Structure of Measured Data

    +

    Configuration [FN: runCurrent1]

    Plotting:

    *10-min mean current velocity Vs time

    *Water level Vs mean (over depth) current velocity

    *Depth-time current velocity magnitude

    *Tidal height Vs time [FN: runCurrent2]

    Current Profiles Preprocess

    Analysis Method – Flow Chart

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    Raw

    Current Data

    Structure of Measured Data

    +

    Configuration [FN: runCurrent1]

    Plotting:

    *10-min mean current velocity Vs time

    *Water level Vs mean (over depth) current velocity

    *Depth-time current velocity magnitude

    *Tidal height Vs time [FN: runCurrent2]

    Current Profiles Preprocess

    Analysis Method – Flow Chart

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    QC: Data must undergo extensive quality control analysis in order to ensure that the

    uncertainties in the output are reduced to the minimum.

    Before the deployment

    thresholds are set in order to ag bad data

    that fall outside of broad error specifications or against a narrower range of error

    specifications

    Error due to strong reflections from the water surface that overcome the sidelobe

    suppression

    Pre-processing

    some data may be questionable.

    Such suspected data, called spikes, are not removed; rather, they are detected

    and possibly replaced.

    Spikes in the data may corrupt, overestimate wave spectra or skew smoothed

    estimates. Spikes in the ADCP data are mainly caused by fish, ship, turbulence and

    floating debris.

    Data QC – Noise Removal

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    Data QC – Noise Removal

    35 05/11/2017

    (1) Detecting

    (2) Removing

    (3) Replacing erroneous data

    Methods:

    1. Acceleration Threshold Methods

    2. Phase-Space Threshold Method (PTM) (3D

    Poincare map Method)

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    Data Quality Control

    36 05/11/2017

    2222

    Dumt

    Voulgaris & Trowbridge

    (1998)

    Sampling error related to

    Phase shift (independent

    of flow)

    Error variance due

    to mean velocity

    shear (flow related)

    Doppler noise related to

    Doppler band width

    broadening (flow related)

    Total vel. Error

    variance

    [dominate noise term

    due to turbulence and

    the mean shear error,

    becomes significant

    close to the seabed]

    The total source of

    noise in ADCP

    beam

    velocity is given as:

    ADCP=Acoustic Doppler Current Profiler

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    3D Poincare Method

    37 05/11/2017

    These methods are based on the

    observation that the derivative of a signal

    amplifies the high-frequency components

    (the spikes domain). The separation of

    these erroneous data is amplified as the

    order of derivative increases.

    ),(),(

    ),(),(),(

    tt

    t

    ttXty

    j

    j

    k

    j

    kkk

    =Fourier series transformed of u(t) – instantaneous velocity,

    w(t) the radial frequency and j positive index

    ),( tk

    )sin(22

    2

    tt

    )cos(

    )sin(

    tt

    t

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    3D Poincare map

    Method

    38 05/11/2017

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    TKE- Reynolds stress

    39 05/11/2017

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    Metocean Considerations for Offshore Oil &

    Gas Development Projects

    40 05/11/2017

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    Field development concept selection

    Offshore Field Development Concept Selection influenced by: • Field characteristics • Water depth • Metocean conditions……

    41 05/11/2017

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    Fixed platform

    Limited to ~ 300 m Piled steel jacket & concrete gravity platform

    Loading: waves and currents on substructure winds on topsides

    Deck elevation Sufficient air gap to allow for wave crests, tide & storm surge

    Scouring Near bed currents

    42 05/11/2017

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    Towing and installation

    Metocean Impact on: Installation method Barge selection Design of sea fastenings Tow route

    Hazards Long period waves Wave height Cross seas Strong currents Wind/wave/current offsets

    43 05/11/2017

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    Floating production systems Various Types: TLP, Semi-Sub, Spar, FPSO

    Advantages over fixed structures Deep water Small fields/short field life Re-use other location

    44 05/11/2017

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    Floating production platform

    Metocean needed for: Feasibility appraisal Floater selection, modification or new design Product export – tanker offloading or pipeline Subsea installation Floater installation Operation Decommissioning/re-use Cost Benefits: Metocean + Response Based Design For feasibility & selection of appropriate system Metocean statistics for vessel motion, Operational windows for FPSO shuttle tanker Metocean conditions Assessment of fatigue life

    45 05/11/2017

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    Subsea, pipelines & cables

    Metocean Hazards: Strong near-bed currents Wave motions (shallow water) Seabed scouring Unsupported spans Bottom temperatures Turbidity currents Hydrate formation Ice

    46 05/11/2017

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    Jetty Coastal Protection

    Marine Cooling Water and

    Desalination Systems Coastal Facilities

    Coastal facilities

    47 05/11/2017

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    Offshore operations

    Applications: Offshore Oil & Gas Production Aviation Marine vessels Oil spill contingency

