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Record W4232826101 · doi:10.2523/86619-ms

Integrating Sustainable Development in the Oil and Gas Industry: The Logical Level Approach To Enhance SD Training Effectiveness

2004· article· en· W4232826101 on OpenAlexaboutno aff
S. de Bie, Gilden Nanda

Bibliographic record

VenueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production · 2004
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsComputer sciencePetroleum industryTraining (meteorology)Sustainable developmentRisk analysis (engineering)EngineeringBusinessEnvironmental engineering

Abstract

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Integrating Sustainable Development In The Oil And Gas Industry: The Logical Level Approach To Enhance SD Training Effectiveness Steven de Bie; Steven de Bie Shell International B.V. Search for other works by this author on: This Site Google Scholar Nanda Gilden Nanda Gilden Consultant Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. Paper Number: SPE-86619-MS https://doi.org/10.2118/86619-MS Published: March 29 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation de Bie, Steven, and Nanda Gilden. "Integrating Sustainable Development In The Oil And Gas Industry: The Logical Level Approach To Enhance SD Training Effectiveness." Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. doi: https://doi.org/10.2118/86619-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability Search Advanced Search AbstractMore and more oil and gas exploration and production companies are aware of the shift they need to make in their efforts to perform, both environmentally and socially. Societal concerns require a significant change in business management in order to maintain their license to exist. Sustainable Development (SD), together with Corporate Social Responsibility (CSR), has become a major issue for oil and gas companies and their operations. Companies try to live up to the respective expectations through integrating SD into their business.Consequently, both management and staff of oil and gas companies have to be aware of the values and principles that come along with SD, and to understand the importance for their license to exist and continuous improvement of overall performance. They need to know about instruments and tools that facilitate them to integrate SD in daily operations. Also they need skills and competencies to communicate with their colleagues, management, contractors and relevant stakeholders on their efforts, obstacles and achievements.We developed a two-day SD-training module that contains all these three elements: awareness, instruments and tools, and communication skills. The training module pays special attention to provide a lively mixture of focus on awareness and commitment, and familiarising with practical tools, techniques and skills for daily practice at the one hand, and working individually and in small groups alternately at the other hand.We realised that managing change, increase awareness and adoption of new tools and techniques can only be effective if provided at the appropriate 'logical' level of an employee, at his innate level of driving force, and at a corresponding level in his company. Therefore the training module is structured according to the principle that change at a higher level will result in change at lower levels.As we noticed the utmost importance of avoiding soft and abstract discussions, the red line in the module is the focus on practice and skills, bringing SD close to the people, their work and individual habits, their individual ecological footprint, and especially on giving the participants guidance how to contribute to SD the next day, at home and at work.The training module was provided to various workforce levels of a (western) EP company and judged by the participants as being a highly appreciated and effective training.We conclude that SD training modules such as the one we developed can play an important and often decisive role in the enhancing a company's license to exist.IntroductionMore and more oil and gas exploration and production companies are aware of the shift they need to make in their efforts to perform both environmentally and socially, as a response to societal changes. First change is that society has lost their trust in business; we have moved from a 'trust me' to a 'show me' world. Business is expected to do the right thing everywhere and at all times. Second change is that over the last decade society has increasingly grown worried about the long-term negative impacts on the environment and society as resulting from today's economic development. The sustainability of our world is at stake. Keywords: sustainability, presentation, conviction, logical level, competence, social responsibility and development, module, programme, participant, upstream oil & gas Subjects: Sustainability/Social Responsibility, Social responsibility and development, Sustainable development This content is only available via PDF. 2004. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.078
GPT teacher head0.301
Teacher spread0.223 · 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 designOther design
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".

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Published2004
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