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Record W2321056751 · doi:10.2118/179585-ms

Evaluation of Gas Assisted Gravity Drainage GAGD in Naturally Fractured Reservoirs NFR

2016· article· en· W2321056751 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

VenueSPE Improved Oil Recovery Conference · 2016
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPetroleum engineeringGeologyDrillingDrillFracture (geology)Drilling fluidMatrix (chemical analysis)Oil fieldFlow (mathematics)Submarine pipelineFluid dynamicsGeotechnical engineeringCompletion (oil and gas wells)EngineeringMechanicsMechanical engineeringMaterials science

Abstract

fetched live from OpenAlex

Abstract The EOR activity has been very restricted in naturally fractured reservoirs (NFR) because the fluid behavior on these reservoirs are strongly dependent of specific properties of the fractures such as direction, length, thickness, morphology and angle, and good tools were not available to get this information accurately from the reservoirs in the past. Today it is possible to get a lot of information on the fractures by using direct data sources like core samples, drill cuttings and downhole cameras; or even by indirect data sources like well log, well drilling, production history and seismic. These advancements in the data acquisition have facilitated EOR applications and the EOR activity has increased in the past few years in NFR. GAGD is a promising technique that uses the gravitational flow to improve the sweep efficiency in the reservoir and increase oil recovery. Its benefits have been proven in some academic works and in field applications, such as the Cantarell Oil field that achieved outstanding results. In this work, we have developed an experimental model that simulates the flow behavior of NFR from a Brazilian offshore oilfield. The model uses rectangular Berea Sandstones blocks that simulate the matrix rock in the experiments and these blocks are separated by small gaps using metal spacers. These gaps act as the fractures in the experimental model. The experimental conditions are close to the reservoir and the used configuration simulates the interaction between matrix and fracture, as well as the flow in the fractures. In the experiments the blocks are packed in a high-pressure physical model in the desired configuration. The gas is injected from the top and the oil is produced from the bottom. This work investigated the influence of the gas injection rate on oil production. The experiments were history matched using the commercial numerical simulator GEM from CMG. The experimental results showed good oil recovery performance with recovery factor as high as 40 per cent of OOIP, and it was observed that this value increases when higher gas rates are used. The numerical simulator has some limitations but provided a good history match with the results of the experiments. This paper proves the efficiency of the CO2 injection in NFR and also presents a new procedure for experimental modeling of fractured systems.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score0.842

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.020
GPT teacher head0.253
Teacher spread0.232 · 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