储层温度下注入MgCl2卤水的Stevns Klint和Kansas Chalk岩心驱油和稳态原理测定的反应动力学

P. Andersen, R. Korsnes, A. Olsen, Erik Bukkholm
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引用次数: 1

摘要

提出了一种确定岩心驱替反应动力学的方法:在岩心中注入不同成分的活性盐水,注入速率系统变化。每次组合都要进行到稳定状态,此时出水浓度不再随时间发生显著变化。较低的注入速度使盐水有更多的时间反应。我们还建议进行关井测试,在规定的时间内,盐水与岩心发生静态反应,然后将其冲出。并与驱油实验结果进行了对比。这种设计允许表征反应动力学从一个核心。稳态数据可以直接与注入盐水随时间逐渐平衡相比较,不需要对整个动态实验进行时空建模,因此可以对实验进行有效的建模和匹配。每个稳态数据点表示有助于约束参数选择的不同信息。反应动力学可以预测平衡状态和达到平衡所需的时间。考虑色散增加了复杂性,因为需要找到耦合溶液的空间分布,建议在获得动力学的第一次估计后作为第二步。它仍然比模拟全动态实验要有效得多。将0.0445和0.219 mol/L MgCl2分别注入丹麦的Stevns Klint粉笔和美国的Kansas粉笔中进行实验。含油白垩油藏对注入海水具有化学敏感性,因此白垩的反应动力学非常重要。这些反应会改变润湿性,削弱岩石强度,从而影响储层压实、采油和储层管理。温度分别为100°C和130°C(北海储层温度)。驱油期间的速率从0.25到16 PV/d不等,而关井测试的当量速率降至1/28 PV/d。结果表明:钙离子生成,镁离子保留(分别与方解石溶解和菱镁矿沉淀有关);这是以类似取代的方式发生的,其中Ca的增益与Mg2+的损失相似。在此基础上建立了一个简单的反应动力学模型,该模型具有三个独立的可调参数(速率系数、反应阶数和平衡常数),并结合平流分析计算了注入组分、注入速率和反应动力学参数时的稳态出水浓度。通过调整反应动力学参数,可以有效地拟合实验稳态数据。根据数据趋势,每个核心的参数确定相对准确。通过灵敏度分析说明了反应参数、孔隙速度和分散度对反应的影响。稳态方法允许计算效率匹配,甚至与复杂的反应动力学。利用PHREEQC软件中的综合地球化学描述,通过匹配(停留)时间的稳态浓度变化来确定方解石和菱镁矿矿物反应的动力学。该模拟器预测Ca的生成与Mg的损失几乎相同。地球化学软件预测方解石在MgCl2中的溶解度比在100和130°C时观察到的要高得多。
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Reaction Kinetics Determined from Core Flooding and Steady State Principles for Stevns Klint and Kansas Chalk Injected with MgCl2 Brine at Reservoir Temperature
A methodology is presented for determining reaction kinetics from core flooding: A core is flooded with reactive brine at different compositions with injection rates varied systematically. Each combination is performed until steady state, when effluent concentrations no longer change significantly with time. Lower injection rate gives the brine more time to react. We also propose shut-in tests where brine reacts statically with the core a defined period and then is flushed out. The residence time and produced brine composition is compared with the flooding experiments. This design allows characterization of the reaction kinetics from a single core. Efficient modeling and matching of the experiments can be performed as the steady state data are directly comparable to equilibrating the injected brine gradually with time and does not require spatial and temporal modeling of the entire dynamic experiments. Each steady state data point represents different information that helps constrain parameter selection. The reaction kinetics can predict equilibrium states and time needed to reach equilibrium. Accounting for dispersion increases the complexity by needing to find a spatial distribution of coupled solutions and is recommended as a second step when a first estimate of the kinetics has been obtained. It is still much more efficient than simulating the full dynamic experiment. Experiments were performed injecting 0.0445 and 0.219 mol/L MgCl2 into Stevns Klint chalk from Denmark, and Kansas chalk from USA. The reaction kinetics of chalk are important as oil-bearing chalk reservoirs are chemically sensitive to injected seawater. The reactions can alter wettability and weaken rock strength which has implications for reservoir compaction, oil recovery and reservoir management. The temperature was 100 and 130°C (North Sea reservoir temperature). The rates during flooding were varied from 0.25 to 16 PV/d while shut-in tests provided equivalent rates down to 1/28 PV/d. The results showed that Ca2+ ions were produced and Mg2+ ions retained (associated with calcite dissolution and magnesite precipitation, respectively). This occurred in a substitution-like manner, where the gain of Ca was similar to the loss of Mg2+. A simple reaction kinetic model based on this substitution with three independent tuning parameters (rate coefficient, reaction order and equilibrium constant) was implemented together with advection to analytically calculate steady state effluent concentrations when injected composition, injection rate and reaction kinetic parameters were stated. By tuning reaction kinetic parameters, the experimental steady state data could be fitted efficiently. From data trends, the parameters were determined relatively accurate for each core. The roles of reaction parameters, pore velocity and dispersion were illustrated with sensitivity analyses. The steady state method allows computationally efficient matching even with complex reaction kinetics. Using a comprehensive geochemical description in the software PHREEQC, the kinetics of calcite and magnesite mineral reactions were determined by matching the steady state concentration changes as function of (residence) time. The simulator predicted close to identical production of Ca as loss of Mg. The geochemical software predicted much higher calcite solubility in MgCl2 than observed at 100 and 130°C for Stevns Klint and Kansas.
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