MétaCan
Menu
Back to cohort
Record W1991607862 · doi:10.2118/2003-021

Evaluation of Gas Saturation During Water Imbibition Experiments

2003· article· en· W1991607862 on OpenAlexaffabout
Meng Ding, Apostolos Kantzas, D. Lastockin

Bibliographic record

VenueCanadian International Petroleum Conference · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsImbibitionSaturation (graph theory)Water saturationPetroleum engineeringResidualChemistryMaterials scienceGeologyPorosityComposite materialMathematics

Abstract

fetched live from OpenAlex

Abstract Knowledge of gas saturation history is very important in determining gas recovery from gas reservoirs with water influx. Water imbibition is known to control gas recovery. Spontaneous imbibition experiments have been traditionally employed to determine gas saturation. On-line NMR relaxometry is introduced as a method for monitoring co-current imbibition. A group of plugs from a western Canadian sandstone reservoir were selected and a series of imbibition tests were run. NMR was used to measure the amount of water imbibed in the cores and the gas saturation during each experiment was measured. The values of final residual gas saturation and the production profiles were compared to the results from corresponding counter-current imbibition tests. The correlations of residual gas saturation with initial imbibition rate and other operating parameters were investigated. Through interpretation of the NMR spectra, bound water T2cutoff values were obtained. Water distribution in different pore sizes during the experiments was also calculated. The initial imbibition rate in different pore sizes was measured. Empirical equations from the literature, which were used to describe the behavior of co-current imbibition tests, were applied to the experimental data. The proposed methodology can be used to evaluate the mechanisms of water imbibition in gas reservoirs. Introduction The understanding of the mechanisms that govern spontaneous water imbibition in gas-water systems is important to the development of natural gas reservoirs. Many researchers indicate that residual gas saturation is affected by factors such as wettability, imbibition rate, initial water saturation and also the experiment methods1,2,3. In this work, a group of sandstone plugs underwent co-current imbibition tests. The fluid saturations were measured using NMR relaxometry. The results were compared with those coming from countercurrent imbibition tests from previous work4,5. Some results from the literature6,7 were also tested against our experimental results. In 1960, Handy6 developed an equation to describe the behavior of co-current imbibition tests. He postulated that the weight or volume of imbibed water is proportional to the square root of imbibition time: Equation (1) (Available in full paper) It this equation, A and Nwt are the cross-section area of the core and the volume of water imbibed into the core respectively. Swf is the water saturation behind the imbibition front. kw and Pc are the effective water permeability and capillary pressure at Swf respectively. Finally ∅is the porosity and µw is the viscosity of the imbibing brine. Li and Horne7 point out there are some disadvantages of Handy's equation6 since effective water saturation behind the front and capillary pressure cannot be calculated separately and the relationship between the square of weight gain and the time is not a straight line during the later period of water imbibition. They developed an equation to describe the relationship between the imbibition rate and gas recovery based on the assumption of a piston-like imbibition flow. In their equation, the imbibition rate should be in a linear relation with the reciprocal of gas recovery. They performed cocurrent water imbibition tests in a balance using a glass bead pack and a Berea sandstone plug.

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 categoriesInsufficient payload (model declined to judge)
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 score0.587
Threshold uncertainty score0.998

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)0.0060.000

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 head0.024
GPT teacher head0.316
Teacher spread0.292 · 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.

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

Citations9
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueCanadian International Petroleum ConferenceSame topicNMR spectroscopy and applicationsFrench-language works237,207