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Record W2120932497 · doi:10.2113/gscpgbull.60.3.186

Predicting the distribution of the tight sandstone gas in the Hechuan play, Sichuan Basin, China

2012· article· en· W2120932497 on OpenAlexvenueaboutno aff
QiulinGuo, Xiaolong Li, Caineng Zou, Junhua Hu, Ning Chen

Bibliographic record

VenueBulletin of Canadian Petroleum Geology · 2012
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
FundersCommonwealth Scientific and Industrial Research Organisation
KeywordsBeijingChinaPetroleum explorationStructural basinGeologyLibrary scienceCitationIconDistribution (mathematics)PetroleumMining engineeringArchaeologyGeographyGeomorphologyPaleontologyComputer scienceMathematics

Abstract

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Research Article| September 01, 2012 Predicting the distribution of the tight sandstone gas in the Hechuan play, Sichuan Basin, China QiulinGuo; QiulinGuo Research Institute of Petroleum Exploration & Development PetroChina Beijing, China 100083 Search for other works by this author on: GSW Google Scholar Xiaodi Li; Xiaodi Li Research Institute of Petroleum Exploration & Development PetroChina Beijing, China 100083 Search for other works by this author on: GSW Google Scholar Caineng Zou; Caineng Zou Research Institute of Petroleum Exploration & Development PetroChina Beijing, China 100083 Search for other works by this author on: GSW Google Scholar Junwen Hu; Junwen Hu Research Institute of Petroleum Exploration & Development PetroChina Beijing, China 100083 Search for other works by this author on: GSW Google Scholar Ningsheng Chen Ningsheng Chen Research Institute of Petroleum Exploration & Development PetroChina Beijing, China 100083 Search for other works by this author on: GSW Google Scholar Bulletin of Canadian Petroleum Geology (2012) 60 (3): 186–199. https://doi.org/10.2113/gscpgbull.60.3.186 Article history received: 23 Mar 2011 accepted: 25 Jul 2012 first online: 12 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation QiulinGuo, Xiaodi Li, Caineng Zou, Junwen Hu, Ningsheng Chen; Predicting the distribution of the tight sandstone gas in the Hechuan play, Sichuan Basin, China. Bulletin of Canadian Petroleum Geology 2012;; 60 (3): 186–199. doi: https://doi.org/10.2113/gscpgbull.60.3.186 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 The Hechuan gas play of the second member of the Xujiahe Formation (Xu-2) in Sichuan Basin of China has low porosity and permeability and is a typical tight sandstone gas resource play During 2008, 64 wells were drilled in the Hechuan gas play in our study area, of which 34 wells tested gas with commercial flow. The proven reserves in the Hechuan block (HC1) are 4.1 TCF over an area of 505.2 km2. The probable reserves in the Tongnan block (TN2) are 4.2 TCF in an area of 437.3 km2. To forecast the resource potential and geographic distribution of the tight gas in the Hechuan play, we used a numerical method to characterize the continuous tight gas accumulations. Unlike the existing models for conventional resource estimation, the genetic method proposed here is based on the principles of a unique trapping mechanism and pooling dynamics of the tight gas accumulations. We assume that the over-pressure associated with hydrocarbon (gas) generation in the source rocks is the primary driving force for gas migration and accumulation in tight reservoirs. This approach takes into account the interrelationships among the free-gas pressure in the source rocks, the reservoir formation water pressure, the capillary pressure, the compaction history, and diagenetic and hydrocarbon generation history and processes. A numerical model is established to represent the equilibrant processes of the various pressure components and the charging height of the free-gas column. The simulation results on both the resource potential and geographic location are consistent with what has been discovered in the target blocks (HC1 and TN2) and the model also predicted that about half of the total tight gas resource remains undiscovered. Geographically, the remaining resources are distributed in the northeastern areas of the HC1 block, and in the north and southeast of the TN2 block. Abstract La zone gazéifère de Hechuan du second membre de la Formation de Xujiahe (Xu-2) dans le bassin du Sichuan, en Chine, se caractérise par une faible porosité et perméabilité et en cela, elle représente les réservoirs gaziers compacts typiques dans des grès. Au cours de 2008, 64 puits ont été forés dans la zone gazéifère de Hechuan, le secteur étudié, dont 34 d'entre eux ont vu leurs essais de puits de gaz réussis avec une production commerciale. Les réserves prouvées dans le bloc de Hechuan (HC1) sont de 4,1 Tpi3 sur une superficie de 505,2 km2. Pour le bloc de Tongnan (TN2), les réserves probables sont de 4,2 Tpi3 sur une superficie de 437,3 km2. Pour prévoir le potentiel des ressources et la répartition géographique des réservoirs gaziers compacts dans la zone gazéifère de Hechuan, nous avons utilisé une méthode numérique pour caractériser les gisements continus de gaz compacts. À l'opposé des modèles d'estimation existants pour les ressources conventionnelles, la méthode génétique proposée dans le présent document repose sur les principes d'un mécanisme de piégeage unique et la dynamique de concentration des gisements de gaz compacts. Nous supposons que la surpression associée à la production d'hydrocarbures (c.-à-d. le gaz) dans la roche-mère est le principal vecteur de la migration et de l'accumulation gazéifères des réservoirs gaziers compacts. Cette méthode tient compte de l'interaction entre la pression du gaz libre dans la roche-mère, la pression d'eau de la géométrie du réservoir, la pression capillaire, l'historique de la compaction, les processus et l'historique de la diagenèse et de la production d'hydrocarbures. On établit donc un modèle numérique pour représenter les processus d'équilibre des diverses composantes de la pression et de la hauteur de charge de la colonne de gaz libre. Les résultats de la simulation touchant les ressources potentielles et l'emplacement géographique correspondent aux découvertes dans les blocs-cibles (HC1 et TN2), et le modèle a également prévu qu'environ la moitié de la totalité des gisements gaziers compacts demeure non découverte. Sur le plan géographique, le restant des ressources est réparti dans les régions nord-est du bloc HC1 ainsi qu'au nord et au sud-est du bloc TN2. Michel Ory You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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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)0.000
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 score0.453
Threshold uncertainty score0.900

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.179
Teacher spread0.174 · 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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Citations5
Published2012
Admission routes2
Has abstractyes

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