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

Abdulmujeeb T. Onawole, I. Hussein, M. Saad, M. Ahmed, S. Aparicio
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引用次数: 2

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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DFT在油气井硫化铁除垢中的应用
数十年来,包括硫化铁地层在内的结垢地层一直是油气上游行业的一大难题。硫化铁鳞片,包括黄铁矿(FeS2)和三硝石(FeS),经常在基质地层、管柱和其他井下设备中形成沉淀,导致工厂停工。本文采用密度泛函理论(DFT)的分子建模工具,研究螯合剂对亚铁离子的结合亲和力,即黄铁矿垢中铁的状态。计算出的螯合剂对Fe2+的结合亲和力依次增大;GLDA < HEDTA < EDTA < DTPA,与实验结果相关。螯合剂中氮原子的数目对其结合能力起主要作用。这可以为如何设计在硫化铁除垢中更有效和更环保的新型化学品提供见解。
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