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Record W1982678188 · doi:10.2523/iptc-11507-ms

Shell's Canadian Sulphur Experience

2007· article· en· W1982678188 on OpenAlexaffabout
Larry Marks, Michael R. Martin

Bibliographic record

VenueInternational Petroleum Technology Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsShell (Canada)
Fundersnot available
KeywordsSour gasFossil fuelPetroleum industrySulfurEngineeringMiddle EastBusinessWaste managementNatural resource economicsNatural gasPolitical scienceEnvironmental engineeringChemistryEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Canada has for many years been one of the world's largest producers of by-product sulphur due to its extensive sour oil and gas operations. As such, much attention has been placed on proper sulphur management to ensure continued operation of these sour fields. It is anticipated that many more sour oil and gas fields will be developed during the next decade worldwide. This, coupled with ever increasing regulations to remove more sulphur from fuels, is expected to increase the worldwide supply of sulphur. Shell Canada is at the forefront of developing new sulphur related technologies intended to increase the economic use of much of these sulphur volumes. These technologies include sulphur asphalt, sulphur enhanced fertilizer and sulphur concrete. Appropriate management of elemental sulphur by the oil and gas producers will be a key element to continued successful development of sour fields. Many of the sulphur challenges faced in Canada over the past 50 years are the same that will be faced by many others in the future. The methods by which Canada has faced these challenges and successfully managed them have been of interest to many oil and gas producers worldwide and particularly in the Middle East. This paper will discuss the various sulphur management options developed by Shell in Canada and present several recent applications in ME, Asia and North America. Section 1 - Title Page Today's oil and gas industry is under tremendous pressure to continue satisfying the world's growing energy needs. As most sweet (low acid gas) resources are developed, the primary reserve replacement potential is increasingly sour in nature. Coming at the same time as increasingly cleaner fuel specifications in which desulphurization is the primary process technology, it is clear that management of sulphur will be an important differentiator in oil and gas development. Shell in Canada has experience in successfully dealing with sour oil and gas for over sixty years. The purpose of this presentation is to provide some background about Shell's sulphur experience in Canada and to share some of our plans for managing Shell's sulphur production in the future. The methods Shell employed in Canada met the challenges of safely extracting sour hydrocarbons and efficiently managed these operations and the resulting sulphur production. Section 2 - Agenda Highlights of Shell Canadian experience in sour field development Canada's historical and current methods of managing the sulphur business Sulphur marketing Shell's new global sulphur organization New sulphur initiatives Conclusion Section 3 - Highlights of Shell Canadian Experience in Sour Field Development All of Shell's Canadian sour gas fields lie in the Foothills disturbed belt, in front of the Rocky Mountain over thrust zone. Production is from Mississippian and Devonian carbonates. Shell started sour gas operations in 1951 in the Alberta foothills at the Jumping Pound field, containing gas with 5 - 10% H2S. It was the first gas plant in Canada to utilize amine sweetening technology and had a major impact on development of sour gas technologies - including the development of sour gas materials handling standards (NACE) and the use of the first wet sour gas pipelines. Another Foothills field, Waterton, went on-stream in 1962 containing between 15 and 20% H2S and required further material handling innovations. Sour gas re-injection was utilized for condensate recovery and this field is still in major operation today. Burnt Timber began operations in 1970 with an H2S content of up to 30%. It included the first super-Claus unit in Canada as well as a 49 kilometer wet sour gas pipeline.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.036
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.002

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 head0.007
GPT teacher head0.220
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2007
Admission routes2
Has abstractyes

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