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Record W1822441710 · doi:10.3968/5604

Effect of Water Salinity on Shale Reservoir Productivity

2014· article· en· W1822441710 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
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

VenueAdvances in petroleum exploration and development · 2014
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOil shaleGeologySalinityImbibitionOverburdenPetroleum engineeringPermeability (electromagnetism)BeddingGeochemistryGeotechnical engineeringChemistryOceanography

Abstract

fetched live from OpenAlex

It is well known that rocks containing water-reactive clays may swell when contacting with fresh water. In a conventional formation, this swelling may cause wellbore stability problem or damage formation by reducing its permeability. However, the effect of water salinity on shale rocks may be different. This issue is investigated in this paper. Shale rocks were immersed in water of different salinities. Shale rocks used were Mancos, Marcellus, Barnett and Eagle Ford. Different concentrations of NaCl and KCl salt solutions from 0% to 30% by weight were added in the water. It was observed that Mancos core plugs were crushed into loose grains (fragmented) at low salinity solutions up to 15%. Barnett core plugs showed consecutive cracks along bedding planes at low salinities. Minor cracks were seen on Marcellus, while no cracks at all were found in Eagle Ford core plugs at low salinities. When the shale plugs were saturated with oil, 2-15% oil was recovered by water spontaneous imbibition, depending on water salinity and rock mineralogy. Similar observations were made when shale core plugs were applied to an overburden pressure. The results from this paper help us to understand the drive mechanisms in shale oil and shale gas reservoirs. It also stimulates us to explore new ways to improve oil and gas recovery in shale reservoirs. Key words : Water salinity; Shale reservoir; Oil and gas recovery

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.008
GPT teacher head0.240
Teacher spread0.232 · 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