MétaCan
Menu
Back to cohort
Record W3187130810 · doi:10.4043/30941-ms

Pathway to Decarbonisation and Maximum Value Recovery for Remote Offshore Gas Fields

2021· article· en· W3187130810 on OpenAlexaff
Laura Liebana, Terry Wood, Alaa Mansour, Ashley Coaker, Roy E. Hunt, Graeme Rogerson

Bibliographic record

VenueOffshore Technology Conference · 2021
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsIntecsea (Canada)
Fundersnot available
KeywordsSubseaEnvironmental scienceNatural gasNatural gas fieldSubmarine pipelinePetroleum engineeringFossil fuelGas compressorLiquefied natural gasEngineeringMarine engineeringWaste managementMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Gas developments are required to facilitate energy transition from carbon intensive energy to a sustainable balance of green and blue energy. The next decade will focus on exploiting gas fields globally to support this. A significant number of these fields are located in deepwater and /or are long distances from existing gas processing / LNG plants. Transporting large volumes of gas from remote gas fields over longer distances and in deeper waters remains technologically and economically challenging. Conventional and near-term development options include subsea compression, floating vessels with topside compression and pipeline tie-back to shore, or floating liquefied natural gas vessels. This paper and study are supported by The Oil & Gas Technology Centre (OGTC) and UK Oil and Gas Authority. It examines development options for a 200 km long 1700 m water depth tie back using integrated production modeling linked to power demands, along with installed steel tonnages. The Scope 1 and 2 emissions per unit of gas produced are analysed via a life cycle assessment using ISO 14044 as guidance for a long-distance gas tieback to the point of sale (inclusive of processing to sales specification). The major power intensive equipment used to develop these fields will be presented showing their proportion of the power consumption compared with the total; these include compression either onshore, offshore or subsea as well as the efficiency of the power generation devices in these environments. The paper will highlight the economics of each option and how varying the carbon price changes the commercial position of each option. The paper will show that by understanding what drives emissions, and how emissions relate to the amount of gas produced, that concept selection can drive upwards of 50% reduction in life cycle carbon emissions whilst improving project economic performance. This paper examines multiple innovative technologies, providing technology readiness of new concepts based on the benchmarked study focusing both economic and carbon emission aspects. Finally, the paper will show that better economic outcomes with the decarbonisation of gas gathering systems is technically possible and can be deployed subsea to help meet the energy transition and allow the development of remote and deeper gas fields.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score1.000

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 integrity0.0010.000
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 head0.013
GPT teacher head0.216
Teacher spread0.203 · 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.

Study designOther design
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOffshore Technology ConferenceSame topicOffshore Engineering and TechnologiesFrench-language works237,207