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Record W3138553211

Rapid elemental analysis using X-ray fluorescence and laser induced breakdown spectroscopy and their applications in the Mississippian Meramec, Anadarko Basin, Oklahoma

2020· article· en· W3138553211 on OpenAlex
Heyleem Han

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueSHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University) · 2020
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStructural basinSpectroscopyLaser-induced breakdown spectroscopyGeologyLaser-induced fluorescenceX-ray fluorescenceFluorescenceMineralogyFluorescence spectroscopyLaserOpticsGeomorphologyPhysicsAstronomy
DOInot available

Abstract

fetched live from OpenAlex

X-Ray fluorescence (XRF) and Laser Induced Breakdown spectroscopy (LIBS) are rapid elemental analysis techniques for rock cores and cuttings. Elemental analysis is useful in understanding geochemical, mineralogical, diagenetic and petrophysical characteristics of rock formations. Specific elemental concentrations, or their ratios, can be used as proxies to understand sedimentary depositional environments, diagenetic overprints, and organics. High spatial resolution XRF and LIBS data acquisition allow the capture of high frequency spatial changes in rock formations, providing a more accurate decision input for the target zones in horizontal drilling. Also, elemental analysis on cuttings across multiple wells can help geoscientists build a more robust reservoir model. The application of these scanning techniques reduces analysis time and quickens decision making.
\nElemental analysis on eight cores of the Mississippian Meramec in STACK (Sooner Trend Anadarko basin Canadian and Kingfisher counties) play was conducted using XRF and LIBS instruments. High resolution mineralogy profiles were generated from elemental data using internal inversion software which showed a trend with clay increasing and calcite decreasing in the depositional direction (NW to SE). From this elemental mineralogy database, both geological and petrophysical information were extracted. 
\nA model to predict high resolution porosity profiles was built using XRF elemental and mineralogy data. Brittleness is a formation property used in completion decisions. Mineralogy composites from elemental data were used to calculate a brittleness index. Furthermore, I attempted to identify the zones with biogenic quartz using Si and Zr proxies.
\nDuring the Mississippian period, most of the study area was covered by carbonate systems, and carbonate diagenesis was observed throughout the core. By integrating point count petrographic analysis with XRF data, quantification of carbonate diagenesis using Sr-ratio (Sr/(Ca+Mg)) was conducted. In the depositional direction, an increase of Sr-ratio implies that the formation suffered less carbonate diagenesis. High spatial resolution XRF data can capture formation heterogeneity. By comparing the 2 inch spatial resolution profile and 2 foot resolution profiles derived from smoothing XRF data, quantification of the degree of heterogeneity across the wells was performed. In the depositional direction, the formation became less heterogeneous as less discrepancy between the two rescaled data sets is observed. Lastly, in the distal direction, total organic carbon (TOC) concentration from LIBS as well as GRs and clay index were observed to increase.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.172
Teacher spread0.160 · 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