MétaCan
Menu
Back to cohort
Record W2083583217 · doi:10.4043/22631-ms

Direct Electrical Heating of Flowlines - A Guide to Uses and Benefits

2011· article· en· W2083583217 on OpenAlexaff
Rebecca Fisher Roth

Bibliographic record

VenueOTC Brasil · 2011
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsIntecsea (Canada)
Fundersnot available
KeywordsFlow assuranceSubseaEnvironmental sciencePetroleum engineeringElectric heatingProcess engineeringOperating expenseComputer scienceHydrateElectrical engineeringMarine engineeringEngineeringChemistry

Abstract

fetched live from OpenAlex

Abstract Direct Electrical Heating (DEH) of flowlines is a flow assurance technology that enables development of fields with heavy oil and fields in arctic regions, fields with long subsea tiebacks, and marginally profitable offshore fields. By allowing for operation in conditions outside of the hydrate region and/or above the wax appearance temperature, DEH opens up areas of development not otherwise considered viable by production companies and can significantly reduce CAPEX and OPEX for already-viable fields. This paper provides an explanation of Electric Flowline Heating (EFH), both Direct and Indirect Electrical Heating, including how the technology works, the different types of systems, and the modes of operation. A listing of currently installed systems is also provided. A case study is used to illustrate the purpose and benefits of DEH, including improving the flow of heavy oil, prevention and remediation of hydrates and paraffins, extended shutdowns without the use of chemical injection or hot oil circulation, elimination of infrastructure for such chemical injection and hot oil circulation, reduction in associated CAPEX and OPEX, handling of high water-cut during tail end production periods, and third-party tie-ins with poorly-defined composition. Finally, considerations for expanding the applications of DEH are discussed. As interest in and usefulness of Direct Electrical Heating grows, the applications considered for DEH as a flow assurance solution become more challenging, such as whether DEH can be used for hydrate plug remediation, whether it can be used in continuous flowing conditions, and maximizing the length of a heated segment. All of these are questions and opportunities that are being addressed as the technology evolves. Introduction The potential for hydrate and/or wax formation is often a limiting factor in development of deepwater and ultra-deepwater, heavy-oil, and arctic fields. Many " marginally profitable?? oil and gas fields become economically viable only if the costs of a local host can be avoided. So tie-back lengths are on the rise, transporting the production stream greater distances from the subsea field to an existing near-by host or to a new host shared by a number of reservoirs spread over a large area. These greater distances result in higher temperature drops along the length of the flowline, resulting in a topsides arrival temperature relatively cool as compared to the reservoir and wellhead temperatures. Similarly, in deepwater and arctic developments, the heat lost from the production flow to the cold seawater causes a very low arrival temperature even in shorter flowline lengths. Although pure oil or pure gas flows would be less challenging to manage, the reality is that most reservoirs produce a multi-phase product (a combination of oil, gas, and water). At the low temperatures of deep and arctic waters, and over the long tie-back lengths of marginal fields, as the temperature of the production flow drops, the gas and water form hydrate crystals, similar to ice flakes. For reservoirs with heavy oil, the temperature of the product along the flowline and riser must also be maintained to ensure suitable flow. Wax content in the production fluid can also cause flow assurance concerns, and in this case, the temperature in the production flow must be maintained above the wax appearance temperature to avoid wax deposits coating the flowline walls and eventually restricting flow.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.008

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 head0.022
GPT teacher head0.238
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations16
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueOTC BrasilSame topicOil and Gas Production TechniquesFrench-language works237,207