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Record W3208854587 · doi:10.2118/0921-0030-jpt

Rarefied Air: Drilling for Helium in North America

2021· article· en· W3208854587 on OpenAlexaboutno aff
Blake Wright

Bibliographic record

VenueJournal of Petroleum Technology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHeliumGovernment (linguistics)BusinessNatural gasNatural resource economicsFinanceEngineeringWaste managementPhysicsEconomics

Abstract

fetched live from OpenAlex

Helium is one of the most abundant in advanced medical technologies such as MRIs, and in cryogenics, aerospace applications, and microchip manufacturing. It is also used to fill party balloons. It’s essential, expensive, and supplies are running low. Helium is about 100 million times more abundant in one place—but that place is on the moon. While trace amounts can even be found in the very air we breathe, the gas is difficult to find in commercial quantities, and those quantities are usually found as a byproduct of natural gas discoveries. Historically, about 40% of the US supply of helium came from the Federal Helium Reserve, a US Bureau of Land Management (BLM)-operated storage reservoir, enrichment plant, and pipeline system near Amarillo, Texas. The reserve was set up in 1960 as a strategic repository so that BLM could supply crude helium to private helium refining companies, which in turn refined it and marketed it to consumers. In the mid-1990s, Congress passed a bill to sell off a large part of the reserve’s supply to help pay off the facility’s debt, and effectively set in motion the federal government’s exit from the helium business. In 2013, BLM said it would begin auctioning off an increased percentage of the reserve annually as part of the bill. Last year, BLM announced the closure of the reserve. At the time of the announcement, BLM Deputy Director for Policy and Programs William Perry Pendley said “now it is time for the US government to remove itself from the helium business and allow the private sector to further develop this industry to meet the supply needs of the United States, creating a sustainable economic model and jobs for Americans.” BLM held its final crude helium auction in 2019, with the price rising 135%, from $119/Mcf a year earlier to $280/Mcf. Market pricing for helium is difficult to know. It is not a traded commodity, and pricing is normally based on long-term, confidential contracts. It’s a niche market that suffers from a lack of detailed analysis due in large part to the availability of its closely held data. The helium industry shares many aspects of the oil and gas business. Commercial deposits are found via geological survey; then, once identified, drilling begins. Outside of the search and discovery, helium can also be a useful tool for those in the oil business. It can be used for leak detection and in specialized welding due to its inert properties and high heat transfer. Additionally, as the oil field moves more toward digitalization, storage of big data will need helium for the construction of storage drives and to keep server farms cool. Swapping Hydrocarbons for Helium As scientific developments advance, the need for helium increases—a notion not lost on Canada-based Avanti Energy. The company’s CEO Chris Bakker has more than 2 decades of experience in oil and gas, most recently working as a commercial negotiator with Encana/Ovintiv for major facilities and pipelines in the Montney gas play. Today, he and his team are looking for commercial helium deposits in southern Alberta and northern Montana.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.150
Threshold uncertainty score0.299

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.004
GPT teacher head0.200
Teacher spread0.196 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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