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Record W4251381002 · doi:10.2523/74080-ms

Conducting Public Health Risk Assessment in a Remote Drilling Site in Indonesia: An Experience

2002· article· en· W4251381002 on OpenAlexaboutno aff
Zainal Zainuddin, Hasan Dr Abu, B. Dr Irwan, Basuni Hanapi, Frank Zampello

Bibliographic record

VenueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production · 2002
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsCitationKuala lumpurEngineeringPublic healthLibrary scienceOperations managementMedicineBusinessNursingComputer scienceMarketing

Abstract

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Conducting Public Health Risk Assessment in a Remote Drilling Site in Indonesia: An Experience Zainal Mubarik Zainuddin; Zainal Mubarik Zainuddin ExxonMobil Exploration and Production Malaysia Inc. Search for other works by this author on: This Site Google Scholar Abu Hasan Samad; Abu Hasan Samad ExxonMobil Exploration and Production Malaysia Inc. Search for other works by this author on: This Site Google Scholar Irwan B. Hasyim; Irwan B. Hasyim ExxonMobil Oil Indonesia Search for other works by this author on: This Site Google Scholar Hanapi Basuni; Hanapi Basuni ExxonMobil Oil Indonesia Search for other works by this author on: This Site Google Scholar Frank C. Zampello Frank C. Zampello ExxonMobil International Medicine and Occupational Health 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, Kuala Lumpur, Malaysia, March 2002. Paper Number: SPE-74080-MS https://doi.org/10.2118/74080-MS Published: March 20 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Zainuddin, Zainal Mubarik, Samad, Abu Hasan, Hasyim, Irwan B., Basuni, Hanapi, and Frank C. Zampello. "Conducting Public Health Risk Assessment in a Remote Drilling Site in Indonesia: An Experience." Paper presented at the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production, Kuala Lumpur, Malaysia, March 2002. doi: https://doi.org/10.2118/74080-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability Search Advanced Search AbstractAs the Company continues to explore new business opportunities in remote, less developed frontier regions of the world; the challenge of maintaining high safety and health standards is increased. The risks of illness and injury in such operations are not only from the traditional occupational health factors such as chemical and physical hazards but also from the local environmental health factors and endemic diseases. Examples of such diseases are adverse reactions to the different or extreme climate, vegetation, insect and other vectors; diseases transmitted by insects and other vectors (e.g. typhoid, cholera, malaria, Japanese B encephalitis, dengue fever); local public health and hygiene practices (e.g. gastrointestinal diseases related to food and water contamination, sexually transmitted disease). The health risks may further increase due to limited medical resources and facilities, and remoteness of the site for timely delivery of routine and emergency care to the workforce. As these new business opportunities are pursued, maintaining safe operations and healthy workforce remains to be highest priority. Hence, like all other aspects of business, health and safety should be addressed systematically and consistently.A standard process of conducting public health and medical resource assessments was developed by the Company to professionally and systematically evaluate health risks and level of medical support using Public Health Risk Matrix, Infectious Diseases Matrix, evaluation forms, etc. The results of the assessments are used as the basis for developing riskbased, operation-specific public health risk controls and level of health care support for both routine and emergency.The paper intends to share our experience in conducting the public health and medical resource assessments using the standard process in a remote drilling site in Cepu, East Java in Indonesia. The results of the assessment, the recommendations, issues and challenges from the exercise will be discussed.IntroductionIncreasingly, the Company's opportunities for long-term development of oil and gas exploration and production are occurring in the regions of the world with limited health infrastructure and less-than-optimum health status such as in Nigeria, Angola, Chad, and Indonesia.This also means a vast number of key employees in the Company whom most would potentially from developed countries such as the United States, United Kingdom, Australia and Canada will be relocated to these countries. In the host countries these expatriates often face with health hazards not experienced by them at home.It is well recognized that the success of operating business in these less developed parts of the world is very much dependable on the health of the workforce (both the expatriates and the local). Addressing the health concerns is of paramount importance and requires developing a strategic health management plan aligned with company's overall policy and objectives. In order to achieve this, initial health risk and impact assessment need to be carried out and the findings used as a basis for formulating the strategic health management plan. This paper describes our experience in conducting the initial health risk assessment and the assessment of the local medical resources as the venture office and the drilling operations being commenced in Cepu Block, Eastern Java of Indonesia. Keywords: recommendation, vaccination, matrix, health impact assessment, resource assessment, likelihood, risk assessment, spe 74080, health & medicine, medical treatment Subjects: Health, Risk Management and Decision-Making, Health impact assessment, Community health outreach, Infectious diseases (HIV/AIDS, malaria, tuberculosis), Risk, uncertainty, and risk assessment This content is only available via PDF. 2002. 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.568

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 communication0.0000.001
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 head0.127
GPT teacher head0.321
Teacher spread0.194 · 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 designSimulation or modeling
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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Published2002
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