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کاربرد دادههای عنصری در بازسازی شرایط اکسیداسیون - احیای دیرینه سازند قم در برش خانیآباد، جنوب خاوری کاشان

2018· article· fa· W2890894170 on OpenAlexaboutno aff
الهام اسدی مهماندوستی, جهانبخش دانشیان, نعمت الله مارگیر

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languagefa
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Introduction The abundances of minor-elements in carbonate rocks depend on the noncarbonate materials, including detrital minerals, accessory authigenic precipitates, noncarbonate skeletal material, organic matter, phases formed during diagenesis and the elements adsorbed upon all of these materials (Graf, 1960; Lian et al. 2008). Mo, V, Cu and Ni abundancey in carbonate rocks depend on CaCO3, organic carbon (Le-Riche, 1959; Snow et al., 2005; Lian et al., 2008). The carbonate materials rich in organic matter should be enriched in Ag, As, Mo, V, Ni, Pb, Cu, Ge, Br and I whereas carbonate rocks and sediments containing manganese oxides have high amounts of Co, Mo and Ba trace elements (Krauskopf, 1955; Madhavaraju et al., 2015). Due to the economic importance of the Qom Formation as a hydrocarbon reservoir and presence of celectite and chalk deposits, this formation studied mostly on petrology, stratigraphy and paleoenvironment view (e.g. Seyrafian et al. 2007; Mohammadi et al. 2009; Reuter et al. 2009; Safari et al. 2014; Daneshian et al. 2017; Nasiri Ghareh Shiran 2017). However, minor geochemical studies were done on the Qom Formation deposits. In this research, the Qom Formation was studied by geochemical data in Khani Abad stratigraphic section from southeast of Kashan. The aim was to investigate the trace and major elements to reconstruction of paleoredox conditions and find their relationship with sedimentary environment. Material and Methods To determine sedimentary characteristic of the Qom Formation, 70 thin sections have been studied. Thin sections were stained with potassium ferricyanide and alizarin-red S solution (Dickson, 1965). The petrographic classification for carbonates is based on the Dunham limestone classification (1962) and Embry and Klovan (1971). Wilson (1975) and Flügel (2010) facies belts and sedimentary models were also used. After petrographic studies, twenty powdered micrite samples were analyzed by inductively coupled plasma atomic emission spectroscopy (ICP-AES) by 4-Acid Digestion method for trace, major and rare earth element contents at the Met-Solve Analytical Services Inc., BC, Canada. Discussion of Results & Conclusions The Qom Formation has 70 m thickness in Khani Abad stratigraphic section and consists of thin to thick bedded and massive limestone, argillaceous limestone and marl. This formation stay among non-marine rocks of lower and upper Red Formations. The petrographic study shows that the main grains in Qom Formation are foraminifers, red algae, echinoderm, bryozoan, pelecypods, gastropods, corals and peloids that have precipitated in lagoon and shoal facies belts. Geochemical data indicates that amounts of Al, Ti, Th and Zr are low in studied samples and might show the low terrigenous input during the precipitation of the Qom Formation carbonates. The amount As in selected samples are lower than 5 ppm. In two samples with argillaceous limestone and marl, the As content are increased in compare to others. There are a positive correlation between Sr contents with bivalve frequency and Na contents with foraminifera frequency as skeletal allochems in stratigraphic section. Sr/Ca versus Man and Mg show that the carbonate deposits of the Qom Formation are situated in mostly semi-closed to open diagenetic system. Also, variations in amounts of Mn, V/Cr, V/(V+Ni) and Mo/Zr ratios in studied carbonate rocks are indicative of mainly dysoxic conditions of precipitation in Qom Formation carbonates. Correlation of V/Cr ratio and amounts of Mn, Na and Ba versus skeletal allochems and facies belts shows that the frequency of these elements are different in depth of lagoon toward the land and shoal and in mid parts of lagoon. In middle parts of the lagoon with low level of energy, amounts of Ba, Mn and V/Cr are higher than other parts which indicates more dysoxic condition in comparison to other parts. In lagoonal parts toward the shoal, the V/Cr, Mn and Ba amounts are lower comparing to other parts that indicates oxic to dysoxic conditions.

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 score0.052
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0520.020

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 head0.233
GPT teacher head0.524
Teacher spread0.291 · 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".

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Published2018
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