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Record W2079446696 · doi:10.2118/1005-0014-jpt

Comments: Help Wanted

2005· article· en· W2079446696 on OpenAlexaboutno aff
John Donnelly

Bibliographic record

VenueJournal of Petroleum Technology · 2005
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsWorkforcePetroleum industryEconomic shortageConsolidation (business)BusinessLimitingCompetition (biology)Agency (philosophy)EconomicsGovernment (linguistics)Economic growthFinanceEngineering

Abstract

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From Canada to Scotland to west Texas, there are reports of labor shortages when oil prices and demand forecasts suggest the need for an acceleration of E&P activity. This may be just short-term fluctuations in the job market, or it may be that the predictions of a dwindling supply of skilled professionals in the oil and gas industry are finally coming true. Of all the challenges the industry faces—geopolitical tension limiting opportunities, lack of decent prospects, poor public opinion, outdated rigs and equipment—some find forecasts of a skilled worker shortage the most foreboding. No matter how technologically savvy the industry has become, you cannot produce a sufficient amount of oil and gas, or at least not as much as the Intl. Energy Agency believes the world will need over the next several decades, without good workers. And human resources take time to develop, so companies may be fighting over the pool of available workers in the meantime. And in some regions, there are just fewer workers than there used to be, which is affecting numerous professions. The U.K. has 1 million fewer people in their twenties than a decade ago. That means the competition for skilled workers across all industry sectors will be fierce. The worker shortage in the oil industry goes back to the mid-1980s’ oil price crash. Layoffs were widespread, and people were discouraged from joining the industry. The consolidation of the workforce continued through the 1990s amid the wave of mergers and acquisitions, and younger people looked elsewhere for careers. The industry’s poor public image in some countries and the boom-and-bust nature of the business has not helped. Neither have predictions about whether global oil production has peaked or plateaued and has nowhere to go but down, regardless of whether those predictions are true. Even in regions where the industry is held in high esteem, who wants to join an industry that may be on its way out, particularly when so many other professions look so promising? There have been more than 1.1 million layoffs in the oil and gas industry since 1981, according to oil consultancy John S. Herold, and a severe personnel crunch will occur unless the industry takes drastic steps to reverse the “brain drain” occurring as older workers retire. Employment at 25 of the largest companies, including majors and independents, fell 4% last year, the 20th annual decline in the past 23 years, the consultancy says. Since 1999, the industry has eliminated 120,000 positions. Some of this represents efficiency. Private oil firms have been paying more attention to Wall Street, which favors lean companies. Last month at the biennial Offshore Europe conference, the Aberdeen and Grampian Chamber of Commerce issued a report that contends that a shortage of key skills is the most important strategic threat to the industry’s future. “As an industry, we are beginning to feel the skills constraint,” Kieron McFadyen, Shell Exploration and Production Technical Vice President, said at the report’s release. “Industry costs are increasing and our workforce is being asked to cope with an ever demanding workload driven by increased activity levels.” The Chamber reported earlier this year that 80% of producers said they recently have attempted to hire staff, with two-thirds reporting difficulties in finding the right workers. Shortages are occurring across the industry, including managerial and technical positions, and specifically in the drilling, subsea, and reservoir sectors. But progress in meeting this obstacle is being made. SPE has embarked on programs to encourage young professionals and educate the public about energy, which will only improve the industry’s image. Several companies are generously supporting initiatives to strengthen ties with universities and enhance worker competency and knowledge. With global demand for hydrocarbons showing no signs of slowing down, the human resource challenge may rival any technical challenge the industry faces in the years ahead.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.944
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.273
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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