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Record W2087972653 · doi:10.2118/93241-ms

Gas flood-Flow Pattern Evaluation: Mesozoic Chiapas-Tabasco Basin Field Revisited

2005· article· en· W2087972653 on OpenAlexaff
Maritza Mercado, Borja B. Perez-Martinez, M. Asadi, David Casas

Bibliographic record

VenueAll Days · 2005
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsOncolytics Biotech (Canada)
Fundersnot available
KeywordsInjectorTRACERGeologyStructural basinInjection wellPetroleum engineeringHydrology (agriculture)Flood mythDew pointWirelineFlow (mathematics)Environmental scienceGeomorphologyGeotechnical engineeringMeteorologyEngineeringGeographyMechanics

Abstract

fetched live from OpenAlex

Abstract A gas interwell tracer program was designed and implemented to characterize the flow stream within the current injection/production pattern of the central part of the Mesozoic Chiapas-Tabasco Basin.The field includes one injector and four producers.Due to production, the average reservoir pressure fell and approached the dew point at reservoir conditions.Natural gas was injected to maintain reservoir pressure and optimize condensate production.A chemical interwell tracer was also injected to detect and evaluate the magnitude of any communication between the injection and production wells and to track the areal flow pattern within the field.The study was designed for 18 months and commenced in December 2000 and terminated in mid 2002.The results from the sample analyses provided information on the magnitude of highly permeable channels between the injector and producers as well as flow patterns within the field.Furthermore, the results provided valuable information on breakthrough time and fluid travel time.Sampling discontinued for over a year.In late 2003, it was decided to collect more samples from the same four production wells as well as one of the offset wells.The new sample analysis results indicated tracer concentrations at high levels from all of the wells except one.Based on these new results, a new sweep efficiency and total volume swept between the injection and production wells were calculated and are presented.Finally, an overview of formation heterogeneity, based on the three years interwell tracer study, is presented.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.606
Threshold uncertainty score0.999

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)0.0010.000

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 head0.025
GPT teacher head0.288
Teacher spread0.263 · 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 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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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