Unexpected mineral surface fouling, or deposition, is a ubiquitously recurring problem in many industrial and municipal processes (e.g., membrane filtration, oil and gas production). Accurate predictions of mineral deposition and inhibition kinetics are critical for mineral deposition control. Unfortunately, no reliable mineral deposition model is available, potentially due to insufficient knowledge of thermodynamics, crystallization and deposition kinetics, and inhibition kinetics under complex operational conditions. This study developed a new mineral surface deposition and inhibition (MSDI) platform to overcome these challenges. Specifically, the MSDI platform integrates a Pitzer theory-based thermodynamic model that can predict mineral saturation levels up to 250 °C, 1500 bars, and 6 mol/kg H₂O ionic strength. It simulates mineral deposition in two phases. In Phase 1, the first deposition layer forms in the stagnant laminar sublayer following batch crystallization and inhibition kinetics; in Phase 2, the deposition rate is simulated using flow dynamic models, and the inhibitor impacts are modelled by a Langmuir-type kink site adsorption isotherm. This MSDI platform has been validated by laboratory laminar-to-turbulent flow experiments and field observations. As one of the few mineral deposition prediction tools, the MSDI platform has solid theoretical foundation with great accuracy over wide ranges of applicable conditions.

意外的矿物表面结垢或沉积是许多工业和市政过程（例如膜过滤，油气生产）中普遍存在的问题。矿物沉积和抑制动力学的准确预测对于控制矿物沉积至关重要。不幸的是，没有可靠的矿物沉积模型可用，这可能是由于在复杂的操作条件下对热力学，结晶和沉积动力学以及抑制动力学的了解不足。这项研究开发了一种新的矿物表面沉积和抑制（MSDI）平台来克服这些挑战。具体而言，MSDI平台集成了基于Pitzer理论的热力学模型，该模型可以预测高达250°C，1500 bar和6 mol / kg H _2的矿物饱和度离子强度。它模拟了两个阶段的矿物沉积。在阶段1中，在分批结晶和抑制动力学之后，第一沉积层在停滞的层状子层中形成；在阶段2中，使用流动动力学模型模拟沉积速率，并通过Langmuir型扭结位点吸附等温线模拟抑制剂的影响。该MSDI平台已通过实验室层流到湍流实验以及现场观察的验证。作为少数几个矿物沉积预测工具之一，MSDI平台具有扎实的理论基础，在广泛的适用条件下具有很高的准确性。