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Record W2479959111 · doi:10.2118/08-12-37-tb

State-of-the-Art Tight Gas Sands Characterization and Production Technology

2008· article· en· W2479959111 on OpenAlexaffabout
Roberto Aguilera, Thomas G. Harding

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
FundersColorado School of Mines
KeywordsTight gasPetroleum engineeringUnconventional oilShale gasWork (physics)Natural gasTight oilOil shaleProduction (economics)EngineeringGeologyMining engineeringHydraulic fracturingWaste managementEconomicsMechanical engineering

Abstract

fetched live from OpenAlex

Abstract As part of the activities of the ConocoPhillips-NSERC-AERI Chair in Tight Gas Engineering established in the Chemical and Petroleum Engineering Department at the University of Calgary, a comprehensive literature review has been conducted that has led to an understanding of the current status of the study of tight gas sand formations. This paper presents the results of that work, concentrating initially on Canadian and U.S. tight gas sands. The literature survey discussed in this paper is the first part of the mission-oriented research on tight gas reservoirs conducted at the University of Calgary. The planned research looks at refining the resource base and recoveries from tight gas formations in Canada. Evaluating the current status of geologic models, reservoir characterization, recovery and production technologies currently available for these types of formations is the first step in the effort to reach the final goal: finding the economic means of producing as much of this gas as possible. It is expected that the research results will prove to be of value in other parts of the world and will be exportable, creating business opportunities for Canadian companies. The program will also result in a supply of highly qualified professionals having significant knowledge of tight gas formations. Introduction The complete reference list and interpretation of tight gas sands are presented by Aguilera and Harding(1). Tight gas sands are part of what is usually known as unconventional gas, which also includes coalbed methane, shale gas and natural gas hydrates. Although tight gas production is not reported separately in Canada, interest in this resource is growing significantly. Tight gas sands have been defined in different ways by different organizations and a unique definition has proven elusive. The original definition dates back to the U.S. Gas Policy Act of 1978 that required in situ gas permeability to be equal to or less than 0.1 mD for the reservoir to qualify as a tight gas formation. At present, this is probably the most commonly accepted definition. The National Energy Board (NEB) of Canada placed tight original gas-in-place at between 89 and 1,500 Tcf in 1999(2). The Canadian Association of Petroleum Producers (CAPP) indicates that, more recently, the National Energy Board estimated that Canada has 300 Tcf of tight gas-in-place(3). Although the figures vary significantly among different estimators, the pervasive opinion among experts is that there are significant volumes of gas-in-place in Canadian tight gas sands. The estimated volumes of unconventional gas throughout the world are gigantic, as shown in a study presented by Rogner(4). He estimated tight original gas-in-place (OGIP) at 7,500 Tcf for the entire world. Our preliminary estimates suggest that this figure is conservative. For other unconventional gas sources, the volumes are even higher. The above tight gas volumes are in, at most, 271 of the 937 recognized petroleum provinces in the world. An evaluation of the resources from the remaining provinces would lead to even higher estimates, as has occurred with more conventional hydrocarbon reservoirs(5).

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
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 head0.004
GPT teacher head0.165
Teacher spread0.161 · 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 designBench or experimental
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

Citations20
Published2008
Admission routes2
Has abstractyes

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