A Quantitative Study of Sr2+ Impact on Barite Crystallization and Inhibition Kinetics

Yue Zhao, Z. Dai, Chong Dai, Xin Wang, Samridhdi Paudyal, Saebom Ko, Xuanzhu Yao, Cianna Leschied, A. Kan, M. Tomson
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Abstract

Scale inhibitors have been widely used for barite scale control. Our group has developed several barite crystallization and inhibition models to predict the crystallization and inhibition kinetics of pure barite with different inhibitors and calculate the minimum inhibitor concentration (MIC) required. However, instead of pure barite scale formation, the incorporation of Sr2+ can be frequently found in the oilfield, because of the coexistence of Ba2+ and Sr2+ in the produced water, which can influence the kinetics of crystallization and inhibition significantly. As a result, the MIC predicted could be off significantly. Therefore, in this study, the effect of Sr2+ on barite crystallization and inhibition kinetics is quantitatively investigated to evaluate the accuracy of MIC values under various conditions. The induction time of barite with different concentrations of Sr2+ was measured by laser apparatus without or with different concentrations of scale inhibitor diethylenetriamine penta(methylene phosphonic acid) (DTPMP) at the conditions: barite saturation index (SI) from 1.5 to 1.8; temperature (T) from 40 to 70 ℃; and [Sr2+]/[Ba2+] molar ratios from 0 to 15, all with celestite SI < 0. The results show that the induction time of the barite increases with [Sr2+]/[Ba2+] ratio at a fixed barite SI, T and DTPMP dosage. That means the MIC will be overestimated if it is calculated by previous semiempirical pure barite crystallization and inhibition models, without considering the presence of Sr2+. Based on the experimental results, the novel quantitative barite crystallization and inhibition models that include the influence of Sr2+ were developed for the first time as follows: Barite crystallization model with the influence of Sr2+: l o g 10 t 0 B a S O 4 ,   S r = ( 1.523 − 10.88 S I − 895.67 T ( K ) + 5477 S I × T ( K ) + 0.829 × [ C a 2 + ] ) + ( 0.823 S I + 85.44 T ( K ) − 0.667 ) × ( [ Sr 2 + ] [ B a 2 + ] ) Barite inhibition model including the influence of Sr2+ l o g 10 ( t i n h B a s o 4 , S r t 0 B a S O 4 , S r ) = b B a S O 4 , S r × C i n h l o g 10 b B a S O 4 , S r = ( − 2.187 − 1.411 × S I + 1329.29 T ( K ) + 0.153 × p H ) + ( 0.0983 × S I − 74.66 T ( K ) + 0.099 ) × ( [ Sr 2 + ] [ B a 2 + ] ) These novel models are in good agreement with the experimental data. They are used to predict the induction time and MIC more accurately at these common Ba2+ and Sr2+ coexisting scenarios. The observations and new models proposed in this study will significantly improve the barite scale management when Ba2+ and Sr2+ coexist in the oilfield.
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Sr2+对重晶石结晶及缓蚀动力学影响的定量研究
阻垢剂已广泛应用于重晶石阻垢。本小组开发了几种重晶石结晶和抑制模型,用于预测不同抑制剂对纯重晶石的结晶和抑制动力学,并计算所需的最小抑制剂浓度(MIC)。然而,由于采出水中Ba2+和Sr2+共存,在油田中经常发现Sr2+的掺入,而不是纯粹的重晶石结垢,这对结晶和抑制动力学有显著影响。因此,MIC的预测可能会有很大偏差。因此,本研究定量研究了Sr2+对重晶石结晶和抑制动力学的影响,以评价不同条件下MIC值的准确性。在重晶石饱和指数(SI)为1.5 ~ 1.8的条件下,用激光测定仪测定了不同浓度Sr2+对重晶石的诱导时间。温度(T) 40 ~ 70℃;和[Sr2+]/[Ba2+]摩尔比为0 ~ 15,均为SI < 0。结果表明:在一定的重晶石SI、T和DTPMP用量下,随着[Sr2+]/[Ba2+]比值的增加,重晶石的诱导时间增加;这意味着如果用以前的半经验纯重晶石结晶和抑制模型来计算,而不考虑Sr2+的存在,MIC将被高估。基于实验结果,首次建立了考虑Sr2+影响的新型重晶石结晶与抑制定量模型:Sr2+影响的重晶石结晶模型:l o g 10 t 0 B S o 4, r =(1.523−10.88年代我−895.67 t (K) + 5477年代我××t (K) + 0.829 (C 2 + ] ) + ( 0.823 S I + 85.44 T (K)−0.667)×([老2 +][B 2 +])重晶石抑制模型的影响包括Sr2 + l o g 10 (T I n h B S o 4 S r T 0 B S o 4, S r) = B B S o 4, S r×C I n h l o g 10 B B S o 4,Sr =(−2.187−1.411 × S I + 1329.29 T (K) + 0.153 × p H) + (0.0983 × S I−74.66 T (K) + 0.099) × ([Sr 2 +] [B a 2 +])。在常见的Ba2+和Sr2+共存的情况下,它们可以更准确地预测诱导时间和MIC。本研究的观测结果和新模型将显著改善油田中Ba2+和Sr2+共存时的重晶石垢管理。
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