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Record W2170381731 · doi:10.1306/09140505131

Sandstone vs. carbonate petroleum reservoirs: A global perspective on porosity-depth and porosity-permeability relationships: Discussion*

2006· article· en· W2170381731 on OpenAlexaffabout

Bibliographic record

VenueAAPG Bulletin · 2006
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsARC Resources (Canada)
Fundersnot available
KeywordsGeologyPorosityPermeability (electromagnetism)CarbonatePetroleumGeochemistryCarbonate rockPetroleum reservoirPetrologyMineralogyGeotechnical engineeringPetroleum engineeringSedimentary rockPaleontologyMaterials science

Abstract

fetched live from OpenAlex

The recent article by Ehrenberg and Nadeau (2005) presents a useful compilation of porosity, permeability, lithology, geothermal gradients, and preuplift depths for the Alberta basin in Canada and other petroleum reservoirs around the world. The authors state that “the relative paucity of low-porosity (0–8%) siliciclastic reservoirs at all depths compared with carbonates may reflect the most common occurrence of fractures in carbonates and the effectiveness of these fractures for facilitating economic flow rates in low-porosity rock” (Ehrenberg and Nadeau, 2005, p. 435). One purpose of this discussion is to present data for 5915 reservoirs that tend to support the Ehrenberg and Nadeau statement. They conclude that their results “can serve as a general exploration guide for the probability of encountering the desired porosity and permeability at a specified depth in a frontier area” (Ehrenberg and Nadeau, 2005, p. 443). A second purpose of this discussion is to show a possible extension of their data for calculating pore-throat apertures ( r p35) and estimating the probability of encountering the desired oil rate in a given area. Figure 1 shows a crossplot of average porosity versus weighted mean oil recovery for 5915 pools in Alberta (adapted from Petroleum Society of the Canadian Institute of Mining, Metallurgy and Petroleum Engineers (CIM), 2004, p. 282). The recoveries apply to conventional crude oil. A wide variation in porosities and recoveries exists. Included in this plot are carbonates and clastics. The dashed line labeled “Max.,” drawn following the …

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 score0.463
Threshold uncertainty score0.940

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)0.0000.000

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 head0.012
GPT teacher head0.235
Teacher spread0.224 · 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

Citations21
Published2006
Admission routes2
Has abstractyes

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