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Record W2096592370 · doi:10.2118/63084-ms

Theoretical and Experimental Investigation of Isothermal Compositional Grading

2000· article· en· W2096592370 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.

Bibliographic record

VenueAll Days · 2000
Typearticle
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsSchlumberger (Canada)
Fundersnot available
KeywordsCentrifugeIsothermal processNon-equilibrium thermodynamicsGravitational fieldThermodynamicsOil fieldGravitationTemperature gradientMechanicsChemistryPhysicsGeologyClassical mechanicsPetroleum engineering

Abstract

fetched live from OpenAlex

Abstract A centrifuge system capable of producing a potential difference across a live oil column equivalent to 1000 ft of gravitational head was designed and tested. Initial tests on a simple ternary system yielded results similar to equation of state (EOS) models. A black oil sample from a Gulf of Mexico field, Bullwinkle J2-RB sand, exhibiting compositional gradients was segregated in the centrifuge. Experimental results from the centrifuge were similar to field values indicating that the large variation in composition observed for this field may be attributed to gravitational segregation alone. From these results of these two sets of experiments and the subsequent analysis of the graded fractions, we can conclude that significant compositional variation of reservoir fluids not near their vapor-liquid critical points can be caused by gravity alone. The grading phenomenon is sensitive to the saturate/aromatic balance of the oil. Existing EOS models did not correctly predict the compositional variations in fluids like the Bullwinkle J2-RB because pseudocomponents generated from volatility distributions have a fixed saturate/aromatic character. It is subtle changes in the saturate/aromatic balance that drive the grading phenomena for these fluids. Introduction Compositional variation with depth has been observed in many reservoirs. These gradients result from a variety of causes and typically indicate nonequilibrium states. Gradients in composition can be observed in systems in equilibrium when chemical potential gradients are balanced by the gravitational potential gradient1–4. Temperature gradients can also contribute to concentration variation. However, in this situation a steady state not equilibrium state exists in the reservoir5–6. Equilibrium composition gradients have been observed and modeled by various authors in near critical reservoirs. Whitson3 provides a comprehensive summary of these efforts. We have encountered a reservoir in the Gulf of Mexico, Bullwinkle J2-RB, with significant variation in GOR and saturation pressure with depth. The Bullwinkle fluid is not near its vapor liquid critical point at any location in the column. However, the saturation pressure varies by about 3 psia/ft and the GOR changes by nearly 700 SCF in 800 ft of oil column. The gradient in saturation pressure is even larger than equilibrium gradients typically predicted for near critical fluids. Existing EOS models could not be tuned to fit this behavior. Isotope analysis of the gas shows no significant variation in methane isotope ratios across the column. This indicates that at least the light ends are well mixed and suggests an equilibrium condition in the reservoir. To develop tools to predicting composition variation away from well control, we need to understand the mechanism causing the gradients in fluid properties in the Bullwinkle J2-RB. An experimental apparatus to test the gravitational grading mechanism at Bullwinkle was designed. The results of these experiments and additional modeling work have provided us with a mechanism that can account for the grading in the Bullwinkle J2-RB.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.999

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)0.0020.000

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 head0.006
GPT teacher head0.221
Teacher spread0.214 · 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