Barite is one of the most common mineral scales in the oilfield and its formation can sequester toxic strontium (Sr) and radium (Ra). Various scale inhibitors are widely used to inhibit its formation. The inhibition efficiencies of 18 common inhibitors were tested using an improved kinetic turbidity method over broad oil and gas production conditions. A theoretical and a semi-empirical barite crystallization and inhibition model were developed for the 18 most used scale inhibitors. Both models can work under a broad range of production conditions and are carefully reviewed against all available experimental data. These models have shown wide applications in industrial operations, field testing, and laboratory testing. Using the new models and testing method, a novel fast inhibitor performance testing method was proposed and validated. Furthermore, the barite crystallization and inhibition models also work well to predict the inhibition performance of mixed inhibitors. This study not only advanced barite scale inhibition in an efficiency and low-cost way during oil and gas production, but also provided new insights on understanding the fate and transport of toxic Sr and Ra.

中文翻译：

---

重晶石结晶和抑制动力学的预测模型：在石油和天然气工业中的应用

重晶石是油田中最常见的矿物鳞片之一，其形成可以螯合有毒的锶 (Sr) 和镭 (Ra)。各种阻垢剂被广泛用于抑制其形成。使用改进的动力学浊度法在广泛的石油和天然气生产条件下测试了 18 种常见抑制剂的抑制效率。为 18 种最常用的阻垢剂开发了理论和半经验重晶石结晶和抑制模型。这两种模型都可以在广泛的生产条件下工作，并根据所有可用的实验数据进行仔细审查。这些模型已在工业操作、现场测试和实验室测试中显示出广泛的应用。使用新的模型和测试方法，提出并验证了一种新的快速抑制剂性能测试方法。此外，重晶石结晶和抑制模型也可以很好地预测混合抑制剂的抑制性能。这项研究不仅在石油和天然气生产过程中以高效和低成本的方式促进了重晶石阻垢，而且还为了解有毒 Sr 和 Ra 的归宿和运输提供了新的见解。