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Record W2099802774 · doi:10.2113/gscpgbull.59.3.235

Horseshoe Canyon and Belly River coal measures, south central Alberta: Part 2 -- Modeling reservoir properties and producible gas

2011· article· en· W2099802774 on OpenAlexaffvenueabout
A. M. M. Bustin, R.M. Bustin, J. Russel-Houston

Bibliographic record

VenueBulletin of Canadian Petroleum Geology · 2011
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCanyonGeologyArchaeologyCitationMining engineeringPetroleumLibrary scienceGeographyPaleontologyGeomorphology

Abstract

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Research Article| September 01, 2011 Horseshoe Canyon and Belly River coal measures, south central Alberta: Part 2 — Modeling reservoir properties and producible gas A.M.M. Bustin; A.M.M. Bustin The University of British Columbia, 6339 Stores Road, Vancouver, BC V6T 1Z4, abustin@eos.ubc.ca Search for other works by this author on: GSW Google Scholar R.M. Bustin R.M. Bustin The University of British Columbia, 6339 Stores Road, Vancouver, BC V6T 1Z4, bustin@mail.ubc.ca Search for other works by this author on: GSW Google Scholar Author and Article Information A.M.M. Bustin The University of British Columbia, 6339 Stores Road, Vancouver, BC V6T 1Z4, abustin@eos.ubc.ca R.M. Bustin The University of British Columbia, 6339 Stores Road, Vancouver, BC V6T 1Z4, bustin@mail.ubc.ca Publisher: Canadian Society of Petroleum Geologists Received: 08 Apr 2011 Accepted: 12 Sep 2011 First Online: 13 Jul 2017 Online Issn: 2368-0261 Print Issn: 0007-4802 © the Society of Canadian Petroleum Geologists Bulletin of Canadian Petroleum Geology (2011) 59 (3): 235–260. https://doi.org/10.2113/gscpgbull.59.3.235 Article history Received: 08 Apr 2011 Accepted: 12 Sep 2011 First Online: 13 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation A.M.M. Bustin, R.M. Bustin; Horseshoe Canyon and Belly River coal measures, south central Alberta: Part 2 — Modeling reservoir properties and producible gas. Bulletin of Canadian Petroleum Geology 2011;; 59 (3): 235–260. doi: https://doi.org/10.2113/gscpgbull.59.3.235 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 gas reserves and well spacing units in the Horseshoe Canyon-Belly River Formation coal measures in Alberta are assigned based on gas-in-place determined by canister desorption tests of coal following ERCB (2010) guidelines. However, substantial gas, which is not measured by desorption tests, also occurs in the free state within the coals as well as adsorbed and in the free state within adjacent fine-grained strata (referred to here as shales) interbedded with the coals. A series of laboratory experiments (matrix flux, volumetric strain, rock mechanics) were conducted to quantify the reservoir properties of the coals and shales and were integrated with the results from field tests (well logs, pressure build-up) to be used as model inputs for a reservoir simulator. The purpose of the modeling was to address two main questions: 1) do variations in the amount of free gas within the matrix porosity of the coal seams affect production; and 2) to what extent is the gas stored within the strata interbedded with the coal seams co-produced?The free gas stored within a coal seam with an effective matrix porosity of 8% is shown to comprise on the order of 25% of the total original gas-in-place. The modeling results show that in high permeability coals (150 mD), an increase in production equivalent to the additional gas-in-place resulting from the free gas occurs after 25 years. Even very low permeability reservoirs (0.3 mD) are modeled to experience an approximately 2% increase in cumulative gas after 50 years of production.Including the gas bearing shales adjacent to the coal seams results in a substantial increase in producible gas. An increase of 144% in the cumulative gas produced after 50 years is observed when shales with a fracture permeability of 0.01 mD, matrix permeability of 1×10−4 mD, and an effective fracture spacing of 10 m are modeled with coal seams with a fracture permeability of 15 mD. The coal seams, being more permeable than the shales, act as horizontal drains for the over and underlying shale layers. The enhanced production is strongly dependent on the fracture and matrix permeability as well as the fracture spacing of the shales. The spacing of 4 wells/section, assumed in the above model, results in an estimated ultimate recovery (EUR) of 23% of the total original gas-in-place in the coals and 9% in the shales after 50 years of production. Downsizing to 8 wells/section increases the EUR to 35% for the coals and 15% for the shales and to 16 wells/section to 50% for the coals and 22% for the shales. The resulting increase in cumulative production with the decrease to 8 wells/section spacing is 57% and an additional 42% when further decreased to 16 wells/section. 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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.036
GPT teacher head0.160
Teacher spread0.124 · 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 designSimulation or modeling
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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Citations11
Published2011
Admission routes3
Has abstractyes

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