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Record W363739990

Osmotic membrane pressure actuator

2011· dissertation· en· W363739990 on OpenAlexaboutno aff
Jonathan Ashley Greene

Bibliographic record

Venue81 · 2011
Typedissertation
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsMembraneForward osmosisPermeationNanofiltrationChemical engineeringMaterials scienceOsmotic pressureDifferential scanning calorimetryReverse osmosisInterfacial polymerizationCeramic membraneMembrane technologyThermogravimetric analysisChemistryComposite materialEngineeringPolymerMonomerThermodynamics
DOInot available

Abstract

fetched live from OpenAlex

This master thesis has focused on the membrane for the osmotic membrane pressure actuator (OMPA). The OMPA is an autonomous inflow control device for intended use in oil and gas wells. Its function is to prevent water from entering the well from the reservoir. This enables improved production and better reservoir management and also minimizes problems caused by produced water upstream. Extreme conditions of high temperature and pressure exist in the offshore reservoir. A commercial membrane material for the OMPA does not exist and a membrane must therefore be developed with excellent thermal, chemical and mechanical stability. Several other important factors have been identified in this thesis. A literature review was conducted to find suitable membrane materials for the OMPA. This focused on materials with glass transition temperatures of >200oC and some ceramic membranes. This list was shortened by cross-referencing with hydrophilic materials and literature regarding osmosis or nanofiltration and the materials. This completed list is presented in this thesis. Three commercially available membranes were received for the experimental. These were partially characterized with thermogravimetric analysis and differential scanning calorimetry. Successful permeation tests were performed on two of these membranes; RO98pHt® polyamide membrane (Alfa Laval) and DuraMem® 150 polyimide membrane (Evonik MET Ltd). Water flux and solute flux and rejection were performed in a reverse osmosis dead end cell at temperatures 23oC, 50oC and 70oC and sodium chloride and sucrose were used as solutes. The RO98pHt® showed increased flux and rejection with increasing temperatures. This was attributed to increased solubility and diffusion of the solvent in the membrane at elevated temperatures. The DuraMem® 150 had increased rejection with temperature whilst the flux remained fairly constant. This was attributed to the effects of compaction counteracting the increased solubility and diffusion. Of the solutes, sucrose had the highest rejection because of its larger size. It may therefore be interesting as a draw solution for use in the OMPA. Neither membrane is suitable for direct use with the OMPA. However, the polyimide material in the DuraMem® 150 membrane may be of interest if fabricated with a more desirable morphology. From the theory and discussion presented in the thesis, an updated list of OMPA membrane requirements was constructed with methods in which to attain these requirements. The dependence of several of the requirements upon one another suggests the need for more experimental data at conditions closer to the field conditions. As commercially available membranes are currently non-existent, fabrication of membrane materials is the next step and some necessary starting literature has been provided. Finally, a new forward osmosis/pressure retarded osmosis rig design has been suggested which allows tests to be conducted at reservoir conditions which more closely mimics the intended operation of the OMPA.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.008

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 head0.014
GPT teacher head0.241
Teacher spread0.227 · 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 designBench or experimental
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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