Health, Safety & Environment Management And ISO 14001 In Shell Canada:; Addressing Increasing Public Expectations In Exploration, Development, And Operations
Bibliographic record
Abstract
Abstract Shell Canada Limited has become the first integrated oil and gas company in Canada to register all its key operating facilities to the requirements of the international standard ISO 14001. The registrations also include Shell's onshore well construction and geophysical operations activities. The ISO 14001 sets guidelines for excellence in environmental management. One of the reasons Shell chose to register to the requirements of ISO 14001 was to address the increasing societal expectations on oil and gas exploration, development, and operations. It is no longer acceptable to tell the public and other stakeholders that the company is doing things properly with respect to health, safety, and the environment. We now must "show them", and "engage them". Proper consideration to "showing" and "engaging" the public is becoming part of the license to do business. This presentation will discuss what the ISO 14001 international standard requires, what Shell Canada's E&P business is doing to meet the Standard, and what this means for Shell Canada and their stakeholders. The presentation will discuss the various business processes and activities Shell utilizes as part of its HSE Management System to ensure proper management and control of all health, safety and environmental risks and concerns, and to address public issues. This includes Shell's HSE Assessment process for all new and existing activities, the Public Consultation Process, Contractor Management, and HSE Objectives and Targets setting process. Background Society's expectations of big corporations are changing. These expectations include the need for safe places to live and work, a healthy environment, environmental protection, conservation of biodiversity, clean air and water, and a reasonable rate of return on investment. Public confidence in large corporations is at a low ebb. Companies must do more than tell people what they are doing to meet these expectations. They must show them. In the past decade there have been many issues that the oil and gas industry has needed to address. Flaring has moved from being an environmental issue in the mid 1990's, to one of human and animal health. Global climate change has drawn significant national and international attention. Locally, issues of land use and the creation of new access in wilderness areas are of great concern. Recently, water supplies and usage have become significant issues in Alberta. Stakeholders of all types are demanding increased engagement and participation in the decision making process at the exploration, development and operation stage. The implications for the oil and gas industry are critical. Continuing to have access to explore and develop hydrocarbon resources is becoming a major issue for the industry. Shell Canada is striving to meet these changing expectations. In 1990 Shell adopted a formal policy and management system on sustainable development. Since then it has been working to integrate the economic, environmental, and social considerations of sustainable development into the Company's day-to-day business activities. This has been an evolutionary process. In recent years the most powerful addition to Shell's understanding of sustainable development has been the identification of the need for transparency in the Company's policies, plans, and performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".