    Metocean deliverables: Metocean Operational Planning Statistics Real-Time Metocean Measurements Weather Forecasts Oil spill modeling and contingency plan

    48 05/11/2017

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    Metocean requirements for each development phase

    49 05/11/2017

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    Metocean desktop study process map

    Deliverables

    Technical Review

    (TA Sheet)

    Request

    Define SOW,

    Approaches and

    deliverables

    Report

    Memo

    Data Sources

    Analysis

    Assign TA/TR

    Brief the work

    Q/A

    Status

    50 05/11/2017

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    Data sources

    Sea Surface

    Seabed

    300khz ~ 100m range

    75khz ~ 500m range

    38khz ~ 1000m range

    Seabed or BOP-mounted 75khz ~ 500m range

    RovADCP ~ 6000m range

    51 05/11/2017

    http://www7320.nrlssc.navy.mil/GLBhycom1-12/navo/globalsshnowcast.gif

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    SQUALL

    52 05/11/2017

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    SOLITONS

    53 05/11/2017

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    Metocean data consideration

    54 05/11/2017

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    Metocean data consideration - annual variation

    55 05/11/2017

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    Design criteria – design philosophy

    Goal: design offshore facility to withstand extreme environmental conditions that will

    occur during its lifetime with “optimum” risk level

    Weigh consequences of failure against cost of over-designing

    For facilities with 20-30-year lifetime, generally use 100-year metocean criteria

    With typical implicit and explicit safety factors, annual probability of failure ≈ 10-3 to 10-4

    Procedure:

    Analyze historical environmental conditions

    Assume future exposure will have the same statistics of extremes as past exposure

    Global climate change:

    Effect on extreme conditions is not yet known, and is generally neglected

    Assume design safety factors will accommodate any increase in environmental severity

    that may occur

    56 05/11/2017

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    SPECIFYING THE OFFSHORE

    ENVIRONMENT

    57 05/11/2017

    Applied mathematics will always need pure

    mathematics just as anteaters will always

    need ants. Paul Halmos

    http://www.azquotes.com/quote/1255760?ref=applied-mathematicshttp://www.azquotes.com/quote/1255760?ref=applied-mathematicshttp://www.azquotes.com/quote/1255760?ref=applied-mathematicshttp://www.azquotes.com/author/28949-Paul_Halmoshttp://www.azquotes.com/author/28949-Paul_Halmos

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    Structural response to extreme conditions

    58 05/11/2017

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    Marine operability assessment

    59 05/11/2017

    Measurement

    Modeling (hindcasting)

    Continuous time-series

    Acceptable motions criteria

    Analysis (available windows)

    Modeling (berthing simulator)

    Modeling (vessel responses)

    Metocean Environment

    Vessel particulars

    Floating System

    Basin testing

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    Side-by-side offloading

    60 05/11/2017

    FENDERS

    MOORING LINES

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    Solitons impact

    Impact

    Fatigue – risers, subsea equipment

    Operations – ROV

    In mathematics and physics, a soliton is a self-reinforcing solitary wave

    packet that maintains its shape while it propagates at a constant velocity.

    1. It must maintain its shape when it moves at constant speed.

    2. When a soliton interacts with another soliton, it emerges from the

    "collision" unchanged except possibly for a phase shift.

    61 05/11/2017

    https://en.wikipedia.org/wiki/Mathematicshttps://en.wikipedia.org/wiki/Physicshttps://en.wikipedia.org/wiki/Wave_packethttps://en.wikipedia.org/wiki/Wave_packet

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    Metocean delivers a broad range of products

    Example Product Delivery List

    Seismic data acquisition criteria

    Drilling criteria

    Rig orientation

    Riser fatigue

    Mooring criteria

    Host/Site design criteria

    SURF design criteria

    Tow criteria

    Installation/construction criteria

    Waiting on Weather statistics

    Environmental sensors for MAS/MIS

    62 05/11/2017

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    THE METOCEAN CHALLENGE

    Risk

    Costs

    Risk

    Costs

    Improvements through:

    63 05/11/2017

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    OCEANOGRAPHIC PARAMETERS FOR DESIGN

    Criteria need to address

    multiple parameters in space

    and time

    Wind, wave, and current are

    vectors with magnitude and

    direction

    Wind/wave have broad

    frequency components

    Some conditions drive

    ultimate strength, some drive

    fatigue

    64 05/11/2017

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    Characterizing random seas

    65 05/11/2017

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    Conclusions

    66 05/11/2017

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    The cost of getting it wrong !

    67 05/11/2017

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    The cost of getting it wrong !

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    The cost of getting it wrong !

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    High cost of getting metocean wrong

    71 05/11/2017

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    “If you stop at general math, you’re only going to

    make general money.” – Snoop Dogg

    Thank you!!

    72 05/11/2017