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Record W4404879174 · doi:10.2118/1224-0042-jpt

European and US Efforts To Develop Geothermal Energy Are Headed in Different Directions

2024· article· en· W4404879174 on OpenAlexaboutno aff
Stephen Rassenfoss

Bibliographic record

VenueJournal of Petroleum Technology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsGeothermal gradientGeothermal energyPetroleum engineeringGeologyBusinessGeophysics

Abstract

fetched live from OpenAlex

_ Writing about emerging geothermal technology requires dealing with the fact that it is emerging in different forms in different places. A common thread of what’s new are methods based on drilling wells into hot rock to deliver fluid into hot formations to harvest energy. Chances are that sentence is not exactly an accurate description of any particular method because of the significant differences among them. Some use hydraulic fracturing while others do not. One pumps water from well to well, another into the fractures of a single well, and the third keeps the fluid inside the wellbore. And the end product varies as well. In the US, the big early developments are aimed at generating electricity for the grid and storing energy in developments where wells are fractured. In Germany, the big target is providing hot water to district heating systems that deliver it to a wide range of customers in urban areas. New technology there must avoid fracturing. In Germany, they are testing a new geothermal method that harvests heat in deep well loops using a fluid that brings energy to the surface with minimal pumping. “In Utah or Nevada, the use case is they do electric only versus in Europe where it is more heat plus electricity,” said Florian Mueller, a PhD candidate doing research on geothermal at the Energy and Technology Policy Group in Zurich, Switzerland. In both cases these methods were developed by startups whose early commercial applications require adapting to a mind-numbing list of external factors. As a result, “Geothermal will look different everywhere,” said Ken Medlock, the senior director of the Center for Energy Studies at Rice University, during a panel session at this year’s Offshore Technology Conference (OTC). Adaptation The differences reflect a common challenge faced by innovators. A practical solution to a pressing problem, engineered to be reliable and cost-competitive, is just the starting point. Growth from there will depend on how they adapt to the market. In the US, Fervo Energy’s first large-scale commercial project in southern Utah is heating water by pumping it from injection wells to production wells through rock fractured from both sides. Produced water will need to be around 400°F—higher is better—to ensure it can be used to efficiently generate electricity for consumers in southern California. In southern Germany, Calgary-based Eavor Technologies is building a series of 12 flow loops with cased vertical wells linked by a long, uncased lateral that is treated to ensure the fluid remains in the wellbore and is heated efficiently. When built, each loop will be filled with a fluid formulated to conduct geothermal energy to the surface where it will be used for home heating during the cold months, and electric generation during warmer ones. The differences often reflect the vagaries of regulation. Fervo is building its 400 MW geothermal electric plant, Cape Station, 500 miles from its initial customers at a site in southern Utah where the quality of the formation was already known because it adjoins the US geothermal test site commonly known as FORGE. Also, the remote desert site minimizes the likelihood of opposition to drilling and fracturing, which is not the case in California which has banned fracturing.

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)0.005
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0030.003
Scholarly communication0.0080.005
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0240.005

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 head0.230
Teacher spread0.223 · 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
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

Citations1
Published2024
Admission routes1
Has abstractyes

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