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Record W2464367372

Understanding governing fluid flow mechanisms in a mature Omani oil field - A case study

2005· article· en· W2464367372 on OpenAlexaff
F. Boukadi, Ali Al-Bemani, Tayfun Babadagli

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGeologyAquiferDolomitePetroleum engineeringOil fieldBlock (permutation group theory)Flow (mathematics)PetrologyGeotechnical engineeringMining engineeringGeochemistryGroundwaterMechanics
DOInot available

Abstract

fetched live from OpenAlex

The Omani field under study was acquired by Petrogas (a local Omani company) from Elf-Oman. The field extends over 63 km 2 and is a major part of the Butabul permit. Haushi, the hydrocarbon-bearing formation, consists of tight upper sandstone containing most of the remaining oil (practically unmoved), a dolomite drain from which most of the active wells are producing and a prolific sand drain that has been nearly swept. A pinchout that terminates the sand drain over the eastern part of the accumulation is a major characteristic of the field. Another feature is an active edge water aquifer attached to the sand drain and contributing to pressure support of most of the producers. Numerous field-scale reservoir simulation runs were performed to understand the intricate fluid flow mechanisms, to investigate better production options and to recommend a better management program. A total of one hundred and eighty one runs were carried out to initialize the model, history match it and perform the different sensitivities. During the preliminary history matching exercise, simulating the different profiles was a difficult task. The turning point was the superimposition of regional reservoir pressures, which indicated the existence of three distinct fluid flow regions. A western block attached to an active aquifer; a central block under the combined influence of the aquifer dynamic front and a significant crossflow from the pinching out sand drain into the relatively less permeable dolomite drain, and an eastern block with waterflooded as well as depleted wells. In the field, most of the shut-in wells (W3, W16, W19, W20 and W21) produced from the western part of the reservoir and have been watered out by the aquifer. Other wells (W4, W9, Wll and W14) are still active and produce from the central part. W1, W5, W15 and W22, located on the eastern block, are waterflooded by W3, a producer that has been converted to an injector. W8 is another eastern block well that contributes to production. Other eastern block wells like W6, W7, W10 and Wl 7 have been shut-in due to completion and mechanical problems. Thereafter, having identified the governing fluid flow mechanisms and affected areas, a successful history matching campaign was achieved in terms of estimating initial volumes in place, fingerprinting reservoir pressures and production profiles. Prediction and sensitivity runs then followed. Strategies on how to upgrade the reservoir performance were also established.

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 categoriesnone
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 score0.544
Threshold uncertainty score0.614

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)0.0000.000

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 head0.049
GPT teacher head0.281
Teacher spread0.231 · 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.

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".

Quick stats

Citations1
Published2005
Admission routes1
Has abstractyes

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