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Record W1976249548 · doi:10.2118/2001-059

Formation Heat Treatment Process by Combustion of Gases Around the Wellbore

2001· article· en· W1976249548 on OpenAlexafffundabout
Javier E. Sanmiguel, D. G. Mallory, S. A. Mehta, R.G. Moore

Bibliographic record

VenueCanadian International Petroleum Conference · 2001
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWellborePetroleum engineeringProcess (computing)CombustionEnvironmental scienceGeologyNuclear engineeringProcess engineeringWaste managementComputer scienceEngineeringChemistry

Abstract

fetched live from OpenAlex

Abstract Formation heat treatment is a process that has great potential as a method to increase the permeability of a formation, remove the damage caused during operations such as drilling, completions, and work-overs, and/or partially destroy the structure of clay in the near wellbore area. Published experimental work examining this technique confirms that, as a result of formation heating, blocking water can be vaporized, the clay structure may become dehydrated, the structure of the clays can be partially destroyed and, at temperatures above 600 °C, microfractures can be generated in the sandstone. The few field studies utilizing this technique which have been reported list excellent results. However, the combination of high energy requirements and the use of specialized equipment make the technique costly so that its application in the field has not been accepted widely. Research into the combustion of gases in porous media at the University of Calgary is being carried out with the aim of applying the concept to the process of formation heating. Gaseous combustible mixtures may be injected and dispersed homogeneously through the entire matrix, ensuring a uniform treatment of the formation as well as potential modification of the formation's structural and fluid mechanical properties. In the field applications of this technique, the exothermic reaction will take place within of the formation so that the well bore will not be exposed to high temperatures, and the only energy requirements for the operation will be for the compression and injection of the gases. A gas combustion tube has been designed, constructed and commissioned in order to evaluate the effects of controlling parameters such as operating pressure, gas flow rate, type and pore size of media, and concentration of gas fuel on combustion characteristics. Experiments have been carried out using two different porous media, and the effects of operating pressures from atmospheric (88.5 kPa or 12.8 psia) to 777.7 kPa (112.8 psia) have been studied. Lean mixtures of natural gas and air (5.4% to 5.6%, by volume) were used. It will be shown that it is possible to reach temperatures above 600oC within of the porous media. The size of the region exposed to temperatures greater than 600 °C increases as the pore size decreases. The velocity of the front, and the maximum temperature, have both been found to increase as the relative velocity of the gases increases. Introduction Formation damage can occur at any stage during the lifetime of a well. Operations such as drilling, completion, workovers, and stimulations expose the formation to fluids that may be almost all incompatible with the formation and its original fluids. These situations can cause a reduction in the permeability of the formation around the well bore, and/or a reduction in the production of fluids. This problem is usually severe in horizontal wells, because of longer exposure of the wellbore to the incompatible fluids. A detailed description of the formation damage mechanisms is presented in the literature(1). The most popular method currently used to remedy formation damage is hydraulic fracturing of the matrix.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

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)0.0010.000

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 head0.018
GPT teacher head0.250
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations8
Published2001
Admission routes3
Has abstractyes

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