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Record W2170229187 · doi:10.2113/gscpgbull.63.1.33

Comparison of biogenic gas fields in the Western Canada Sedimentary Basin and Qaidam Basin: implications for essential geological controls on large microbial gas accumulations

2015· article· en· W2170229187 on OpenAlexafffundvenueabout
Z. Chen, Yanmin Shuai, Tony Hamblin, Stephen E. Grasby

Bibliographic record

VenueBulletin of Canadian Petroleum Geology · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsGeological Survey of Canada
FundersNatural Resources CanadaPetroChina Company Limited
KeywordsStructural basinGeologyGeological surveyChinaBeijingSedimentary rockIconCitationSedimentary basinLibrary scienceGeochemistryPaleontologyArchaeologyHistory

Abstract

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Research Article| March 01, 2015 Comparison of biogenic gas fields in the Western Canada Sedimentary Basin and Qaidam Basin: implications for essential geological controls on large microbial gas accumulations Z. Chen; Z. Chen Geological Survey of Canada Calgary, 3303-33rd Street NW, Calgary, AB T2L 2A7 Canada Search for other works by this author on: GSW Google Scholar Y. Shuai; Y. Shuai PetroChina, RIPED, Key Laboratory of Petroleum Geochemistry, China National Petroleum Corporation, Beijing 100083, China Search for other works by this author on: GSW Google Scholar K. Osadetz; K. Osadetz Geological Survey of Canada Calgary, 3303-33rd Street NW, Calgary, AB T2L 2A7, Canada Search for other works by this author on: GSW Google Scholar T. Hamblin; T. Hamblin Geological Survey of Canada Calgary, 3303-33rd Street NW, Calgary, AB T2L 2A7, Canada Search for other works by this author on: GSW Google Scholar S. Grasby S. Grasby Geological Survey of Canada Calgary, 3303-33rd Street NW, Calgary, AB T2L 2A7, Canada Search for other works by this author on: GSW Google Scholar Bulletin of Canadian Petroleum Geology (2015) 63 (1): 33–52. https://doi.org/10.2113/gscpgbull.63.1.33 Article history received: 27 Sep 2014 accepted: 16 Mar 2015 first online: 27 Nov 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Z. Chen, Y. Shuai, K. Osadetz, T. Hamblin, S. Grasby; Comparison of biogenic gas fields in the Western Canada Sedimentary Basin and Qaidam Basin: implications for essential geological controls on large microbial gas accumulations. Bulletin of Canadian Petroleum Geology 2015;; 63 (1): 33–52. doi: https://doi.org/10.2113/gscpgbull.63.1.33 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of Canadian Petroleum Geology Search Advanced Search Abstract Compared to conventional thermogenic petroleum, the exploration for large biogenic gas accumulations is more challenging because the gas occurs commonly at shallow depths in a petroleum system with weak top and lateral seals. In addition to fundamental environmental requirements, such as temperature and formation water composition, microbial gas generation and retention require adequate petroleum system elements in order to form economic accumulations. The geological characteristics of Southeast Alberta Gas Field (SAGF), a giant biogenic gas accumulation located in southeastern Alberta and southwestern Saskatchewan within the Western Canada Sedimentary Basin (WCSB), are compared to those of Sanhu Sag, Qaidam Basin in northwestern China, to provide insight into the critical geological controls for economic biogenic gas accumulations. It was found that multilayered reservoirs, consisting of multiple layers of thin porous units and interbedded with source rocks, provide a most efficient storage mechanism. Low relief structural and stratigraphic traps with lateral permeability seals, commonly of stratigraphic or diagenetic origin, are the most effective trapping mechanisms. The recognition of these common constraints provides insight for future exploration of other biogenic gas fields and prospects in the basins studied elsewhere. Abstract Par rapport au pétrole thermogénique conventionnel, l'exploration d'importantes accumulations de gaz biogénétique représente un plus grand défi, car le gaz existe couramment à de faibles profondeurs dans un système pétrolier où la roche couverture et latérale est faible. En plus des conditions fondamentales exigées sur le plan environnemental, entre autres la température et la composition des eaux de formation, la production et la rétention de gaz microbien exigent que les éléments du système pétrolier soient adéquats pour former des accumulations économiques. Pour nous donner une idée des facteurs géologiques qui régissent les accumulations de gaz biogénétiques sur le plan économique, nous pouvons comparer les caractéristiques géologiques du champ pétrolifère du Sud-Est de l'Alberta (SAGF), une nappe de gaz biogénétique de grande envergure du Sud-Est de l'Alberta et du Sud-Ouest de la Saskatchewan à même le bassin sédimentaire de l'Ouest canadien (WCSB), à celles de Sanhu Sag, du bassin de Qaidam, dans le Nord-Ouest de la Chine. Il a été constaté que les gisements multicouches, formés de minces unités poreuses et interstratifiées de roche mère, se révèlent un mécanisme de stockage des plus efficients. Les pièges structuraux et stratigraphiques de faible relief avec des roches couvertures latérales, généralement d'origine stratigraphique ou diagénétique, sont les mécanismes de piégeage les plus efficaces. Le fait de reconnaître ces contraintes courantes nous donnent un aperçu des éventuelles explorations de champs gazéifères biogénétiques et d'autres zones d'intérêt étudiées ailleurs.Michel Ory You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.749

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)0.0010.000

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 head0.022
GPT teacher head0.258
Teacher spread0.236 · 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

Citations19
Published2015
Admission routes4
Has abstractyes

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