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  • 7/28/2019 08 SoftSkills

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    2Vol. 8 // No. 3 // 2012

    Soft Skills

    17%

    40%17%

    7%

    19%

    1823 2428 2832 3337 38+

    66%

    5%

    1%

    8%

    11%

    1%

    4%

    1% 3%

    Energy (producer/consulting/services)

    Energy (R&D)

    Mining and Materials(non oil and gas)

    Financial

    Industrial/Manufacturing/

    Commercial Trades

    Utilities (electricity,water, gas, foreign)

    Construction (owner,consultant, contractor)

    Transportation/Municipal

    Education

    5%

    7% 3%

    5%

    51%

    16%

    1%3%

    5%

    4%

    Executive

    Manager

    Supervisor

    Consultant

    Engineer/Scientist

    Analyst

    Educator

    Student

    Sales and technicalsupport staff

    Non-technical supportstaff (HR, admin,acct, etc)

    Work/Life Balance in the 21st CenturyJarrett Dragani, Cenovus Energy

    Work to live, or live to work? Working

    hard, getting the job done, and having

    a ull led lie at homecan we really

    have it all? In a globalized world where

    business never stops and nearly all

    our business tools enable constant

    communicat ion, where do we draw

    the line between work and leisure? In

    addition, what impact does separationbetween work and leisure have on our

    perormance, job satisaction, and well-

    being? These intriguing questions were

    among those posed to participants in The

    Way Aheads global survey in an attempt

    to investigate and contrast work/lie

    balances ound in the oil and gas i ndustry

    compared with other industries.

    The Concept of Work/Life BalanceWork/ li e bala nce is a concept that

    signicantly aects the health and

    happiness o ones lie. The concept restson your agenda or demarcating the

    amount o time you spend with work and

    the amount o time you spend in leisurely

    pursuits, where leisure is everything

    outside the scope o your work.

    Work/ li e bala nce is a n area o

    research dating back to the 1960s.

    In act, it began as a topic o study in

    management as an attempt to ormulate

    working conditions that maximizedproductivity or industria l companies. It

    has oten been a theme o political and

    social discussion, and it is important

    to realize that dierent societies have

    dierent perceptions about what a

    suitable work/li e balance is.

    A good example is the comparison

    that historian Keith Thomas draws

    between preindustrial society and

    modern times (then the 1960s) in terms

    o work and leisure, worker productivity,

    and management philosophy. Thomas

    presented his research (Work and Leisurein Pre-Industrial Society) at the seventh

    Past and Present Conerence in London

    in 1964, and, since then, the concept o

    the sociology o work and leisure has

    emerged as an academic discipline.

    A similar comparison today might

    be between the 21st century and

    what I would call the pre-inormation

    technology (IT) era o the 1960s and

    1970s. In the pre-IT era, the separationbetween work and leisure, in essence,

    was a physical separation between the

    worksite and the home. In todays society,

    it becomes more dicult to separate

    the worksite and the home because we

    must take into account virtual as well

    as physical separation. As workers and

    consumers, we are constantly adapting

    to new technologies that enable us

    to stay literally plugged in with work.

    Smartphones, remote server access,

    tablets, phone apps, and email are all

    examples o ways by which we can stayconnected with work.

    Fig. 1Work/ lie bala nce TWA

    survey demographics.

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    Soft Skills

    Work/Life Balance PollTo nd out how the oil and gas industry

    ares in relation to work/lie balance,

    we administered a poll. We asked 77

    workers rom across the globe and rom

    many industries or their take on work/

    lie balance. Roughly hal the sample

    population were engineers and scientis tsworking in the energy sector, with an age

    demographic split airly evenly among

    young proessionals, as shown in Fig. 1.

    When looking at the demographics,

    one sees that 65% o the respondents

    were younger than 28, tting into a prole

    called GenY. O the 77 respondents, 80%

    said achieving a good work/lie balance

    was very important to them. In addition,

    when asked what workers elt about their

    current work/lie balance, only 12% said

    it was dismal or unsatisactory. Generally,

    this surveys respondents were young

    proessionals with an educated view on the

    importance o work/l ie balance and who

    were well-practiced in the ar t o achieving

    that balance.

    What CreatesWork/Life Imbalance?

