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Record W2033048242 · doi:10.2118/89340-ms

Estimation of Oil Recovery and CO2 Storage Capacity in CO2 EOR Incorporating the Effect of Underlying Aquifers

2004· article· en· W2033048242 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSPE/DOE Symposium on Improved Oil Recovery · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsCarbon sequestrationEnhanced oil recoveryEnvironmental scienceFossil fuelPetroleum engineeringGreenhouse gasAquiferBio-energy with carbon capture and storageClimate changeCarbon dioxideWaste managementGeologyGroundwaterEngineering

Abstract

fetched live from OpenAlex

Abstract Atmospheric concentrations of CO2 have risen since the beginning of the industrial revolution, primarily as a consequence of fossil fuel combustion for energy production and other industrial activities. Recognizing the challenge imposed by the potential for climate change, recent initiatives by various governments and by energy producers target a significant reduction in the intensity of CO2 emissions into the atmosphere. A major mitigation strategy for reducing the intensity and amount of CO2 emissions into the atmosphere is CO2 capture and sequestration, of which geological sequestration is a major component. Although enhanced oil recovery operations have the lowest capacity of all options for geological CO2 sequestration, they are most likely to be implemented first because of the additional economic benefit that will help offset the cost of CO2 sequestration. Assuming that the pore space previously occupied by the produced oil can be backfilled with CO2, a methodology has been developed for the identification and screening of oil reservoirs that are suitable for CO2 flooding and for estimating their CO2 sequestration capacity at depletion, as well as under enhanced oil recovery. The methodology has been applied to close to 11,000 oil pools in the Western Canada Sedimentary Basin that are recorded in provincial reserves databases. Of these, 4,767 oil pools are technically suitable for CO2 flooding, with an estimated incremental oil production and total CO2 sequestration capacity of 350×106 m3 (2,200 MMbbl) and 988 Mt CO2, respectively. However, only 110 oil pools have individual CO2 sequestration capacity greater than 1 Mt CO2 each, but together they account for ~61% of the total. The incremental oil production from these 110 oil pools is estimated to be 150×106 m3 (930 MMbbl) oil, and these oil pools should be considered first in detailed studies of CO2 EOR and sequestration. To account for the effect of underlying aquifer influx that reduces CO2 storage capacity, analysis of the production history of these 110 oil pools shows that the water-oil and gasoil ratios are indicative of the strength of the underlying aquifers, but the recovery factor is not. The underlying aquifer is considered strong if cumulative net WOR>0.25, and weak if WOR<0.15. For WOR between 0.15 and 0.25, strong aquifer support is indicated by cumulative GOR<1,000 m3/m3 (5,600 scf/bbl), otherwise the aquifer support is weak. Material balance analysis on 19 of these oil pools with active aquifers indicated that, if the reservoir pressure is only allowed to increase back to the initial pressure, the CO2 sequestration capacity is reduced on average only by ~3%, if the underlying aquifer is weak, and by ~50% if the underlying aquifer is strong.

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.

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)0.001
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 score0.350
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.243
Teacher spread0.227 · 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