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Physical simulation experiment on horizontal docking well leaching for salt cavern storage

2024· article· en· W6918132998 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsLeaching (pedology)BrineDissolutionDocking (animal)Groundwater

Abstract

fetched live from OpenAlex

Objective Horizontal docking well leaching is prevalently applied among salt chemical enterprises for brine extraction. However, controlling the cavern shape becomes challenging when this technique is utilized, primarily due to the absence of dissolution inhibitor cushions. Although this cushion method is commonly employed in salt cavern storage to improve cavern shape control, it has not been applied to docking well leaching. To effectively guide the field application of this method, research into the influence patterns of dissolution inhibitor cushions on the cavern shapes resulting from docking well leaching and brine concentrations is necessary. Methods Based on the characteristics and deficiencies of brine extraction methods currently applied by salt enterprises, a novel approach for docking well leaching was introduced. This process involves alternating water injection between two wells equipped with dissolution inhibitor cushions and the phased lifting of tubing strings for leaching and cushions. Based on the similarity theory, an experimental platform was set up for physical simulations of docking well leaching using the proposed approach. The accuracy of the simulation results was verified through a comparison with field data collected from a docking well at Huai'an Salt Mine in Jiangsu Province. Furthermore, this study delved into the influence patterns of various factors on cavern shapes and mass concentrations in brine displacement, including formation dips, displacements, cushion and tubing string control, as well as water injection circulation modes. Results The caverns produced by horizontal docking well leaching optimized by dissolution inhibitor cushions exhibited U-shaped configurations with substantial volumes and high brine concentrations, surpassing those achieved by a single vertical well setup. The presence of formation dips led to elevated horizontal channels and decreased mass concentrations in brine displacement during water injection into the vertical well. Significant displacements contributed to increased cavern volumes, expanded horizontal channels, and enlarged caverns on both sides. Cushion control notably impacted cavern shapes, with prolonged retention at the same position leading to flat tops. Conversely, tubing string control had minimal influence on cavern shapes. Additionally, in the presence of formation dips, the water injection circulation modes notably influenced cavern shapes and mass concentrations in brine displacement. Conclusion The horizontal docking well leaching enhanced by dissolution inhibitor cushions offers an efficient way of leaching, showcasing benefits such as manageable cavern shapes and elevated brine concentrations. This technique stands out as a dominant area for the advancement of leaching methods in salt cavern storage. Nevertheless, given the constraints of laboratory research, future efforts should prioritize conducting field experiments.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.124
GPT teacher head0.513
Teacher spread0.389 · 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 designSimulation or modeling
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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