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Record W1982073159 · doi:10.2118/0415-0106-jpt

Technology Focus: Natural Gas Processing and Handling (April 2015)

2015· article· en· W1982073159 on OpenAlex
Xiuli Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Petroleum Technology · 2015
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsNatural gasGas consumptionConsumption (sociology)ChinaAgricultural economicsFossil fuelNatural resource economicsGeographyEconomicsEngineeringWaste managementPetroleum engineering

Abstract

fetched live from OpenAlex

Technology Focus Of the top 10 largest discoveries in 2013, half are natural-gas discoveries and all are in offshore environments, primarily in Africa (Mozambique, Angola, and Tanzania), Far East Asia (Malaysia), and transcontinental countries (Egypt), with estimated resources of more than 4,000 million BOE. The rest of the discoveries are mainly light oil, very likely containing associated gas. To bring gas from remote locations to the markets will remain an imposing task, with unavoidable challenges in terms of exploration, production, processing, and transportation, especially now when both oil and gas prices are low. The leading countries in natural-gas production in 2013, the same as in 2012, were the US (687.6 billion m3, 20.6% of total world gas production), the Russian Federation (604.8 billion m3, 17.9%), and Iran (166.6 billion m3, 4.9%). On the consumption side, the natural-gas consumption growth rate has been steady in the past decade (2003–13) with an average growth rate of 2.6%, while 2010 had a negative growth rate of -2.1%; 2011 had the highest rate at 7.6%; and, in 2013, the growth rate was 1.4%. The US is, by far, the leading country in natural-gas consumption (737.2 billion m3, 22.2% of total world gas consumption), followed by the Russian Federation (413.5 billion m3, 12.3%), China including Hong Kong SAR (164.2 billion m3, 4.95%), and Iran (162.2 billion m3, 4.8%). China had the highest gas-consumption incremental of 15.3 billion m3 from 2012 to 2013, followed by the US (14.2 billion m3), Brazil (5.9 billion m3), and Germany (5.3 billion m3). On the transportation side, the numbers are similar: Approximately 1035.9 billion m3 of gas was transported in 2013, which was a 1.5% increase over 2012. Of that, approximately 68.6% was transported by pipelines and the rest was by liquefied natural gas (LNG) in 2013 vs. 68.0% for pipelines and 31.8% for LNG in 2012. The Russian Federation, Qatar, Norway, and Canada are the top four countries in exporting gas (225.5, 125.5, 106.2, and 78.9 billion m3, respectively) and accounted for more than 51% of total world gas movement. The Russian Federation remains the dominant player in pipeline transportation, moving approximately 30% of total global pipeline gas, while Qatar moved more than 32% of the total LNG worldwide. With so many new gas discoveries in offshore locations, transporting gas across water will remain one of the major challenges in gas monetization, and pipelines and LNG (including floating LNG) will remain the primary means of natural-gas transportation. More information will be presented at the SPE Workshop on Gas Field Developments— Pushing the Limits, which is scheduled for 8–11 March 2015 in Kota Kinabalu, Malaysia. JPT Recommended additional reading at OnePetro: www.onepetro.org. OTC 24674 Accurate Phase- Equilibria Predictions for Hydrates of Multicomponent Natural Gases by Prathyusha Mekala, Indian Institute of Technology, Madras, et al. OTC 25413 Qualification of a Cryogenic Floating Flexible Hose Enabling Safe and Reliable Offshore LNG Transfer for Tandem FLNG Offloading Systems by Vincent Lagarrigue, Trelleborg, et al. SPE 172079 Improving Gas/Condensate Recovery Factor and Addressing the Flow- Assurance Issue With an Innovative and Highly Accurate Fluid Sensor for Wet-Gas Business by B. Pinguet, Schlumberger

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.259
Teacher spread0.248 · 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