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https://doi.org/10.3997/2214-4...
Conference object . 2019 . Peer-reviewed
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Application of DFT in Iron Sulfide Scale Removal from Oil and Gas Wells

Authors: Onawole A.; Hussein I.; Saad M.; Ahmed M.; Aparicio S.;

Application of DFT in Iron Sulfide Scale Removal from Oil and Gas Wells

Abstract

Summary Scale formation including those formed by iron sulfides have been a major hassle in the upstream sector of the oil and gas industry for many decades. Iron Sulfide scales including pyrite (FeS2) and troilite (FeS) often form a precipitate in the matrix formation, tubulars and other downhole equipment in the wells resulting in plant shutdown. Herein, a molecular modelling tool known as Density Functional Theory (DFT) is used to study the binding affinity of chelating agents to ferrous ion, which is the state of iron in pyrite scale. The calculated binding affinity of the chelating agents to Fe2+ increased in the order; GLDA < HEDTA < EDTA < DTPA which correlated with what has been reported experimentally. The number of nitrogen atoms in a chelating agent plays a predominant role in its binding ability. This could give insights on how novel chemicals could be designed which would be more effective and environmentally friendly in iron sulfide scale removal.

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Keywords

Binding affinities, Petroleum industry, Well equipment, Carbonates, Oil and Gas Industry, Binding energy, Matrix formation, Reservoir management, Downhole equipment, Sulfur compounds, Chelation, Plant shutdowns, Pyrites, Gas industry, Binding abilities, Sulfide minerals, Density functional theory, Iron sulfide scale, Chelating agent, Oil and gas well

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
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Energy Research