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Record W7071220599

Simulação numérica de fraturamento hidráulico em um reservatório arenítico da Bacia Sergipe-Alagoas

2019· article· en· W7071220599 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2019
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHydraulic fracturingPermeability (electromagnetism)Fracture (geology)Oil productionWell stimulationOil fieldPetroleum reservoirSensitivity (control systems)
DOInot available

Abstract

fetched live from OpenAlex

Hydraulic fracturing consists of a technique capable of stimulating oil wells that have suffered a decline in production over time, as well as allowing the production of reservoirs that have low permeability, through the creation of a network of channels in the rock, promoting the connection between the pores in the rocky environment. The hydraulically induced fracture in the formation is generally created and propagates at great depths in the reservoir rock. There are several models of fractures that have been developed until then. These models aim to get as close to the real as possible and determine the geometry that the fracture forms in the formation. Currently, some softwares have been developed and used for this type of study. This dissertation aims to numerically simulate the hydraulic fracturing applied in an arenite reservoir according to data extracted from an oil well that has suffered a decline in production over time and also to simulate hydraulic fracturing in the same reservoir with different permeabilities for serve as sensitivity data. The reservoir has a permeability equivalent to 30 mD. For sensitivity data, simulations were performed for different permeabilities, maintaining the same input data regarding the reservoir, also varying the type of propant to be added to the fracture fluid. For this, the software Stimplan-3D was used for the hydraulic fracture simulation of a real well already drilled in the Aracaju City field of the Sergipe-Alagoas Basin. With the input data a geological model of the reservoir was generated. Subsequently, a fracture of controlled form was created in the rock-sandstone reservoir. The geometry of this fracture follows the Perkins and Kern model in that the crack is long and at the same time narrow, presenting an increasing length over time with a constant height. The first simulation was performed for the case where the rock-reservoir has a permeability of 30 mD, and the fractured fluid is used as the propellant type of 30 # X-Link and Bauxite. For sensitivity data, a few more simulations were performed considering that the rock-reservoir had the following permeabilities: 1 mD, 10 mD, 20 mD and 30 mD. For these, the same type of fluid was maintained, but another type of propeller, the Ottawa Sand was used. The results showed that the fracture takes a satisfactory proportion in the rock-reservoir with good accommodation of the granular material inside the fracture for all the cases. The fracture reached a greater penetration depth in the reservoir rock for the cases where the permeability was 1 mD and 30 mD than for the permeabilities of 10 mD and 20 mD. The injection pressure behaved as expected for all simulations, initially high and subsequently suffered decline caused by the addition of certain proppant concentrations. The fracture conductivity was higher for the permeability of 1 mD and lower for the permeability of 30 mD. However, for all cases with different permeabilities, the fracture created in the rock formation, behaved according to the Perkins and Kern fracture model.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.005
GPT teacher head0.197
Teacher spread0.192 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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