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Record W4413984642 · doi:10.1016/j.gsf.2025.102148

Present-day temperature and pressure fields in key areas of Northeast China: Implications for unconventional resource evaluation

2025· article· en· W4413984642 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGeoscience Frontiers · 2025
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of Alberta
FundersNational Key Research and Development Program of ChinaChina Scholarship CouncilUniversity of Alberta
KeywordsChinaResource (disambiguation)Key (lock)Earth scienceGeologyEnvironmental resource managementEnvironmental scienceGeographyComputer scienceArchaeologyComputer security

Abstract

fetched live from OpenAlex

The temperature-pressure fields within hydrocarbon-bearing basins are key geological factors controlling hydrocarbon generation, migration, and accumulation. In this study, we focus on the Qingshankou Formation in the northern part of the central depression of the Songliao Basin, China. A multi-parameter weighted evaluation model was created using present temperature-pressure field characteristics, with formation temperature-pressure as core variables, to evaluate shale oil resource potential. In addition, we explored the control mechanisms of temperature–pressure evolution during geological history on shale oil accumulation and further assessed the applicability of the proposed method. Our results show that the geothermal gradient of the Qingshankou Formation decreases from Member 1 to Member 3 (3.84°C/100 m, 2.93°C/100 m, and 2.49°C/100 m, respectively). High-temperature zones are widely distributed in the Gulong sag, with the average temperature of the Gulong shale exceeding 95°C and reaching an average of approximately 115°C. Overpressure in the Qingshankou Formation exhibits a west–high to east–low trend. The overpressure zones of the Gulong shale are mainly concentrated in the Qijia–Gulong and Sanzhao sag, with average pressure coefficients of 1.52 and 1.36, respectively. The Opc model identified Class I and II favorable zones, mainly located in the central and southern parts of the Gulong Sag, as well as the central and southwestern Sanzhao Sag, with estimated shale oil resources of 7.1 × 10 8 tons and 17.2 × 10 8 tons, respectively. Evolutionary profiles from representative wells indicate that elevated temperatures enhance organic matter maturation and light oil generation, improving shale oil mobility, while overpressure suppresses hydrocarbon dissipation and provides a sufficient driving force for oil production. This study demonstrates that present-day temperature-pressure fields effectively reflect the evolution trends of paleo-thermal and pressure regimes. The proposed evaluation method shows strong applicability and scalability, offering a new technical framework and theoretical foundation for the exploration of unconventional hydrocarbon resources.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.243
Teacher spread0.235 · 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