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Record W1998705907 · doi:10.2118/04-02-tn1

Biologically Formed Calcium Carbonate, A Durable Plugging Agent For Enhanced Oil Recovery

2004· article· en· W1998705907 on OpenAlexaffabout
Mehdi Nemati, Gerrit Voordouw

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2004
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversity of CalgaryUniversity of Saskatchewan
Fundersnot available
KeywordsUreaseCalcium carbonateChemistryUreaEnhanced oil recoveryPermeability (electromagnetism)CalciumProduced waterBacteriaMicrobial enhanced oil recoveryCarbonateChemical engineeringChromatographyBiochemistryMicroorganismEnvironmental engineeringGeologyOrganic chemistryEnvironmental science

Abstract

fetched live from OpenAlex

Abstract Biological formation of calcium carbonate, catalyzed by purified urease enzyme or urease enzyme produced by a bacterium isolated from a Canadian oil field, were studied in batch systems. The extent of enzymatically produced CaCO3 increased with increases in enzyme and reactant concentrations, as well as temperature. In the presence of bacteria, the quantity of produced CaCO3 was dependent on urea concentration, with the highest amounts achieved with 15 g/L urea. The maximum concentration of CaCO3 produced enzymatically (57.6 g/L) was 2.6 times higher than that achieved in the presence of bacteria (21.5 g/L). Bacterial production of CaCO3 was less sensitive to temperature, whereas CaCO3 production rates with the urease enzyme were enhanced as temperature increased from 20 to 50 °C. Plugging studies in unconsolidated porous media and in a core-flooding system with Berea sandstone indicated that in situ formations of CaCO3 could effectively reduce the permeability of porous media and can be used as an efficient approach in enhanced oil recovery operations. Introduction The injection of water into oil reservoirs (water flooding) is common for enhanced oil recovery. When water is injected into a reservoir, flow is preferentially diverted into high permeability zones from which oil has already been recovered during primary production. Increased permeability variation decreases volumetric sweep efficiency of injected water and cross flow complicates this problem by allowing flow between contrasting layers, leading to an unacceptably high ratio of produced water to oil(1,2). The excessive production of water can be controlled by selective plugging of high permeability areas in the reservoir. Selective plugging of the reservoir by bacterial biomass, or insoluble biopolymers produced by microorganisms, has been suggested as a means to improve microscopic and volumetric sweep efficiencies within the geological formation(2–4). Recently, the use of bacterially precipitated inorganic compounds such as calcium carbonate and silica have been suggested as an effective method for selective plugging of reservoirs(2). The controlled biological formation of CaCO3 is based on the decomposition of urea to carbonate and ammonium ions by the catalytic action of the urease enzyme (reaction 1), either introduced into the system or produced in situ by a bacterium with urease activity, and the reaction of the produced carbonate ion with calcium ion (reaction 2): (1) N H 2 - C O - N H 2 + 2 H 2 O → 2 N H 4 + + C O 3 2 - (2) C a 2 + + C O 3 2 - → C a C O 3 ↓ In the present work, controlled enzymatic and bacterial formation of calcium carbonate were studied, using a purified urease enzyme and a bacterium isolated from a Canadian oil field. The results of plugging tests in unconsolidated porous media and a core-flooding system with Berea sandstone are described. Theory and Experimental Procedures Biological formation of CaCO3, either catalyzed by the urease enzyme or by a bacterium with urease production ability, was studied in batch systems. The effects of enzyme concentration, reactants concentration (urea and calcium chloride), and temperature were investigated. With the bacterially mediated reaction, effects of urea concentration, ratio of calcium chloride and urea concentrations, as well as the availability of yeast extract on production of CaCO3, were assessed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.009
GPT teacher head0.192
Teacher spread0.184 · 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

Citations6
Published2004
Admission routes2
Has abstractyes

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