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Record W2088108274 · doi:10.4043/22509-ms

Recovery of Retrograde Condensed Liquid in Mature Reservoirs of Gas Condensate in Latin America

2011· article· en· W2088108274 on OpenAlexaboutno aff
Gina Luz Vega Riveros, Emad Yehya, Luigi Saputelli

Bibliographic record

VenueOTC Brasil · 2011
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsDew pointDry gasDewNatural gasDrop (telecommunication)Petroleum engineeringNatural gas fieldWet gasPressure dropEnvironmental scienceChemistryGeologyCondensationMeteorologyChromatographyMechanics

Abstract

fetched live from OpenAlex

Abstract The clear increase of the gas and gas condensate reserves at the Eastern part of Venezuela during the last decades can be considered as the best evidence of the current huge efforts to develop those gas potential. More than 65% of the remaining gas reserves are concentrated in the Eastern part of the country, most of which show an initial reservoir pressure equals to or greater than the dew-point pressure, the reservoir temperature is between the critical and the cricondentherm temperatures, and the hydrocarbon mixture originally exists as a single-phase dew-point gas. As a result this would suggest " in-situ?? liquid drop-out between 2 to 12 percent which then after would hinder the natural gas production. This paper shows the obtained results from studied cases of some routine or cyclic dry gas injection in wells of carbonate reservoirs. It has been concluded from the course of study that it is possible to re-evaporate the condensate liquid, especially around the wellbore through changing the composition of the in-situ liquid drop-out. This micro-compositional effect upon the liquid drop-out in the porous media within the vicinity of the well-bore would increase the chance to prolong the multi-wells gas reservoir production life. Previous experiences of dry gas injection were obtained in the mature gas condensate reservoir belonging to the Rapid River and Cold Spring Fields (located in Canada) via injecting pressurized dry gas which leads to an increase of the surface liquid production from 5 to 15 STB/MMSCF. A similar test was made on 12 reservoirs belonging to Cold Spring Field which also leads to an increase of the surface liquid production from 8 to 10 STB/MMSCF, meaning an increase of surface liquid production of almost 25%. Venezuelan reservoir fluids under this study have shown concentrations of 2% to 4% of H2S and 10% to 25% of CO2. Initial Production tests combined with PVT data have shown a progressive degradation in hydrocarbon fluid properties with depth and have also shown a sharp decrease of hydrocarbon gravity from 50° to 32° API. The fluid profile showed a noticeable variation from the shallowest reservoirs, with mainly gas condensate fluids, to the deepest ones with mainly volatile types of fluids. The producing GOR of the gas condensate reservoirs ranges from 5000 to 16000 Scf/STB, whereas those for volatile oils range from 2000 to 5000 Scf/STB. Some gas condensate reservoirs have C7+ mole percentages of less than 12.5. The lab swelling experiments using commercial simulator and field experiences in Latin America have permitted to prove that the injection of dry gas will yield a modification of the reservoir fluid composition as well as its phase envelope, which would increase at the same time the cumulative production, the recovery factor and the production life of the reservoirs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.253
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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