有阻垢剂或无阻垢剂时不同流动条件下矿物垢沉积新模型

Z. Dai, A. Kan, Yi-Tsung Lu, Cianna Leschied, Yue Zhao, Chong Dai, Xin Wang, Samridhdi Paudyal, Saebom Ko, M. Tomson
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引用次数: 0

摘要

由于油气行业的生产损失和设备损坏,矿垢形成每年造成数十亿美元的损失。准确预测何时、何地、有多少、多快的结垢将沉积在生产系统中,以及需要多少阻垢剂,对于结垢管理至关重要。不幸的是,由于下面的挑战,没有一个复杂的尺度沉积模型可用。首先,目前还没有一个精确的热力学模型来预测油田中不同温度、压力和卤水成分下的结垢潜力。其次,由于油田作业条件复杂,水、油、气的流速、油管尺寸、表面粗糙度等变化很大,因此油田中可能会出现大范围的流动模式和状态,需要在沉积模型中进行覆盖。第三,阻垢剂对矿物沉积过程的影响尚不完全清楚。本研究的目的是克服这些挑战,并开发一个模型来预测在不同流动条件下的矿物沉积,有或没有阻垢剂。具体来说,经过几十年的努力,我们小组开发了一种最准确和最广泛使用的热力学模型,该模型被用于新的沉积模型中,以预测高达250°C, 1,500 bar和6 mol/kg H2O离子强度的结垢势。此外,利用复杂的流体动力学模型模拟了从层流(Re < 2300)到湍流(Re > 3100)流型以及油田中偶尔出现的过渡流型(2300 < Re < 3100)的传质系数。更重要的是,新的沉积模型还包含了阻垢剂对垢沉积的影响,并通过langmuir型结位吸附等温线进行了测试和量化。在所需的保护时间或最大沉积厚度速率下,可以预测所需的最小抑制剂剂量。该模型还考虑了层流中入口区流型、表面粗糙度和湍流下层流亚层稳定性的影响。我们对重晶石和方解石的层流油管沉积实验以及文献中的层流-湍流实验验证了新的矿物垢沉积模型。实验结果与模型预测吻合较好,证明了新模型的有效性。这种新的矿物垢沉积模型是油气行业第一个复杂的模型,可以预测在有或没有阻垢剂的复杂油田条件下的矿物垢沉积。这种新的矿物结垢沉积模型将为油田结垢控制提供实用的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Mineral Scale Deposition Model Under Different Flow Conditions with or Without Scale Inhibitors
Mineral scale formation causes billions of dollars’ loss every year due to production losses and facility damages in the oil and gas industry. Accurate predictions of when, where, how much, and how fast scale will deposit in the production system and how much scale inhibitor is needed are critical for scale management. Unfortunately, there is not a sophisticated scale deposition model available, potentially due to the challenges below. First, an accurate thermodynamic model is not widely available to predict scale potential at extensive ranges of temperature, pressure, and brine compositions occurring in the oilfield. Second, due to the complex oilfield operation conditions with large variations of water, oil and gas flow rates, tubing size, surface roughness, etc., wide ranges of flow patterns and regimes can occur in the field and need to be covered in the deposition model. Third, how scale inhibitors impact the mineral deposition process is not fully understood. The objective of this study is to overcome these challenges and develop a model to predict mineral deposition at different flow conditions with or without scale inhibitors. Specifically, after decades of efforts, our group has developed one of the most accurate and widely used thermodynamic model, which was adopted in this new deposition model to predict scale potential up to 250 °C, 1,500 bars, and 6 mol/kg H2O ionic strength. In addition, the mass transfer coefficients were simulated from laminar (Re < 2300) to turbulent (Re > 3,100) flow regimes, as well as the transitional flow regimes (2300 < Re < 3,100) which occur occasionally in the oilfield using sophisticated flow dynamics models. More importantly, the new deposition model also incorporates the impacts of scale inhibitors on scale deposition which was tested and quantified with Langmuir-type kink site adsorption isotherm. The minimum inhibitor dosage required can be predicted at required protection time or maximum deposition thickness rate. This model also includes the impacts of entry-region flow regime in laminar flow, surface roughness, and laminar sublayer stability under turbulent flow. The new mineral scale deposition model was validated by our laminar tubing flow deposition experiments for barite and calcite with or without scale inhibitors and laminar-to-turbulent flow experiments in literature. The good match between experimental result and model predictions show the validity of our new model. This new mineral scale deposition model is the first sophisticated model available in the oil and gas industry that can predict mineral scale deposition in the complex oilfield conditions with and without scale inhibitors. This new mineral scale deposition model will be a useful and practical tool for oilfield scale control.
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