    What contributes to a poor work/l ie

    balance? Fity-ve percent o the surveys

    respondents said it was rom taking

    work home with them. Interestingly, an

    additional 38% said they elt guilty about

    nottaking work with them. Combining

    these responses indicates that 93%o respondents eel obligated to take

    work home with them. That highlights a

    possible di erence between pre-IT-era

    and 21st-century work/l ie balance. It also

    highlights a risk young proessionals in the

    oil and gas industry ace today, because

    almost all employees in this day and age

    carry work-related electronic devices.

    Another question is, How do

    people react when they exper ience an

    imbalance between work and home (say,longer than 1 month)? When asked this,

    15% o the respondents said they would

    complain to other employees, 19% said

    they would do nothing (i.e., bottle it up

    and take it home with them), and 10%

    would either speak to management or

    quit their job.

    Al l employees have expectations o

    what their work/lie balance should be

    like, and sometimes those expectations

    change with personal and proessional

    circumstances. As our respondents have

    shown, the consequences o not meeting

    those expectations can be quite extreme

    both or individuals and companies.

    When experiencing poor work/l ie

    balance, some will lose sleep, others will

    complain to ellow workers, and some are

    bold enough to quit their jobs.

    Achieving a GoodWork/Life Balance

    Whose responsibil ity i s it to achieve a

    good work/lie balance? It is a dicult

    question to answer generally because

    dierent societies have dierent

    percept ions. Nonetheless, it is animportant question or everyone to ask

    themselves. Participants in the survey

    indicated that 39% o the responsibility

    rests with the individual, 20% with t he

    supervisor, 34% with the employer, and

    7% with the government.

    When asked to comment on work/

    lie balance, most respondents said

    work to live, not l ive to work, or leave

    work at work. However, one respondent

    commented, Good work/l ie balanceis about eeling energized and satised

    in both your work and personal lie at

    the same time. While there is no one

    ormula that can create the perect work/

    lie balance or everyone, the best work/

    lie balance comes rom having a mutual

    respect or what the company and the

    individual employee needs. For me,

    the perect work/lie balance is one that

    requires a lot o hard work and lengthy

    hours but is oset by a high degree

    o autonomy and the fexibility to take

    personal time. It is about nding the

    right t.

    Indeed, it is about nding the right t,

    and the challenge our industry aces in

    the 21st century is nding that t in terms

    o both physical work hours and virtual

    work hours. For the younger generations,

    the balance may be dierent than it is

    or our older companions. However,

    regardless o age, people should be

    mindul that the perception o what

    constitutes an optimum work/lie balance

    can be easily skewed by the seductive

    and eortless nature o electronic

    communications. But, by nding the rightbalance that is comortable and equitable

    or all, employers and workers can

    prosper together. TWA

    Use and Abuse of ProbabilityMany examples exist where well-

    meaning practitioners in probability

    apply all the correct ormulas and tools

    but get the answer completely wrong.

    Classic cases include the Monty Hall

    problem o which it has been sa id No

    other statistical puzzle comes as close to

    ooling all the people all the timeand

    a case o an appeal against a conviction

    o a mother whose two babies died o

    sudden inant death syndrome. Another

    example, which has been analyzed

    incorrectly in most publications and

    discussion groups, is the I have a boy

    born on a Tuesday question.

    Similar dangers exist in the realm

    o reservoir simulation. First, we oten

    take a single parameterized simulation

    model out o many possible geological

    realizationsthis immediately shits

    (biases) the mean and reduces our

    uncertaintyand we then compound the

    abuse by making untested assumptions

    about the correlations between

    para meters, which a ects downside

    risk. It may not be unt il we have

    perormed a n expensive but ineec tive

    water-injection plan that we realize the

    aults are mainly sealed and the assumed

    independence excluded this possibility

    in the original economic evaluation

    because it was at the very extreme tail o

    the S curve.

    ConclusionsGiven limitations in our current sotware

    tools, limitations in our knowledge o

    the static properties o the reservoir,

    uncertainty about parameter correlations,

    and unpredictability o uture operational

    decisions, it is tempting to give up and

    go back to the old waysbest history-

    matching case 10%.

    However, in the last decade,

    we have seen major advances in

    computing power, sotware, and

    algorithms, and, i the industry

    continues to invest in training young

    engineers in the skills required,

    par ticu larly in probabi lity and statist ics,

    it will be able to quantiy uncertainty

    with increasing understanding, rigor,

    and validity. This will then enable the

    engineering alchemists dream

    optimization and decision making

    under uncertainty. TWA

    Tech 101... Continued from page 22