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Record W2034579458 · doi:10.2118/144148-ms

Improved Oil Recovery for Fractured Granite Basement Reservoirs: Historical Lessons, Successful Application, and Possibility for Improvement

2011· article· en· W2034579458 on OpenAlexaff
Cuong T. Dang, Zhangxin Chen, Ngoc T. Nguyen, Wisup Bae, Thuoc H. Phung

Bibliographic record

VenueSPE European Formation Damage Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPetroleum engineeringGeologyReservoir modelingBasementOil fieldOil productionOil in placeGeobiologyDrillingMining engineeringRegional geologyPetroleumMetamorphic petrologyGeotechnical engineeringEngineeringCivil engineeringPaleontologyHydrogeology

Abstract

fetched live from OpenAlex

Abstract Discovery and development of naturally fractured reservoir has increased dramatically during past 15 years because more fractured reservoirs are being developed as production from conventional reservoirs is declining. Many oil reservoirs in the world are naturally fractured, but relatively little research has been done on the use of advanced oil recovery methods. In addition, very little success has been achieved in increasing the oil production from these complex reservoirs. Some laboratory experiments have been done to investigate the use of IOR methods for fractured reservoir; however, the results of these studies hard to interpret and to apply to field scale predictions. Thus, it is urgent and necessary to collect the experiences from previous successful researches to reduce the risk level. This study addresses methods and recent advances to enhance oil production in fractured granite basement reservoir of White Tiger field. It is the biggest fractured reservoir up to now on the continental shelf of Vietnam. But, the geological characterization of this reservoir is extremely complex with high uncertainty and challenge in production strategies. Therefore, a numerous of studies were conducted to develop the favorable IOR techniques including advanced emulsion acidizing stimulation, microbial enhanced oil recovery methods, artificial water buffer, directional drilling application, and gel treatment for basement reservoir. These special approaches were achieved many precious successes in increase the recovery factor from 29% to 44.33% and would be significantly extended the life of reservoir. Regarding to the unique characterization of White Tiger field and lack of experiences of producing in fractured basement reservoir, the lessons learned and experiences gained from past 20 historical years are a worthy case study for both current and future development of NFR in the world.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.045
GPT teacher head0.264
Teacher spread0.219 · 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 designNot applicable
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

Citations6
Published2011
Admission routes1
Has abstractyes

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