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Record W2038624027 · doi:10.5539/jgg.v5n3p12

Isfir Al-Mahata: A Newly Discovered Subsurface Oil Shale Deposit in Southern Jordan

2013· article· en· W2038624027 on OpenAlexvenueno aff
Hani M. Alnawafleh, Khalid Tarawneh, Ali Ghannam, Lutfi Abu-Sa’ad

Bibliographic record

VenueJournal of Geography and Geology · 2013
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOil shaleGeologyGeochemistryMarlPetrographyQuartzCalciteMineralogyPaleontologyStructural basin

Abstract

fetched live from OpenAlex

This is the first study focuses on the characteristics of newly discovered subsurface oil shale deposit in Isfir Al-Mahata Area in the southern part of Jordan. This area considered as one of the promising oil shale resources that are located in the southern region. This study aims through mineralogical and geochemical analyses to shed light on the characteristics of this potential resource. Oil shale is described as bituminous chalk marl phosphatic rich at the bottom. A total of 115 meters of oil shale were penetrated and recorded. Oil content is about 6% in the first 80 meters and increases to 11% in the remaining part. Petrography indicates that the oil shale of this borehole is foraminiferal wackestone changes to grainstone in the lowermost part. Amorphous organic matter is filling foram’s cavities and dispersed within the mineral matrix. The later consists mainly of calcite with minor amounts of quartz, clay and apatite. With exception of the lower most part, major and minor elements oxides reveals minor variation indicate stagnant formational conditions. High terrestrial input contribution is expected.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.005
GPT teacher head0.191
Teacher spread0.186 · 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 teacher head, 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

Citations5
Published2013
Admission routes1
Has abstractyes

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