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Record W2736915452 · doi:10.1115/iogpc2017-2452

HSE and City Gas Distribution

2017· article· en· W2736915452 on OpenAlexaboutno aff
Ajay Sharma

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsStatutory lawAgency (philosophy)BusinessDamagesComputer securityEngineeringComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

City Gas Distribution is one of the most assured businesses in current times as Natural Gas being a clean fuel becomes the first choice of consumers. Though CGD Network has enormous potential and has evident advantages however, it brings alongwith it’s own challenges but the biggest challenge is the vicinity of CGD Network with common public. A major factor for success of CGD Network depends on the discipline and involvement of common public in keeping CGD Network safe and effective. This paper intends to discuss on HSE issues with focus on like Single Call system for India, Indian regulations Vs other countries and Quality Assurance. Single Call system for India is the most important issue of CGD Network that really needs to be deliberated. In India, more than 20 clearances need to be obtained from various statutory and civil authorities before execution of any CGD Network project which really affects the project cost, time, consumer benefits, emergency response and third party damages. Now let’s consider few international regulations like National Energy Board in Canada which is the nodal agency to ensure CGD pipelines are safe for public and environment. NEB regulations harmonize with provinces to ensure that any third party excavation work within pipeline corridor is carried out only after due communication to the pipeline company. The 49 US Code 60114 - One Call notification system also mandates that any third party before carrying out any excavation needs to establish if there are underground facilities present in the area of the intended activity and contact appropriate system. Indian regulations like T4S and ERDMP for CGD Network are indeed bringing all CGD companies at par in terms of design, safety, O&M and Integrity Management System. However, they need to sincerely look into Single Call System alongwith specific issues like interdistances, space constraints in big cities, compressor installation at height. Quality Assurance involves periodic inspection and maintenance of CGD asset through a systematic plan including identification of critical equipments, Preventive Maintenance Schedules, carrying out maintenance as per the PM, maintaining a database of observations and defects. A key component is the generation of baseline data for implementing and monitoring Integrity Management System for CGD Network. Hence, as CGD Network is a complex and dynamic distribution system involving public, private industries/commercials, civil authorities and wide geography, it is imperative to have a multi-pronged approach involving strict regulation enforcement, well informed public and latest technologies to ensure safe and efficient CGD Networks.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.079

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.190
Teacher spread0.180 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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