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Record W3005394844 · doi:10.1306/12031918208

Application of seismic curvature attributes in the delineation of coal texture and deformation in Zhengzhuang field, southern Qinshui Basin

2020· article· en· W3005394844 on OpenAlexaff
Lutong Cao, Yanbin Yao, Dameng Liu, Yanhui Yang, Ying‐Jin Wang, Yidong Cai

Bibliographic record

VenueAAPG Bulletin · 2020
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsGeologyCurvatureStructural basinDeformation (meteorology)Texture (cosmology)SeismologyPaleontologyGeometryImage (mathematics)Artificial intelligence

Abstract

fetched live from OpenAlex

ABSTRACT Coal texture refers to the in situ particle size, morphological characteristics, and structural components of coal beds, and it determines the permeability and producibility of a coalbed methane (CBM) reservoir. Coal texture is commonly classified into undeformed coal (with primary coal texture) and deformed coal (with increasing degree of deformation, including cataclastic coal, granulated coal, and mylonitized coal). Geophysical logging has recently been proven effective for detecting coal texture in boreholes, but it is inefficient for establishing a regional distribution where there have been only limited amounts of drilling. In contrast, seismic attributes have high lateral extent and an advantage in terms of characterizing fine structures (even minor faults with throws of 2–3 m) and other strata deformations. By comparing seismic curvature data to the results of 221 core samples from the Zhengzhuang field in the southern Qinshui Basin, we provide a seismic curvature attribute-based coal texture evaluation method. Evaluation of the results shows that the coal texture types of the no. 3 coal seam include undeformed coal, cataclastic coal, and some granulated coal. The undeformed coal is mainly located in the western and northwestern parts of the study area. The cataclastic and granulated coals are mainly distributed in the southern and eastern parts of the study areas. The permeability of no. 3 coal seam is weakly correlated with undeformed coal, and it has a high negative correlation with deformed coal. Permeability has a strong negative correlation with the maximum curvature attribute of the no. 3 coal seam. It is suggested that the in situ stress distribution combined with the curvature controlled the local development of the coal texture types and thus resulted in regional differences in permeability. Finally, the distribution characteristics of coal textures of no. 3 coal seam in the study area are divided into four types, in which the undeformed-cataclastic coal-dominated area (located in the midwestern part of the study area) is the most favorable area for CBM production.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.009
GPT teacher head0.185
Teacher spread0.176 · 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".

Quick stats

Citations41
Published2020
Admission routes1
Has abstractyes

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